// source: api.proto
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/**
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* @fileoverview
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* @enhanceable
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* @suppress {missingRequire} reports error on implicit type usages.
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* @suppress {messageConventions} JS Compiler reports an error if a variable or
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* field starts with 'MSG_' and isn't a translatable message.
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* @public
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*/
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// GENERATED CODE -- DO NOT EDIT!
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/* eslint-disable */
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// @ts-nocheck
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var jspb = require('google-protobuf');
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var goog = jspb;
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goog.exportSymbol('proto.tensorflow.AttrValue.ListValue', null, global);
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goog.exportSymbol('proto.tensorflow.AttrValue.ValueCase', null, global);
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goog.exportSymbol('proto.tensorflow.CollectionDef', null, global);
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goog.exportSymbol('proto.tensorflow.CollectionDef.AnyList', null, global);
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goog.exportSymbol('proto.tensorflow.CollectionDef.BytesList', null, global);
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goog.exportSymbol('proto.tensorflow.Tensor', null, global);
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goog.exportSymbol('proto.tensorflow.TensorInfo.CooSparse', null, global);
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goog.exportSymbol('proto.tensorflow.TensorInfo.EncodingCase', null, global);
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goog.exportSymbol('proto.tensorflow.TensorShape', null, global);
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goog.exportSymbol('proto.tensorflow.TensorShape.Dim', null, global);
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goog.exportSymbol('proto.tensorflow.VersionDef', null, global);
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/**
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* @param {Array=} opt_data Optional initial data array, typically from a
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* If no data is provided, the constructed object will be empty, but still
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/**
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* If no data is provided, the constructed object will be empty, but still
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/**
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* If no data is provided, the constructed object will be empty, but still
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/**
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* If no data is provided, the constructed object will be empty, but still
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/**
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* If no data is provided, the constructed object will be empty, but still
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/**
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* If no data is provided, the constructed object will be empty, but still
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/**
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* If no data is provided, the constructed object will be empty, but still
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/**
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* @param {Array=} opt_data Optional initial data array, typically from a
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* If no data is provided, the constructed object will be empty, but still
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/**
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* @param {Array=} opt_data Optional initial data array, typically from a
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* If no data is provided, the constructed object will be empty, but still
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*/
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/**
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* Generated by JsPbCodeGenerator.
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* @param {Array=} opt_data Optional initial data array, typically from a
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* If no data is provided, the constructed object will be empty, but still
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/**
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* Generated by JsPbCodeGenerator.
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* @param {Array=} opt_data Optional initial data array, typically from a
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* If no data is provided, the constructed object will be empty, but still
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/**
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* @param {Array=} opt_data Optional initial data array, typically from a
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* If no data is provided, the constructed object will be empty, but still
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/**
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* Generated by JsPbCodeGenerator.
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* @param {Array=} opt_data Optional initial data array, typically from a
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* in place and becomes part of the constructed object. It is not cloned.
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* If no data is provided, the constructed object will be empty, but still
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* @constructor
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/**
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* Generated by JsPbCodeGenerator.
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* @param {Array=} opt_data Optional initial data array, typically from a
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* server response, or constructed directly in Javascript. The array is used
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* in place and becomes part of the constructed object. It is not cloned.
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* If no data is provided, the constructed object will be empty, but still
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* @constructor
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jspb.Message.initialize(this, opt_data, 0, -1, proto.tensorflow.CollectionDef.Int64List.repeatedFields_, null);
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/**
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proto.tensorflow.CollectionDef.Int64List.displayName = 'proto.tensorflow.CollectionDef.Int64List';
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/**
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* Generated by JsPbCodeGenerator.
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* @param {Array=} opt_data Optional initial data array, typically from a
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* server response, or constructed directly in Javascript. The array is used
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* in place and becomes part of the constructed object. It is not cloned.
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* If no data is provided, the constructed object will be empty, but still
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* @extends {jspb.Message}
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* @constructor
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*/
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jspb.Message.initialize(this, opt_data, 0, -1, proto.tensorflow.CollectionDef.FloatList.repeatedFields_, null);
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goog.inherits(proto.tensorflow.CollectionDef.FloatList, jspb.Message);
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if (goog.DEBUG && !COMPILED) {
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/**
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proto.tensorflow.CollectionDef.FloatList.displayName = 'proto.tensorflow.CollectionDef.FloatList';
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/**
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* Generated by JsPbCodeGenerator.
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* @param {Array=} opt_data Optional initial data array, typically from a
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* server response, or constructed directly in Javascript. The array is used
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* in place and becomes part of the constructed object. It is not cloned.
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* If no data is provided, the constructed object will be empty, but still
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* valid.
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* @extends {jspb.Message}
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* @constructor
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*/
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jspb.Message.initialize(this, opt_data, 0, -1, proto.tensorflow.CollectionDef.AnyList.repeatedFields_, null);
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goog.inherits(proto.tensorflow.CollectionDef.AnyList, jspb.Message);
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/**
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proto.tensorflow.CollectionDef.AnyList.displayName = 'proto.tensorflow.CollectionDef.AnyList';
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/**
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* Generated by JsPbCodeGenerator.
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* @param {Array=} opt_data Optional initial data array, typically from a
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* server response, or constructed directly in Javascript. The array is used
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* in place and becomes part of the constructed object. It is not cloned.
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* If no data is provided, the constructed object will be empty, but still
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* valid.
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* @extends {jspb.Message}
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* @constructor
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*/
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proto.tensorflow.SaverDef = function(opt_data) {
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jspb.Message.initialize(this, opt_data, 0, -1, null, null);
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/**
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* @public
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proto.tensorflow.SaverDef.displayName = 'proto.tensorflow.SaverDef';
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/**
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* Generated by JsPbCodeGenerator.
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* @param {Array=} opt_data Optional initial data array, typically from a
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* server response, or constructed directly in Javascript. The array is used
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* in place and becomes part of the constructed object. It is not cloned.
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* If no data is provided, the constructed object will be empty, but still
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* @extends {jspb.Message}
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* @constructor
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*/
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proto.tensorflow.TensorInfo = function(opt_data) {
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jspb.Message.initialize(this, opt_data, 0, -1, null, proto.tensorflow.TensorInfo.oneofGroups_);
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goog.inherits(proto.tensorflow.TensorInfo, jspb.Message);
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/**
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* @public
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proto.tensorflow.TensorInfo.displayName = 'proto.tensorflow.TensorInfo';
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/**
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* Generated by JsPbCodeGenerator.
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* @param {Array=} opt_data Optional initial data array, typically from a
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* server response, or constructed directly in Javascript. The array is used
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* in place and becomes part of the constructed object. It is not cloned.
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* If no data is provided, the constructed object will be empty, but still
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* @extends {jspb.Message}
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* @constructor
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proto.tensorflow.TensorInfo.CooSparse = function(opt_data) {
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jspb.Message.initialize(this, opt_data, 0, -1, null, null);
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goog.inherits(proto.tensorflow.TensorInfo.CooSparse, jspb.Message);
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/**
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proto.tensorflow.TensorInfo.CooSparse.displayName = 'proto.tensorflow.TensorInfo.CooSparse';
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/**
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* Generated by JsPbCodeGenerator.
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* @param {Array=} opt_data Optional initial data array, typically from a
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* server response, or constructed directly in Javascript. The array is used
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* in place and becomes part of the constructed object. It is not cloned.
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* If no data is provided, the constructed object will be empty, but still
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* @extends {jspb.Message}
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* @constructor
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proto.tensorflow.SignatureDef = function(opt_data) {
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jspb.Message.initialize(this, opt_data, 0, -1, null, null);
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goog.inherits(proto.tensorflow.SignatureDef, jspb.Message);
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/**
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proto.tensorflow.SignatureDef.displayName = 'proto.tensorflow.SignatureDef';
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/**
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* Generated by JsPbCodeGenerator.
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* @param {Array=} opt_data Optional initial data array, typically from a
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* server response, or constructed directly in Javascript. The array is used
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* in place and becomes part of the constructed object. It is not cloned.
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* If no data is provided, the constructed object will be empty, but still
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* @extends {jspb.Message}
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proto.tensorflow.AssetFileDef = function(opt_data) {
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goog.inherits(proto.tensorflow.AssetFileDef, jspb.Message);
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proto.tensorflow.AssetFileDef.displayName = 'proto.tensorflow.AssetFileDef';
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/**
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* Generated by JsPbCodeGenerator.
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* @param {Array=} opt_data Optional initial data array, typically from a
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* server response, or constructed directly in Javascript. The array is used
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* in place and becomes part of the constructed object. It is not cloned.
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* If no data is provided, the constructed object will be empty, but still
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* @extends {jspb.Message}
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* @constructor
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proto.tensorflow.OpDef = function(opt_data) {
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jspb.Message.initialize(this, opt_data, 0, -1, proto.tensorflow.OpDef.repeatedFields_, null);
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goog.inherits(proto.tensorflow.OpDef, jspb.Message);
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proto.tensorflow.OpDef.displayName = 'proto.tensorflow.OpDef';
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/**
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* @param {Array=} opt_data Optional initial data array, typically from a
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* server response, or constructed directly in Javascript. The array is used
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* If no data is provided, the constructed object will be empty, but still
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* @extends {jspb.Message}
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* @constructor
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*/
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* in place and becomes part of the constructed object. It is not cloned.
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* If no data is provided, the constructed object will be empty, but still
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* @extends {jspb.Message}
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* @constructor
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* Generated by JsPbCodeGenerator.
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* @param {Array=} opt_data Optional initial data array, typically from a
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* server response, or constructed directly in Javascript. The array is used
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* in place and becomes part of the constructed object. It is not cloned.
|
* If no data is provided, the constructed object will be empty, but still
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* @extends {jspb.Message}
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* @constructor
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/**
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* Generated by JsPbCodeGenerator.
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* @param {Array=} opt_data Optional initial data array, typically from a
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* server response, or constructed directly in Javascript. The array is used
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* in place and becomes part of the constructed object. It is not cloned.
|
* If no data is provided, the constructed object will be empty, but still
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* @extends {jspb.Message}
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* @constructor
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*/
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/**
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* Generated by JsPbCodeGenerator.
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* @param {Array=} opt_data Optional initial data array, typically from a
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* server response, or constructed directly in Javascript. The array is used
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* in place and becomes part of the constructed object. It is not cloned.
|
* If no data is provided, the constructed object will be empty, but still
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* valid.
|
* @extends {jspb.Message}
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* @constructor
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*/
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/**
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* Generated by JsPbCodeGenerator.
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* @param {Array=} opt_data Optional initial data array, typically from a
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* server response, or constructed directly in Javascript. The array is used
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* in place and becomes part of the constructed object. It is not cloned.
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* If no data is provided, the constructed object will be empty, but still
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* valid.
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* @extends {jspb.Message}
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* @constructor
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*/
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* @public
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*/
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/**
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* Generated by JsPbCodeGenerator.
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* @param {Array=} opt_data Optional initial data array, typically from a
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* server response, or constructed directly in Javascript. The array is used
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* in place and becomes part of the constructed object. It is not cloned.
|
* If no data is provided, the constructed object will be empty, but still
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* valid.
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* @extends {jspb.Message}
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* @constructor
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*/
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proto.tensorflow.SavedModel = function(opt_data) {
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* @public
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* @override
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*/
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}
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/**
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* Generated by JsPbCodeGenerator.
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* @param {Array=} opt_data Optional initial data array, typically from a
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* server response, or constructed directly in Javascript. The array is used
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* in place and becomes part of the constructed object. It is not cloned.
|
* If no data is provided, the constructed object will be empty, but still
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* valid.
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* @extends {jspb.Message}
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* @constructor
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*/
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proto.tensorflow.FunctionDefLibrary = function(opt_data) {
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goog.inherits(proto.tensorflow.FunctionDefLibrary, jspb.Message);
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* @public
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* @override
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*/
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}
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/**
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* Generated by JsPbCodeGenerator.
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* @param {Array=} opt_data Optional initial data array, typically from a
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* server response, or constructed directly in Javascript. The array is used
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* in place and becomes part of the constructed object. It is not cloned.
|
* If no data is provided, the constructed object will be empty, but still
|
* valid.
|
* @extends {jspb.Message}
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* @constructor
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*/
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proto.tensorflow.FunctionDef = function(opt_data) {
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jspb.Message.initialize(this, opt_data, 0, -1, proto.tensorflow.FunctionDef.repeatedFields_, null);
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goog.inherits(proto.tensorflow.FunctionDef, jspb.Message);
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* @public
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* @override
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*/
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proto.tensorflow.FunctionDef.displayName = 'proto.tensorflow.FunctionDef';
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}
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/**
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* Generated by JsPbCodeGenerator.
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* @param {Array=} opt_data Optional initial data array, typically from a
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* server response, or constructed directly in Javascript. The array is used
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* in place and becomes part of the constructed object. It is not cloned.
|
* If no data is provided, the constructed object will be empty, but still
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* valid.
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* @extends {jspb.Message}
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* @constructor
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*/
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proto.tensorflow.GradientDef = function(opt_data) {
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jspb.Message.initialize(this, opt_data, 0, -1, null, null);
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goog.inherits(proto.tensorflow.GradientDef, jspb.Message);
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/**
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* @public
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* @override
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*/
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proto.tensorflow.GradientDef.displayName = 'proto.tensorflow.GradientDef';
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}
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/**
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* Generated by JsPbCodeGenerator.
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* @param {Array=} opt_data Optional initial data array, typically from a
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* server response, or constructed directly in Javascript. The array is used
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* in place and becomes part of the constructed object. It is not cloned.
|
* If no data is provided, the constructed object will be empty, but still
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* valid.
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* @extends {jspb.Message}
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* @constructor
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*/
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proto.tensorflow.SummaryDescription = function(opt_data) {
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jspb.Message.initialize(this, opt_data, 0, -1, null, null);
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goog.inherits(proto.tensorflow.SummaryDescription, jspb.Message);
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* @public
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*/
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proto.tensorflow.SummaryDescription.displayName = 'proto.tensorflow.SummaryDescription';
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/**
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* Generated by JsPbCodeGenerator.
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* @param {Array=} opt_data Optional initial data array, typically from a
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* server response, or constructed directly in Javascript. The array is used
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* in place and becomes part of the constructed object. It is not cloned.
|
* If no data is provided, the constructed object will be empty, but still
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* valid.
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* @extends {jspb.Message}
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* @constructor
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*/
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proto.tensorflow.HistogramProto = function(opt_data) {
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jspb.Message.initialize(this, opt_data, 0, -1, proto.tensorflow.HistogramProto.repeatedFields_, null);
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goog.inherits(proto.tensorflow.HistogramProto, jspb.Message);
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/**
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* @public
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* @override
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*/
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proto.tensorflow.HistogramProto.displayName = 'proto.tensorflow.HistogramProto';
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}
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/**
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* Generated by JsPbCodeGenerator.
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* @param {Array=} opt_data Optional initial data array, typically from a
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* server response, or constructed directly in Javascript. The array is used
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* in place and becomes part of the constructed object. It is not cloned.
|
* If no data is provided, the constructed object will be empty, but still
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* valid.
|
* @extends {jspb.Message}
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* @constructor
|
*/
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proto.tensorflow.SummaryMetadata = function(opt_data) {
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jspb.Message.initialize(this, opt_data, 0, -1, null, null);
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goog.inherits(proto.tensorflow.SummaryMetadata, jspb.Message);
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* @public
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* @override
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*/
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proto.tensorflow.SummaryMetadata.displayName = 'proto.tensorflow.SummaryMetadata';
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/**
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* Generated by JsPbCodeGenerator.
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* @param {Array=} opt_data Optional initial data array, typically from a
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* server response, or constructed directly in Javascript. The array is used
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* in place and becomes part of the constructed object. It is not cloned.
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* If no data is provided, the constructed object will be empty, but still
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* valid.
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* @extends {jspb.Message}
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* @constructor
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*/
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*/
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/**
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* Generated by JsPbCodeGenerator.
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* @param {Array=} opt_data Optional initial data array, typically from a
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* server response, or constructed directly in Javascript. The array is used
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* in place and becomes part of the constructed object. It is not cloned.
|
* If no data is provided, the constructed object will be empty, but still
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* valid.
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* @extends {jspb.Message}
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* @constructor
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*/
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proto.tensorflow.Summary = function(opt_data) {
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* @public
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* @override
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*/
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proto.tensorflow.Summary.displayName = 'proto.tensorflow.Summary';
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/**
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* Generated by JsPbCodeGenerator.
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* @param {Array=} opt_data Optional initial data array, typically from a
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* server response, or constructed directly in Javascript. The array is used
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* in place and becomes part of the constructed object. It is not cloned.
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* If no data is provided, the constructed object will be empty, but still
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* valid.
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* @extends {jspb.Message}
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* @constructor
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*/
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proto.tensorflow.Summary.Image = function(opt_data) {
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jspb.Message.initialize(this, opt_data, 0, -1, null, null);
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* @public
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* @override
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*/
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proto.tensorflow.Summary.Image.displayName = 'proto.tensorflow.Summary.Image';
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/**
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* Generated by JsPbCodeGenerator.
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* @param {Array=} opt_data Optional initial data array, typically from a
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* server response, or constructed directly in Javascript. The array is used
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* in place and becomes part of the constructed object. It is not cloned.
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* If no data is provided, the constructed object will be empty, but still
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* valid.
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* @extends {jspb.Message}
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* @constructor
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*/
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proto.tensorflow.Summary.Audio = function(opt_data) {
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jspb.Message.initialize(this, opt_data, 0, -1, null, null);
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/**
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* @public
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* @override
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*/
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proto.tensorflow.Summary.Audio.displayName = 'proto.tensorflow.Summary.Audio';
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/**
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* Generated by JsPbCodeGenerator.
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* @param {Array=} opt_data Optional initial data array, typically from a
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* server response, or constructed directly in Javascript. The array is used
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* in place and becomes part of the constructed object. It is not cloned.
|
* If no data is provided, the constructed object will be empty, but still
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* valid.
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* @extends {jspb.Message}
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* @constructor
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*/
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proto.tensorflow.Summary.Value = function(opt_data) {
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goog.inherits(proto.tensorflow.Summary.Value, jspb.Message);
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* @public
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* @override
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*/
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proto.tensorflow.Summary.Value.displayName = 'proto.tensorflow.Summary.Value';
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/**
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* Generated by JsPbCodeGenerator.
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* @param {Array=} opt_data Optional initial data array, typically from a
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* server response, or constructed directly in Javascript. The array is used
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* in place and becomes part of the constructed object. It is not cloned.
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* If no data is provided, the constructed object will be empty, but still
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* valid.
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* @extends {jspb.Message}
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* @constructor
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*/
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proto.tensorflow.HistogramPluginData = function(opt_data) {
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/**
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* @public
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* @override
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*/
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proto.tensorflow.HistogramPluginData.displayName = 'proto.tensorflow.HistogramPluginData';
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}
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/**
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* Creates an object representation of this proto.
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* Field names that are reserved in JavaScript and will be renamed to pb_name.
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* Optional fields that are not set will be set to undefined.
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* To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
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* For the list of reserved names please see:
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* net/proto2/compiler/js/internal/generator.cc#kKeyword.
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* @param {boolean=} opt_includeInstance Deprecated. whether to include the
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* JSPB instance for transitional soy proto support:
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* http://goto/soy-param-migration
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* @return {!Object}
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*/
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return proto.tensorflow.Any.toObject(opt_includeInstance, this);
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};
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/**
|
* Static version of the {@see toObject} method.
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* @param {boolean|undefined} includeInstance Deprecated. Whether to include
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* http://goto/soy-param-migration
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*/
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var reader = new jspb.BinaryReader(bytes);
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/**
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* Deserializes binary data (in protobuf wire format) from the
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var value = /** @type {!Uint8Array} */ (reader.readBytes());
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* Serializes the message to binary data (in protobuf wire format).
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* @return {!Uint8Array}
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*/
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/**
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* Serializes the given message to binary data (in protobuf wire
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*/
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proto.tensorflow.Any.serializeBinaryToWriter = function(message, writer) {
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/**
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*/
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proto.tensorflow.Any.prototype.getTypeUrl = function() {
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/**
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* @param {string} value
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* @return {!proto.tensorflow.Any} returns this
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*/
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proto.tensorflow.Any.prototype.setTypeUrl = function(value) {
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/**
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* optional bytes value = 2;
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proto.tensorflow.Any.prototype.getValue = function() {
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/**
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* optional bytes value = 2;
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* Note that Uint8Array is not supported on all browsers.
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* @see http://caniuse.com/Uint8Array
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* This is a type-conversion wrapper around `getValue()`
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* @param {!(string|Uint8Array)} value
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*/
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/**
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* List of repeated fields within this message type.
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* @private {!Array<number>}
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* @const
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*/
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proto.tensorflow.TensorShape.repeatedFields_ = [2];
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* Creates an object representation of this proto.
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* Field names that are reserved in JavaScript and will be renamed to pb_name.
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* Optional fields that are not set will be set to undefined.
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* To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
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* For the list of reserved names please see:
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* net/proto2/compiler/js/internal/generator.cc#kKeyword.
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* @param {boolean=} opt_includeInstance Deprecated. whether to include the
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* JSPB instance for transitional soy proto support:
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* http://goto/soy-param-migration
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* @return {!Object}
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*/
|
proto.tensorflow.TensorShape.prototype.toObject = function(opt_includeInstance) {
|
return proto.tensorflow.TensorShape.toObject(opt_includeInstance, this);
|
};
|
|
|
/**
|
* Static version of the {@see toObject} method.
|
* @param {boolean|undefined} includeInstance Deprecated. Whether to include
|
* the JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @param {!proto.tensorflow.TensorShape} msg The msg instance to transform.
|
* @return {!Object}
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.TensorShape.toObject = function(includeInstance, msg) {
|
var f, obj = {
|
dimList: jspb.Message.toObjectList(msg.getDimList(),
|
proto.tensorflow.TensorShape.Dim.toObject, includeInstance),
|
unknownRank: jspb.Message.getBooleanFieldWithDefault(msg, 3, false)
|
};
|
|
if (includeInstance) {
|
obj.$jspbMessageInstance = msg;
|
}
|
return obj;
|
};
|
}
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format).
|
* @param {jspb.ByteSource} bytes The bytes to deserialize.
|
* @return {!proto.tensorflow.TensorShape}
|
*/
|
proto.tensorflow.TensorShape.deserializeBinary = function(bytes) {
|
var reader = new jspb.BinaryReader(bytes);
|
var msg = new proto.tensorflow.TensorShape;
|
return proto.tensorflow.TensorShape.deserializeBinaryFromReader(msg, reader);
|
};
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format) from the
|
* given reader into the given message object.
|
* @param {!proto.tensorflow.TensorShape} msg The message object to deserialize into.
|
* @param {!jspb.BinaryReader} reader The BinaryReader to use.
|
* @return {!proto.tensorflow.TensorShape}
|
*/
|
proto.tensorflow.TensorShape.deserializeBinaryFromReader = function(msg, reader) {
|
while (reader.nextField()) {
|
if (reader.isEndGroup()) {
|
break;
|
}
|
var field = reader.getFieldNumber();
|
switch (field) {
|
case 2:
|
var value = new proto.tensorflow.TensorShape.Dim;
|
reader.readMessage(value,proto.tensorflow.TensorShape.Dim.deserializeBinaryFromReader);
|
msg.addDim(value);
|
break;
|
case 3:
|
var value = /** @type {boolean} */ (reader.readBool());
|
msg.setUnknownRank(value);
|
break;
|
default:
|
reader.skipField();
|
break;
|
}
|
}
|
return msg;
|
};
|
|
|
/**
|
* Serializes the message to binary data (in protobuf wire format).
|
* @return {!Uint8Array}
|
*/
|
proto.tensorflow.TensorShape.prototype.serializeBinary = function() {
|
var writer = new jspb.BinaryWriter();
|
proto.tensorflow.TensorShape.serializeBinaryToWriter(this, writer);
|
return writer.getResultBuffer();
|
};
|
|
|
/**
|
* Serializes the given message to binary data (in protobuf wire
|
* format), writing to the given BinaryWriter.
|
* @param {!proto.tensorflow.TensorShape} message
|
* @param {!jspb.BinaryWriter} writer
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.TensorShape.serializeBinaryToWriter = function(message, writer) {
|
var f = undefined;
|
f = message.getDimList();
|
if (f.length > 0) {
|
writer.writeRepeatedMessage(
|
2,
|
f,
|
proto.tensorflow.TensorShape.Dim.serializeBinaryToWriter
|
);
|
}
|
f = message.getUnknownRank();
|
if (f) {
|
writer.writeBool(
|
3,
|
f
|
);
|
}
|
};
|
|
|
|
|
|
if (jspb.Message.GENERATE_TO_OBJECT) {
|
/**
|
* Creates an object representation of this proto.
|
* Field names that are reserved in JavaScript and will be renamed to pb_name.
|
* Optional fields that are not set will be set to undefined.
|
* To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
|
* For the list of reserved names please see:
|
* net/proto2/compiler/js/internal/generator.cc#kKeyword.
|
* @param {boolean=} opt_includeInstance Deprecated. whether to include the
|
* JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @return {!Object}
|
*/
|
proto.tensorflow.TensorShape.Dim.prototype.toObject = function(opt_includeInstance) {
|
return proto.tensorflow.TensorShape.Dim.toObject(opt_includeInstance, this);
|
};
|
|
|
/**
|
* Static version of the {@see toObject} method.
|
* @param {boolean|undefined} includeInstance Deprecated. Whether to include
|
* the JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @param {!proto.tensorflow.TensorShape.Dim} msg The msg instance to transform.
|
* @return {!Object}
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.TensorShape.Dim.toObject = function(includeInstance, msg) {
|
var f, obj = {
|
size: jspb.Message.getFieldWithDefault(msg, 1, 0),
|
name: jspb.Message.getFieldWithDefault(msg, 2, "")
|
};
|
|
if (includeInstance) {
|
obj.$jspbMessageInstance = msg;
|
}
|
return obj;
|
};
|
}
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format).
|
* @param {jspb.ByteSource} bytes The bytes to deserialize.
|
* @return {!proto.tensorflow.TensorShape.Dim}
|
*/
|
proto.tensorflow.TensorShape.Dim.deserializeBinary = function(bytes) {
|
var reader = new jspb.BinaryReader(bytes);
|
var msg = new proto.tensorflow.TensorShape.Dim;
|
return proto.tensorflow.TensorShape.Dim.deserializeBinaryFromReader(msg, reader);
|
};
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format) from the
|
* given reader into the given message object.
|
* @param {!proto.tensorflow.TensorShape.Dim} msg The message object to deserialize into.
|
* @param {!jspb.BinaryReader} reader The BinaryReader to use.
|
* @return {!proto.tensorflow.TensorShape.Dim}
|
*/
|
proto.tensorflow.TensorShape.Dim.deserializeBinaryFromReader = function(msg, reader) {
|
while (reader.nextField()) {
|
if (reader.isEndGroup()) {
|
break;
|
}
|
var field = reader.getFieldNumber();
|
switch (field) {
|
case 1:
|
var value = /** @type {number} */ (reader.readInt64());
|
msg.setSize(value);
|
break;
|
case 2:
|
var value = /** @type {string} */ (reader.readString());
|
msg.setName(value);
|
break;
|
default:
|
reader.skipField();
|
break;
|
}
|
}
|
return msg;
|
};
|
|
|
/**
|
* Serializes the message to binary data (in protobuf wire format).
|
* @return {!Uint8Array}
|
*/
|
proto.tensorflow.TensorShape.Dim.prototype.serializeBinary = function() {
|
var writer = new jspb.BinaryWriter();
|
proto.tensorflow.TensorShape.Dim.serializeBinaryToWriter(this, writer);
|
return writer.getResultBuffer();
|
};
|
|
|
/**
|
* Serializes the given message to binary data (in protobuf wire
|
* format), writing to the given BinaryWriter.
|
* @param {!proto.tensorflow.TensorShape.Dim} message
|
* @param {!jspb.BinaryWriter} writer
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.TensorShape.Dim.serializeBinaryToWriter = function(message, writer) {
|
var f = undefined;
|
f = message.getSize();
|
if (f !== 0) {
|
writer.writeInt64(
|
1,
|
f
|
);
|
}
|
f = message.getName();
|
if (f.length > 0) {
|
writer.writeString(
|
2,
|
f
|
);
|
}
|
};
|
|
|
/**
|
* optional int64 size = 1;
|
* @return {number}
|
*/
|
proto.tensorflow.TensorShape.Dim.prototype.getSize = function() {
|
return /** @type {number} */ (jspb.Message.getFieldWithDefault(this, 1, 0));
|
};
|
|
|
/**
|
* @param {number} value
|
* @return {!proto.tensorflow.TensorShape.Dim} returns this
|
*/
|
proto.tensorflow.TensorShape.Dim.prototype.setSize = function(value) {
|
return jspb.Message.setProto3IntField(this, 1, value);
|
};
|
|
|
/**
|
* optional string name = 2;
|
* @return {string}
|
*/
|
proto.tensorflow.TensorShape.Dim.prototype.getName = function() {
|
return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 2, ""));
|
};
|
|
|
/**
|
* @param {string} value
|
* @return {!proto.tensorflow.TensorShape.Dim} returns this
|
*/
|
proto.tensorflow.TensorShape.Dim.prototype.setName = function(value) {
|
return jspb.Message.setProto3StringField(this, 2, value);
|
};
|
|
|
/**
|
* repeated Dim dim = 2;
|
* @return {!Array<!proto.tensorflow.TensorShape.Dim>}
|
*/
|
proto.tensorflow.TensorShape.prototype.getDimList = function() {
|
return /** @type{!Array<!proto.tensorflow.TensorShape.Dim>} */ (
|
jspb.Message.getRepeatedWrapperField(this, proto.tensorflow.TensorShape.Dim, 2));
|
};
|
|
|
/**
|
* @param {!Array<!proto.tensorflow.TensorShape.Dim>} value
|
* @return {!proto.tensorflow.TensorShape} returns this
|
*/
|
proto.tensorflow.TensorShape.prototype.setDimList = function(value) {
|
return jspb.Message.setRepeatedWrapperField(this, 2, value);
|
};
|
|
|
/**
|
* @param {!proto.tensorflow.TensorShape.Dim=} opt_value
|
* @param {number=} opt_index
|
* @return {!proto.tensorflow.TensorShape.Dim}
|
*/
|
proto.tensorflow.TensorShape.prototype.addDim = function(opt_value, opt_index) {
|
return jspb.Message.addToRepeatedWrapperField(this, 2, opt_value, proto.tensorflow.TensorShape.Dim, opt_index);
|
};
|
|
|
/**
|
* Clears the list making it empty but non-null.
|
* @return {!proto.tensorflow.TensorShape} returns this
|
*/
|
proto.tensorflow.TensorShape.prototype.clearDimList = function() {
|
return this.setDimList([]);
|
};
|
|
|
/**
|
* optional bool unknown_rank = 3;
|
* @return {boolean}
|
*/
|
proto.tensorflow.TensorShape.prototype.getUnknownRank = function() {
|
return /** @type {boolean} */ (jspb.Message.getBooleanFieldWithDefault(this, 3, false));
|
};
|
|
|
/**
|
* @param {boolean} value
|
* @return {!proto.tensorflow.TensorShape} returns this
|
*/
|
proto.tensorflow.TensorShape.prototype.setUnknownRank = function(value) {
|
return jspb.Message.setProto3BooleanField(this, 3, value);
|
};
|
|
|
|
/**
|
* List of repeated fields within this message type.
|
* @private {!Array<number>}
|
* @const
|
*/
|
proto.tensorflow.Tensor.repeatedFields_ = [5,6,7,8,9,10,11,16,17];
|
|
|
|
if (jspb.Message.GENERATE_TO_OBJECT) {
|
/**
|
* Creates an object representation of this proto.
|
* Field names that are reserved in JavaScript and will be renamed to pb_name.
|
* Optional fields that are not set will be set to undefined.
|
* To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
|
* For the list of reserved names please see:
|
* net/proto2/compiler/js/internal/generator.cc#kKeyword.
|
* @param {boolean=} opt_includeInstance Deprecated. whether to include the
|
* JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @return {!Object}
|
*/
|
proto.tensorflow.Tensor.prototype.toObject = function(opt_includeInstance) {
|
return proto.tensorflow.Tensor.toObject(opt_includeInstance, this);
|
};
|
|
|
/**
|
* Static version of the {@see toObject} method.
|
* @param {boolean|undefined} includeInstance Deprecated. Whether to include
|
* the JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @param {!proto.tensorflow.Tensor} msg The msg instance to transform.
|
* @return {!Object}
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.Tensor.toObject = function(includeInstance, msg) {
|
var f, obj = {
|
dtype: jspb.Message.getFieldWithDefault(msg, 1, 0),
|
tensorShape: (f = msg.getTensorShape()) && proto.tensorflow.TensorShape.toObject(includeInstance, f),
|
versionNumber: jspb.Message.getFieldWithDefault(msg, 3, 0),
|
tensorContent: msg.getTensorContent_asB64(),
|
floatValList: (f = jspb.Message.getRepeatedFloatingPointField(msg, 5)) == null ? undefined : f,
|
doubleValList: (f = jspb.Message.getRepeatedFloatingPointField(msg, 6)) == null ? undefined : f,
|
intValList: (f = jspb.Message.getRepeatedField(msg, 7)) == null ? undefined : f,
|
stringValList: msg.getStringValList_asB64(),
|
scomplexValList: (f = jspb.Message.getRepeatedFloatingPointField(msg, 9)) == null ? undefined : f,
|
int64ValList: (f = jspb.Message.getRepeatedField(msg, 10)) == null ? undefined : f,
|
boolValList: (f = jspb.Message.getRepeatedBooleanField(msg, 11)) == null ? undefined : f,
|
uint32ValList: (f = jspb.Message.getRepeatedField(msg, 16)) == null ? undefined : f,
|
uint64ValList: (f = jspb.Message.getRepeatedField(msg, 17)) == null ? undefined : f
|
};
|
|
if (includeInstance) {
|
obj.$jspbMessageInstance = msg;
|
}
|
return obj;
|
};
|
}
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format).
|
* @param {jspb.ByteSource} bytes The bytes to deserialize.
|
* @return {!proto.tensorflow.Tensor}
|
*/
|
proto.tensorflow.Tensor.deserializeBinary = function(bytes) {
|
var reader = new jspb.BinaryReader(bytes);
|
var msg = new proto.tensorflow.Tensor;
|
return proto.tensorflow.Tensor.deserializeBinaryFromReader(msg, reader);
|
};
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format) from the
|
* given reader into the given message object.
|
* @param {!proto.tensorflow.Tensor} msg The message object to deserialize into.
|
* @param {!jspb.BinaryReader} reader The BinaryReader to use.
|
* @return {!proto.tensorflow.Tensor}
|
*/
|
proto.tensorflow.Tensor.deserializeBinaryFromReader = function(msg, reader) {
|
while (reader.nextField()) {
|
if (reader.isEndGroup()) {
|
break;
|
}
|
var field = reader.getFieldNumber();
|
switch (field) {
|
case 1:
|
var value = /** @type {!proto.tensorflow.DataType} */ (reader.readEnum());
|
msg.setDtype(value);
|
break;
|
case 2:
|
var value = new proto.tensorflow.TensorShape;
|
reader.readMessage(value,proto.tensorflow.TensorShape.deserializeBinaryFromReader);
|
msg.setTensorShape(value);
|
break;
|
case 3:
|
var value = /** @type {number} */ (reader.readInt32());
|
msg.setVersionNumber(value);
|
break;
|
case 4:
|
var value = /** @type {!Uint8Array} */ (reader.readBytes());
|
msg.setTensorContent(value);
|
break;
|
case 5:
|
var values = /** @type {!Array<number>} */ (reader.isDelimited() ? reader.readPackedFloat() : [reader.readFloat()]);
|
for (var i = 0; i < values.length; i++) {
|
msg.addFloatVal(values[i]);
|
}
|
break;
|
case 6:
|
var values = /** @type {!Array<number>} */ (reader.isDelimited() ? reader.readPackedDouble() : [reader.readDouble()]);
|
for (var i = 0; i < values.length; i++) {
|
msg.addDoubleVal(values[i]);
|
}
|
break;
|
case 7:
|
var values = /** @type {!Array<number>} */ (reader.isDelimited() ? reader.readPackedInt32() : [reader.readInt32()]);
|
for (var i = 0; i < values.length; i++) {
|
msg.addIntVal(values[i]);
|
}
|
break;
|
case 8:
|
var value = /** @type {!Uint8Array} */ (reader.readBytes());
|
msg.addStringVal(value);
|
break;
|
case 9:
|
var values = /** @type {!Array<number>} */ (reader.isDelimited() ? reader.readPackedFloat() : [reader.readFloat()]);
|
for (var i = 0; i < values.length; i++) {
|
msg.addScomplexVal(values[i]);
|
}
|
break;
|
case 10:
|
var values = /** @type {!Array<number>} */ (reader.isDelimited() ? reader.readPackedInt64() : [reader.readInt64()]);
|
for (var i = 0; i < values.length; i++) {
|
msg.addInt64Val(values[i]);
|
}
|
break;
|
case 11:
|
var values = /** @type {!Array<boolean>} */ (reader.isDelimited() ? reader.readPackedBool() : [reader.readBool()]);
|
for (var i = 0; i < values.length; i++) {
|
msg.addBoolVal(values[i]);
|
}
|
break;
|
case 16:
|
var values = /** @type {!Array<number>} */ (reader.isDelimited() ? reader.readPackedUint32() : [reader.readUint32()]);
|
for (var i = 0; i < values.length; i++) {
|
msg.addUint32Val(values[i]);
|
}
|
break;
|
case 17:
|
var values = /** @type {!Array<number>} */ (reader.isDelimited() ? reader.readPackedUint64() : [reader.readUint64()]);
|
for (var i = 0; i < values.length; i++) {
|
msg.addUint64Val(values[i]);
|
}
|
break;
|
default:
|
reader.skipField();
|
break;
|
}
|
}
|
return msg;
|
};
|
|
|
/**
|
* Serializes the message to binary data (in protobuf wire format).
|
* @return {!Uint8Array}
|
*/
|
proto.tensorflow.Tensor.prototype.serializeBinary = function() {
|
var writer = new jspb.BinaryWriter();
|
proto.tensorflow.Tensor.serializeBinaryToWriter(this, writer);
|
return writer.getResultBuffer();
|
};
|
|
|
/**
|
* Serializes the given message to binary data (in protobuf wire
|
* format), writing to the given BinaryWriter.
|
* @param {!proto.tensorflow.Tensor} message
|
* @param {!jspb.BinaryWriter} writer
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.Tensor.serializeBinaryToWriter = function(message, writer) {
|
var f = undefined;
|
f = message.getDtype();
|
if (f !== 0.0) {
|
writer.writeEnum(
|
1,
|
f
|
);
|
}
|
f = message.getTensorShape();
|
if (f != null) {
|
writer.writeMessage(
|
2,
|
f,
|
proto.tensorflow.TensorShape.serializeBinaryToWriter
|
);
|
}
|
f = message.getVersionNumber();
|
if (f !== 0) {
|
writer.writeInt32(
|
3,
|
f
|
);
|
}
|
f = message.getTensorContent_asU8();
|
if (f.length > 0) {
|
writer.writeBytes(
|
4,
|
f
|
);
|
}
|
f = message.getFloatValList();
|
if (f.length > 0) {
|
writer.writePackedFloat(
|
5,
|
f
|
);
|
}
|
f = message.getDoubleValList();
|
if (f.length > 0) {
|
writer.writePackedDouble(
|
6,
|
f
|
);
|
}
|
f = message.getIntValList();
|
if (f.length > 0) {
|
writer.writePackedInt32(
|
7,
|
f
|
);
|
}
|
f = message.getStringValList_asU8();
|
if (f.length > 0) {
|
writer.writeRepeatedBytes(
|
8,
|
f
|
);
|
}
|
f = message.getScomplexValList();
|
if (f.length > 0) {
|
writer.writePackedFloat(
|
9,
|
f
|
);
|
}
|
f = message.getInt64ValList();
|
if (f.length > 0) {
|
writer.writePackedInt64(
|
10,
|
f
|
);
|
}
|
f = message.getBoolValList();
|
if (f.length > 0) {
|
writer.writePackedBool(
|
11,
|
f
|
);
|
}
|
f = message.getUint32ValList();
|
if (f.length > 0) {
|
writer.writePackedUint32(
|
16,
|
f
|
);
|
}
|
f = message.getUint64ValList();
|
if (f.length > 0) {
|
writer.writePackedUint64(
|
17,
|
f
|
);
|
}
|
};
|
|
|
/**
|
* optional DataType dtype = 1;
|
* @return {!proto.tensorflow.DataType}
|
*/
|
proto.tensorflow.Tensor.prototype.getDtype = function() {
|
return /** @type {!proto.tensorflow.DataType} */ (jspb.Message.getFieldWithDefault(this, 1, 0));
|
};
|
|
|
/**
|
* @param {!proto.tensorflow.DataType} value
|
* @return {!proto.tensorflow.Tensor} returns this
|
*/
|
proto.tensorflow.Tensor.prototype.setDtype = function(value) {
|
return jspb.Message.setProto3EnumField(this, 1, value);
|
};
|
|
|
/**
|
* optional TensorShape tensor_shape = 2;
|
* @return {?proto.tensorflow.TensorShape}
|
*/
|
proto.tensorflow.Tensor.prototype.getTensorShape = function() {
|
return /** @type{?proto.tensorflow.TensorShape} */ (
|
jspb.Message.getWrapperField(this, proto.tensorflow.TensorShape, 2));
|
};
|
|
|
/**
|
* @param {?proto.tensorflow.TensorShape|undefined} value
|
* @return {!proto.tensorflow.Tensor} returns this
|
*/
|
proto.tensorflow.Tensor.prototype.setTensorShape = function(value) {
|
return jspb.Message.setWrapperField(this, 2, value);
|
};
|
|
|
/**
|
* Clears the message field making it undefined.
|
* @return {!proto.tensorflow.Tensor} returns this
|
*/
|
proto.tensorflow.Tensor.prototype.clearTensorShape = function() {
|
return this.setTensorShape(undefined);
|
};
|
|
|
/**
|
* Returns whether this field is set.
|
* @return {boolean}
|
*/
|
proto.tensorflow.Tensor.prototype.hasTensorShape = function() {
|
return jspb.Message.getField(this, 2) != null;
|
};
|
|
|
/**
|
* optional int32 version_number = 3;
|
* @return {number}
|
*/
|
proto.tensorflow.Tensor.prototype.getVersionNumber = function() {
|
return /** @type {number} */ (jspb.Message.getFieldWithDefault(this, 3, 0));
|
};
|
|
|
/**
|
* @param {number} value
|
* @return {!proto.tensorflow.Tensor} returns this
|
*/
|
proto.tensorflow.Tensor.prototype.setVersionNumber = function(value) {
|
return jspb.Message.setProto3IntField(this, 3, value);
|
};
|
|
|
/**
|
* optional bytes tensor_content = 4;
|
* @return {!(string|Uint8Array)}
|
*/
|
proto.tensorflow.Tensor.prototype.getTensorContent = function() {
|
return /** @type {!(string|Uint8Array)} */ (jspb.Message.getFieldWithDefault(this, 4, ""));
|
};
|
|
|
/**
|
* optional bytes tensor_content = 4;
|
* This is a type-conversion wrapper around `getTensorContent()`
|
* @return {string}
|
*/
|
proto.tensorflow.Tensor.prototype.getTensorContent_asB64 = function() {
|
return /** @type {string} */ (jspb.Message.bytesAsB64(
|
this.getTensorContent()));
|
};
|
|
|
/**
|
* optional bytes tensor_content = 4;
|
* Note that Uint8Array is not supported on all browsers.
|
* @see http://caniuse.com/Uint8Array
|
* This is a type-conversion wrapper around `getTensorContent()`
|
* @return {!Uint8Array}
|
*/
|
proto.tensorflow.Tensor.prototype.getTensorContent_asU8 = function() {
|
return /** @type {!Uint8Array} */ (jspb.Message.bytesAsU8(
|
this.getTensorContent()));
|
};
|
|
|
/**
|
* @param {!(string|Uint8Array)} value
|
* @return {!proto.tensorflow.Tensor} returns this
|
*/
|
proto.tensorflow.Tensor.prototype.setTensorContent = function(value) {
|
return jspb.Message.setProto3BytesField(this, 4, value);
|
};
|
|
|
/**
|
* repeated float float_val = 5;
|
* @return {!Array<number>}
|
*/
|
proto.tensorflow.Tensor.prototype.getFloatValList = function() {
|
return /** @type {!Array<number>} */ (jspb.Message.getRepeatedFloatingPointField(this, 5));
|
};
|
|
|
/**
|
* @param {!Array<number>} value
|
* @return {!proto.tensorflow.Tensor} returns this
|
*/
|
proto.tensorflow.Tensor.prototype.setFloatValList = function(value) {
|
return jspb.Message.setField(this, 5, value || []);
|
};
|
|
|
/**
|
* @param {number} value
|
* @param {number=} opt_index
|
* @return {!proto.tensorflow.Tensor} returns this
|
*/
|
proto.tensorflow.Tensor.prototype.addFloatVal = function(value, opt_index) {
|
return jspb.Message.addToRepeatedField(this, 5, value, opt_index);
|
};
|
|
|
/**
|
* Clears the list making it empty but non-null.
|
* @return {!proto.tensorflow.Tensor} returns this
|
*/
|
proto.tensorflow.Tensor.prototype.clearFloatValList = function() {
|
return this.setFloatValList([]);
|
};
|
|
|
/**
|
* repeated double double_val = 6;
|
* @return {!Array<number>}
|
*/
|
proto.tensorflow.Tensor.prototype.getDoubleValList = function() {
|
return /** @type {!Array<number>} */ (jspb.Message.getRepeatedFloatingPointField(this, 6));
|
};
|
|
|
/**
|
* @param {!Array<number>} value
|
* @return {!proto.tensorflow.Tensor} returns this
|
*/
|
proto.tensorflow.Tensor.prototype.setDoubleValList = function(value) {
|
return jspb.Message.setField(this, 6, value || []);
|
};
|
|
|
/**
|
* @param {number} value
|
* @param {number=} opt_index
|
* @return {!proto.tensorflow.Tensor} returns this
|
*/
|
proto.tensorflow.Tensor.prototype.addDoubleVal = function(value, opt_index) {
|
return jspb.Message.addToRepeatedField(this, 6, value, opt_index);
|
};
|
|
|
/**
|
* Clears the list making it empty but non-null.
|
* @return {!proto.tensorflow.Tensor} returns this
|
*/
|
proto.tensorflow.Tensor.prototype.clearDoubleValList = function() {
|
return this.setDoubleValList([]);
|
};
|
|
|
/**
|
* repeated int32 int_val = 7;
|
* @return {!Array<number>}
|
*/
|
proto.tensorflow.Tensor.prototype.getIntValList = function() {
|
return /** @type {!Array<number>} */ (jspb.Message.getRepeatedField(this, 7));
|
};
|
|
|
/**
|
* @param {!Array<number>} value
|
* @return {!proto.tensorflow.Tensor} returns this
|
*/
|
proto.tensorflow.Tensor.prototype.setIntValList = function(value) {
|
return jspb.Message.setField(this, 7, value || []);
|
};
|
|
|
/**
|
* @param {number} value
|
* @param {number=} opt_index
|
* @return {!proto.tensorflow.Tensor} returns this
|
*/
|
proto.tensorflow.Tensor.prototype.addIntVal = function(value, opt_index) {
|
return jspb.Message.addToRepeatedField(this, 7, value, opt_index);
|
};
|
|
|
/**
|
* Clears the list making it empty but non-null.
|
* @return {!proto.tensorflow.Tensor} returns this
|
*/
|
proto.tensorflow.Tensor.prototype.clearIntValList = function() {
|
return this.setIntValList([]);
|
};
|
|
|
/**
|
* repeated bytes string_val = 8;
|
* @return {!(Array<!Uint8Array>|Array<string>)}
|
*/
|
proto.tensorflow.Tensor.prototype.getStringValList = function() {
|
return /** @type {!(Array<!Uint8Array>|Array<string>)} */ (jspb.Message.getRepeatedField(this, 8));
|
};
|
|
|
/**
|
* repeated bytes string_val = 8;
|
* This is a type-conversion wrapper around `getStringValList()`
|
* @return {!Array<string>}
|
*/
|
proto.tensorflow.Tensor.prototype.getStringValList_asB64 = function() {
|
return /** @type {!Array<string>} */ (jspb.Message.bytesListAsB64(
|
this.getStringValList()));
|
};
|
|
|
/**
|
* repeated bytes string_val = 8;
|
* Note that Uint8Array is not supported on all browsers.
|
* @see http://caniuse.com/Uint8Array
|
* This is a type-conversion wrapper around `getStringValList()`
|
* @return {!Array<!Uint8Array>}
|
*/
|
proto.tensorflow.Tensor.prototype.getStringValList_asU8 = function() {
|
return /** @type {!Array<!Uint8Array>} */ (jspb.Message.bytesListAsU8(
|
this.getStringValList()));
|
};
|
|
|
/**
|
* @param {!(Array<!Uint8Array>|Array<string>)} value
|
* @return {!proto.tensorflow.Tensor} returns this
|
*/
|
proto.tensorflow.Tensor.prototype.setStringValList = function(value) {
|
return jspb.Message.setField(this, 8, value || []);
|
};
|
|
|
/**
|
* @param {!(string|Uint8Array)} value
|
* @param {number=} opt_index
|
* @return {!proto.tensorflow.Tensor} returns this
|
*/
|
proto.tensorflow.Tensor.prototype.addStringVal = function(value, opt_index) {
|
return jspb.Message.addToRepeatedField(this, 8, value, opt_index);
|
};
|
|
|
/**
|
* Clears the list making it empty but non-null.
|
* @return {!proto.tensorflow.Tensor} returns this
|
*/
|
proto.tensorflow.Tensor.prototype.clearStringValList = function() {
|
return this.setStringValList([]);
|
};
|
|
|
/**
|
* repeated float scomplex_val = 9;
|
* @return {!Array<number>}
|
*/
|
proto.tensorflow.Tensor.prototype.getScomplexValList = function() {
|
return /** @type {!Array<number>} */ (jspb.Message.getRepeatedFloatingPointField(this, 9));
|
};
|
|
|
/**
|
* @param {!Array<number>} value
|
* @return {!proto.tensorflow.Tensor} returns this
|
*/
|
proto.tensorflow.Tensor.prototype.setScomplexValList = function(value) {
|
return jspb.Message.setField(this, 9, value || []);
|
};
|
|
|
/**
|
* @param {number} value
|
* @param {number=} opt_index
|
* @return {!proto.tensorflow.Tensor} returns this
|
*/
|
proto.tensorflow.Tensor.prototype.addScomplexVal = function(value, opt_index) {
|
return jspb.Message.addToRepeatedField(this, 9, value, opt_index);
|
};
|
|
|
/**
|
* Clears the list making it empty but non-null.
|
* @return {!proto.tensorflow.Tensor} returns this
|
*/
|
proto.tensorflow.Tensor.prototype.clearScomplexValList = function() {
|
return this.setScomplexValList([]);
|
};
|
|
|
/**
|
* repeated int64 int64_val = 10;
|
* @return {!Array<number>}
|
*/
|
proto.tensorflow.Tensor.prototype.getInt64ValList = function() {
|
return /** @type {!Array<number>} */ (jspb.Message.getRepeatedField(this, 10));
|
};
|
|
|
/**
|
* @param {!Array<number>} value
|
* @return {!proto.tensorflow.Tensor} returns this
|
*/
|
proto.tensorflow.Tensor.prototype.setInt64ValList = function(value) {
|
return jspb.Message.setField(this, 10, value || []);
|
};
|
|
|
/**
|
* @param {number} value
|
* @param {number=} opt_index
|
* @return {!proto.tensorflow.Tensor} returns this
|
*/
|
proto.tensorflow.Tensor.prototype.addInt64Val = function(value, opt_index) {
|
return jspb.Message.addToRepeatedField(this, 10, value, opt_index);
|
};
|
|
|
/**
|
* Clears the list making it empty but non-null.
|
* @return {!proto.tensorflow.Tensor} returns this
|
*/
|
proto.tensorflow.Tensor.prototype.clearInt64ValList = function() {
|
return this.setInt64ValList([]);
|
};
|
|
|
/**
|
* repeated bool bool_val = 11;
|
* @return {!Array<boolean>}
|
*/
|
proto.tensorflow.Tensor.prototype.getBoolValList = function() {
|
return /** @type {!Array<boolean>} */ (jspb.Message.getRepeatedBooleanField(this, 11));
|
};
|
|
|
/**
|
* @param {!Array<boolean>} value
|
* @return {!proto.tensorflow.Tensor} returns this
|
*/
|
proto.tensorflow.Tensor.prototype.setBoolValList = function(value) {
|
return jspb.Message.setField(this, 11, value || []);
|
};
|
|
|
/**
|
* @param {boolean} value
|
* @param {number=} opt_index
|
* @return {!proto.tensorflow.Tensor} returns this
|
*/
|
proto.tensorflow.Tensor.prototype.addBoolVal = function(value, opt_index) {
|
return jspb.Message.addToRepeatedField(this, 11, value, opt_index);
|
};
|
|
|
/**
|
* Clears the list making it empty but non-null.
|
* @return {!proto.tensorflow.Tensor} returns this
|
*/
|
proto.tensorflow.Tensor.prototype.clearBoolValList = function() {
|
return this.setBoolValList([]);
|
};
|
|
|
/**
|
* repeated uint32 uint32_val = 16;
|
* @return {!Array<number>}
|
*/
|
proto.tensorflow.Tensor.prototype.getUint32ValList = function() {
|
return /** @type {!Array<number>} */ (jspb.Message.getRepeatedField(this, 16));
|
};
|
|
|
/**
|
* @param {!Array<number>} value
|
* @return {!proto.tensorflow.Tensor} returns this
|
*/
|
proto.tensorflow.Tensor.prototype.setUint32ValList = function(value) {
|
return jspb.Message.setField(this, 16, value || []);
|
};
|
|
|
/**
|
* @param {number} value
|
* @param {number=} opt_index
|
* @return {!proto.tensorflow.Tensor} returns this
|
*/
|
proto.tensorflow.Tensor.prototype.addUint32Val = function(value, opt_index) {
|
return jspb.Message.addToRepeatedField(this, 16, value, opt_index);
|
};
|
|
|
/**
|
* Clears the list making it empty but non-null.
|
* @return {!proto.tensorflow.Tensor} returns this
|
*/
|
proto.tensorflow.Tensor.prototype.clearUint32ValList = function() {
|
return this.setUint32ValList([]);
|
};
|
|
|
/**
|
* repeated uint64 uint64_val = 17;
|
* @return {!Array<number>}
|
*/
|
proto.tensorflow.Tensor.prototype.getUint64ValList = function() {
|
return /** @type {!Array<number>} */ (jspb.Message.getRepeatedField(this, 17));
|
};
|
|
|
/**
|
* @param {!Array<number>} value
|
* @return {!proto.tensorflow.Tensor} returns this
|
*/
|
proto.tensorflow.Tensor.prototype.setUint64ValList = function(value) {
|
return jspb.Message.setField(this, 17, value || []);
|
};
|
|
|
/**
|
* @param {number} value
|
* @param {number=} opt_index
|
* @return {!proto.tensorflow.Tensor} returns this
|
*/
|
proto.tensorflow.Tensor.prototype.addUint64Val = function(value, opt_index) {
|
return jspb.Message.addToRepeatedField(this, 17, value, opt_index);
|
};
|
|
|
/**
|
* Clears the list making it empty but non-null.
|
* @return {!proto.tensorflow.Tensor} returns this
|
*/
|
proto.tensorflow.Tensor.prototype.clearUint64ValList = function() {
|
return this.setUint64ValList([]);
|
};
|
|
|
|
/**
|
* Oneof group definitions for this message. Each group defines the field
|
* numbers belonging to that group. When of these fields' value is set, all
|
* other fields in the group are cleared. During deserialization, if multiple
|
* fields are encountered for a group, only the last value seen will be kept.
|
* @private {!Array<!Array<number>>}
|
* @const
|
*/
|
proto.tensorflow.AttrValue.oneofGroups_ = [[1,2,3,4,5,6,7,8,9,10]];
|
|
/**
|
* @enum {number}
|
*/
|
proto.tensorflow.AttrValue.ValueCase = {
|
VALUE_NOT_SET: 0,
|
LIST: 1,
|
S: 2,
|
I: 3,
|
F: 4,
|
B: 5,
|
TYPE: 6,
|
SHAPE: 7,
|
TENSOR: 8,
|
PLACEHOLDER: 9,
|
FUNC: 10
|
};
|
|
/**
|
* @return {proto.tensorflow.AttrValue.ValueCase}
|
*/
|
proto.tensorflow.AttrValue.prototype.getValueCase = function() {
|
return /** @type {proto.tensorflow.AttrValue.ValueCase} */(jspb.Message.computeOneofCase(this, proto.tensorflow.AttrValue.oneofGroups_[0]));
|
};
|
|
|
|
if (jspb.Message.GENERATE_TO_OBJECT) {
|
/**
|
* Creates an object representation of this proto.
|
* Field names that are reserved in JavaScript and will be renamed to pb_name.
|
* Optional fields that are not set will be set to undefined.
|
* To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
|
* For the list of reserved names please see:
|
* net/proto2/compiler/js/internal/generator.cc#kKeyword.
|
* @param {boolean=} opt_includeInstance Deprecated. whether to include the
|
* JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @return {!Object}
|
*/
|
proto.tensorflow.AttrValue.prototype.toObject = function(opt_includeInstance) {
|
return proto.tensorflow.AttrValue.toObject(opt_includeInstance, this);
|
};
|
|
|
/**
|
* Static version of the {@see toObject} method.
|
* @param {boolean|undefined} includeInstance Deprecated. Whether to include
|
* the JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @param {!proto.tensorflow.AttrValue} msg The msg instance to transform.
|
* @return {!Object}
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.AttrValue.toObject = function(includeInstance, msg) {
|
var f, obj = {
|
list: (f = msg.getList()) && proto.tensorflow.AttrValue.ListValue.toObject(includeInstance, f),
|
s: msg.getS_asB64(),
|
i: jspb.Message.getFieldWithDefault(msg, 3, 0),
|
f: jspb.Message.getFloatingPointFieldWithDefault(msg, 4, 0.0),
|
b: jspb.Message.getBooleanFieldWithDefault(msg, 5, false),
|
type: jspb.Message.getFieldWithDefault(msg, 6, 0),
|
shape: (f = msg.getShape()) && proto.tensorflow.TensorShape.toObject(includeInstance, f),
|
tensor: (f = msg.getTensor()) && proto.tensorflow.Tensor.toObject(includeInstance, f),
|
placeholder: jspb.Message.getFieldWithDefault(msg, 9, ""),
|
func: (f = msg.getFunc()) && proto.tensorflow.NameAttrList.toObject(includeInstance, f)
|
};
|
|
if (includeInstance) {
|
obj.$jspbMessageInstance = msg;
|
}
|
return obj;
|
};
|
}
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format).
|
* @param {jspb.ByteSource} bytes The bytes to deserialize.
|
* @return {!proto.tensorflow.AttrValue}
|
*/
|
proto.tensorflow.AttrValue.deserializeBinary = function(bytes) {
|
var reader = new jspb.BinaryReader(bytes);
|
var msg = new proto.tensorflow.AttrValue;
|
return proto.tensorflow.AttrValue.deserializeBinaryFromReader(msg, reader);
|
};
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format) from the
|
* given reader into the given message object.
|
* @param {!proto.tensorflow.AttrValue} msg The message object to deserialize into.
|
* @param {!jspb.BinaryReader} reader The BinaryReader to use.
|
* @return {!proto.tensorflow.AttrValue}
|
*/
|
proto.tensorflow.AttrValue.deserializeBinaryFromReader = function(msg, reader) {
|
while (reader.nextField()) {
|
if (reader.isEndGroup()) {
|
break;
|
}
|
var field = reader.getFieldNumber();
|
switch (field) {
|
case 1:
|
var value = new proto.tensorflow.AttrValue.ListValue;
|
reader.readMessage(value,proto.tensorflow.AttrValue.ListValue.deserializeBinaryFromReader);
|
msg.setList(value);
|
break;
|
case 2:
|
var value = /** @type {!Uint8Array} */ (reader.readBytes());
|
msg.setS(value);
|
break;
|
case 3:
|
var value = /** @type {number} */ (reader.readInt64());
|
msg.setI(value);
|
break;
|
case 4:
|
var value = /** @type {number} */ (reader.readFloat());
|
msg.setF(value);
|
break;
|
case 5:
|
var value = /** @type {boolean} */ (reader.readBool());
|
msg.setB(value);
|
break;
|
case 6:
|
var value = /** @type {!proto.tensorflow.DataType} */ (reader.readEnum());
|
msg.setType(value);
|
break;
|
case 7:
|
var value = new proto.tensorflow.TensorShape;
|
reader.readMessage(value,proto.tensorflow.TensorShape.deserializeBinaryFromReader);
|
msg.setShape(value);
|
break;
|
case 8:
|
var value = new proto.tensorflow.Tensor;
|
reader.readMessage(value,proto.tensorflow.Tensor.deserializeBinaryFromReader);
|
msg.setTensor(value);
|
break;
|
case 9:
|
var value = /** @type {string} */ (reader.readString());
|
msg.setPlaceholder(value);
|
break;
|
case 10:
|
var value = new proto.tensorflow.NameAttrList;
|
reader.readMessage(value,proto.tensorflow.NameAttrList.deserializeBinaryFromReader);
|
msg.setFunc(value);
|
break;
|
default:
|
reader.skipField();
|
break;
|
}
|
}
|
return msg;
|
};
|
|
|
/**
|
* Serializes the message to binary data (in protobuf wire format).
|
* @return {!Uint8Array}
|
*/
|
proto.tensorflow.AttrValue.prototype.serializeBinary = function() {
|
var writer = new jspb.BinaryWriter();
|
proto.tensorflow.AttrValue.serializeBinaryToWriter(this, writer);
|
return writer.getResultBuffer();
|
};
|
|
|
/**
|
* Serializes the given message to binary data (in protobuf wire
|
* format), writing to the given BinaryWriter.
|
* @param {!proto.tensorflow.AttrValue} message
|
* @param {!jspb.BinaryWriter} writer
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.AttrValue.serializeBinaryToWriter = function(message, writer) {
|
var f = undefined;
|
f = message.getList();
|
if (f != null) {
|
writer.writeMessage(
|
1,
|
f,
|
proto.tensorflow.AttrValue.ListValue.serializeBinaryToWriter
|
);
|
}
|
f = /** @type {!(string|Uint8Array)} */ (jspb.Message.getField(message, 2));
|
if (f != null) {
|
writer.writeBytes(
|
2,
|
f
|
);
|
}
|
f = /** @type {number} */ (jspb.Message.getField(message, 3));
|
if (f != null) {
|
writer.writeInt64(
|
3,
|
f
|
);
|
}
|
f = /** @type {number} */ (jspb.Message.getField(message, 4));
|
if (f != null) {
|
writer.writeFloat(
|
4,
|
f
|
);
|
}
|
f = /** @type {boolean} */ (jspb.Message.getField(message, 5));
|
if (f != null) {
|
writer.writeBool(
|
5,
|
f
|
);
|
}
|
f = /** @type {!proto.tensorflow.DataType} */ (jspb.Message.getField(message, 6));
|
if (f != null) {
|
writer.writeEnum(
|
6,
|
f
|
);
|
}
|
f = message.getShape();
|
if (f != null) {
|
writer.writeMessage(
|
7,
|
f,
|
proto.tensorflow.TensorShape.serializeBinaryToWriter
|
);
|
}
|
f = message.getTensor();
|
if (f != null) {
|
writer.writeMessage(
|
8,
|
f,
|
proto.tensorflow.Tensor.serializeBinaryToWriter
|
);
|
}
|
f = /** @type {string} */ (jspb.Message.getField(message, 9));
|
if (f != null) {
|
writer.writeString(
|
9,
|
f
|
);
|
}
|
f = message.getFunc();
|
if (f != null) {
|
writer.writeMessage(
|
10,
|
f,
|
proto.tensorflow.NameAttrList.serializeBinaryToWriter
|
);
|
}
|
};
|
|
|
|
/**
|
* List of repeated fields within this message type.
|
* @private {!Array<number>}
|
* @const
|
*/
|
proto.tensorflow.AttrValue.ListValue.repeatedFields_ = [2,3,4,5,6,7,8,9];
|
|
|
|
if (jspb.Message.GENERATE_TO_OBJECT) {
|
/**
|
* Creates an object representation of this proto.
|
* Field names that are reserved in JavaScript and will be renamed to pb_name.
|
* Optional fields that are not set will be set to undefined.
|
* To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
|
* For the list of reserved names please see:
|
* net/proto2/compiler/js/internal/generator.cc#kKeyword.
|
* @param {boolean=} opt_includeInstance Deprecated. whether to include the
|
* JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @return {!Object}
|
*/
|
proto.tensorflow.AttrValue.ListValue.prototype.toObject = function(opt_includeInstance) {
|
return proto.tensorflow.AttrValue.ListValue.toObject(opt_includeInstance, this);
|
};
|
|
|
/**
|
* Static version of the {@see toObject} method.
|
* @param {boolean|undefined} includeInstance Deprecated. Whether to include
|
* the JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @param {!proto.tensorflow.AttrValue.ListValue} msg The msg instance to transform.
|
* @return {!Object}
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.AttrValue.ListValue.toObject = function(includeInstance, msg) {
|
var f, obj = {
|
sList: msg.getSList_asB64(),
|
iList: (f = jspb.Message.getRepeatedField(msg, 3)) == null ? undefined : f,
|
fList: (f = jspb.Message.getRepeatedFloatingPointField(msg, 4)) == null ? undefined : f,
|
bList: (f = jspb.Message.getRepeatedBooleanField(msg, 5)) == null ? undefined : f,
|
typeList: (f = jspb.Message.getRepeatedField(msg, 6)) == null ? undefined : f,
|
shapeList: jspb.Message.toObjectList(msg.getShapeList(),
|
proto.tensorflow.TensorShape.toObject, includeInstance),
|
tensorList: jspb.Message.toObjectList(msg.getTensorList(),
|
proto.tensorflow.Tensor.toObject, includeInstance),
|
funcList: jspb.Message.toObjectList(msg.getFuncList(),
|
proto.tensorflow.NameAttrList.toObject, includeInstance)
|
};
|
|
if (includeInstance) {
|
obj.$jspbMessageInstance = msg;
|
}
|
return obj;
|
};
|
}
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format).
|
* @param {jspb.ByteSource} bytes The bytes to deserialize.
|
* @return {!proto.tensorflow.AttrValue.ListValue}
|
*/
|
proto.tensorflow.AttrValue.ListValue.deserializeBinary = function(bytes) {
|
var reader = new jspb.BinaryReader(bytes);
|
var msg = new proto.tensorflow.AttrValue.ListValue;
|
return proto.tensorflow.AttrValue.ListValue.deserializeBinaryFromReader(msg, reader);
|
};
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format) from the
|
* given reader into the given message object.
|
* @param {!proto.tensorflow.AttrValue.ListValue} msg The message object to deserialize into.
|
* @param {!jspb.BinaryReader} reader The BinaryReader to use.
|
* @return {!proto.tensorflow.AttrValue.ListValue}
|
*/
|
proto.tensorflow.AttrValue.ListValue.deserializeBinaryFromReader = function(msg, reader) {
|
while (reader.nextField()) {
|
if (reader.isEndGroup()) {
|
break;
|
}
|
var field = reader.getFieldNumber();
|
switch (field) {
|
case 2:
|
var value = /** @type {!Uint8Array} */ (reader.readBytes());
|
msg.addS(value);
|
break;
|
case 3:
|
var values = /** @type {!Array<number>} */ (reader.isDelimited() ? reader.readPackedInt64() : [reader.readInt64()]);
|
for (var i = 0; i < values.length; i++) {
|
msg.addI(values[i]);
|
}
|
break;
|
case 4:
|
var values = /** @type {!Array<number>} */ (reader.isDelimited() ? reader.readPackedFloat() : [reader.readFloat()]);
|
for (var i = 0; i < values.length; i++) {
|
msg.addF(values[i]);
|
}
|
break;
|
case 5:
|
var values = /** @type {!Array<boolean>} */ (reader.isDelimited() ? reader.readPackedBool() : [reader.readBool()]);
|
for (var i = 0; i < values.length; i++) {
|
msg.addB(values[i]);
|
}
|
break;
|
case 6:
|
var values = /** @type {!Array<!proto.tensorflow.DataType>} */ (reader.isDelimited() ? reader.readPackedEnum() : [reader.readEnum()]);
|
for (var i = 0; i < values.length; i++) {
|
msg.addType(values[i]);
|
}
|
break;
|
case 7:
|
var value = new proto.tensorflow.TensorShape;
|
reader.readMessage(value,proto.tensorflow.TensorShape.deserializeBinaryFromReader);
|
msg.addShape(value);
|
break;
|
case 8:
|
var value = new proto.tensorflow.Tensor;
|
reader.readMessage(value,proto.tensorflow.Tensor.deserializeBinaryFromReader);
|
msg.addTensor(value);
|
break;
|
case 9:
|
var value = new proto.tensorflow.NameAttrList;
|
reader.readMessage(value,proto.tensorflow.NameAttrList.deserializeBinaryFromReader);
|
msg.addFunc(value);
|
break;
|
default:
|
reader.skipField();
|
break;
|
}
|
}
|
return msg;
|
};
|
|
|
/**
|
* Serializes the message to binary data (in protobuf wire format).
|
* @return {!Uint8Array}
|
*/
|
proto.tensorflow.AttrValue.ListValue.prototype.serializeBinary = function() {
|
var writer = new jspb.BinaryWriter();
|
proto.tensorflow.AttrValue.ListValue.serializeBinaryToWriter(this, writer);
|
return writer.getResultBuffer();
|
};
|
|
|
/**
|
* Serializes the given message to binary data (in protobuf wire
|
* format), writing to the given BinaryWriter.
|
* @param {!proto.tensorflow.AttrValue.ListValue} message
|
* @param {!jspb.BinaryWriter} writer
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.AttrValue.ListValue.serializeBinaryToWriter = function(message, writer) {
|
var f = undefined;
|
f = message.getSList_asU8();
|
if (f.length > 0) {
|
writer.writeRepeatedBytes(
|
2,
|
f
|
);
|
}
|
f = message.getIList();
|
if (f.length > 0) {
|
writer.writePackedInt64(
|
3,
|
f
|
);
|
}
|
f = message.getFList();
|
if (f.length > 0) {
|
writer.writePackedFloat(
|
4,
|
f
|
);
|
}
|
f = message.getBList();
|
if (f.length > 0) {
|
writer.writePackedBool(
|
5,
|
f
|
);
|
}
|
f = message.getTypeList();
|
if (f.length > 0) {
|
writer.writePackedEnum(
|
6,
|
f
|
);
|
}
|
f = message.getShapeList();
|
if (f.length > 0) {
|
writer.writeRepeatedMessage(
|
7,
|
f,
|
proto.tensorflow.TensorShape.serializeBinaryToWriter
|
);
|
}
|
f = message.getTensorList();
|
if (f.length > 0) {
|
writer.writeRepeatedMessage(
|
8,
|
f,
|
proto.tensorflow.Tensor.serializeBinaryToWriter
|
);
|
}
|
f = message.getFuncList();
|
if (f.length > 0) {
|
writer.writeRepeatedMessage(
|
9,
|
f,
|
proto.tensorflow.NameAttrList.serializeBinaryToWriter
|
);
|
}
|
};
|
|
|
/**
|
* repeated bytes s = 2;
|
* @return {!(Array<!Uint8Array>|Array<string>)}
|
*/
|
proto.tensorflow.AttrValue.ListValue.prototype.getSList = function() {
|
return /** @type {!(Array<!Uint8Array>|Array<string>)} */ (jspb.Message.getRepeatedField(this, 2));
|
};
|
|
|
/**
|
* repeated bytes s = 2;
|
* This is a type-conversion wrapper around `getSList()`
|
* @return {!Array<string>}
|
*/
|
proto.tensorflow.AttrValue.ListValue.prototype.getSList_asB64 = function() {
|
return /** @type {!Array<string>} */ (jspb.Message.bytesListAsB64(
|
this.getSList()));
|
};
|
|
|
/**
|
* repeated bytes s = 2;
|
* Note that Uint8Array is not supported on all browsers.
|
* @see http://caniuse.com/Uint8Array
|
* This is a type-conversion wrapper around `getSList()`
|
* @return {!Array<!Uint8Array>}
|
*/
|
proto.tensorflow.AttrValue.ListValue.prototype.getSList_asU8 = function() {
|
return /** @type {!Array<!Uint8Array>} */ (jspb.Message.bytesListAsU8(
|
this.getSList()));
|
};
|
|
|
/**
|
* @param {!(Array<!Uint8Array>|Array<string>)} value
|
* @return {!proto.tensorflow.AttrValue.ListValue} returns this
|
*/
|
proto.tensorflow.AttrValue.ListValue.prototype.setSList = function(value) {
|
return jspb.Message.setField(this, 2, value || []);
|
};
|
|
|
/**
|
* @param {!(string|Uint8Array)} value
|
* @param {number=} opt_index
|
* @return {!proto.tensorflow.AttrValue.ListValue} returns this
|
*/
|
proto.tensorflow.AttrValue.ListValue.prototype.addS = function(value, opt_index) {
|
return jspb.Message.addToRepeatedField(this, 2, value, opt_index);
|
};
|
|
|
/**
|
* Clears the list making it empty but non-null.
|
* @return {!proto.tensorflow.AttrValue.ListValue} returns this
|
*/
|
proto.tensorflow.AttrValue.ListValue.prototype.clearSList = function() {
|
return this.setSList([]);
|
};
|
|
|
/**
|
* repeated int64 i = 3;
|
* @return {!Array<number>}
|
*/
|
proto.tensorflow.AttrValue.ListValue.prototype.getIList = function() {
|
return /** @type {!Array<number>} */ (jspb.Message.getRepeatedField(this, 3));
|
};
|
|
|
/**
|
* @param {!Array<number>} value
|
* @return {!proto.tensorflow.AttrValue.ListValue} returns this
|
*/
|
proto.tensorflow.AttrValue.ListValue.prototype.setIList = function(value) {
|
return jspb.Message.setField(this, 3, value || []);
|
};
|
|
|
/**
|
* @param {number} value
|
* @param {number=} opt_index
|
* @return {!proto.tensorflow.AttrValue.ListValue} returns this
|
*/
|
proto.tensorflow.AttrValue.ListValue.prototype.addI = function(value, opt_index) {
|
return jspb.Message.addToRepeatedField(this, 3, value, opt_index);
|
};
|
|
|
/**
|
* Clears the list making it empty but non-null.
|
* @return {!proto.tensorflow.AttrValue.ListValue} returns this
|
*/
|
proto.tensorflow.AttrValue.ListValue.prototype.clearIList = function() {
|
return this.setIList([]);
|
};
|
|
|
/**
|
* repeated float f = 4;
|
* @return {!Array<number>}
|
*/
|
proto.tensorflow.AttrValue.ListValue.prototype.getFList = function() {
|
return /** @type {!Array<number>} */ (jspb.Message.getRepeatedFloatingPointField(this, 4));
|
};
|
|
|
/**
|
* @param {!Array<number>} value
|
* @return {!proto.tensorflow.AttrValue.ListValue} returns this
|
*/
|
proto.tensorflow.AttrValue.ListValue.prototype.setFList = function(value) {
|
return jspb.Message.setField(this, 4, value || []);
|
};
|
|
|
/**
|
* @param {number} value
|
* @param {number=} opt_index
|
* @return {!proto.tensorflow.AttrValue.ListValue} returns this
|
*/
|
proto.tensorflow.AttrValue.ListValue.prototype.addF = function(value, opt_index) {
|
return jspb.Message.addToRepeatedField(this, 4, value, opt_index);
|
};
|
|
|
/**
|
* Clears the list making it empty but non-null.
|
* @return {!proto.tensorflow.AttrValue.ListValue} returns this
|
*/
|
proto.tensorflow.AttrValue.ListValue.prototype.clearFList = function() {
|
return this.setFList([]);
|
};
|
|
|
/**
|
* repeated bool b = 5;
|
* @return {!Array<boolean>}
|
*/
|
proto.tensorflow.AttrValue.ListValue.prototype.getBList = function() {
|
return /** @type {!Array<boolean>} */ (jspb.Message.getRepeatedBooleanField(this, 5));
|
};
|
|
|
/**
|
* @param {!Array<boolean>} value
|
* @return {!proto.tensorflow.AttrValue.ListValue} returns this
|
*/
|
proto.tensorflow.AttrValue.ListValue.prototype.setBList = function(value) {
|
return jspb.Message.setField(this, 5, value || []);
|
};
|
|
|
/**
|
* @param {boolean} value
|
* @param {number=} opt_index
|
* @return {!proto.tensorflow.AttrValue.ListValue} returns this
|
*/
|
proto.tensorflow.AttrValue.ListValue.prototype.addB = function(value, opt_index) {
|
return jspb.Message.addToRepeatedField(this, 5, value, opt_index);
|
};
|
|
|
/**
|
* Clears the list making it empty but non-null.
|
* @return {!proto.tensorflow.AttrValue.ListValue} returns this
|
*/
|
proto.tensorflow.AttrValue.ListValue.prototype.clearBList = function() {
|
return this.setBList([]);
|
};
|
|
|
/**
|
* repeated DataType type = 6;
|
* @return {!Array<!proto.tensorflow.DataType>}
|
*/
|
proto.tensorflow.AttrValue.ListValue.prototype.getTypeList = function() {
|
return /** @type {!Array<!proto.tensorflow.DataType>} */ (jspb.Message.getRepeatedField(this, 6));
|
};
|
|
|
/**
|
* @param {!Array<!proto.tensorflow.DataType>} value
|
* @return {!proto.tensorflow.AttrValue.ListValue} returns this
|
*/
|
proto.tensorflow.AttrValue.ListValue.prototype.setTypeList = function(value) {
|
return jspb.Message.setField(this, 6, value || []);
|
};
|
|
|
/**
|
* @param {!proto.tensorflow.DataType} value
|
* @param {number=} opt_index
|
* @return {!proto.tensorflow.AttrValue.ListValue} returns this
|
*/
|
proto.tensorflow.AttrValue.ListValue.prototype.addType = function(value, opt_index) {
|
return jspb.Message.addToRepeatedField(this, 6, value, opt_index);
|
};
|
|
|
/**
|
* Clears the list making it empty but non-null.
|
* @return {!proto.tensorflow.AttrValue.ListValue} returns this
|
*/
|
proto.tensorflow.AttrValue.ListValue.prototype.clearTypeList = function() {
|
return this.setTypeList([]);
|
};
|
|
|
/**
|
* repeated TensorShape shape = 7;
|
* @return {!Array<!proto.tensorflow.TensorShape>}
|
*/
|
proto.tensorflow.AttrValue.ListValue.prototype.getShapeList = function() {
|
return /** @type{!Array<!proto.tensorflow.TensorShape>} */ (
|
jspb.Message.getRepeatedWrapperField(this, proto.tensorflow.TensorShape, 7));
|
};
|
|
|
/**
|
* @param {!Array<!proto.tensorflow.TensorShape>} value
|
* @return {!proto.tensorflow.AttrValue.ListValue} returns this
|
*/
|
proto.tensorflow.AttrValue.ListValue.prototype.setShapeList = function(value) {
|
return jspb.Message.setRepeatedWrapperField(this, 7, value);
|
};
|
|
|
/**
|
* @param {!proto.tensorflow.TensorShape=} opt_value
|
* @param {number=} opt_index
|
* @return {!proto.tensorflow.TensorShape}
|
*/
|
proto.tensorflow.AttrValue.ListValue.prototype.addShape = function(opt_value, opt_index) {
|
return jspb.Message.addToRepeatedWrapperField(this, 7, opt_value, proto.tensorflow.TensorShape, opt_index);
|
};
|
|
|
/**
|
* Clears the list making it empty but non-null.
|
* @return {!proto.tensorflow.AttrValue.ListValue} returns this
|
*/
|
proto.tensorflow.AttrValue.ListValue.prototype.clearShapeList = function() {
|
return this.setShapeList([]);
|
};
|
|
|
/**
|
* repeated Tensor tensor = 8;
|
* @return {!Array<!proto.tensorflow.Tensor>}
|
*/
|
proto.tensorflow.AttrValue.ListValue.prototype.getTensorList = function() {
|
return /** @type{!Array<!proto.tensorflow.Tensor>} */ (
|
jspb.Message.getRepeatedWrapperField(this, proto.tensorflow.Tensor, 8));
|
};
|
|
|
/**
|
* @param {!Array<!proto.tensorflow.Tensor>} value
|
* @return {!proto.tensorflow.AttrValue.ListValue} returns this
|
*/
|
proto.tensorflow.AttrValue.ListValue.prototype.setTensorList = function(value) {
|
return jspb.Message.setRepeatedWrapperField(this, 8, value);
|
};
|
|
|
/**
|
* @param {!proto.tensorflow.Tensor=} opt_value
|
* @param {number=} opt_index
|
* @return {!proto.tensorflow.Tensor}
|
*/
|
proto.tensorflow.AttrValue.ListValue.prototype.addTensor = function(opt_value, opt_index) {
|
return jspb.Message.addToRepeatedWrapperField(this, 8, opt_value, proto.tensorflow.Tensor, opt_index);
|
};
|
|
|
/**
|
* Clears the list making it empty but non-null.
|
* @return {!proto.tensorflow.AttrValue.ListValue} returns this
|
*/
|
proto.tensorflow.AttrValue.ListValue.prototype.clearTensorList = function() {
|
return this.setTensorList([]);
|
};
|
|
|
/**
|
* repeated NameAttrList func = 9;
|
* @return {!Array<!proto.tensorflow.NameAttrList>}
|
*/
|
proto.tensorflow.AttrValue.ListValue.prototype.getFuncList = function() {
|
return /** @type{!Array<!proto.tensorflow.NameAttrList>} */ (
|
jspb.Message.getRepeatedWrapperField(this, proto.tensorflow.NameAttrList, 9));
|
};
|
|
|
/**
|
* @param {!Array<!proto.tensorflow.NameAttrList>} value
|
* @return {!proto.tensorflow.AttrValue.ListValue} returns this
|
*/
|
proto.tensorflow.AttrValue.ListValue.prototype.setFuncList = function(value) {
|
return jspb.Message.setRepeatedWrapperField(this, 9, value);
|
};
|
|
|
/**
|
* @param {!proto.tensorflow.NameAttrList=} opt_value
|
* @param {number=} opt_index
|
* @return {!proto.tensorflow.NameAttrList}
|
*/
|
proto.tensorflow.AttrValue.ListValue.prototype.addFunc = function(opt_value, opt_index) {
|
return jspb.Message.addToRepeatedWrapperField(this, 9, opt_value, proto.tensorflow.NameAttrList, opt_index);
|
};
|
|
|
/**
|
* Clears the list making it empty but non-null.
|
* @return {!proto.tensorflow.AttrValue.ListValue} returns this
|
*/
|
proto.tensorflow.AttrValue.ListValue.prototype.clearFuncList = function() {
|
return this.setFuncList([]);
|
};
|
|
|
/**
|
* optional ListValue list = 1;
|
* @return {?proto.tensorflow.AttrValue.ListValue}
|
*/
|
proto.tensorflow.AttrValue.prototype.getList = function() {
|
return /** @type{?proto.tensorflow.AttrValue.ListValue} */ (
|
jspb.Message.getWrapperField(this, proto.tensorflow.AttrValue.ListValue, 1));
|
};
|
|
|
/**
|
* @param {?proto.tensorflow.AttrValue.ListValue|undefined} value
|
* @return {!proto.tensorflow.AttrValue} returns this
|
*/
|
proto.tensorflow.AttrValue.prototype.setList = function(value) {
|
return jspb.Message.setOneofWrapperField(this, 1, proto.tensorflow.AttrValue.oneofGroups_[0], value);
|
};
|
|
|
/**
|
* Clears the message field making it undefined.
|
* @return {!proto.tensorflow.AttrValue} returns this
|
*/
|
proto.tensorflow.AttrValue.prototype.clearList = function() {
|
return this.setList(undefined);
|
};
|
|
|
/**
|
* Returns whether this field is set.
|
* @return {boolean}
|
*/
|
proto.tensorflow.AttrValue.prototype.hasList = function() {
|
return jspb.Message.getField(this, 1) != null;
|
};
|
|
|
/**
|
* optional bytes s = 2;
|
* @return {!(string|Uint8Array)}
|
*/
|
proto.tensorflow.AttrValue.prototype.getS = function() {
|
return /** @type {!(string|Uint8Array)} */ (jspb.Message.getFieldWithDefault(this, 2, ""));
|
};
|
|
|
/**
|
* optional bytes s = 2;
|
* This is a type-conversion wrapper around `getS()`
|
* @return {string}
|
*/
|
proto.tensorflow.AttrValue.prototype.getS_asB64 = function() {
|
return /** @type {string} */ (jspb.Message.bytesAsB64(
|
this.getS()));
|
};
|
|
|
/**
|
* optional bytes s = 2;
|
* Note that Uint8Array is not supported on all browsers.
|
* @see http://caniuse.com/Uint8Array
|
* This is a type-conversion wrapper around `getS()`
|
* @return {!Uint8Array}
|
*/
|
proto.tensorflow.AttrValue.prototype.getS_asU8 = function() {
|
return /** @type {!Uint8Array} */ (jspb.Message.bytesAsU8(
|
this.getS()));
|
};
|
|
|
/**
|
* @param {!(string|Uint8Array)} value
|
* @return {!proto.tensorflow.AttrValue} returns this
|
*/
|
proto.tensorflow.AttrValue.prototype.setS = function(value) {
|
return jspb.Message.setOneofField(this, 2, proto.tensorflow.AttrValue.oneofGroups_[0], value);
|
};
|
|
|
/**
|
* Clears the field making it undefined.
|
* @return {!proto.tensorflow.AttrValue} returns this
|
*/
|
proto.tensorflow.AttrValue.prototype.clearS = function() {
|
return jspb.Message.setOneofField(this, 2, proto.tensorflow.AttrValue.oneofGroups_[0], undefined);
|
};
|
|
|
/**
|
* Returns whether this field is set.
|
* @return {boolean}
|
*/
|
proto.tensorflow.AttrValue.prototype.hasS = function() {
|
return jspb.Message.getField(this, 2) != null;
|
};
|
|
|
/**
|
* optional int64 i = 3;
|
* @return {number}
|
*/
|
proto.tensorflow.AttrValue.prototype.getI = function() {
|
return /** @type {number} */ (jspb.Message.getFieldWithDefault(this, 3, 0));
|
};
|
|
|
/**
|
* @param {number} value
|
* @return {!proto.tensorflow.AttrValue} returns this
|
*/
|
proto.tensorflow.AttrValue.prototype.setI = function(value) {
|
return jspb.Message.setOneofField(this, 3, proto.tensorflow.AttrValue.oneofGroups_[0], value);
|
};
|
|
|
/**
|
* Clears the field making it undefined.
|
* @return {!proto.tensorflow.AttrValue} returns this
|
*/
|
proto.tensorflow.AttrValue.prototype.clearI = function() {
|
return jspb.Message.setOneofField(this, 3, proto.tensorflow.AttrValue.oneofGroups_[0], undefined);
|
};
|
|
|
/**
|
* Returns whether this field is set.
|
* @return {boolean}
|
*/
|
proto.tensorflow.AttrValue.prototype.hasI = function() {
|
return jspb.Message.getField(this, 3) != null;
|
};
|
|
|
/**
|
* optional float f = 4;
|
* @return {number}
|
*/
|
proto.tensorflow.AttrValue.prototype.getF = function() {
|
return /** @type {number} */ (jspb.Message.getFloatingPointFieldWithDefault(this, 4, 0.0));
|
};
|
|
|
/**
|
* @param {number} value
|
* @return {!proto.tensorflow.AttrValue} returns this
|
*/
|
proto.tensorflow.AttrValue.prototype.setF = function(value) {
|
return jspb.Message.setOneofField(this, 4, proto.tensorflow.AttrValue.oneofGroups_[0], value);
|
};
|
|
|
/**
|
* Clears the field making it undefined.
|
* @return {!proto.tensorflow.AttrValue} returns this
|
*/
|
proto.tensorflow.AttrValue.prototype.clearF = function() {
|
return jspb.Message.setOneofField(this, 4, proto.tensorflow.AttrValue.oneofGroups_[0], undefined);
|
};
|
|
|
/**
|
* Returns whether this field is set.
|
* @return {boolean}
|
*/
|
proto.tensorflow.AttrValue.prototype.hasF = function() {
|
return jspb.Message.getField(this, 4) != null;
|
};
|
|
|
/**
|
* optional bool b = 5;
|
* @return {boolean}
|
*/
|
proto.tensorflow.AttrValue.prototype.getB = function() {
|
return /** @type {boolean} */ (jspb.Message.getBooleanFieldWithDefault(this, 5, false));
|
};
|
|
|
/**
|
* @param {boolean} value
|
* @return {!proto.tensorflow.AttrValue} returns this
|
*/
|
proto.tensorflow.AttrValue.prototype.setB = function(value) {
|
return jspb.Message.setOneofField(this, 5, proto.tensorflow.AttrValue.oneofGroups_[0], value);
|
};
|
|
|
/**
|
* Clears the field making it undefined.
|
* @return {!proto.tensorflow.AttrValue} returns this
|
*/
|
proto.tensorflow.AttrValue.prototype.clearB = function() {
|
return jspb.Message.setOneofField(this, 5, proto.tensorflow.AttrValue.oneofGroups_[0], undefined);
|
};
|
|
|
/**
|
* Returns whether this field is set.
|
* @return {boolean}
|
*/
|
proto.tensorflow.AttrValue.prototype.hasB = function() {
|
return jspb.Message.getField(this, 5) != null;
|
};
|
|
|
/**
|
* optional DataType type = 6;
|
* @return {!proto.tensorflow.DataType}
|
*/
|
proto.tensorflow.AttrValue.prototype.getType = function() {
|
return /** @type {!proto.tensorflow.DataType} */ (jspb.Message.getFieldWithDefault(this, 6, 0));
|
};
|
|
|
/**
|
* @param {!proto.tensorflow.DataType} value
|
* @return {!proto.tensorflow.AttrValue} returns this
|
*/
|
proto.tensorflow.AttrValue.prototype.setType = function(value) {
|
return jspb.Message.setOneofField(this, 6, proto.tensorflow.AttrValue.oneofGroups_[0], value);
|
};
|
|
|
/**
|
* Clears the field making it undefined.
|
* @return {!proto.tensorflow.AttrValue} returns this
|
*/
|
proto.tensorflow.AttrValue.prototype.clearType = function() {
|
return jspb.Message.setOneofField(this, 6, proto.tensorflow.AttrValue.oneofGroups_[0], undefined);
|
};
|
|
|
/**
|
* Returns whether this field is set.
|
* @return {boolean}
|
*/
|
proto.tensorflow.AttrValue.prototype.hasType = function() {
|
return jspb.Message.getField(this, 6) != null;
|
};
|
|
|
/**
|
* optional TensorShape shape = 7;
|
* @return {?proto.tensorflow.TensorShape}
|
*/
|
proto.tensorflow.AttrValue.prototype.getShape = function() {
|
return /** @type{?proto.tensorflow.TensorShape} */ (
|
jspb.Message.getWrapperField(this, proto.tensorflow.TensorShape, 7));
|
};
|
|
|
/**
|
* @param {?proto.tensorflow.TensorShape|undefined} value
|
* @return {!proto.tensorflow.AttrValue} returns this
|
*/
|
proto.tensorflow.AttrValue.prototype.setShape = function(value) {
|
return jspb.Message.setOneofWrapperField(this, 7, proto.tensorflow.AttrValue.oneofGroups_[0], value);
|
};
|
|
|
/**
|
* Clears the message field making it undefined.
|
* @return {!proto.tensorflow.AttrValue} returns this
|
*/
|
proto.tensorflow.AttrValue.prototype.clearShape = function() {
|
return this.setShape(undefined);
|
};
|
|
|
/**
|
* Returns whether this field is set.
|
* @return {boolean}
|
*/
|
proto.tensorflow.AttrValue.prototype.hasShape = function() {
|
return jspb.Message.getField(this, 7) != null;
|
};
|
|
|
/**
|
* optional Tensor tensor = 8;
|
* @return {?proto.tensorflow.Tensor}
|
*/
|
proto.tensorflow.AttrValue.prototype.getTensor = function() {
|
return /** @type{?proto.tensorflow.Tensor} */ (
|
jspb.Message.getWrapperField(this, proto.tensorflow.Tensor, 8));
|
};
|
|
|
/**
|
* @param {?proto.tensorflow.Tensor|undefined} value
|
* @return {!proto.tensorflow.AttrValue} returns this
|
*/
|
proto.tensorflow.AttrValue.prototype.setTensor = function(value) {
|
return jspb.Message.setOneofWrapperField(this, 8, proto.tensorflow.AttrValue.oneofGroups_[0], value);
|
};
|
|
|
/**
|
* Clears the message field making it undefined.
|
* @return {!proto.tensorflow.AttrValue} returns this
|
*/
|
proto.tensorflow.AttrValue.prototype.clearTensor = function() {
|
return this.setTensor(undefined);
|
};
|
|
|
/**
|
* Returns whether this field is set.
|
* @return {boolean}
|
*/
|
proto.tensorflow.AttrValue.prototype.hasTensor = function() {
|
return jspb.Message.getField(this, 8) != null;
|
};
|
|
|
/**
|
* optional string placeholder = 9;
|
* @return {string}
|
*/
|
proto.tensorflow.AttrValue.prototype.getPlaceholder = function() {
|
return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 9, ""));
|
};
|
|
|
/**
|
* @param {string} value
|
* @return {!proto.tensorflow.AttrValue} returns this
|
*/
|
proto.tensorflow.AttrValue.prototype.setPlaceholder = function(value) {
|
return jspb.Message.setOneofField(this, 9, proto.tensorflow.AttrValue.oneofGroups_[0], value);
|
};
|
|
|
/**
|
* Clears the field making it undefined.
|
* @return {!proto.tensorflow.AttrValue} returns this
|
*/
|
proto.tensorflow.AttrValue.prototype.clearPlaceholder = function() {
|
return jspb.Message.setOneofField(this, 9, proto.tensorflow.AttrValue.oneofGroups_[0], undefined);
|
};
|
|
|
/**
|
* Returns whether this field is set.
|
* @return {boolean}
|
*/
|
proto.tensorflow.AttrValue.prototype.hasPlaceholder = function() {
|
return jspb.Message.getField(this, 9) != null;
|
};
|
|
|
/**
|
* optional NameAttrList func = 10;
|
* @return {?proto.tensorflow.NameAttrList}
|
*/
|
proto.tensorflow.AttrValue.prototype.getFunc = function() {
|
return /** @type{?proto.tensorflow.NameAttrList} */ (
|
jspb.Message.getWrapperField(this, proto.tensorflow.NameAttrList, 10));
|
};
|
|
|
/**
|
* @param {?proto.tensorflow.NameAttrList|undefined} value
|
* @return {!proto.tensorflow.AttrValue} returns this
|
*/
|
proto.tensorflow.AttrValue.prototype.setFunc = function(value) {
|
return jspb.Message.setOneofWrapperField(this, 10, proto.tensorflow.AttrValue.oneofGroups_[0], value);
|
};
|
|
|
/**
|
* Clears the message field making it undefined.
|
* @return {!proto.tensorflow.AttrValue} returns this
|
*/
|
proto.tensorflow.AttrValue.prototype.clearFunc = function() {
|
return this.setFunc(undefined);
|
};
|
|
|
/**
|
* Returns whether this field is set.
|
* @return {boolean}
|
*/
|
proto.tensorflow.AttrValue.prototype.hasFunc = function() {
|
return jspb.Message.getField(this, 10) != null;
|
};
|
|
|
|
|
|
if (jspb.Message.GENERATE_TO_OBJECT) {
|
/**
|
* Creates an object representation of this proto.
|
* Field names that are reserved in JavaScript and will be renamed to pb_name.
|
* Optional fields that are not set will be set to undefined.
|
* To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
|
* For the list of reserved names please see:
|
* net/proto2/compiler/js/internal/generator.cc#kKeyword.
|
* @param {boolean=} opt_includeInstance Deprecated. whether to include the
|
* JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @return {!Object}
|
*/
|
proto.tensorflow.NameAttrList.prototype.toObject = function(opt_includeInstance) {
|
return proto.tensorflow.NameAttrList.toObject(opt_includeInstance, this);
|
};
|
|
|
/**
|
* Static version of the {@see toObject} method.
|
* @param {boolean|undefined} includeInstance Deprecated. Whether to include
|
* the JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @param {!proto.tensorflow.NameAttrList} msg The msg instance to transform.
|
* @return {!Object}
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.NameAttrList.toObject = function(includeInstance, msg) {
|
var f, obj = {
|
name: jspb.Message.getFieldWithDefault(msg, 1, ""),
|
attrMap: (f = msg.getAttrMap()) ? f.toObject(includeInstance, proto.tensorflow.AttrValue.toObject) : []
|
};
|
|
if (includeInstance) {
|
obj.$jspbMessageInstance = msg;
|
}
|
return obj;
|
};
|
}
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format).
|
* @param {jspb.ByteSource} bytes The bytes to deserialize.
|
* @return {!proto.tensorflow.NameAttrList}
|
*/
|
proto.tensorflow.NameAttrList.deserializeBinary = function(bytes) {
|
var reader = new jspb.BinaryReader(bytes);
|
var msg = new proto.tensorflow.NameAttrList;
|
return proto.tensorflow.NameAttrList.deserializeBinaryFromReader(msg, reader);
|
};
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format) from the
|
* given reader into the given message object.
|
* @param {!proto.tensorflow.NameAttrList} msg The message object to deserialize into.
|
* @param {!jspb.BinaryReader} reader The BinaryReader to use.
|
* @return {!proto.tensorflow.NameAttrList}
|
*/
|
proto.tensorflow.NameAttrList.deserializeBinaryFromReader = function(msg, reader) {
|
while (reader.nextField()) {
|
if (reader.isEndGroup()) {
|
break;
|
}
|
var field = reader.getFieldNumber();
|
switch (field) {
|
case 1:
|
var value = /** @type {string} */ (reader.readString());
|
msg.setName(value);
|
break;
|
case 2:
|
var value = msg.getAttrMap();
|
reader.readMessage(value, function(message, reader) {
|
jspb.Map.deserializeBinary(message, reader, jspb.BinaryReader.prototype.readString, jspb.BinaryReader.prototype.readMessage, proto.tensorflow.AttrValue.deserializeBinaryFromReader, "", new proto.tensorflow.AttrValue());
|
});
|
break;
|
default:
|
reader.skipField();
|
break;
|
}
|
}
|
return msg;
|
};
|
|
|
/**
|
* Serializes the message to binary data (in protobuf wire format).
|
* @return {!Uint8Array}
|
*/
|
proto.tensorflow.NameAttrList.prototype.serializeBinary = function() {
|
var writer = new jspb.BinaryWriter();
|
proto.tensorflow.NameAttrList.serializeBinaryToWriter(this, writer);
|
return writer.getResultBuffer();
|
};
|
|
|
/**
|
* Serializes the given message to binary data (in protobuf wire
|
* format), writing to the given BinaryWriter.
|
* @param {!proto.tensorflow.NameAttrList} message
|
* @param {!jspb.BinaryWriter} writer
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.NameAttrList.serializeBinaryToWriter = function(message, writer) {
|
var f = undefined;
|
f = message.getName();
|
if (f.length > 0) {
|
writer.writeString(
|
1,
|
f
|
);
|
}
|
f = message.getAttrMap(true);
|
if (f && f.getLength() > 0) {
|
f.serializeBinary(2, writer, jspb.BinaryWriter.prototype.writeString, jspb.BinaryWriter.prototype.writeMessage, proto.tensorflow.AttrValue.serializeBinaryToWriter);
|
}
|
};
|
|
|
/**
|
* optional string name = 1;
|
* @return {string}
|
*/
|
proto.tensorflow.NameAttrList.prototype.getName = function() {
|
return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 1, ""));
|
};
|
|
|
/**
|
* @param {string} value
|
* @return {!proto.tensorflow.NameAttrList} returns this
|
*/
|
proto.tensorflow.NameAttrList.prototype.setName = function(value) {
|
return jspb.Message.setProto3StringField(this, 1, value);
|
};
|
|
|
/**
|
* map<string, AttrValue> attr = 2;
|
* @param {boolean=} opt_noLazyCreate Do not create the map if
|
* empty, instead returning `undefined`
|
* @return {!jspb.Map<string,!proto.tensorflow.AttrValue>}
|
*/
|
proto.tensorflow.NameAttrList.prototype.getAttrMap = function(opt_noLazyCreate) {
|
return /** @type {!jspb.Map<string,!proto.tensorflow.AttrValue>} */ (
|
jspb.Message.getMapField(this, 2, opt_noLazyCreate,
|
proto.tensorflow.AttrValue));
|
};
|
|
|
/**
|
* Clears values from the map. The map will be non-null.
|
* @return {!proto.tensorflow.NameAttrList} returns this
|
*/
|
proto.tensorflow.NameAttrList.prototype.clearAttrMap = function() {
|
this.getAttrMap().clear();
|
return this;};
|
|
|
|
/**
|
* List of repeated fields within this message type.
|
* @private {!Array<number>}
|
* @const
|
*/
|
proto.tensorflow.NodeDef.repeatedFields_ = [3];
|
|
|
|
if (jspb.Message.GENERATE_TO_OBJECT) {
|
/**
|
* Creates an object representation of this proto.
|
* Field names that are reserved in JavaScript and will be renamed to pb_name.
|
* Optional fields that are not set will be set to undefined.
|
* To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
|
* For the list of reserved names please see:
|
* net/proto2/compiler/js/internal/generator.cc#kKeyword.
|
* @param {boolean=} opt_includeInstance Deprecated. whether to include the
|
* JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @return {!Object}
|
*/
|
proto.tensorflow.NodeDef.prototype.toObject = function(opt_includeInstance) {
|
return proto.tensorflow.NodeDef.toObject(opt_includeInstance, this);
|
};
|
|
|
/**
|
* Static version of the {@see toObject} method.
|
* @param {boolean|undefined} includeInstance Deprecated. Whether to include
|
* the JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @param {!proto.tensorflow.NodeDef} msg The msg instance to transform.
|
* @return {!Object}
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.NodeDef.toObject = function(includeInstance, msg) {
|
var f, obj = {
|
name: jspb.Message.getFieldWithDefault(msg, 1, ""),
|
op: jspb.Message.getFieldWithDefault(msg, 2, ""),
|
inputList: (f = jspb.Message.getRepeatedField(msg, 3)) == null ? undefined : f,
|
device: jspb.Message.getFieldWithDefault(msg, 4, ""),
|
attrMap: (f = msg.getAttrMap()) ? f.toObject(includeInstance, proto.tensorflow.AttrValue.toObject) : []
|
};
|
|
if (includeInstance) {
|
obj.$jspbMessageInstance = msg;
|
}
|
return obj;
|
};
|
}
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format).
|
* @param {jspb.ByteSource} bytes The bytes to deserialize.
|
* @return {!proto.tensorflow.NodeDef}
|
*/
|
proto.tensorflow.NodeDef.deserializeBinary = function(bytes) {
|
var reader = new jspb.BinaryReader(bytes);
|
var msg = new proto.tensorflow.NodeDef;
|
return proto.tensorflow.NodeDef.deserializeBinaryFromReader(msg, reader);
|
};
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format) from the
|
* given reader into the given message object.
|
* @param {!proto.tensorflow.NodeDef} msg The message object to deserialize into.
|
* @param {!jspb.BinaryReader} reader The BinaryReader to use.
|
* @return {!proto.tensorflow.NodeDef}
|
*/
|
proto.tensorflow.NodeDef.deserializeBinaryFromReader = function(msg, reader) {
|
while (reader.nextField()) {
|
if (reader.isEndGroup()) {
|
break;
|
}
|
var field = reader.getFieldNumber();
|
switch (field) {
|
case 1:
|
var value = /** @type {string} */ (reader.readString());
|
msg.setName(value);
|
break;
|
case 2:
|
var value = /** @type {string} */ (reader.readString());
|
msg.setOp(value);
|
break;
|
case 3:
|
var value = /** @type {string} */ (reader.readString());
|
msg.addInput(value);
|
break;
|
case 4:
|
var value = /** @type {string} */ (reader.readString());
|
msg.setDevice(value);
|
break;
|
case 5:
|
var value = msg.getAttrMap();
|
reader.readMessage(value, function(message, reader) {
|
jspb.Map.deserializeBinary(message, reader, jspb.BinaryReader.prototype.readString, jspb.BinaryReader.prototype.readMessage, proto.tensorflow.AttrValue.deserializeBinaryFromReader, "", new proto.tensorflow.AttrValue());
|
});
|
break;
|
default:
|
reader.skipField();
|
break;
|
}
|
}
|
return msg;
|
};
|
|
|
/**
|
* Serializes the message to binary data (in protobuf wire format).
|
* @return {!Uint8Array}
|
*/
|
proto.tensorflow.NodeDef.prototype.serializeBinary = function() {
|
var writer = new jspb.BinaryWriter();
|
proto.tensorflow.NodeDef.serializeBinaryToWriter(this, writer);
|
return writer.getResultBuffer();
|
};
|
|
|
/**
|
* Serializes the given message to binary data (in protobuf wire
|
* format), writing to the given BinaryWriter.
|
* @param {!proto.tensorflow.NodeDef} message
|
* @param {!jspb.BinaryWriter} writer
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.NodeDef.serializeBinaryToWriter = function(message, writer) {
|
var f = undefined;
|
f = message.getName();
|
if (f.length > 0) {
|
writer.writeString(
|
1,
|
f
|
);
|
}
|
f = message.getOp();
|
if (f.length > 0) {
|
writer.writeString(
|
2,
|
f
|
);
|
}
|
f = message.getInputList();
|
if (f.length > 0) {
|
writer.writeRepeatedString(
|
3,
|
f
|
);
|
}
|
f = message.getDevice();
|
if (f.length > 0) {
|
writer.writeString(
|
4,
|
f
|
);
|
}
|
f = message.getAttrMap(true);
|
if (f && f.getLength() > 0) {
|
f.serializeBinary(5, writer, jspb.BinaryWriter.prototype.writeString, jspb.BinaryWriter.prototype.writeMessage, proto.tensorflow.AttrValue.serializeBinaryToWriter);
|
}
|
};
|
|
|
/**
|
* optional string name = 1;
|
* @return {string}
|
*/
|
proto.tensorflow.NodeDef.prototype.getName = function() {
|
return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 1, ""));
|
};
|
|
|
/**
|
* @param {string} value
|
* @return {!proto.tensorflow.NodeDef} returns this
|
*/
|
proto.tensorflow.NodeDef.prototype.setName = function(value) {
|
return jspb.Message.setProto3StringField(this, 1, value);
|
};
|
|
|
/**
|
* optional string op = 2;
|
* @return {string}
|
*/
|
proto.tensorflow.NodeDef.prototype.getOp = function() {
|
return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 2, ""));
|
};
|
|
|
/**
|
* @param {string} value
|
* @return {!proto.tensorflow.NodeDef} returns this
|
*/
|
proto.tensorflow.NodeDef.prototype.setOp = function(value) {
|
return jspb.Message.setProto3StringField(this, 2, value);
|
};
|
|
|
/**
|
* repeated string input = 3;
|
* @return {!Array<string>}
|
*/
|
proto.tensorflow.NodeDef.prototype.getInputList = function() {
|
return /** @type {!Array<string>} */ (jspb.Message.getRepeatedField(this, 3));
|
};
|
|
|
/**
|
* @param {!Array<string>} value
|
* @return {!proto.tensorflow.NodeDef} returns this
|
*/
|
proto.tensorflow.NodeDef.prototype.setInputList = function(value) {
|
return jspb.Message.setField(this, 3, value || []);
|
};
|
|
|
/**
|
* @param {string} value
|
* @param {number=} opt_index
|
* @return {!proto.tensorflow.NodeDef} returns this
|
*/
|
proto.tensorflow.NodeDef.prototype.addInput = function(value, opt_index) {
|
return jspb.Message.addToRepeatedField(this, 3, value, opt_index);
|
};
|
|
|
/**
|
* Clears the list making it empty but non-null.
|
* @return {!proto.tensorflow.NodeDef} returns this
|
*/
|
proto.tensorflow.NodeDef.prototype.clearInputList = function() {
|
return this.setInputList([]);
|
};
|
|
|
/**
|
* optional string device = 4;
|
* @return {string}
|
*/
|
proto.tensorflow.NodeDef.prototype.getDevice = function() {
|
return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 4, ""));
|
};
|
|
|
/**
|
* @param {string} value
|
* @return {!proto.tensorflow.NodeDef} returns this
|
*/
|
proto.tensorflow.NodeDef.prototype.setDevice = function(value) {
|
return jspb.Message.setProto3StringField(this, 4, value);
|
};
|
|
|
/**
|
* map<string, AttrValue> attr = 5;
|
* @param {boolean=} opt_noLazyCreate Do not create the map if
|
* empty, instead returning `undefined`
|
* @return {!jspb.Map<string,!proto.tensorflow.AttrValue>}
|
*/
|
proto.tensorflow.NodeDef.prototype.getAttrMap = function(opt_noLazyCreate) {
|
return /** @type {!jspb.Map<string,!proto.tensorflow.AttrValue>} */ (
|
jspb.Message.getMapField(this, 5, opt_noLazyCreate,
|
proto.tensorflow.AttrValue));
|
};
|
|
|
/**
|
* Clears values from the map. The map will be non-null.
|
* @return {!proto.tensorflow.NodeDef} returns this
|
*/
|
proto.tensorflow.NodeDef.prototype.clearAttrMap = function() {
|
this.getAttrMap().clear();
|
return this;};
|
|
|
|
/**
|
* List of repeated fields within this message type.
|
* @private {!Array<number>}
|
* @const
|
*/
|
proto.tensorflow.VersionDef.repeatedFields_ = [3];
|
|
|
|
if (jspb.Message.GENERATE_TO_OBJECT) {
|
/**
|
* Creates an object representation of this proto.
|
* Field names that are reserved in JavaScript and will be renamed to pb_name.
|
* Optional fields that are not set will be set to undefined.
|
* To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
|
* For the list of reserved names please see:
|
* net/proto2/compiler/js/internal/generator.cc#kKeyword.
|
* @param {boolean=} opt_includeInstance Deprecated. whether to include the
|
* JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @return {!Object}
|
*/
|
proto.tensorflow.VersionDef.prototype.toObject = function(opt_includeInstance) {
|
return proto.tensorflow.VersionDef.toObject(opt_includeInstance, this);
|
};
|
|
|
/**
|
* Static version of the {@see toObject} method.
|
* @param {boolean|undefined} includeInstance Deprecated. Whether to include
|
* the JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @param {!proto.tensorflow.VersionDef} msg The msg instance to transform.
|
* @return {!Object}
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.VersionDef.toObject = function(includeInstance, msg) {
|
var f, obj = {
|
producer: jspb.Message.getFieldWithDefault(msg, 1, 0),
|
minConsumer: jspb.Message.getFieldWithDefault(msg, 2, 0),
|
badConsumersList: (f = jspb.Message.getRepeatedField(msg, 3)) == null ? undefined : f
|
};
|
|
if (includeInstance) {
|
obj.$jspbMessageInstance = msg;
|
}
|
return obj;
|
};
|
}
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format).
|
* @param {jspb.ByteSource} bytes The bytes to deserialize.
|
* @return {!proto.tensorflow.VersionDef}
|
*/
|
proto.tensorflow.VersionDef.deserializeBinary = function(bytes) {
|
var reader = new jspb.BinaryReader(bytes);
|
var msg = new proto.tensorflow.VersionDef;
|
return proto.tensorflow.VersionDef.deserializeBinaryFromReader(msg, reader);
|
};
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format) from the
|
* given reader into the given message object.
|
* @param {!proto.tensorflow.VersionDef} msg The message object to deserialize into.
|
* @param {!jspb.BinaryReader} reader The BinaryReader to use.
|
* @return {!proto.tensorflow.VersionDef}
|
*/
|
proto.tensorflow.VersionDef.deserializeBinaryFromReader = function(msg, reader) {
|
while (reader.nextField()) {
|
if (reader.isEndGroup()) {
|
break;
|
}
|
var field = reader.getFieldNumber();
|
switch (field) {
|
case 1:
|
var value = /** @type {number} */ (reader.readInt32());
|
msg.setProducer(value);
|
break;
|
case 2:
|
var value = /** @type {number} */ (reader.readInt32());
|
msg.setMinConsumer(value);
|
break;
|
case 3:
|
var values = /** @type {!Array<number>} */ (reader.isDelimited() ? reader.readPackedInt32() : [reader.readInt32()]);
|
for (var i = 0; i < values.length; i++) {
|
msg.addBadConsumers(values[i]);
|
}
|
break;
|
default:
|
reader.skipField();
|
break;
|
}
|
}
|
return msg;
|
};
|
|
|
/**
|
* Serializes the message to binary data (in protobuf wire format).
|
* @return {!Uint8Array}
|
*/
|
proto.tensorflow.VersionDef.prototype.serializeBinary = function() {
|
var writer = new jspb.BinaryWriter();
|
proto.tensorflow.VersionDef.serializeBinaryToWriter(this, writer);
|
return writer.getResultBuffer();
|
};
|
|
|
/**
|
* Serializes the given message to binary data (in protobuf wire
|
* format), writing to the given BinaryWriter.
|
* @param {!proto.tensorflow.VersionDef} message
|
* @param {!jspb.BinaryWriter} writer
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.VersionDef.serializeBinaryToWriter = function(message, writer) {
|
var f = undefined;
|
f = message.getProducer();
|
if (f !== 0) {
|
writer.writeInt32(
|
1,
|
f
|
);
|
}
|
f = message.getMinConsumer();
|
if (f !== 0) {
|
writer.writeInt32(
|
2,
|
f
|
);
|
}
|
f = message.getBadConsumersList();
|
if (f.length > 0) {
|
writer.writePackedInt32(
|
3,
|
f
|
);
|
}
|
};
|
|
|
/**
|
* optional int32 producer = 1;
|
* @return {number}
|
*/
|
proto.tensorflow.VersionDef.prototype.getProducer = function() {
|
return /** @type {number} */ (jspb.Message.getFieldWithDefault(this, 1, 0));
|
};
|
|
|
/**
|
* @param {number} value
|
* @return {!proto.tensorflow.VersionDef} returns this
|
*/
|
proto.tensorflow.VersionDef.prototype.setProducer = function(value) {
|
return jspb.Message.setProto3IntField(this, 1, value);
|
};
|
|
|
/**
|
* optional int32 min_consumer = 2;
|
* @return {number}
|
*/
|
proto.tensorflow.VersionDef.prototype.getMinConsumer = function() {
|
return /** @type {number} */ (jspb.Message.getFieldWithDefault(this, 2, 0));
|
};
|
|
|
/**
|
* @param {number} value
|
* @return {!proto.tensorflow.VersionDef} returns this
|
*/
|
proto.tensorflow.VersionDef.prototype.setMinConsumer = function(value) {
|
return jspb.Message.setProto3IntField(this, 2, value);
|
};
|
|
|
/**
|
* repeated int32 bad_consumers = 3;
|
* @return {!Array<number>}
|
*/
|
proto.tensorflow.VersionDef.prototype.getBadConsumersList = function() {
|
return /** @type {!Array<number>} */ (jspb.Message.getRepeatedField(this, 3));
|
};
|
|
|
/**
|
* @param {!Array<number>} value
|
* @return {!proto.tensorflow.VersionDef} returns this
|
*/
|
proto.tensorflow.VersionDef.prototype.setBadConsumersList = function(value) {
|
return jspb.Message.setField(this, 3, value || []);
|
};
|
|
|
/**
|
* @param {number} value
|
* @param {number=} opt_index
|
* @return {!proto.tensorflow.VersionDef} returns this
|
*/
|
proto.tensorflow.VersionDef.prototype.addBadConsumers = function(value, opt_index) {
|
return jspb.Message.addToRepeatedField(this, 3, value, opt_index);
|
};
|
|
|
/**
|
* Clears the list making it empty but non-null.
|
* @return {!proto.tensorflow.VersionDef} returns this
|
*/
|
proto.tensorflow.VersionDef.prototype.clearBadConsumersList = function() {
|
return this.setBadConsumersList([]);
|
};
|
|
|
|
/**
|
* List of repeated fields within this message type.
|
* @private {!Array<number>}
|
* @const
|
*/
|
proto.tensorflow.GraphDef.repeatedFields_ = [1];
|
|
|
|
if (jspb.Message.GENERATE_TO_OBJECT) {
|
/**
|
* Creates an object representation of this proto.
|
* Field names that are reserved in JavaScript and will be renamed to pb_name.
|
* Optional fields that are not set will be set to undefined.
|
* To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
|
* For the list of reserved names please see:
|
* net/proto2/compiler/js/internal/generator.cc#kKeyword.
|
* @param {boolean=} opt_includeInstance Deprecated. whether to include the
|
* JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @return {!Object}
|
*/
|
proto.tensorflow.GraphDef.prototype.toObject = function(opt_includeInstance) {
|
return proto.tensorflow.GraphDef.toObject(opt_includeInstance, this);
|
};
|
|
|
/**
|
* Static version of the {@see toObject} method.
|
* @param {boolean|undefined} includeInstance Deprecated. Whether to include
|
* the JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @param {!proto.tensorflow.GraphDef} msg The msg instance to transform.
|
* @return {!Object}
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.GraphDef.toObject = function(includeInstance, msg) {
|
var f, obj = {
|
nodeList: jspb.Message.toObjectList(msg.getNodeList(),
|
proto.tensorflow.NodeDef.toObject, includeInstance),
|
versions: (f = msg.getVersions()) && proto.tensorflow.VersionDef.toObject(includeInstance, f),
|
library: (f = msg.getLibrary()) && proto.tensorflow.FunctionDefLibrary.toObject(includeInstance, f)
|
};
|
|
if (includeInstance) {
|
obj.$jspbMessageInstance = msg;
|
}
|
return obj;
|
};
|
}
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format).
|
* @param {jspb.ByteSource} bytes The bytes to deserialize.
|
* @return {!proto.tensorflow.GraphDef}
|
*/
|
proto.tensorflow.GraphDef.deserializeBinary = function(bytes) {
|
var reader = new jspb.BinaryReader(bytes);
|
var msg = new proto.tensorflow.GraphDef;
|
return proto.tensorflow.GraphDef.deserializeBinaryFromReader(msg, reader);
|
};
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format) from the
|
* given reader into the given message object.
|
* @param {!proto.tensorflow.GraphDef} msg The message object to deserialize into.
|
* @param {!jspb.BinaryReader} reader The BinaryReader to use.
|
* @return {!proto.tensorflow.GraphDef}
|
*/
|
proto.tensorflow.GraphDef.deserializeBinaryFromReader = function(msg, reader) {
|
while (reader.nextField()) {
|
if (reader.isEndGroup()) {
|
break;
|
}
|
var field = reader.getFieldNumber();
|
switch (field) {
|
case 1:
|
var value = new proto.tensorflow.NodeDef;
|
reader.readMessage(value,proto.tensorflow.NodeDef.deserializeBinaryFromReader);
|
msg.addNode(value);
|
break;
|
case 4:
|
var value = new proto.tensorflow.VersionDef;
|
reader.readMessage(value,proto.tensorflow.VersionDef.deserializeBinaryFromReader);
|
msg.setVersions(value);
|
break;
|
case 2:
|
var value = new proto.tensorflow.FunctionDefLibrary;
|
reader.readMessage(value,proto.tensorflow.FunctionDefLibrary.deserializeBinaryFromReader);
|
msg.setLibrary(value);
|
break;
|
default:
|
reader.skipField();
|
break;
|
}
|
}
|
return msg;
|
};
|
|
|
/**
|
* Serializes the message to binary data (in protobuf wire format).
|
* @return {!Uint8Array}
|
*/
|
proto.tensorflow.GraphDef.prototype.serializeBinary = function() {
|
var writer = new jspb.BinaryWriter();
|
proto.tensorflow.GraphDef.serializeBinaryToWriter(this, writer);
|
return writer.getResultBuffer();
|
};
|
|
|
/**
|
* Serializes the given message to binary data (in protobuf wire
|
* format), writing to the given BinaryWriter.
|
* @param {!proto.tensorflow.GraphDef} message
|
* @param {!jspb.BinaryWriter} writer
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.GraphDef.serializeBinaryToWriter = function(message, writer) {
|
var f = undefined;
|
f = message.getNodeList();
|
if (f.length > 0) {
|
writer.writeRepeatedMessage(
|
1,
|
f,
|
proto.tensorflow.NodeDef.serializeBinaryToWriter
|
);
|
}
|
f = message.getVersions();
|
if (f != null) {
|
writer.writeMessage(
|
4,
|
f,
|
proto.tensorflow.VersionDef.serializeBinaryToWriter
|
);
|
}
|
f = message.getLibrary();
|
if (f != null) {
|
writer.writeMessage(
|
2,
|
f,
|
proto.tensorflow.FunctionDefLibrary.serializeBinaryToWriter
|
);
|
}
|
};
|
|
|
/**
|
* repeated NodeDef node = 1;
|
* @return {!Array<!proto.tensorflow.NodeDef>}
|
*/
|
proto.tensorflow.GraphDef.prototype.getNodeList = function() {
|
return /** @type{!Array<!proto.tensorflow.NodeDef>} */ (
|
jspb.Message.getRepeatedWrapperField(this, proto.tensorflow.NodeDef, 1));
|
};
|
|
|
/**
|
* @param {!Array<!proto.tensorflow.NodeDef>} value
|
* @return {!proto.tensorflow.GraphDef} returns this
|
*/
|
proto.tensorflow.GraphDef.prototype.setNodeList = function(value) {
|
return jspb.Message.setRepeatedWrapperField(this, 1, value);
|
};
|
|
|
/**
|
* @param {!proto.tensorflow.NodeDef=} opt_value
|
* @param {number=} opt_index
|
* @return {!proto.tensorflow.NodeDef}
|
*/
|
proto.tensorflow.GraphDef.prototype.addNode = function(opt_value, opt_index) {
|
return jspb.Message.addToRepeatedWrapperField(this, 1, opt_value, proto.tensorflow.NodeDef, opt_index);
|
};
|
|
|
/**
|
* Clears the list making it empty but non-null.
|
* @return {!proto.tensorflow.GraphDef} returns this
|
*/
|
proto.tensorflow.GraphDef.prototype.clearNodeList = function() {
|
return this.setNodeList([]);
|
};
|
|
|
/**
|
* optional VersionDef versions = 4;
|
* @return {?proto.tensorflow.VersionDef}
|
*/
|
proto.tensorflow.GraphDef.prototype.getVersions = function() {
|
return /** @type{?proto.tensorflow.VersionDef} */ (
|
jspb.Message.getWrapperField(this, proto.tensorflow.VersionDef, 4));
|
};
|
|
|
/**
|
* @param {?proto.tensorflow.VersionDef|undefined} value
|
* @return {!proto.tensorflow.GraphDef} returns this
|
*/
|
proto.tensorflow.GraphDef.prototype.setVersions = function(value) {
|
return jspb.Message.setWrapperField(this, 4, value);
|
};
|
|
|
/**
|
* Clears the message field making it undefined.
|
* @return {!proto.tensorflow.GraphDef} returns this
|
*/
|
proto.tensorflow.GraphDef.prototype.clearVersions = function() {
|
return this.setVersions(undefined);
|
};
|
|
|
/**
|
* Returns whether this field is set.
|
* @return {boolean}
|
*/
|
proto.tensorflow.GraphDef.prototype.hasVersions = function() {
|
return jspb.Message.getField(this, 4) != null;
|
};
|
|
|
/**
|
* optional FunctionDefLibrary library = 2;
|
* @return {?proto.tensorflow.FunctionDefLibrary}
|
*/
|
proto.tensorflow.GraphDef.prototype.getLibrary = function() {
|
return /** @type{?proto.tensorflow.FunctionDefLibrary} */ (
|
jspb.Message.getWrapperField(this, proto.tensorflow.FunctionDefLibrary, 2));
|
};
|
|
|
/**
|
* @param {?proto.tensorflow.FunctionDefLibrary|undefined} value
|
* @return {!proto.tensorflow.GraphDef} returns this
|
*/
|
proto.tensorflow.GraphDef.prototype.setLibrary = function(value) {
|
return jspb.Message.setWrapperField(this, 2, value);
|
};
|
|
|
/**
|
* Clears the message field making it undefined.
|
* @return {!proto.tensorflow.GraphDef} returns this
|
*/
|
proto.tensorflow.GraphDef.prototype.clearLibrary = function() {
|
return this.setLibrary(undefined);
|
};
|
|
|
/**
|
* Returns whether this field is set.
|
* @return {boolean}
|
*/
|
proto.tensorflow.GraphDef.prototype.hasLibrary = function() {
|
return jspb.Message.getField(this, 2) != null;
|
};
|
|
|
|
/**
|
* Oneof group definitions for this message. Each group defines the field
|
* numbers belonging to that group. When of these fields' value is set, all
|
* other fields in the group are cleared. During deserialization, if multiple
|
* fields are encountered for a group, only the last value seen will be kept.
|
* @private {!Array<!Array<number>>}
|
* @const
|
*/
|
proto.tensorflow.CollectionDef.oneofGroups_ = [[1,2,3,4,5]];
|
|
/**
|
* @enum {number}
|
*/
|
proto.tensorflow.CollectionDef.KindCase = {
|
KIND_NOT_SET: 0,
|
NODE_LIST: 1,
|
BYTES_LIST: 2,
|
INT64_LIST: 3,
|
FLOAT_LIST: 4,
|
ANY_LIST: 5
|
};
|
|
/**
|
* @return {proto.tensorflow.CollectionDef.KindCase}
|
*/
|
proto.tensorflow.CollectionDef.prototype.getKindCase = function() {
|
return /** @type {proto.tensorflow.CollectionDef.KindCase} */(jspb.Message.computeOneofCase(this, proto.tensorflow.CollectionDef.oneofGroups_[0]));
|
};
|
|
|
|
if (jspb.Message.GENERATE_TO_OBJECT) {
|
/**
|
* Creates an object representation of this proto.
|
* Field names that are reserved in JavaScript and will be renamed to pb_name.
|
* Optional fields that are not set will be set to undefined.
|
* To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
|
* For the list of reserved names please see:
|
* net/proto2/compiler/js/internal/generator.cc#kKeyword.
|
* @param {boolean=} opt_includeInstance Deprecated. whether to include the
|
* JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @return {!Object}
|
*/
|
proto.tensorflow.CollectionDef.prototype.toObject = function(opt_includeInstance) {
|
return proto.tensorflow.CollectionDef.toObject(opt_includeInstance, this);
|
};
|
|
|
/**
|
* Static version of the {@see toObject} method.
|
* @param {boolean|undefined} includeInstance Deprecated. Whether to include
|
* the JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @param {!proto.tensorflow.CollectionDef} msg The msg instance to transform.
|
* @return {!Object}
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.CollectionDef.toObject = function(includeInstance, msg) {
|
var f, obj = {
|
nodeList: (f = msg.getNodeList()) && proto.tensorflow.CollectionDef.NodeList.toObject(includeInstance, f),
|
bytesList: (f = msg.getBytesList()) && proto.tensorflow.CollectionDef.BytesList.toObject(includeInstance, f),
|
int64List: (f = msg.getInt64List()) && proto.tensorflow.CollectionDef.Int64List.toObject(includeInstance, f),
|
floatList: (f = msg.getFloatList()) && proto.tensorflow.CollectionDef.FloatList.toObject(includeInstance, f),
|
anyList: (f = msg.getAnyList()) && proto.tensorflow.CollectionDef.AnyList.toObject(includeInstance, f)
|
};
|
|
if (includeInstance) {
|
obj.$jspbMessageInstance = msg;
|
}
|
return obj;
|
};
|
}
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format).
|
* @param {jspb.ByteSource} bytes The bytes to deserialize.
|
* @return {!proto.tensorflow.CollectionDef}
|
*/
|
proto.tensorflow.CollectionDef.deserializeBinary = function(bytes) {
|
var reader = new jspb.BinaryReader(bytes);
|
var msg = new proto.tensorflow.CollectionDef;
|
return proto.tensorflow.CollectionDef.deserializeBinaryFromReader(msg, reader);
|
};
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format) from the
|
* given reader into the given message object.
|
* @param {!proto.tensorflow.CollectionDef} msg The message object to deserialize into.
|
* @param {!jspb.BinaryReader} reader The BinaryReader to use.
|
* @return {!proto.tensorflow.CollectionDef}
|
*/
|
proto.tensorflow.CollectionDef.deserializeBinaryFromReader = function(msg, reader) {
|
while (reader.nextField()) {
|
if (reader.isEndGroup()) {
|
break;
|
}
|
var field = reader.getFieldNumber();
|
switch (field) {
|
case 1:
|
var value = new proto.tensorflow.CollectionDef.NodeList;
|
reader.readMessage(value,proto.tensorflow.CollectionDef.NodeList.deserializeBinaryFromReader);
|
msg.setNodeList(value);
|
break;
|
case 2:
|
var value = new proto.tensorflow.CollectionDef.BytesList;
|
reader.readMessage(value,proto.tensorflow.CollectionDef.BytesList.deserializeBinaryFromReader);
|
msg.setBytesList(value);
|
break;
|
case 3:
|
var value = new proto.tensorflow.CollectionDef.Int64List;
|
reader.readMessage(value,proto.tensorflow.CollectionDef.Int64List.deserializeBinaryFromReader);
|
msg.setInt64List(value);
|
break;
|
case 4:
|
var value = new proto.tensorflow.CollectionDef.FloatList;
|
reader.readMessage(value,proto.tensorflow.CollectionDef.FloatList.deserializeBinaryFromReader);
|
msg.setFloatList(value);
|
break;
|
case 5:
|
var value = new proto.tensorflow.CollectionDef.AnyList;
|
reader.readMessage(value,proto.tensorflow.CollectionDef.AnyList.deserializeBinaryFromReader);
|
msg.setAnyList(value);
|
break;
|
default:
|
reader.skipField();
|
break;
|
}
|
}
|
return msg;
|
};
|
|
|
/**
|
* Serializes the message to binary data (in protobuf wire format).
|
* @return {!Uint8Array}
|
*/
|
proto.tensorflow.CollectionDef.prototype.serializeBinary = function() {
|
var writer = new jspb.BinaryWriter();
|
proto.tensorflow.CollectionDef.serializeBinaryToWriter(this, writer);
|
return writer.getResultBuffer();
|
};
|
|
|
/**
|
* Serializes the given message to binary data (in protobuf wire
|
* format), writing to the given BinaryWriter.
|
* @param {!proto.tensorflow.CollectionDef} message
|
* @param {!jspb.BinaryWriter} writer
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.CollectionDef.serializeBinaryToWriter = function(message, writer) {
|
var f = undefined;
|
f = message.getNodeList();
|
if (f != null) {
|
writer.writeMessage(
|
1,
|
f,
|
proto.tensorflow.CollectionDef.NodeList.serializeBinaryToWriter
|
);
|
}
|
f = message.getBytesList();
|
if (f != null) {
|
writer.writeMessage(
|
2,
|
f,
|
proto.tensorflow.CollectionDef.BytesList.serializeBinaryToWriter
|
);
|
}
|
f = message.getInt64List();
|
if (f != null) {
|
writer.writeMessage(
|
3,
|
f,
|
proto.tensorflow.CollectionDef.Int64List.serializeBinaryToWriter
|
);
|
}
|
f = message.getFloatList();
|
if (f != null) {
|
writer.writeMessage(
|
4,
|
f,
|
proto.tensorflow.CollectionDef.FloatList.serializeBinaryToWriter
|
);
|
}
|
f = message.getAnyList();
|
if (f != null) {
|
writer.writeMessage(
|
5,
|
f,
|
proto.tensorflow.CollectionDef.AnyList.serializeBinaryToWriter
|
);
|
}
|
};
|
|
|
|
/**
|
* List of repeated fields within this message type.
|
* @private {!Array<number>}
|
* @const
|
*/
|
proto.tensorflow.CollectionDef.NodeList.repeatedFields_ = [1];
|
|
|
|
if (jspb.Message.GENERATE_TO_OBJECT) {
|
/**
|
* Creates an object representation of this proto.
|
* Field names that are reserved in JavaScript and will be renamed to pb_name.
|
* Optional fields that are not set will be set to undefined.
|
* To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
|
* For the list of reserved names please see:
|
* net/proto2/compiler/js/internal/generator.cc#kKeyword.
|
* @param {boolean=} opt_includeInstance Deprecated. whether to include the
|
* JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @return {!Object}
|
*/
|
proto.tensorflow.CollectionDef.NodeList.prototype.toObject = function(opt_includeInstance) {
|
return proto.tensorflow.CollectionDef.NodeList.toObject(opt_includeInstance, this);
|
};
|
|
|
/**
|
* Static version of the {@see toObject} method.
|
* @param {boolean|undefined} includeInstance Deprecated. Whether to include
|
* the JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @param {!proto.tensorflow.CollectionDef.NodeList} msg The msg instance to transform.
|
* @return {!Object}
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.CollectionDef.NodeList.toObject = function(includeInstance, msg) {
|
var f, obj = {
|
valueList: (f = jspb.Message.getRepeatedField(msg, 1)) == null ? undefined : f
|
};
|
|
if (includeInstance) {
|
obj.$jspbMessageInstance = msg;
|
}
|
return obj;
|
};
|
}
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format).
|
* @param {jspb.ByteSource} bytes The bytes to deserialize.
|
* @return {!proto.tensorflow.CollectionDef.NodeList}
|
*/
|
proto.tensorflow.CollectionDef.NodeList.deserializeBinary = function(bytes) {
|
var reader = new jspb.BinaryReader(bytes);
|
var msg = new proto.tensorflow.CollectionDef.NodeList;
|
return proto.tensorflow.CollectionDef.NodeList.deserializeBinaryFromReader(msg, reader);
|
};
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format) from the
|
* given reader into the given message object.
|
* @param {!proto.tensorflow.CollectionDef.NodeList} msg The message object to deserialize into.
|
* @param {!jspb.BinaryReader} reader The BinaryReader to use.
|
* @return {!proto.tensorflow.CollectionDef.NodeList}
|
*/
|
proto.tensorflow.CollectionDef.NodeList.deserializeBinaryFromReader = function(msg, reader) {
|
while (reader.nextField()) {
|
if (reader.isEndGroup()) {
|
break;
|
}
|
var field = reader.getFieldNumber();
|
switch (field) {
|
case 1:
|
var value = /** @type {string} */ (reader.readString());
|
msg.addValue(value);
|
break;
|
default:
|
reader.skipField();
|
break;
|
}
|
}
|
return msg;
|
};
|
|
|
/**
|
* Serializes the message to binary data (in protobuf wire format).
|
* @return {!Uint8Array}
|
*/
|
proto.tensorflow.CollectionDef.NodeList.prototype.serializeBinary = function() {
|
var writer = new jspb.BinaryWriter();
|
proto.tensorflow.CollectionDef.NodeList.serializeBinaryToWriter(this, writer);
|
return writer.getResultBuffer();
|
};
|
|
|
/**
|
* Serializes the given message to binary data (in protobuf wire
|
* format), writing to the given BinaryWriter.
|
* @param {!proto.tensorflow.CollectionDef.NodeList} message
|
* @param {!jspb.BinaryWriter} writer
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.CollectionDef.NodeList.serializeBinaryToWriter = function(message, writer) {
|
var f = undefined;
|
f = message.getValueList();
|
if (f.length > 0) {
|
writer.writeRepeatedString(
|
1,
|
f
|
);
|
}
|
};
|
|
|
/**
|
* repeated string value = 1;
|
* @return {!Array<string>}
|
*/
|
proto.tensorflow.CollectionDef.NodeList.prototype.getValueList = function() {
|
return /** @type {!Array<string>} */ (jspb.Message.getRepeatedField(this, 1));
|
};
|
|
|
/**
|
* @param {!Array<string>} value
|
* @return {!proto.tensorflow.CollectionDef.NodeList} returns this
|
*/
|
proto.tensorflow.CollectionDef.NodeList.prototype.setValueList = function(value) {
|
return jspb.Message.setField(this, 1, value || []);
|
};
|
|
|
/**
|
* @param {string} value
|
* @param {number=} opt_index
|
* @return {!proto.tensorflow.CollectionDef.NodeList} returns this
|
*/
|
proto.tensorflow.CollectionDef.NodeList.prototype.addValue = function(value, opt_index) {
|
return jspb.Message.addToRepeatedField(this, 1, value, opt_index);
|
};
|
|
|
/**
|
* Clears the list making it empty but non-null.
|
* @return {!proto.tensorflow.CollectionDef.NodeList} returns this
|
*/
|
proto.tensorflow.CollectionDef.NodeList.prototype.clearValueList = function() {
|
return this.setValueList([]);
|
};
|
|
|
|
/**
|
* List of repeated fields within this message type.
|
* @private {!Array<number>}
|
* @const
|
*/
|
proto.tensorflow.CollectionDef.BytesList.repeatedFields_ = [1];
|
|
|
|
if (jspb.Message.GENERATE_TO_OBJECT) {
|
/**
|
* Creates an object representation of this proto.
|
* Field names that are reserved in JavaScript and will be renamed to pb_name.
|
* Optional fields that are not set will be set to undefined.
|
* To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
|
* For the list of reserved names please see:
|
* net/proto2/compiler/js/internal/generator.cc#kKeyword.
|
* @param {boolean=} opt_includeInstance Deprecated. whether to include the
|
* JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @return {!Object}
|
*/
|
proto.tensorflow.CollectionDef.BytesList.prototype.toObject = function(opt_includeInstance) {
|
return proto.tensorflow.CollectionDef.BytesList.toObject(opt_includeInstance, this);
|
};
|
|
|
/**
|
* Static version of the {@see toObject} method.
|
* @param {boolean|undefined} includeInstance Deprecated. Whether to include
|
* the JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @param {!proto.tensorflow.CollectionDef.BytesList} msg The msg instance to transform.
|
* @return {!Object}
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.CollectionDef.BytesList.toObject = function(includeInstance, msg) {
|
var f, obj = {
|
valueList: msg.getValueList_asB64()
|
};
|
|
if (includeInstance) {
|
obj.$jspbMessageInstance = msg;
|
}
|
return obj;
|
};
|
}
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format).
|
* @param {jspb.ByteSource} bytes The bytes to deserialize.
|
* @return {!proto.tensorflow.CollectionDef.BytesList}
|
*/
|
proto.tensorflow.CollectionDef.BytesList.deserializeBinary = function(bytes) {
|
var reader = new jspb.BinaryReader(bytes);
|
var msg = new proto.tensorflow.CollectionDef.BytesList;
|
return proto.tensorflow.CollectionDef.BytesList.deserializeBinaryFromReader(msg, reader);
|
};
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format) from the
|
* given reader into the given message object.
|
* @param {!proto.tensorflow.CollectionDef.BytesList} msg The message object to deserialize into.
|
* @param {!jspb.BinaryReader} reader The BinaryReader to use.
|
* @return {!proto.tensorflow.CollectionDef.BytesList}
|
*/
|
proto.tensorflow.CollectionDef.BytesList.deserializeBinaryFromReader = function(msg, reader) {
|
while (reader.nextField()) {
|
if (reader.isEndGroup()) {
|
break;
|
}
|
var field = reader.getFieldNumber();
|
switch (field) {
|
case 1:
|
var value = /** @type {!Uint8Array} */ (reader.readBytes());
|
msg.addValue(value);
|
break;
|
default:
|
reader.skipField();
|
break;
|
}
|
}
|
return msg;
|
};
|
|
|
/**
|
* Serializes the message to binary data (in protobuf wire format).
|
* @return {!Uint8Array}
|
*/
|
proto.tensorflow.CollectionDef.BytesList.prototype.serializeBinary = function() {
|
var writer = new jspb.BinaryWriter();
|
proto.tensorflow.CollectionDef.BytesList.serializeBinaryToWriter(this, writer);
|
return writer.getResultBuffer();
|
};
|
|
|
/**
|
* Serializes the given message to binary data (in protobuf wire
|
* format), writing to the given BinaryWriter.
|
* @param {!proto.tensorflow.CollectionDef.BytesList} message
|
* @param {!jspb.BinaryWriter} writer
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.CollectionDef.BytesList.serializeBinaryToWriter = function(message, writer) {
|
var f = undefined;
|
f = message.getValueList_asU8();
|
if (f.length > 0) {
|
writer.writeRepeatedBytes(
|
1,
|
f
|
);
|
}
|
};
|
|
|
/**
|
* repeated bytes value = 1;
|
* @return {!(Array<!Uint8Array>|Array<string>)}
|
*/
|
proto.tensorflow.CollectionDef.BytesList.prototype.getValueList = function() {
|
return /** @type {!(Array<!Uint8Array>|Array<string>)} */ (jspb.Message.getRepeatedField(this, 1));
|
};
|
|
|
/**
|
* repeated bytes value = 1;
|
* This is a type-conversion wrapper around `getValueList()`
|
* @return {!Array<string>}
|
*/
|
proto.tensorflow.CollectionDef.BytesList.prototype.getValueList_asB64 = function() {
|
return /** @type {!Array<string>} */ (jspb.Message.bytesListAsB64(
|
this.getValueList()));
|
};
|
|
|
/**
|
* repeated bytes value = 1;
|
* Note that Uint8Array is not supported on all browsers.
|
* @see http://caniuse.com/Uint8Array
|
* This is a type-conversion wrapper around `getValueList()`
|
* @return {!Array<!Uint8Array>}
|
*/
|
proto.tensorflow.CollectionDef.BytesList.prototype.getValueList_asU8 = function() {
|
return /** @type {!Array<!Uint8Array>} */ (jspb.Message.bytesListAsU8(
|
this.getValueList()));
|
};
|
|
|
/**
|
* @param {!(Array<!Uint8Array>|Array<string>)} value
|
* @return {!proto.tensorflow.CollectionDef.BytesList} returns this
|
*/
|
proto.tensorflow.CollectionDef.BytesList.prototype.setValueList = function(value) {
|
return jspb.Message.setField(this, 1, value || []);
|
};
|
|
|
/**
|
* @param {!(string|Uint8Array)} value
|
* @param {number=} opt_index
|
* @return {!proto.tensorflow.CollectionDef.BytesList} returns this
|
*/
|
proto.tensorflow.CollectionDef.BytesList.prototype.addValue = function(value, opt_index) {
|
return jspb.Message.addToRepeatedField(this, 1, value, opt_index);
|
};
|
|
|
/**
|
* Clears the list making it empty but non-null.
|
* @return {!proto.tensorflow.CollectionDef.BytesList} returns this
|
*/
|
proto.tensorflow.CollectionDef.BytesList.prototype.clearValueList = function() {
|
return this.setValueList([]);
|
};
|
|
|
|
/**
|
* List of repeated fields within this message type.
|
* @private {!Array<number>}
|
* @const
|
*/
|
proto.tensorflow.CollectionDef.Int64List.repeatedFields_ = [1];
|
|
|
|
if (jspb.Message.GENERATE_TO_OBJECT) {
|
/**
|
* Creates an object representation of this proto.
|
* Field names that are reserved in JavaScript and will be renamed to pb_name.
|
* Optional fields that are not set will be set to undefined.
|
* To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
|
* For the list of reserved names please see:
|
* net/proto2/compiler/js/internal/generator.cc#kKeyword.
|
* @param {boolean=} opt_includeInstance Deprecated. whether to include the
|
* JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @return {!Object}
|
*/
|
proto.tensorflow.CollectionDef.Int64List.prototype.toObject = function(opt_includeInstance) {
|
return proto.tensorflow.CollectionDef.Int64List.toObject(opt_includeInstance, this);
|
};
|
|
|
/**
|
* Static version of the {@see toObject} method.
|
* @param {boolean|undefined} includeInstance Deprecated. Whether to include
|
* the JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @param {!proto.tensorflow.CollectionDef.Int64List} msg The msg instance to transform.
|
* @return {!Object}
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.CollectionDef.Int64List.toObject = function(includeInstance, msg) {
|
var f, obj = {
|
valueList: (f = jspb.Message.getRepeatedField(msg, 1)) == null ? undefined : f
|
};
|
|
if (includeInstance) {
|
obj.$jspbMessageInstance = msg;
|
}
|
return obj;
|
};
|
}
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format).
|
* @param {jspb.ByteSource} bytes The bytes to deserialize.
|
* @return {!proto.tensorflow.CollectionDef.Int64List}
|
*/
|
proto.tensorflow.CollectionDef.Int64List.deserializeBinary = function(bytes) {
|
var reader = new jspb.BinaryReader(bytes);
|
var msg = new proto.tensorflow.CollectionDef.Int64List;
|
return proto.tensorflow.CollectionDef.Int64List.deserializeBinaryFromReader(msg, reader);
|
};
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format) from the
|
* given reader into the given message object.
|
* @param {!proto.tensorflow.CollectionDef.Int64List} msg The message object to deserialize into.
|
* @param {!jspb.BinaryReader} reader The BinaryReader to use.
|
* @return {!proto.tensorflow.CollectionDef.Int64List}
|
*/
|
proto.tensorflow.CollectionDef.Int64List.deserializeBinaryFromReader = function(msg, reader) {
|
while (reader.nextField()) {
|
if (reader.isEndGroup()) {
|
break;
|
}
|
var field = reader.getFieldNumber();
|
switch (field) {
|
case 1:
|
var values = /** @type {!Array<number>} */ (reader.isDelimited() ? reader.readPackedInt64() : [reader.readInt64()]);
|
for (var i = 0; i < values.length; i++) {
|
msg.addValue(values[i]);
|
}
|
break;
|
default:
|
reader.skipField();
|
break;
|
}
|
}
|
return msg;
|
};
|
|
|
/**
|
* Serializes the message to binary data (in protobuf wire format).
|
* @return {!Uint8Array}
|
*/
|
proto.tensorflow.CollectionDef.Int64List.prototype.serializeBinary = function() {
|
var writer = new jspb.BinaryWriter();
|
proto.tensorflow.CollectionDef.Int64List.serializeBinaryToWriter(this, writer);
|
return writer.getResultBuffer();
|
};
|
|
|
/**
|
* Serializes the given message to binary data (in protobuf wire
|
* format), writing to the given BinaryWriter.
|
* @param {!proto.tensorflow.CollectionDef.Int64List} message
|
* @param {!jspb.BinaryWriter} writer
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.CollectionDef.Int64List.serializeBinaryToWriter = function(message, writer) {
|
var f = undefined;
|
f = message.getValueList();
|
if (f.length > 0) {
|
writer.writePackedInt64(
|
1,
|
f
|
);
|
}
|
};
|
|
|
/**
|
* repeated int64 value = 1;
|
* @return {!Array<number>}
|
*/
|
proto.tensorflow.CollectionDef.Int64List.prototype.getValueList = function() {
|
return /** @type {!Array<number>} */ (jspb.Message.getRepeatedField(this, 1));
|
};
|
|
|
/**
|
* @param {!Array<number>} value
|
* @return {!proto.tensorflow.CollectionDef.Int64List} returns this
|
*/
|
proto.tensorflow.CollectionDef.Int64List.prototype.setValueList = function(value) {
|
return jspb.Message.setField(this, 1, value || []);
|
};
|
|
|
/**
|
* @param {number} value
|
* @param {number=} opt_index
|
* @return {!proto.tensorflow.CollectionDef.Int64List} returns this
|
*/
|
proto.tensorflow.CollectionDef.Int64List.prototype.addValue = function(value, opt_index) {
|
return jspb.Message.addToRepeatedField(this, 1, value, opt_index);
|
};
|
|
|
/**
|
* Clears the list making it empty but non-null.
|
* @return {!proto.tensorflow.CollectionDef.Int64List} returns this
|
*/
|
proto.tensorflow.CollectionDef.Int64List.prototype.clearValueList = function() {
|
return this.setValueList([]);
|
};
|
|
|
|
/**
|
* List of repeated fields within this message type.
|
* @private {!Array<number>}
|
* @const
|
*/
|
proto.tensorflow.CollectionDef.FloatList.repeatedFields_ = [1];
|
|
|
|
if (jspb.Message.GENERATE_TO_OBJECT) {
|
/**
|
* Creates an object representation of this proto.
|
* Field names that are reserved in JavaScript and will be renamed to pb_name.
|
* Optional fields that are not set will be set to undefined.
|
* To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
|
* For the list of reserved names please see:
|
* net/proto2/compiler/js/internal/generator.cc#kKeyword.
|
* @param {boolean=} opt_includeInstance Deprecated. whether to include the
|
* JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @return {!Object}
|
*/
|
proto.tensorflow.CollectionDef.FloatList.prototype.toObject = function(opt_includeInstance) {
|
return proto.tensorflow.CollectionDef.FloatList.toObject(opt_includeInstance, this);
|
};
|
|
|
/**
|
* Static version of the {@see toObject} method.
|
* @param {boolean|undefined} includeInstance Deprecated. Whether to include
|
* the JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @param {!proto.tensorflow.CollectionDef.FloatList} msg The msg instance to transform.
|
* @return {!Object}
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.CollectionDef.FloatList.toObject = function(includeInstance, msg) {
|
var f, obj = {
|
valueList: (f = jspb.Message.getRepeatedFloatingPointField(msg, 1)) == null ? undefined : f
|
};
|
|
if (includeInstance) {
|
obj.$jspbMessageInstance = msg;
|
}
|
return obj;
|
};
|
}
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format).
|
* @param {jspb.ByteSource} bytes The bytes to deserialize.
|
* @return {!proto.tensorflow.CollectionDef.FloatList}
|
*/
|
proto.tensorflow.CollectionDef.FloatList.deserializeBinary = function(bytes) {
|
var reader = new jspb.BinaryReader(bytes);
|
var msg = new proto.tensorflow.CollectionDef.FloatList;
|
return proto.tensorflow.CollectionDef.FloatList.deserializeBinaryFromReader(msg, reader);
|
};
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format) from the
|
* given reader into the given message object.
|
* @param {!proto.tensorflow.CollectionDef.FloatList} msg The message object to deserialize into.
|
* @param {!jspb.BinaryReader} reader The BinaryReader to use.
|
* @return {!proto.tensorflow.CollectionDef.FloatList}
|
*/
|
proto.tensorflow.CollectionDef.FloatList.deserializeBinaryFromReader = function(msg, reader) {
|
while (reader.nextField()) {
|
if (reader.isEndGroup()) {
|
break;
|
}
|
var field = reader.getFieldNumber();
|
switch (field) {
|
case 1:
|
var values = /** @type {!Array<number>} */ (reader.isDelimited() ? reader.readPackedFloat() : [reader.readFloat()]);
|
for (var i = 0; i < values.length; i++) {
|
msg.addValue(values[i]);
|
}
|
break;
|
default:
|
reader.skipField();
|
break;
|
}
|
}
|
return msg;
|
};
|
|
|
/**
|
* Serializes the message to binary data (in protobuf wire format).
|
* @return {!Uint8Array}
|
*/
|
proto.tensorflow.CollectionDef.FloatList.prototype.serializeBinary = function() {
|
var writer = new jspb.BinaryWriter();
|
proto.tensorflow.CollectionDef.FloatList.serializeBinaryToWriter(this, writer);
|
return writer.getResultBuffer();
|
};
|
|
|
/**
|
* Serializes the given message to binary data (in protobuf wire
|
* format), writing to the given BinaryWriter.
|
* @param {!proto.tensorflow.CollectionDef.FloatList} message
|
* @param {!jspb.BinaryWriter} writer
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.CollectionDef.FloatList.serializeBinaryToWriter = function(message, writer) {
|
var f = undefined;
|
f = message.getValueList();
|
if (f.length > 0) {
|
writer.writePackedFloat(
|
1,
|
f
|
);
|
}
|
};
|
|
|
/**
|
* repeated float value = 1;
|
* @return {!Array<number>}
|
*/
|
proto.tensorflow.CollectionDef.FloatList.prototype.getValueList = function() {
|
return /** @type {!Array<number>} */ (jspb.Message.getRepeatedFloatingPointField(this, 1));
|
};
|
|
|
/**
|
* @param {!Array<number>} value
|
* @return {!proto.tensorflow.CollectionDef.FloatList} returns this
|
*/
|
proto.tensorflow.CollectionDef.FloatList.prototype.setValueList = function(value) {
|
return jspb.Message.setField(this, 1, value || []);
|
};
|
|
|
/**
|
* @param {number} value
|
* @param {number=} opt_index
|
* @return {!proto.tensorflow.CollectionDef.FloatList} returns this
|
*/
|
proto.tensorflow.CollectionDef.FloatList.prototype.addValue = function(value, opt_index) {
|
return jspb.Message.addToRepeatedField(this, 1, value, opt_index);
|
};
|
|
|
/**
|
* Clears the list making it empty but non-null.
|
* @return {!proto.tensorflow.CollectionDef.FloatList} returns this
|
*/
|
proto.tensorflow.CollectionDef.FloatList.prototype.clearValueList = function() {
|
return this.setValueList([]);
|
};
|
|
|
|
/**
|
* List of repeated fields within this message type.
|
* @private {!Array<number>}
|
* @const
|
*/
|
proto.tensorflow.CollectionDef.AnyList.repeatedFields_ = [1];
|
|
|
|
if (jspb.Message.GENERATE_TO_OBJECT) {
|
/**
|
* Creates an object representation of this proto.
|
* Field names that are reserved in JavaScript and will be renamed to pb_name.
|
* Optional fields that are not set will be set to undefined.
|
* To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
|
* For the list of reserved names please see:
|
* net/proto2/compiler/js/internal/generator.cc#kKeyword.
|
* @param {boolean=} opt_includeInstance Deprecated. whether to include the
|
* JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @return {!Object}
|
*/
|
proto.tensorflow.CollectionDef.AnyList.prototype.toObject = function(opt_includeInstance) {
|
return proto.tensorflow.CollectionDef.AnyList.toObject(opt_includeInstance, this);
|
};
|
|
|
/**
|
* Static version of the {@see toObject} method.
|
* @param {boolean|undefined} includeInstance Deprecated. Whether to include
|
* the JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @param {!proto.tensorflow.CollectionDef.AnyList} msg The msg instance to transform.
|
* @return {!Object}
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.CollectionDef.AnyList.toObject = function(includeInstance, msg) {
|
var f, obj = {
|
valueList: jspb.Message.toObjectList(msg.getValueList(),
|
proto.tensorflow.Any.toObject, includeInstance)
|
};
|
|
if (includeInstance) {
|
obj.$jspbMessageInstance = msg;
|
}
|
return obj;
|
};
|
}
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format).
|
* @param {jspb.ByteSource} bytes The bytes to deserialize.
|
* @return {!proto.tensorflow.CollectionDef.AnyList}
|
*/
|
proto.tensorflow.CollectionDef.AnyList.deserializeBinary = function(bytes) {
|
var reader = new jspb.BinaryReader(bytes);
|
var msg = new proto.tensorflow.CollectionDef.AnyList;
|
return proto.tensorflow.CollectionDef.AnyList.deserializeBinaryFromReader(msg, reader);
|
};
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format) from the
|
* given reader into the given message object.
|
* @param {!proto.tensorflow.CollectionDef.AnyList} msg The message object to deserialize into.
|
* @param {!jspb.BinaryReader} reader The BinaryReader to use.
|
* @return {!proto.tensorflow.CollectionDef.AnyList}
|
*/
|
proto.tensorflow.CollectionDef.AnyList.deserializeBinaryFromReader = function(msg, reader) {
|
while (reader.nextField()) {
|
if (reader.isEndGroup()) {
|
break;
|
}
|
var field = reader.getFieldNumber();
|
switch (field) {
|
case 1:
|
var value = new proto.tensorflow.Any;
|
reader.readMessage(value,proto.tensorflow.Any.deserializeBinaryFromReader);
|
msg.addValue(value);
|
break;
|
default:
|
reader.skipField();
|
break;
|
}
|
}
|
return msg;
|
};
|
|
|
/**
|
* Serializes the message to binary data (in protobuf wire format).
|
* @return {!Uint8Array}
|
*/
|
proto.tensorflow.CollectionDef.AnyList.prototype.serializeBinary = function() {
|
var writer = new jspb.BinaryWriter();
|
proto.tensorflow.CollectionDef.AnyList.serializeBinaryToWriter(this, writer);
|
return writer.getResultBuffer();
|
};
|
|
|
/**
|
* Serializes the given message to binary data (in protobuf wire
|
* format), writing to the given BinaryWriter.
|
* @param {!proto.tensorflow.CollectionDef.AnyList} message
|
* @param {!jspb.BinaryWriter} writer
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.CollectionDef.AnyList.serializeBinaryToWriter = function(message, writer) {
|
var f = undefined;
|
f = message.getValueList();
|
if (f.length > 0) {
|
writer.writeRepeatedMessage(
|
1,
|
f,
|
proto.tensorflow.Any.serializeBinaryToWriter
|
);
|
}
|
};
|
|
|
/**
|
* repeated Any value = 1;
|
* @return {!Array<!proto.tensorflow.Any>}
|
*/
|
proto.tensorflow.CollectionDef.AnyList.prototype.getValueList = function() {
|
return /** @type{!Array<!proto.tensorflow.Any>} */ (
|
jspb.Message.getRepeatedWrapperField(this, proto.tensorflow.Any, 1));
|
};
|
|
|
/**
|
* @param {!Array<!proto.tensorflow.Any>} value
|
* @return {!proto.tensorflow.CollectionDef.AnyList} returns this
|
*/
|
proto.tensorflow.CollectionDef.AnyList.prototype.setValueList = function(value) {
|
return jspb.Message.setRepeatedWrapperField(this, 1, value);
|
};
|
|
|
/**
|
* @param {!proto.tensorflow.Any=} opt_value
|
* @param {number=} opt_index
|
* @return {!proto.tensorflow.Any}
|
*/
|
proto.tensorflow.CollectionDef.AnyList.prototype.addValue = function(opt_value, opt_index) {
|
return jspb.Message.addToRepeatedWrapperField(this, 1, opt_value, proto.tensorflow.Any, opt_index);
|
};
|
|
|
/**
|
* Clears the list making it empty but non-null.
|
* @return {!proto.tensorflow.CollectionDef.AnyList} returns this
|
*/
|
proto.tensorflow.CollectionDef.AnyList.prototype.clearValueList = function() {
|
return this.setValueList([]);
|
};
|
|
|
/**
|
* optional NodeList node_list = 1;
|
* @return {?proto.tensorflow.CollectionDef.NodeList}
|
*/
|
proto.tensorflow.CollectionDef.prototype.getNodeList = function() {
|
return /** @type{?proto.tensorflow.CollectionDef.NodeList} */ (
|
jspb.Message.getWrapperField(this, proto.tensorflow.CollectionDef.NodeList, 1));
|
};
|
|
|
/**
|
* @param {?proto.tensorflow.CollectionDef.NodeList|undefined} value
|
* @return {!proto.tensorflow.CollectionDef} returns this
|
*/
|
proto.tensorflow.CollectionDef.prototype.setNodeList = function(value) {
|
return jspb.Message.setOneofWrapperField(this, 1, proto.tensorflow.CollectionDef.oneofGroups_[0], value);
|
};
|
|
|
/**
|
* Clears the message field making it undefined.
|
* @return {!proto.tensorflow.CollectionDef} returns this
|
*/
|
proto.tensorflow.CollectionDef.prototype.clearNodeList = function() {
|
return this.setNodeList(undefined);
|
};
|
|
|
/**
|
* Returns whether this field is set.
|
* @return {boolean}
|
*/
|
proto.tensorflow.CollectionDef.prototype.hasNodeList = function() {
|
return jspb.Message.getField(this, 1) != null;
|
};
|
|
|
/**
|
* optional BytesList bytes_list = 2;
|
* @return {?proto.tensorflow.CollectionDef.BytesList}
|
*/
|
proto.tensorflow.CollectionDef.prototype.getBytesList = function() {
|
return /** @type{?proto.tensorflow.CollectionDef.BytesList} */ (
|
jspb.Message.getWrapperField(this, proto.tensorflow.CollectionDef.BytesList, 2));
|
};
|
|
|
/**
|
* @param {?proto.tensorflow.CollectionDef.BytesList|undefined} value
|
* @return {!proto.tensorflow.CollectionDef} returns this
|
*/
|
proto.tensorflow.CollectionDef.prototype.setBytesList = function(value) {
|
return jspb.Message.setOneofWrapperField(this, 2, proto.tensorflow.CollectionDef.oneofGroups_[0], value);
|
};
|
|
|
/**
|
* Clears the message field making it undefined.
|
* @return {!proto.tensorflow.CollectionDef} returns this
|
*/
|
proto.tensorflow.CollectionDef.prototype.clearBytesList = function() {
|
return this.setBytesList(undefined);
|
};
|
|
|
/**
|
* Returns whether this field is set.
|
* @return {boolean}
|
*/
|
proto.tensorflow.CollectionDef.prototype.hasBytesList = function() {
|
return jspb.Message.getField(this, 2) != null;
|
};
|
|
|
/**
|
* optional Int64List int64_list = 3;
|
* @return {?proto.tensorflow.CollectionDef.Int64List}
|
*/
|
proto.tensorflow.CollectionDef.prototype.getInt64List = function() {
|
return /** @type{?proto.tensorflow.CollectionDef.Int64List} */ (
|
jspb.Message.getWrapperField(this, proto.tensorflow.CollectionDef.Int64List, 3));
|
};
|
|
|
/**
|
* @param {?proto.tensorflow.CollectionDef.Int64List|undefined} value
|
* @return {!proto.tensorflow.CollectionDef} returns this
|
*/
|
proto.tensorflow.CollectionDef.prototype.setInt64List = function(value) {
|
return jspb.Message.setOneofWrapperField(this, 3, proto.tensorflow.CollectionDef.oneofGroups_[0], value);
|
};
|
|
|
/**
|
* Clears the message field making it undefined.
|
* @return {!proto.tensorflow.CollectionDef} returns this
|
*/
|
proto.tensorflow.CollectionDef.prototype.clearInt64List = function() {
|
return this.setInt64List(undefined);
|
};
|
|
|
/**
|
* Returns whether this field is set.
|
* @return {boolean}
|
*/
|
proto.tensorflow.CollectionDef.prototype.hasInt64List = function() {
|
return jspb.Message.getField(this, 3) != null;
|
};
|
|
|
/**
|
* optional FloatList float_list = 4;
|
* @return {?proto.tensorflow.CollectionDef.FloatList}
|
*/
|
proto.tensorflow.CollectionDef.prototype.getFloatList = function() {
|
return /** @type{?proto.tensorflow.CollectionDef.FloatList} */ (
|
jspb.Message.getWrapperField(this, proto.tensorflow.CollectionDef.FloatList, 4));
|
};
|
|
|
/**
|
* @param {?proto.tensorflow.CollectionDef.FloatList|undefined} value
|
* @return {!proto.tensorflow.CollectionDef} returns this
|
*/
|
proto.tensorflow.CollectionDef.prototype.setFloatList = function(value) {
|
return jspb.Message.setOneofWrapperField(this, 4, proto.tensorflow.CollectionDef.oneofGroups_[0], value);
|
};
|
|
|
/**
|
* Clears the message field making it undefined.
|
* @return {!proto.tensorflow.CollectionDef} returns this
|
*/
|
proto.tensorflow.CollectionDef.prototype.clearFloatList = function() {
|
return this.setFloatList(undefined);
|
};
|
|
|
/**
|
* Returns whether this field is set.
|
* @return {boolean}
|
*/
|
proto.tensorflow.CollectionDef.prototype.hasFloatList = function() {
|
return jspb.Message.getField(this, 4) != null;
|
};
|
|
|
/**
|
* optional AnyList any_list = 5;
|
* @return {?proto.tensorflow.CollectionDef.AnyList}
|
*/
|
proto.tensorflow.CollectionDef.prototype.getAnyList = function() {
|
return /** @type{?proto.tensorflow.CollectionDef.AnyList} */ (
|
jspb.Message.getWrapperField(this, proto.tensorflow.CollectionDef.AnyList, 5));
|
};
|
|
|
/**
|
* @param {?proto.tensorflow.CollectionDef.AnyList|undefined} value
|
* @return {!proto.tensorflow.CollectionDef} returns this
|
*/
|
proto.tensorflow.CollectionDef.prototype.setAnyList = function(value) {
|
return jspb.Message.setOneofWrapperField(this, 5, proto.tensorflow.CollectionDef.oneofGroups_[0], value);
|
};
|
|
|
/**
|
* Clears the message field making it undefined.
|
* @return {!proto.tensorflow.CollectionDef} returns this
|
*/
|
proto.tensorflow.CollectionDef.prototype.clearAnyList = function() {
|
return this.setAnyList(undefined);
|
};
|
|
|
/**
|
* Returns whether this field is set.
|
* @return {boolean}
|
*/
|
proto.tensorflow.CollectionDef.prototype.hasAnyList = function() {
|
return jspb.Message.getField(this, 5) != null;
|
};
|
|
|
|
|
|
if (jspb.Message.GENERATE_TO_OBJECT) {
|
/**
|
* Creates an object representation of this proto.
|
* Field names that are reserved in JavaScript and will be renamed to pb_name.
|
* Optional fields that are not set will be set to undefined.
|
* To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
|
* For the list of reserved names please see:
|
* net/proto2/compiler/js/internal/generator.cc#kKeyword.
|
* @param {boolean=} opt_includeInstance Deprecated. whether to include the
|
* JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @return {!Object}
|
*/
|
proto.tensorflow.SaverDef.prototype.toObject = function(opt_includeInstance) {
|
return proto.tensorflow.SaverDef.toObject(opt_includeInstance, this);
|
};
|
|
|
/**
|
* Static version of the {@see toObject} method.
|
* @param {boolean|undefined} includeInstance Deprecated. Whether to include
|
* the JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @param {!proto.tensorflow.SaverDef} msg The msg instance to transform.
|
* @return {!Object}
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.SaverDef.toObject = function(includeInstance, msg) {
|
var f, obj = {
|
filenameTensorName: jspb.Message.getFieldWithDefault(msg, 1, ""),
|
saveTensorName: jspb.Message.getFieldWithDefault(msg, 2, ""),
|
restoreOpName: jspb.Message.getFieldWithDefault(msg, 3, ""),
|
maxToKeep: jspb.Message.getFieldWithDefault(msg, 4, 0),
|
sharded: jspb.Message.getBooleanFieldWithDefault(msg, 5, false),
|
keepCheckpointEveryNHours: jspb.Message.getFloatingPointFieldWithDefault(msg, 6, 0.0),
|
version: jspb.Message.getFieldWithDefault(msg, 7, 0)
|
};
|
|
if (includeInstance) {
|
obj.$jspbMessageInstance = msg;
|
}
|
return obj;
|
};
|
}
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format).
|
* @param {jspb.ByteSource} bytes The bytes to deserialize.
|
* @return {!proto.tensorflow.SaverDef}
|
*/
|
proto.tensorflow.SaverDef.deserializeBinary = function(bytes) {
|
var reader = new jspb.BinaryReader(bytes);
|
var msg = new proto.tensorflow.SaverDef;
|
return proto.tensorflow.SaverDef.deserializeBinaryFromReader(msg, reader);
|
};
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format) from the
|
* given reader into the given message object.
|
* @param {!proto.tensorflow.SaverDef} msg The message object to deserialize into.
|
* @param {!jspb.BinaryReader} reader The BinaryReader to use.
|
* @return {!proto.tensorflow.SaverDef}
|
*/
|
proto.tensorflow.SaverDef.deserializeBinaryFromReader = function(msg, reader) {
|
while (reader.nextField()) {
|
if (reader.isEndGroup()) {
|
break;
|
}
|
var field = reader.getFieldNumber();
|
switch (field) {
|
case 1:
|
var value = /** @type {string} */ (reader.readString());
|
msg.setFilenameTensorName(value);
|
break;
|
case 2:
|
var value = /** @type {string} */ (reader.readString());
|
msg.setSaveTensorName(value);
|
break;
|
case 3:
|
var value = /** @type {string} */ (reader.readString());
|
msg.setRestoreOpName(value);
|
break;
|
case 4:
|
var value = /** @type {number} */ (reader.readInt32());
|
msg.setMaxToKeep(value);
|
break;
|
case 5:
|
var value = /** @type {boolean} */ (reader.readBool());
|
msg.setSharded(value);
|
break;
|
case 6:
|
var value = /** @type {number} */ (reader.readFloat());
|
msg.setKeepCheckpointEveryNHours(value);
|
break;
|
case 7:
|
var value = /** @type {!proto.tensorflow.SaverDef.CheckpointFormatVersion} */ (reader.readEnum());
|
msg.setVersion(value);
|
break;
|
default:
|
reader.skipField();
|
break;
|
}
|
}
|
return msg;
|
};
|
|
|
/**
|
* Serializes the message to binary data (in protobuf wire format).
|
* @return {!Uint8Array}
|
*/
|
proto.tensorflow.SaverDef.prototype.serializeBinary = function() {
|
var writer = new jspb.BinaryWriter();
|
proto.tensorflow.SaverDef.serializeBinaryToWriter(this, writer);
|
return writer.getResultBuffer();
|
};
|
|
|
/**
|
* Serializes the given message to binary data (in protobuf wire
|
* format), writing to the given BinaryWriter.
|
* @param {!proto.tensorflow.SaverDef} message
|
* @param {!jspb.BinaryWriter} writer
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.SaverDef.serializeBinaryToWriter = function(message, writer) {
|
var f = undefined;
|
f = message.getFilenameTensorName();
|
if (f.length > 0) {
|
writer.writeString(
|
1,
|
f
|
);
|
}
|
f = message.getSaveTensorName();
|
if (f.length > 0) {
|
writer.writeString(
|
2,
|
f
|
);
|
}
|
f = message.getRestoreOpName();
|
if (f.length > 0) {
|
writer.writeString(
|
3,
|
f
|
);
|
}
|
f = message.getMaxToKeep();
|
if (f !== 0) {
|
writer.writeInt32(
|
4,
|
f
|
);
|
}
|
f = message.getSharded();
|
if (f) {
|
writer.writeBool(
|
5,
|
f
|
);
|
}
|
f = message.getKeepCheckpointEveryNHours();
|
if (f !== 0.0) {
|
writer.writeFloat(
|
6,
|
f
|
);
|
}
|
f = message.getVersion();
|
if (f !== 0.0) {
|
writer.writeEnum(
|
7,
|
f
|
);
|
}
|
};
|
|
|
/**
|
* @enum {number}
|
*/
|
proto.tensorflow.SaverDef.CheckpointFormatVersion = {
|
LEGACY: 0,
|
V1: 1,
|
V2: 2
|
};
|
|
/**
|
* optional string filename_tensor_name = 1;
|
* @return {string}
|
*/
|
proto.tensorflow.SaverDef.prototype.getFilenameTensorName = function() {
|
return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 1, ""));
|
};
|
|
|
/**
|
* @param {string} value
|
* @return {!proto.tensorflow.SaverDef} returns this
|
*/
|
proto.tensorflow.SaverDef.prototype.setFilenameTensorName = function(value) {
|
return jspb.Message.setProto3StringField(this, 1, value);
|
};
|
|
|
/**
|
* optional string save_tensor_name = 2;
|
* @return {string}
|
*/
|
proto.tensorflow.SaverDef.prototype.getSaveTensorName = function() {
|
return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 2, ""));
|
};
|
|
|
/**
|
* @param {string} value
|
* @return {!proto.tensorflow.SaverDef} returns this
|
*/
|
proto.tensorflow.SaverDef.prototype.setSaveTensorName = function(value) {
|
return jspb.Message.setProto3StringField(this, 2, value);
|
};
|
|
|
/**
|
* optional string restore_op_name = 3;
|
* @return {string}
|
*/
|
proto.tensorflow.SaverDef.prototype.getRestoreOpName = function() {
|
return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 3, ""));
|
};
|
|
|
/**
|
* @param {string} value
|
* @return {!proto.tensorflow.SaverDef} returns this
|
*/
|
proto.tensorflow.SaverDef.prototype.setRestoreOpName = function(value) {
|
return jspb.Message.setProto3StringField(this, 3, value);
|
};
|
|
|
/**
|
* optional int32 max_to_keep = 4;
|
* @return {number}
|
*/
|
proto.tensorflow.SaverDef.prototype.getMaxToKeep = function() {
|
return /** @type {number} */ (jspb.Message.getFieldWithDefault(this, 4, 0));
|
};
|
|
|
/**
|
* @param {number} value
|
* @return {!proto.tensorflow.SaverDef} returns this
|
*/
|
proto.tensorflow.SaverDef.prototype.setMaxToKeep = function(value) {
|
return jspb.Message.setProto3IntField(this, 4, value);
|
};
|
|
|
/**
|
* optional bool sharded = 5;
|
* @return {boolean}
|
*/
|
proto.tensorflow.SaverDef.prototype.getSharded = function() {
|
return /** @type {boolean} */ (jspb.Message.getBooleanFieldWithDefault(this, 5, false));
|
};
|
|
|
/**
|
* @param {boolean} value
|
* @return {!proto.tensorflow.SaverDef} returns this
|
*/
|
proto.tensorflow.SaverDef.prototype.setSharded = function(value) {
|
return jspb.Message.setProto3BooleanField(this, 5, value);
|
};
|
|
|
/**
|
* optional float keep_checkpoint_every_n_hours = 6;
|
* @return {number}
|
*/
|
proto.tensorflow.SaverDef.prototype.getKeepCheckpointEveryNHours = function() {
|
return /** @type {number} */ (jspb.Message.getFloatingPointFieldWithDefault(this, 6, 0.0));
|
};
|
|
|
/**
|
* @param {number} value
|
* @return {!proto.tensorflow.SaverDef} returns this
|
*/
|
proto.tensorflow.SaverDef.prototype.setKeepCheckpointEveryNHours = function(value) {
|
return jspb.Message.setProto3FloatField(this, 6, value);
|
};
|
|
|
/**
|
* optional CheckpointFormatVersion version = 7;
|
* @return {!proto.tensorflow.SaverDef.CheckpointFormatVersion}
|
*/
|
proto.tensorflow.SaverDef.prototype.getVersion = function() {
|
return /** @type {!proto.tensorflow.SaverDef.CheckpointFormatVersion} */ (jspb.Message.getFieldWithDefault(this, 7, 0));
|
};
|
|
|
/**
|
* @param {!proto.tensorflow.SaverDef.CheckpointFormatVersion} value
|
* @return {!proto.tensorflow.SaverDef} returns this
|
*/
|
proto.tensorflow.SaverDef.prototype.setVersion = function(value) {
|
return jspb.Message.setProto3EnumField(this, 7, value);
|
};
|
|
|
|
/**
|
* Oneof group definitions for this message. Each group defines the field
|
* numbers belonging to that group. When of these fields' value is set, all
|
* other fields in the group are cleared. During deserialization, if multiple
|
* fields are encountered for a group, only the last value seen will be kept.
|
* @private {!Array<!Array<number>>}
|
* @const
|
*/
|
proto.tensorflow.TensorInfo.oneofGroups_ = [[1,4]];
|
|
/**
|
* @enum {number}
|
*/
|
proto.tensorflow.TensorInfo.EncodingCase = {
|
ENCODING_NOT_SET: 0,
|
NAME: 1,
|
COO_SPARSE: 4
|
};
|
|
/**
|
* @return {proto.tensorflow.TensorInfo.EncodingCase}
|
*/
|
proto.tensorflow.TensorInfo.prototype.getEncodingCase = function() {
|
return /** @type {proto.tensorflow.TensorInfo.EncodingCase} */(jspb.Message.computeOneofCase(this, proto.tensorflow.TensorInfo.oneofGroups_[0]));
|
};
|
|
|
|
if (jspb.Message.GENERATE_TO_OBJECT) {
|
/**
|
* Creates an object representation of this proto.
|
* Field names that are reserved in JavaScript and will be renamed to pb_name.
|
* Optional fields that are not set will be set to undefined.
|
* To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
|
* For the list of reserved names please see:
|
* net/proto2/compiler/js/internal/generator.cc#kKeyword.
|
* @param {boolean=} opt_includeInstance Deprecated. whether to include the
|
* JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @return {!Object}
|
*/
|
proto.tensorflow.TensorInfo.prototype.toObject = function(opt_includeInstance) {
|
return proto.tensorflow.TensorInfo.toObject(opt_includeInstance, this);
|
};
|
|
|
/**
|
* Static version of the {@see toObject} method.
|
* @param {boolean|undefined} includeInstance Deprecated. Whether to include
|
* the JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @param {!proto.tensorflow.TensorInfo} msg The msg instance to transform.
|
* @return {!Object}
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.TensorInfo.toObject = function(includeInstance, msg) {
|
var f, obj = {
|
name: jspb.Message.getFieldWithDefault(msg, 1, ""),
|
cooSparse: (f = msg.getCooSparse()) && proto.tensorflow.TensorInfo.CooSparse.toObject(includeInstance, f),
|
dtype: jspb.Message.getFieldWithDefault(msg, 2, 0),
|
tensorShape: (f = msg.getTensorShape()) && proto.tensorflow.TensorShape.toObject(includeInstance, f)
|
};
|
|
if (includeInstance) {
|
obj.$jspbMessageInstance = msg;
|
}
|
return obj;
|
};
|
}
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format).
|
* @param {jspb.ByteSource} bytes The bytes to deserialize.
|
* @return {!proto.tensorflow.TensorInfo}
|
*/
|
proto.tensorflow.TensorInfo.deserializeBinary = function(bytes) {
|
var reader = new jspb.BinaryReader(bytes);
|
var msg = new proto.tensorflow.TensorInfo;
|
return proto.tensorflow.TensorInfo.deserializeBinaryFromReader(msg, reader);
|
};
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format) from the
|
* given reader into the given message object.
|
* @param {!proto.tensorflow.TensorInfo} msg The message object to deserialize into.
|
* @param {!jspb.BinaryReader} reader The BinaryReader to use.
|
* @return {!proto.tensorflow.TensorInfo}
|
*/
|
proto.tensorflow.TensorInfo.deserializeBinaryFromReader = function(msg, reader) {
|
while (reader.nextField()) {
|
if (reader.isEndGroup()) {
|
break;
|
}
|
var field = reader.getFieldNumber();
|
switch (field) {
|
case 1:
|
var value = /** @type {string} */ (reader.readString());
|
msg.setName(value);
|
break;
|
case 4:
|
var value = new proto.tensorflow.TensorInfo.CooSparse;
|
reader.readMessage(value,proto.tensorflow.TensorInfo.CooSparse.deserializeBinaryFromReader);
|
msg.setCooSparse(value);
|
break;
|
case 2:
|
var value = /** @type {!proto.tensorflow.DataType} */ (reader.readEnum());
|
msg.setDtype(value);
|
break;
|
case 3:
|
var value = new proto.tensorflow.TensorShape;
|
reader.readMessage(value,proto.tensorflow.TensorShape.deserializeBinaryFromReader);
|
msg.setTensorShape(value);
|
break;
|
default:
|
reader.skipField();
|
break;
|
}
|
}
|
return msg;
|
};
|
|
|
/**
|
* Serializes the message to binary data (in protobuf wire format).
|
* @return {!Uint8Array}
|
*/
|
proto.tensorflow.TensorInfo.prototype.serializeBinary = function() {
|
var writer = new jspb.BinaryWriter();
|
proto.tensorflow.TensorInfo.serializeBinaryToWriter(this, writer);
|
return writer.getResultBuffer();
|
};
|
|
|
/**
|
* Serializes the given message to binary data (in protobuf wire
|
* format), writing to the given BinaryWriter.
|
* @param {!proto.tensorflow.TensorInfo} message
|
* @param {!jspb.BinaryWriter} writer
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.TensorInfo.serializeBinaryToWriter = function(message, writer) {
|
var f = undefined;
|
f = /** @type {string} */ (jspb.Message.getField(message, 1));
|
if (f != null) {
|
writer.writeString(
|
1,
|
f
|
);
|
}
|
f = message.getCooSparse();
|
if (f != null) {
|
writer.writeMessage(
|
4,
|
f,
|
proto.tensorflow.TensorInfo.CooSparse.serializeBinaryToWriter
|
);
|
}
|
f = message.getDtype();
|
if (f !== 0.0) {
|
writer.writeEnum(
|
2,
|
f
|
);
|
}
|
f = message.getTensorShape();
|
if (f != null) {
|
writer.writeMessage(
|
3,
|
f,
|
proto.tensorflow.TensorShape.serializeBinaryToWriter
|
);
|
}
|
};
|
|
|
|
|
|
if (jspb.Message.GENERATE_TO_OBJECT) {
|
/**
|
* Creates an object representation of this proto.
|
* Field names that are reserved in JavaScript and will be renamed to pb_name.
|
* Optional fields that are not set will be set to undefined.
|
* To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
|
* For the list of reserved names please see:
|
* net/proto2/compiler/js/internal/generator.cc#kKeyword.
|
* @param {boolean=} opt_includeInstance Deprecated. whether to include the
|
* JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @return {!Object}
|
*/
|
proto.tensorflow.TensorInfo.CooSparse.prototype.toObject = function(opt_includeInstance) {
|
return proto.tensorflow.TensorInfo.CooSparse.toObject(opt_includeInstance, this);
|
};
|
|
|
/**
|
* Static version of the {@see toObject} method.
|
* @param {boolean|undefined} includeInstance Deprecated. Whether to include
|
* the JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @param {!proto.tensorflow.TensorInfo.CooSparse} msg The msg instance to transform.
|
* @return {!Object}
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.TensorInfo.CooSparse.toObject = function(includeInstance, msg) {
|
var f, obj = {
|
valuesTensorName: jspb.Message.getFieldWithDefault(msg, 1, ""),
|
indicesTensorName: jspb.Message.getFieldWithDefault(msg, 2, ""),
|
denseShapeTensorName: jspb.Message.getFieldWithDefault(msg, 3, "")
|
};
|
|
if (includeInstance) {
|
obj.$jspbMessageInstance = msg;
|
}
|
return obj;
|
};
|
}
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format).
|
* @param {jspb.ByteSource} bytes The bytes to deserialize.
|
* @return {!proto.tensorflow.TensorInfo.CooSparse}
|
*/
|
proto.tensorflow.TensorInfo.CooSparse.deserializeBinary = function(bytes) {
|
var reader = new jspb.BinaryReader(bytes);
|
var msg = new proto.tensorflow.TensorInfo.CooSparse;
|
return proto.tensorflow.TensorInfo.CooSparse.deserializeBinaryFromReader(msg, reader);
|
};
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format) from the
|
* given reader into the given message object.
|
* @param {!proto.tensorflow.TensorInfo.CooSparse} msg The message object to deserialize into.
|
* @param {!jspb.BinaryReader} reader The BinaryReader to use.
|
* @return {!proto.tensorflow.TensorInfo.CooSparse}
|
*/
|
proto.tensorflow.TensorInfo.CooSparse.deserializeBinaryFromReader = function(msg, reader) {
|
while (reader.nextField()) {
|
if (reader.isEndGroup()) {
|
break;
|
}
|
var field = reader.getFieldNumber();
|
switch (field) {
|
case 1:
|
var value = /** @type {string} */ (reader.readString());
|
msg.setValuesTensorName(value);
|
break;
|
case 2:
|
var value = /** @type {string} */ (reader.readString());
|
msg.setIndicesTensorName(value);
|
break;
|
case 3:
|
var value = /** @type {string} */ (reader.readString());
|
msg.setDenseShapeTensorName(value);
|
break;
|
default:
|
reader.skipField();
|
break;
|
}
|
}
|
return msg;
|
};
|
|
|
/**
|
* Serializes the message to binary data (in protobuf wire format).
|
* @return {!Uint8Array}
|
*/
|
proto.tensorflow.TensorInfo.CooSparse.prototype.serializeBinary = function() {
|
var writer = new jspb.BinaryWriter();
|
proto.tensorflow.TensorInfo.CooSparse.serializeBinaryToWriter(this, writer);
|
return writer.getResultBuffer();
|
};
|
|
|
/**
|
* Serializes the given message to binary data (in protobuf wire
|
* format), writing to the given BinaryWriter.
|
* @param {!proto.tensorflow.TensorInfo.CooSparse} message
|
* @param {!jspb.BinaryWriter} writer
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.TensorInfo.CooSparse.serializeBinaryToWriter = function(message, writer) {
|
var f = undefined;
|
f = message.getValuesTensorName();
|
if (f.length > 0) {
|
writer.writeString(
|
1,
|
f
|
);
|
}
|
f = message.getIndicesTensorName();
|
if (f.length > 0) {
|
writer.writeString(
|
2,
|
f
|
);
|
}
|
f = message.getDenseShapeTensorName();
|
if (f.length > 0) {
|
writer.writeString(
|
3,
|
f
|
);
|
}
|
};
|
|
|
/**
|
* optional string values_tensor_name = 1;
|
* @return {string}
|
*/
|
proto.tensorflow.TensorInfo.CooSparse.prototype.getValuesTensorName = function() {
|
return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 1, ""));
|
};
|
|
|
/**
|
* @param {string} value
|
* @return {!proto.tensorflow.TensorInfo.CooSparse} returns this
|
*/
|
proto.tensorflow.TensorInfo.CooSparse.prototype.setValuesTensorName = function(value) {
|
return jspb.Message.setProto3StringField(this, 1, value);
|
};
|
|
|
/**
|
* optional string indices_tensor_name = 2;
|
* @return {string}
|
*/
|
proto.tensorflow.TensorInfo.CooSparse.prototype.getIndicesTensorName = function() {
|
return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 2, ""));
|
};
|
|
|
/**
|
* @param {string} value
|
* @return {!proto.tensorflow.TensorInfo.CooSparse} returns this
|
*/
|
proto.tensorflow.TensorInfo.CooSparse.prototype.setIndicesTensorName = function(value) {
|
return jspb.Message.setProto3StringField(this, 2, value);
|
};
|
|
|
/**
|
* optional string dense_shape_tensor_name = 3;
|
* @return {string}
|
*/
|
proto.tensorflow.TensorInfo.CooSparse.prototype.getDenseShapeTensorName = function() {
|
return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 3, ""));
|
};
|
|
|
/**
|
* @param {string} value
|
* @return {!proto.tensorflow.TensorInfo.CooSparse} returns this
|
*/
|
proto.tensorflow.TensorInfo.CooSparse.prototype.setDenseShapeTensorName = function(value) {
|
return jspb.Message.setProto3StringField(this, 3, value);
|
};
|
|
|
/**
|
* optional string name = 1;
|
* @return {string}
|
*/
|
proto.tensorflow.TensorInfo.prototype.getName = function() {
|
return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 1, ""));
|
};
|
|
|
/**
|
* @param {string} value
|
* @return {!proto.tensorflow.TensorInfo} returns this
|
*/
|
proto.tensorflow.TensorInfo.prototype.setName = function(value) {
|
return jspb.Message.setOneofField(this, 1, proto.tensorflow.TensorInfo.oneofGroups_[0], value);
|
};
|
|
|
/**
|
* Clears the field making it undefined.
|
* @return {!proto.tensorflow.TensorInfo} returns this
|
*/
|
proto.tensorflow.TensorInfo.prototype.clearName = function() {
|
return jspb.Message.setOneofField(this, 1, proto.tensorflow.TensorInfo.oneofGroups_[0], undefined);
|
};
|
|
|
/**
|
* Returns whether this field is set.
|
* @return {boolean}
|
*/
|
proto.tensorflow.TensorInfo.prototype.hasName = function() {
|
return jspb.Message.getField(this, 1) != null;
|
};
|
|
|
/**
|
* optional CooSparse coo_sparse = 4;
|
* @return {?proto.tensorflow.TensorInfo.CooSparse}
|
*/
|
proto.tensorflow.TensorInfo.prototype.getCooSparse = function() {
|
return /** @type{?proto.tensorflow.TensorInfo.CooSparse} */ (
|
jspb.Message.getWrapperField(this, proto.tensorflow.TensorInfo.CooSparse, 4));
|
};
|
|
|
/**
|
* @param {?proto.tensorflow.TensorInfo.CooSparse|undefined} value
|
* @return {!proto.tensorflow.TensorInfo} returns this
|
*/
|
proto.tensorflow.TensorInfo.prototype.setCooSparse = function(value) {
|
return jspb.Message.setOneofWrapperField(this, 4, proto.tensorflow.TensorInfo.oneofGroups_[0], value);
|
};
|
|
|
/**
|
* Clears the message field making it undefined.
|
* @return {!proto.tensorflow.TensorInfo} returns this
|
*/
|
proto.tensorflow.TensorInfo.prototype.clearCooSparse = function() {
|
return this.setCooSparse(undefined);
|
};
|
|
|
/**
|
* Returns whether this field is set.
|
* @return {boolean}
|
*/
|
proto.tensorflow.TensorInfo.prototype.hasCooSparse = function() {
|
return jspb.Message.getField(this, 4) != null;
|
};
|
|
|
/**
|
* optional DataType dtype = 2;
|
* @return {!proto.tensorflow.DataType}
|
*/
|
proto.tensorflow.TensorInfo.prototype.getDtype = function() {
|
return /** @type {!proto.tensorflow.DataType} */ (jspb.Message.getFieldWithDefault(this, 2, 0));
|
};
|
|
|
/**
|
* @param {!proto.tensorflow.DataType} value
|
* @return {!proto.tensorflow.TensorInfo} returns this
|
*/
|
proto.tensorflow.TensorInfo.prototype.setDtype = function(value) {
|
return jspb.Message.setProto3EnumField(this, 2, value);
|
};
|
|
|
/**
|
* optional TensorShape tensor_shape = 3;
|
* @return {?proto.tensorflow.TensorShape}
|
*/
|
proto.tensorflow.TensorInfo.prototype.getTensorShape = function() {
|
return /** @type{?proto.tensorflow.TensorShape} */ (
|
jspb.Message.getWrapperField(this, proto.tensorflow.TensorShape, 3));
|
};
|
|
|
/**
|
* @param {?proto.tensorflow.TensorShape|undefined} value
|
* @return {!proto.tensorflow.TensorInfo} returns this
|
*/
|
proto.tensorflow.TensorInfo.prototype.setTensorShape = function(value) {
|
return jspb.Message.setWrapperField(this, 3, value);
|
};
|
|
|
/**
|
* Clears the message field making it undefined.
|
* @return {!proto.tensorflow.TensorInfo} returns this
|
*/
|
proto.tensorflow.TensorInfo.prototype.clearTensorShape = function() {
|
return this.setTensorShape(undefined);
|
};
|
|
|
/**
|
* Returns whether this field is set.
|
* @return {boolean}
|
*/
|
proto.tensorflow.TensorInfo.prototype.hasTensorShape = function() {
|
return jspb.Message.getField(this, 3) != null;
|
};
|
|
|
|
|
|
if (jspb.Message.GENERATE_TO_OBJECT) {
|
/**
|
* Creates an object representation of this proto.
|
* Field names that are reserved in JavaScript and will be renamed to pb_name.
|
* Optional fields that are not set will be set to undefined.
|
* To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
|
* For the list of reserved names please see:
|
* net/proto2/compiler/js/internal/generator.cc#kKeyword.
|
* @param {boolean=} opt_includeInstance Deprecated. whether to include the
|
* JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @return {!Object}
|
*/
|
proto.tensorflow.SignatureDef.prototype.toObject = function(opt_includeInstance) {
|
return proto.tensorflow.SignatureDef.toObject(opt_includeInstance, this);
|
};
|
|
|
/**
|
* Static version of the {@see toObject} method.
|
* @param {boolean|undefined} includeInstance Deprecated. Whether to include
|
* the JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @param {!proto.tensorflow.SignatureDef} msg The msg instance to transform.
|
* @return {!Object}
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.SignatureDef.toObject = function(includeInstance, msg) {
|
var f, obj = {
|
inputsMap: (f = msg.getInputsMap()) ? f.toObject(includeInstance, proto.tensorflow.TensorInfo.toObject) : [],
|
outputsMap: (f = msg.getOutputsMap()) ? f.toObject(includeInstance, proto.tensorflow.TensorInfo.toObject) : [],
|
methodName: jspb.Message.getFieldWithDefault(msg, 3, "")
|
};
|
|
if (includeInstance) {
|
obj.$jspbMessageInstance = msg;
|
}
|
return obj;
|
};
|
}
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format).
|
* @param {jspb.ByteSource} bytes The bytes to deserialize.
|
* @return {!proto.tensorflow.SignatureDef}
|
*/
|
proto.tensorflow.SignatureDef.deserializeBinary = function(bytes) {
|
var reader = new jspb.BinaryReader(bytes);
|
var msg = new proto.tensorflow.SignatureDef;
|
return proto.tensorflow.SignatureDef.deserializeBinaryFromReader(msg, reader);
|
};
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format) from the
|
* given reader into the given message object.
|
* @param {!proto.tensorflow.SignatureDef} msg The message object to deserialize into.
|
* @param {!jspb.BinaryReader} reader The BinaryReader to use.
|
* @return {!proto.tensorflow.SignatureDef}
|
*/
|
proto.tensorflow.SignatureDef.deserializeBinaryFromReader = function(msg, reader) {
|
while (reader.nextField()) {
|
if (reader.isEndGroup()) {
|
break;
|
}
|
var field = reader.getFieldNumber();
|
switch (field) {
|
case 1:
|
var value = msg.getInputsMap();
|
reader.readMessage(value, function(message, reader) {
|
jspb.Map.deserializeBinary(message, reader, jspb.BinaryReader.prototype.readString, jspb.BinaryReader.prototype.readMessage, proto.tensorflow.TensorInfo.deserializeBinaryFromReader, "", new proto.tensorflow.TensorInfo());
|
});
|
break;
|
case 2:
|
var value = msg.getOutputsMap();
|
reader.readMessage(value, function(message, reader) {
|
jspb.Map.deserializeBinary(message, reader, jspb.BinaryReader.prototype.readString, jspb.BinaryReader.prototype.readMessage, proto.tensorflow.TensorInfo.deserializeBinaryFromReader, "", new proto.tensorflow.TensorInfo());
|
});
|
break;
|
case 3:
|
var value = /** @type {string} */ (reader.readString());
|
msg.setMethodName(value);
|
break;
|
default:
|
reader.skipField();
|
break;
|
}
|
}
|
return msg;
|
};
|
|
|
/**
|
* Serializes the message to binary data (in protobuf wire format).
|
* @return {!Uint8Array}
|
*/
|
proto.tensorflow.SignatureDef.prototype.serializeBinary = function() {
|
var writer = new jspb.BinaryWriter();
|
proto.tensorflow.SignatureDef.serializeBinaryToWriter(this, writer);
|
return writer.getResultBuffer();
|
};
|
|
|
/**
|
* Serializes the given message to binary data (in protobuf wire
|
* format), writing to the given BinaryWriter.
|
* @param {!proto.tensorflow.SignatureDef} message
|
* @param {!jspb.BinaryWriter} writer
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.SignatureDef.serializeBinaryToWriter = function(message, writer) {
|
var f = undefined;
|
f = message.getInputsMap(true);
|
if (f && f.getLength() > 0) {
|
f.serializeBinary(1, writer, jspb.BinaryWriter.prototype.writeString, jspb.BinaryWriter.prototype.writeMessage, proto.tensorflow.TensorInfo.serializeBinaryToWriter);
|
}
|
f = message.getOutputsMap(true);
|
if (f && f.getLength() > 0) {
|
f.serializeBinary(2, writer, jspb.BinaryWriter.prototype.writeString, jspb.BinaryWriter.prototype.writeMessage, proto.tensorflow.TensorInfo.serializeBinaryToWriter);
|
}
|
f = message.getMethodName();
|
if (f.length > 0) {
|
writer.writeString(
|
3,
|
f
|
);
|
}
|
};
|
|
|
/**
|
* map<string, TensorInfo> inputs = 1;
|
* @param {boolean=} opt_noLazyCreate Do not create the map if
|
* empty, instead returning `undefined`
|
* @return {!jspb.Map<string,!proto.tensorflow.TensorInfo>}
|
*/
|
proto.tensorflow.SignatureDef.prototype.getInputsMap = function(opt_noLazyCreate) {
|
return /** @type {!jspb.Map<string,!proto.tensorflow.TensorInfo>} */ (
|
jspb.Message.getMapField(this, 1, opt_noLazyCreate,
|
proto.tensorflow.TensorInfo));
|
};
|
|
|
/**
|
* Clears values from the map. The map will be non-null.
|
* @return {!proto.tensorflow.SignatureDef} returns this
|
*/
|
proto.tensorflow.SignatureDef.prototype.clearInputsMap = function() {
|
this.getInputsMap().clear();
|
return this;};
|
|
|
/**
|
* map<string, TensorInfo> outputs = 2;
|
* @param {boolean=} opt_noLazyCreate Do not create the map if
|
* empty, instead returning `undefined`
|
* @return {!jspb.Map<string,!proto.tensorflow.TensorInfo>}
|
*/
|
proto.tensorflow.SignatureDef.prototype.getOutputsMap = function(opt_noLazyCreate) {
|
return /** @type {!jspb.Map<string,!proto.tensorflow.TensorInfo>} */ (
|
jspb.Message.getMapField(this, 2, opt_noLazyCreate,
|
proto.tensorflow.TensorInfo));
|
};
|
|
|
/**
|
* Clears values from the map. The map will be non-null.
|
* @return {!proto.tensorflow.SignatureDef} returns this
|
*/
|
proto.tensorflow.SignatureDef.prototype.clearOutputsMap = function() {
|
this.getOutputsMap().clear();
|
return this;};
|
|
|
/**
|
* optional string method_name = 3;
|
* @return {string}
|
*/
|
proto.tensorflow.SignatureDef.prototype.getMethodName = function() {
|
return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 3, ""));
|
};
|
|
|
/**
|
* @param {string} value
|
* @return {!proto.tensorflow.SignatureDef} returns this
|
*/
|
proto.tensorflow.SignatureDef.prototype.setMethodName = function(value) {
|
return jspb.Message.setProto3StringField(this, 3, value);
|
};
|
|
|
|
|
|
if (jspb.Message.GENERATE_TO_OBJECT) {
|
/**
|
* Creates an object representation of this proto.
|
* Field names that are reserved in JavaScript and will be renamed to pb_name.
|
* Optional fields that are not set will be set to undefined.
|
* To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
|
* For the list of reserved names please see:
|
* net/proto2/compiler/js/internal/generator.cc#kKeyword.
|
* @param {boolean=} opt_includeInstance Deprecated. whether to include the
|
* JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @return {!Object}
|
*/
|
proto.tensorflow.AssetFileDef.prototype.toObject = function(opt_includeInstance) {
|
return proto.tensorflow.AssetFileDef.toObject(opt_includeInstance, this);
|
};
|
|
|
/**
|
* Static version of the {@see toObject} method.
|
* @param {boolean|undefined} includeInstance Deprecated. Whether to include
|
* the JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @param {!proto.tensorflow.AssetFileDef} msg The msg instance to transform.
|
* @return {!Object}
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.AssetFileDef.toObject = function(includeInstance, msg) {
|
var f, obj = {
|
tensorInfo: (f = msg.getTensorInfo()) && proto.tensorflow.TensorInfo.toObject(includeInstance, f),
|
filename: jspb.Message.getFieldWithDefault(msg, 2, "")
|
};
|
|
if (includeInstance) {
|
obj.$jspbMessageInstance = msg;
|
}
|
return obj;
|
};
|
}
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format).
|
* @param {jspb.ByteSource} bytes The bytes to deserialize.
|
* @return {!proto.tensorflow.AssetFileDef}
|
*/
|
proto.tensorflow.AssetFileDef.deserializeBinary = function(bytes) {
|
var reader = new jspb.BinaryReader(bytes);
|
var msg = new proto.tensorflow.AssetFileDef;
|
return proto.tensorflow.AssetFileDef.deserializeBinaryFromReader(msg, reader);
|
};
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format) from the
|
* given reader into the given message object.
|
* @param {!proto.tensorflow.AssetFileDef} msg The message object to deserialize into.
|
* @param {!jspb.BinaryReader} reader The BinaryReader to use.
|
* @return {!proto.tensorflow.AssetFileDef}
|
*/
|
proto.tensorflow.AssetFileDef.deserializeBinaryFromReader = function(msg, reader) {
|
while (reader.nextField()) {
|
if (reader.isEndGroup()) {
|
break;
|
}
|
var field = reader.getFieldNumber();
|
switch (field) {
|
case 1:
|
var value = new proto.tensorflow.TensorInfo;
|
reader.readMessage(value,proto.tensorflow.TensorInfo.deserializeBinaryFromReader);
|
msg.setTensorInfo(value);
|
break;
|
case 2:
|
var value = /** @type {string} */ (reader.readString());
|
msg.setFilename(value);
|
break;
|
default:
|
reader.skipField();
|
break;
|
}
|
}
|
return msg;
|
};
|
|
|
/**
|
* Serializes the message to binary data (in protobuf wire format).
|
* @return {!Uint8Array}
|
*/
|
proto.tensorflow.AssetFileDef.prototype.serializeBinary = function() {
|
var writer = new jspb.BinaryWriter();
|
proto.tensorflow.AssetFileDef.serializeBinaryToWriter(this, writer);
|
return writer.getResultBuffer();
|
};
|
|
|
/**
|
* Serializes the given message to binary data (in protobuf wire
|
* format), writing to the given BinaryWriter.
|
* @param {!proto.tensorflow.AssetFileDef} message
|
* @param {!jspb.BinaryWriter} writer
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.AssetFileDef.serializeBinaryToWriter = function(message, writer) {
|
var f = undefined;
|
f = message.getTensorInfo();
|
if (f != null) {
|
writer.writeMessage(
|
1,
|
f,
|
proto.tensorflow.TensorInfo.serializeBinaryToWriter
|
);
|
}
|
f = message.getFilename();
|
if (f.length > 0) {
|
writer.writeString(
|
2,
|
f
|
);
|
}
|
};
|
|
|
/**
|
* optional TensorInfo tensor_info = 1;
|
* @return {?proto.tensorflow.TensorInfo}
|
*/
|
proto.tensorflow.AssetFileDef.prototype.getTensorInfo = function() {
|
return /** @type{?proto.tensorflow.TensorInfo} */ (
|
jspb.Message.getWrapperField(this, proto.tensorflow.TensorInfo, 1));
|
};
|
|
|
/**
|
* @param {?proto.tensorflow.TensorInfo|undefined} value
|
* @return {!proto.tensorflow.AssetFileDef} returns this
|
*/
|
proto.tensorflow.AssetFileDef.prototype.setTensorInfo = function(value) {
|
return jspb.Message.setWrapperField(this, 1, value);
|
};
|
|
|
/**
|
* Clears the message field making it undefined.
|
* @return {!proto.tensorflow.AssetFileDef} returns this
|
*/
|
proto.tensorflow.AssetFileDef.prototype.clearTensorInfo = function() {
|
return this.setTensorInfo(undefined);
|
};
|
|
|
/**
|
* Returns whether this field is set.
|
* @return {boolean}
|
*/
|
proto.tensorflow.AssetFileDef.prototype.hasTensorInfo = function() {
|
return jspb.Message.getField(this, 1) != null;
|
};
|
|
|
/**
|
* optional string filename = 2;
|
* @return {string}
|
*/
|
proto.tensorflow.AssetFileDef.prototype.getFilename = function() {
|
return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 2, ""));
|
};
|
|
|
/**
|
* @param {string} value
|
* @return {!proto.tensorflow.AssetFileDef} returns this
|
*/
|
proto.tensorflow.AssetFileDef.prototype.setFilename = function(value) {
|
return jspb.Message.setProto3StringField(this, 2, value);
|
};
|
|
|
|
/**
|
* List of repeated fields within this message type.
|
* @private {!Array<number>}
|
* @const
|
*/
|
proto.tensorflow.OpDef.repeatedFields_ = [2,3,4];
|
|
|
|
if (jspb.Message.GENERATE_TO_OBJECT) {
|
/**
|
* Creates an object representation of this proto.
|
* Field names that are reserved in JavaScript and will be renamed to pb_name.
|
* Optional fields that are not set will be set to undefined.
|
* To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
|
* For the list of reserved names please see:
|
* net/proto2/compiler/js/internal/generator.cc#kKeyword.
|
* @param {boolean=} opt_includeInstance Deprecated. whether to include the
|
* JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @return {!Object}
|
*/
|
proto.tensorflow.OpDef.prototype.toObject = function(opt_includeInstance) {
|
return proto.tensorflow.OpDef.toObject(opt_includeInstance, this);
|
};
|
|
|
/**
|
* Static version of the {@see toObject} method.
|
* @param {boolean|undefined} includeInstance Deprecated. Whether to include
|
* the JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @param {!proto.tensorflow.OpDef} msg The msg instance to transform.
|
* @return {!Object}
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.OpDef.toObject = function(includeInstance, msg) {
|
var f, obj = {
|
name: jspb.Message.getFieldWithDefault(msg, 1, ""),
|
inputArgList: jspb.Message.toObjectList(msg.getInputArgList(),
|
proto.tensorflow.OpDef.ArgDef.toObject, includeInstance),
|
outputArgList: jspb.Message.toObjectList(msg.getOutputArgList(),
|
proto.tensorflow.OpDef.ArgDef.toObject, includeInstance),
|
attrList: jspb.Message.toObjectList(msg.getAttrList(),
|
proto.tensorflow.OpDef.AttrDef.toObject, includeInstance),
|
deprecation: (f = msg.getDeprecation()) && proto.tensorflow.OpDef.OpDeprecation.toObject(includeInstance, f),
|
summary: jspb.Message.getFieldWithDefault(msg, 5, ""),
|
description: jspb.Message.getFieldWithDefault(msg, 6, ""),
|
isCommutative: jspb.Message.getBooleanFieldWithDefault(msg, 18, false),
|
isAggregate: jspb.Message.getBooleanFieldWithDefault(msg, 16, false),
|
isStateful: jspb.Message.getBooleanFieldWithDefault(msg, 17, false),
|
allowsUninitializedInput: jspb.Message.getBooleanFieldWithDefault(msg, 19, false)
|
};
|
|
if (includeInstance) {
|
obj.$jspbMessageInstance = msg;
|
}
|
return obj;
|
};
|
}
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format).
|
* @param {jspb.ByteSource} bytes The bytes to deserialize.
|
* @return {!proto.tensorflow.OpDef}
|
*/
|
proto.tensorflow.OpDef.deserializeBinary = function(bytes) {
|
var reader = new jspb.BinaryReader(bytes);
|
var msg = new proto.tensorflow.OpDef;
|
return proto.tensorflow.OpDef.deserializeBinaryFromReader(msg, reader);
|
};
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format) from the
|
* given reader into the given message object.
|
* @param {!proto.tensorflow.OpDef} msg The message object to deserialize into.
|
* @param {!jspb.BinaryReader} reader The BinaryReader to use.
|
* @return {!proto.tensorflow.OpDef}
|
*/
|
proto.tensorflow.OpDef.deserializeBinaryFromReader = function(msg, reader) {
|
while (reader.nextField()) {
|
if (reader.isEndGroup()) {
|
break;
|
}
|
var field = reader.getFieldNumber();
|
switch (field) {
|
case 1:
|
var value = /** @type {string} */ (reader.readString());
|
msg.setName(value);
|
break;
|
case 2:
|
var value = new proto.tensorflow.OpDef.ArgDef;
|
reader.readMessage(value,proto.tensorflow.OpDef.ArgDef.deserializeBinaryFromReader);
|
msg.addInputArg(value);
|
break;
|
case 3:
|
var value = new proto.tensorflow.OpDef.ArgDef;
|
reader.readMessage(value,proto.tensorflow.OpDef.ArgDef.deserializeBinaryFromReader);
|
msg.addOutputArg(value);
|
break;
|
case 4:
|
var value = new proto.tensorflow.OpDef.AttrDef;
|
reader.readMessage(value,proto.tensorflow.OpDef.AttrDef.deserializeBinaryFromReader);
|
msg.addAttr(value);
|
break;
|
case 8:
|
var value = new proto.tensorflow.OpDef.OpDeprecation;
|
reader.readMessage(value,proto.tensorflow.OpDef.OpDeprecation.deserializeBinaryFromReader);
|
msg.setDeprecation(value);
|
break;
|
case 5:
|
var value = /** @type {string} */ (reader.readString());
|
msg.setSummary(value);
|
break;
|
case 6:
|
var value = /** @type {string} */ (reader.readString());
|
msg.setDescription(value);
|
break;
|
case 18:
|
var value = /** @type {boolean} */ (reader.readBool());
|
msg.setIsCommutative(value);
|
break;
|
case 16:
|
var value = /** @type {boolean} */ (reader.readBool());
|
msg.setIsAggregate(value);
|
break;
|
case 17:
|
var value = /** @type {boolean} */ (reader.readBool());
|
msg.setIsStateful(value);
|
break;
|
case 19:
|
var value = /** @type {boolean} */ (reader.readBool());
|
msg.setAllowsUninitializedInput(value);
|
break;
|
default:
|
reader.skipField();
|
break;
|
}
|
}
|
return msg;
|
};
|
|
|
/**
|
* Serializes the message to binary data (in protobuf wire format).
|
* @return {!Uint8Array}
|
*/
|
proto.tensorflow.OpDef.prototype.serializeBinary = function() {
|
var writer = new jspb.BinaryWriter();
|
proto.tensorflow.OpDef.serializeBinaryToWriter(this, writer);
|
return writer.getResultBuffer();
|
};
|
|
|
/**
|
* Serializes the given message to binary data (in protobuf wire
|
* format), writing to the given BinaryWriter.
|
* @param {!proto.tensorflow.OpDef} message
|
* @param {!jspb.BinaryWriter} writer
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.OpDef.serializeBinaryToWriter = function(message, writer) {
|
var f = undefined;
|
f = message.getName();
|
if (f.length > 0) {
|
writer.writeString(
|
1,
|
f
|
);
|
}
|
f = message.getInputArgList();
|
if (f.length > 0) {
|
writer.writeRepeatedMessage(
|
2,
|
f,
|
proto.tensorflow.OpDef.ArgDef.serializeBinaryToWriter
|
);
|
}
|
f = message.getOutputArgList();
|
if (f.length > 0) {
|
writer.writeRepeatedMessage(
|
3,
|
f,
|
proto.tensorflow.OpDef.ArgDef.serializeBinaryToWriter
|
);
|
}
|
f = message.getAttrList();
|
if (f.length > 0) {
|
writer.writeRepeatedMessage(
|
4,
|
f,
|
proto.tensorflow.OpDef.AttrDef.serializeBinaryToWriter
|
);
|
}
|
f = message.getDeprecation();
|
if (f != null) {
|
writer.writeMessage(
|
8,
|
f,
|
proto.tensorflow.OpDef.OpDeprecation.serializeBinaryToWriter
|
);
|
}
|
f = message.getSummary();
|
if (f.length > 0) {
|
writer.writeString(
|
5,
|
f
|
);
|
}
|
f = message.getDescription();
|
if (f.length > 0) {
|
writer.writeString(
|
6,
|
f
|
);
|
}
|
f = message.getIsCommutative();
|
if (f) {
|
writer.writeBool(
|
18,
|
f
|
);
|
}
|
f = message.getIsAggregate();
|
if (f) {
|
writer.writeBool(
|
16,
|
f
|
);
|
}
|
f = message.getIsStateful();
|
if (f) {
|
writer.writeBool(
|
17,
|
f
|
);
|
}
|
f = message.getAllowsUninitializedInput();
|
if (f) {
|
writer.writeBool(
|
19,
|
f
|
);
|
}
|
};
|
|
|
|
|
|
if (jspb.Message.GENERATE_TO_OBJECT) {
|
/**
|
* Creates an object representation of this proto.
|
* Field names that are reserved in JavaScript and will be renamed to pb_name.
|
* Optional fields that are not set will be set to undefined.
|
* To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
|
* For the list of reserved names please see:
|
* net/proto2/compiler/js/internal/generator.cc#kKeyword.
|
* @param {boolean=} opt_includeInstance Deprecated. whether to include the
|
* JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @return {!Object}
|
*/
|
proto.tensorflow.OpDef.ArgDef.prototype.toObject = function(opt_includeInstance) {
|
return proto.tensorflow.OpDef.ArgDef.toObject(opt_includeInstance, this);
|
};
|
|
|
/**
|
* Static version of the {@see toObject} method.
|
* @param {boolean|undefined} includeInstance Deprecated. Whether to include
|
* the JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @param {!proto.tensorflow.OpDef.ArgDef} msg The msg instance to transform.
|
* @return {!Object}
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.OpDef.ArgDef.toObject = function(includeInstance, msg) {
|
var f, obj = {
|
name: jspb.Message.getFieldWithDefault(msg, 1, ""),
|
description: jspb.Message.getFieldWithDefault(msg, 2, ""),
|
type: jspb.Message.getFieldWithDefault(msg, 3, 0),
|
typeAttr: jspb.Message.getFieldWithDefault(msg, 4, ""),
|
numberAttr: jspb.Message.getFieldWithDefault(msg, 5, ""),
|
typeListAttr: jspb.Message.getFieldWithDefault(msg, 6, ""),
|
isRef: jspb.Message.getBooleanFieldWithDefault(msg, 16, false)
|
};
|
|
if (includeInstance) {
|
obj.$jspbMessageInstance = msg;
|
}
|
return obj;
|
};
|
}
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format).
|
* @param {jspb.ByteSource} bytes The bytes to deserialize.
|
* @return {!proto.tensorflow.OpDef.ArgDef}
|
*/
|
proto.tensorflow.OpDef.ArgDef.deserializeBinary = function(bytes) {
|
var reader = new jspb.BinaryReader(bytes);
|
var msg = new proto.tensorflow.OpDef.ArgDef;
|
return proto.tensorflow.OpDef.ArgDef.deserializeBinaryFromReader(msg, reader);
|
};
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format) from the
|
* given reader into the given message object.
|
* @param {!proto.tensorflow.OpDef.ArgDef} msg The message object to deserialize into.
|
* @param {!jspb.BinaryReader} reader The BinaryReader to use.
|
* @return {!proto.tensorflow.OpDef.ArgDef}
|
*/
|
proto.tensorflow.OpDef.ArgDef.deserializeBinaryFromReader = function(msg, reader) {
|
while (reader.nextField()) {
|
if (reader.isEndGroup()) {
|
break;
|
}
|
var field = reader.getFieldNumber();
|
switch (field) {
|
case 1:
|
var value = /** @type {string} */ (reader.readString());
|
msg.setName(value);
|
break;
|
case 2:
|
var value = /** @type {string} */ (reader.readString());
|
msg.setDescription(value);
|
break;
|
case 3:
|
var value = /** @type {!proto.tensorflow.DataType} */ (reader.readEnum());
|
msg.setType(value);
|
break;
|
case 4:
|
var value = /** @type {string} */ (reader.readString());
|
msg.setTypeAttr(value);
|
break;
|
case 5:
|
var value = /** @type {string} */ (reader.readString());
|
msg.setNumberAttr(value);
|
break;
|
case 6:
|
var value = /** @type {string} */ (reader.readString());
|
msg.setTypeListAttr(value);
|
break;
|
case 16:
|
var value = /** @type {boolean} */ (reader.readBool());
|
msg.setIsRef(value);
|
break;
|
default:
|
reader.skipField();
|
break;
|
}
|
}
|
return msg;
|
};
|
|
|
/**
|
* Serializes the message to binary data (in protobuf wire format).
|
* @return {!Uint8Array}
|
*/
|
proto.tensorflow.OpDef.ArgDef.prototype.serializeBinary = function() {
|
var writer = new jspb.BinaryWriter();
|
proto.tensorflow.OpDef.ArgDef.serializeBinaryToWriter(this, writer);
|
return writer.getResultBuffer();
|
};
|
|
|
/**
|
* Serializes the given message to binary data (in protobuf wire
|
* format), writing to the given BinaryWriter.
|
* @param {!proto.tensorflow.OpDef.ArgDef} message
|
* @param {!jspb.BinaryWriter} writer
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.OpDef.ArgDef.serializeBinaryToWriter = function(message, writer) {
|
var f = undefined;
|
f = message.getName();
|
if (f.length > 0) {
|
writer.writeString(
|
1,
|
f
|
);
|
}
|
f = message.getDescription();
|
if (f.length > 0) {
|
writer.writeString(
|
2,
|
f
|
);
|
}
|
f = message.getType();
|
if (f !== 0.0) {
|
writer.writeEnum(
|
3,
|
f
|
);
|
}
|
f = message.getTypeAttr();
|
if (f.length > 0) {
|
writer.writeString(
|
4,
|
f
|
);
|
}
|
f = message.getNumberAttr();
|
if (f.length > 0) {
|
writer.writeString(
|
5,
|
f
|
);
|
}
|
f = message.getTypeListAttr();
|
if (f.length > 0) {
|
writer.writeString(
|
6,
|
f
|
);
|
}
|
f = message.getIsRef();
|
if (f) {
|
writer.writeBool(
|
16,
|
f
|
);
|
}
|
};
|
|
|
/**
|
* optional string name = 1;
|
* @return {string}
|
*/
|
proto.tensorflow.OpDef.ArgDef.prototype.getName = function() {
|
return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 1, ""));
|
};
|
|
|
/**
|
* @param {string} value
|
* @return {!proto.tensorflow.OpDef.ArgDef} returns this
|
*/
|
proto.tensorflow.OpDef.ArgDef.prototype.setName = function(value) {
|
return jspb.Message.setProto3StringField(this, 1, value);
|
};
|
|
|
/**
|
* optional string description = 2;
|
* @return {string}
|
*/
|
proto.tensorflow.OpDef.ArgDef.prototype.getDescription = function() {
|
return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 2, ""));
|
};
|
|
|
/**
|
* @param {string} value
|
* @return {!proto.tensorflow.OpDef.ArgDef} returns this
|
*/
|
proto.tensorflow.OpDef.ArgDef.prototype.setDescription = function(value) {
|
return jspb.Message.setProto3StringField(this, 2, value);
|
};
|
|
|
/**
|
* optional DataType type = 3;
|
* @return {!proto.tensorflow.DataType}
|
*/
|
proto.tensorflow.OpDef.ArgDef.prototype.getType = function() {
|
return /** @type {!proto.tensorflow.DataType} */ (jspb.Message.getFieldWithDefault(this, 3, 0));
|
};
|
|
|
/**
|
* @param {!proto.tensorflow.DataType} value
|
* @return {!proto.tensorflow.OpDef.ArgDef} returns this
|
*/
|
proto.tensorflow.OpDef.ArgDef.prototype.setType = function(value) {
|
return jspb.Message.setProto3EnumField(this, 3, value);
|
};
|
|
|
/**
|
* optional string type_attr = 4;
|
* @return {string}
|
*/
|
proto.tensorflow.OpDef.ArgDef.prototype.getTypeAttr = function() {
|
return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 4, ""));
|
};
|
|
|
/**
|
* @param {string} value
|
* @return {!proto.tensorflow.OpDef.ArgDef} returns this
|
*/
|
proto.tensorflow.OpDef.ArgDef.prototype.setTypeAttr = function(value) {
|
return jspb.Message.setProto3StringField(this, 4, value);
|
};
|
|
|
/**
|
* optional string number_attr = 5;
|
* @return {string}
|
*/
|
proto.tensorflow.OpDef.ArgDef.prototype.getNumberAttr = function() {
|
return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 5, ""));
|
};
|
|
|
/**
|
* @param {string} value
|
* @return {!proto.tensorflow.OpDef.ArgDef} returns this
|
*/
|
proto.tensorflow.OpDef.ArgDef.prototype.setNumberAttr = function(value) {
|
return jspb.Message.setProto3StringField(this, 5, value);
|
};
|
|
|
/**
|
* optional string type_list_attr = 6;
|
* @return {string}
|
*/
|
proto.tensorflow.OpDef.ArgDef.prototype.getTypeListAttr = function() {
|
return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 6, ""));
|
};
|
|
|
/**
|
* @param {string} value
|
* @return {!proto.tensorflow.OpDef.ArgDef} returns this
|
*/
|
proto.tensorflow.OpDef.ArgDef.prototype.setTypeListAttr = function(value) {
|
return jspb.Message.setProto3StringField(this, 6, value);
|
};
|
|
|
/**
|
* optional bool is_ref = 16;
|
* @return {boolean}
|
*/
|
proto.tensorflow.OpDef.ArgDef.prototype.getIsRef = function() {
|
return /** @type {boolean} */ (jspb.Message.getBooleanFieldWithDefault(this, 16, false));
|
};
|
|
|
/**
|
* @param {boolean} value
|
* @return {!proto.tensorflow.OpDef.ArgDef} returns this
|
*/
|
proto.tensorflow.OpDef.ArgDef.prototype.setIsRef = function(value) {
|
return jspb.Message.setProto3BooleanField(this, 16, value);
|
};
|
|
|
|
|
|
if (jspb.Message.GENERATE_TO_OBJECT) {
|
/**
|
* Creates an object representation of this proto.
|
* Field names that are reserved in JavaScript and will be renamed to pb_name.
|
* Optional fields that are not set will be set to undefined.
|
* To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
|
* For the list of reserved names please see:
|
* net/proto2/compiler/js/internal/generator.cc#kKeyword.
|
* @param {boolean=} opt_includeInstance Deprecated. whether to include the
|
* JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @return {!Object}
|
*/
|
proto.tensorflow.OpDef.AttrDef.prototype.toObject = function(opt_includeInstance) {
|
return proto.tensorflow.OpDef.AttrDef.toObject(opt_includeInstance, this);
|
};
|
|
|
/**
|
* Static version of the {@see toObject} method.
|
* @param {boolean|undefined} includeInstance Deprecated. Whether to include
|
* the JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @param {!proto.tensorflow.OpDef.AttrDef} msg The msg instance to transform.
|
* @return {!Object}
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.OpDef.AttrDef.toObject = function(includeInstance, msg) {
|
var f, obj = {
|
name: jspb.Message.getFieldWithDefault(msg, 1, ""),
|
type: jspb.Message.getFieldWithDefault(msg, 2, ""),
|
defaultValue: (f = msg.getDefaultValue()) && proto.tensorflow.AttrValue.toObject(includeInstance, f),
|
description: jspb.Message.getFieldWithDefault(msg, 4, ""),
|
hasMinimum: jspb.Message.getBooleanFieldWithDefault(msg, 5, false),
|
minimum: jspb.Message.getFieldWithDefault(msg, 6, 0),
|
allowedValues: (f = msg.getAllowedValues()) && proto.tensorflow.AttrValue.toObject(includeInstance, f)
|
};
|
|
if (includeInstance) {
|
obj.$jspbMessageInstance = msg;
|
}
|
return obj;
|
};
|
}
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format).
|
* @param {jspb.ByteSource} bytes The bytes to deserialize.
|
* @return {!proto.tensorflow.OpDef.AttrDef}
|
*/
|
proto.tensorflow.OpDef.AttrDef.deserializeBinary = function(bytes) {
|
var reader = new jspb.BinaryReader(bytes);
|
var msg = new proto.tensorflow.OpDef.AttrDef;
|
return proto.tensorflow.OpDef.AttrDef.deserializeBinaryFromReader(msg, reader);
|
};
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format) from the
|
* given reader into the given message object.
|
* @param {!proto.tensorflow.OpDef.AttrDef} msg The message object to deserialize into.
|
* @param {!jspb.BinaryReader} reader The BinaryReader to use.
|
* @return {!proto.tensorflow.OpDef.AttrDef}
|
*/
|
proto.tensorflow.OpDef.AttrDef.deserializeBinaryFromReader = function(msg, reader) {
|
while (reader.nextField()) {
|
if (reader.isEndGroup()) {
|
break;
|
}
|
var field = reader.getFieldNumber();
|
switch (field) {
|
case 1:
|
var value = /** @type {string} */ (reader.readString());
|
msg.setName(value);
|
break;
|
case 2:
|
var value = /** @type {string} */ (reader.readString());
|
msg.setType(value);
|
break;
|
case 3:
|
var value = new proto.tensorflow.AttrValue;
|
reader.readMessage(value,proto.tensorflow.AttrValue.deserializeBinaryFromReader);
|
msg.setDefaultValue(value);
|
break;
|
case 4:
|
var value = /** @type {string} */ (reader.readString());
|
msg.setDescription(value);
|
break;
|
case 5:
|
var value = /** @type {boolean} */ (reader.readBool());
|
msg.setHasMinimum(value);
|
break;
|
case 6:
|
var value = /** @type {number} */ (reader.readInt64());
|
msg.setMinimum(value);
|
break;
|
case 7:
|
var value = new proto.tensorflow.AttrValue;
|
reader.readMessage(value,proto.tensorflow.AttrValue.deserializeBinaryFromReader);
|
msg.setAllowedValues(value);
|
break;
|
default:
|
reader.skipField();
|
break;
|
}
|
}
|
return msg;
|
};
|
|
|
/**
|
* Serializes the message to binary data (in protobuf wire format).
|
* @return {!Uint8Array}
|
*/
|
proto.tensorflow.OpDef.AttrDef.prototype.serializeBinary = function() {
|
var writer = new jspb.BinaryWriter();
|
proto.tensorflow.OpDef.AttrDef.serializeBinaryToWriter(this, writer);
|
return writer.getResultBuffer();
|
};
|
|
|
/**
|
* Serializes the given message to binary data (in protobuf wire
|
* format), writing to the given BinaryWriter.
|
* @param {!proto.tensorflow.OpDef.AttrDef} message
|
* @param {!jspb.BinaryWriter} writer
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.OpDef.AttrDef.serializeBinaryToWriter = function(message, writer) {
|
var f = undefined;
|
f = message.getName();
|
if (f.length > 0) {
|
writer.writeString(
|
1,
|
f
|
);
|
}
|
f = message.getType();
|
if (f.length > 0) {
|
writer.writeString(
|
2,
|
f
|
);
|
}
|
f = message.getDefaultValue();
|
if (f != null) {
|
writer.writeMessage(
|
3,
|
f,
|
proto.tensorflow.AttrValue.serializeBinaryToWriter
|
);
|
}
|
f = message.getDescription();
|
if (f.length > 0) {
|
writer.writeString(
|
4,
|
f
|
);
|
}
|
f = message.getHasMinimum();
|
if (f) {
|
writer.writeBool(
|
5,
|
f
|
);
|
}
|
f = message.getMinimum();
|
if (f !== 0) {
|
writer.writeInt64(
|
6,
|
f
|
);
|
}
|
f = message.getAllowedValues();
|
if (f != null) {
|
writer.writeMessage(
|
7,
|
f,
|
proto.tensorflow.AttrValue.serializeBinaryToWriter
|
);
|
}
|
};
|
|
|
/**
|
* optional string name = 1;
|
* @return {string}
|
*/
|
proto.tensorflow.OpDef.AttrDef.prototype.getName = function() {
|
return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 1, ""));
|
};
|
|
|
/**
|
* @param {string} value
|
* @return {!proto.tensorflow.OpDef.AttrDef} returns this
|
*/
|
proto.tensorflow.OpDef.AttrDef.prototype.setName = function(value) {
|
return jspb.Message.setProto3StringField(this, 1, value);
|
};
|
|
|
/**
|
* optional string type = 2;
|
* @return {string}
|
*/
|
proto.tensorflow.OpDef.AttrDef.prototype.getType = function() {
|
return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 2, ""));
|
};
|
|
|
/**
|
* @param {string} value
|
* @return {!proto.tensorflow.OpDef.AttrDef} returns this
|
*/
|
proto.tensorflow.OpDef.AttrDef.prototype.setType = function(value) {
|
return jspb.Message.setProto3StringField(this, 2, value);
|
};
|
|
|
/**
|
* optional AttrValue default_value = 3;
|
* @return {?proto.tensorflow.AttrValue}
|
*/
|
proto.tensorflow.OpDef.AttrDef.prototype.getDefaultValue = function() {
|
return /** @type{?proto.tensorflow.AttrValue} */ (
|
jspb.Message.getWrapperField(this, proto.tensorflow.AttrValue, 3));
|
};
|
|
|
/**
|
* @param {?proto.tensorflow.AttrValue|undefined} value
|
* @return {!proto.tensorflow.OpDef.AttrDef} returns this
|
*/
|
proto.tensorflow.OpDef.AttrDef.prototype.setDefaultValue = function(value) {
|
return jspb.Message.setWrapperField(this, 3, value);
|
};
|
|
|
/**
|
* Clears the message field making it undefined.
|
* @return {!proto.tensorflow.OpDef.AttrDef} returns this
|
*/
|
proto.tensorflow.OpDef.AttrDef.prototype.clearDefaultValue = function() {
|
return this.setDefaultValue(undefined);
|
};
|
|
|
/**
|
* Returns whether this field is set.
|
* @return {boolean}
|
*/
|
proto.tensorflow.OpDef.AttrDef.prototype.hasDefaultValue = function() {
|
return jspb.Message.getField(this, 3) != null;
|
};
|
|
|
/**
|
* optional string description = 4;
|
* @return {string}
|
*/
|
proto.tensorflow.OpDef.AttrDef.prototype.getDescription = function() {
|
return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 4, ""));
|
};
|
|
|
/**
|
* @param {string} value
|
* @return {!proto.tensorflow.OpDef.AttrDef} returns this
|
*/
|
proto.tensorflow.OpDef.AttrDef.prototype.setDescription = function(value) {
|
return jspb.Message.setProto3StringField(this, 4, value);
|
};
|
|
|
/**
|
* optional bool has_minimum = 5;
|
* @return {boolean}
|
*/
|
proto.tensorflow.OpDef.AttrDef.prototype.getHasMinimum = function() {
|
return /** @type {boolean} */ (jspb.Message.getBooleanFieldWithDefault(this, 5, false));
|
};
|
|
|
/**
|
* @param {boolean} value
|
* @return {!proto.tensorflow.OpDef.AttrDef} returns this
|
*/
|
proto.tensorflow.OpDef.AttrDef.prototype.setHasMinimum = function(value) {
|
return jspb.Message.setProto3BooleanField(this, 5, value);
|
};
|
|
|
/**
|
* optional int64 minimum = 6;
|
* @return {number}
|
*/
|
proto.tensorflow.OpDef.AttrDef.prototype.getMinimum = function() {
|
return /** @type {number} */ (jspb.Message.getFieldWithDefault(this, 6, 0));
|
};
|
|
|
/**
|
* @param {number} value
|
* @return {!proto.tensorflow.OpDef.AttrDef} returns this
|
*/
|
proto.tensorflow.OpDef.AttrDef.prototype.setMinimum = function(value) {
|
return jspb.Message.setProto3IntField(this, 6, value);
|
};
|
|
|
/**
|
* optional AttrValue allowed_values = 7;
|
* @return {?proto.tensorflow.AttrValue}
|
*/
|
proto.tensorflow.OpDef.AttrDef.prototype.getAllowedValues = function() {
|
return /** @type{?proto.tensorflow.AttrValue} */ (
|
jspb.Message.getWrapperField(this, proto.tensorflow.AttrValue, 7));
|
};
|
|
|
/**
|
* @param {?proto.tensorflow.AttrValue|undefined} value
|
* @return {!proto.tensorflow.OpDef.AttrDef} returns this
|
*/
|
proto.tensorflow.OpDef.AttrDef.prototype.setAllowedValues = function(value) {
|
return jspb.Message.setWrapperField(this, 7, value);
|
};
|
|
|
/**
|
* Clears the message field making it undefined.
|
* @return {!proto.tensorflow.OpDef.AttrDef} returns this
|
*/
|
proto.tensorflow.OpDef.AttrDef.prototype.clearAllowedValues = function() {
|
return this.setAllowedValues(undefined);
|
};
|
|
|
/**
|
* Returns whether this field is set.
|
* @return {boolean}
|
*/
|
proto.tensorflow.OpDef.AttrDef.prototype.hasAllowedValues = function() {
|
return jspb.Message.getField(this, 7) != null;
|
};
|
|
|
|
|
|
if (jspb.Message.GENERATE_TO_OBJECT) {
|
/**
|
* Creates an object representation of this proto.
|
* Field names that are reserved in JavaScript and will be renamed to pb_name.
|
* Optional fields that are not set will be set to undefined.
|
* To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
|
* For the list of reserved names please see:
|
* net/proto2/compiler/js/internal/generator.cc#kKeyword.
|
* @param {boolean=} opt_includeInstance Deprecated. whether to include the
|
* JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @return {!Object}
|
*/
|
proto.tensorflow.OpDef.OpDeprecation.prototype.toObject = function(opt_includeInstance) {
|
return proto.tensorflow.OpDef.OpDeprecation.toObject(opt_includeInstance, this);
|
};
|
|
|
/**
|
* Static version of the {@see toObject} method.
|
* @param {boolean|undefined} includeInstance Deprecated. Whether to include
|
* the JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @param {!proto.tensorflow.OpDef.OpDeprecation} msg The msg instance to transform.
|
* @return {!Object}
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.OpDef.OpDeprecation.toObject = function(includeInstance, msg) {
|
var f, obj = {
|
version: jspb.Message.getFieldWithDefault(msg, 1, 0),
|
explanation: jspb.Message.getFieldWithDefault(msg, 2, "")
|
};
|
|
if (includeInstance) {
|
obj.$jspbMessageInstance = msg;
|
}
|
return obj;
|
};
|
}
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format).
|
* @param {jspb.ByteSource} bytes The bytes to deserialize.
|
* @return {!proto.tensorflow.OpDef.OpDeprecation}
|
*/
|
proto.tensorflow.OpDef.OpDeprecation.deserializeBinary = function(bytes) {
|
var reader = new jspb.BinaryReader(bytes);
|
var msg = new proto.tensorflow.OpDef.OpDeprecation;
|
return proto.tensorflow.OpDef.OpDeprecation.deserializeBinaryFromReader(msg, reader);
|
};
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format) from the
|
* given reader into the given message object.
|
* @param {!proto.tensorflow.OpDef.OpDeprecation} msg The message object to deserialize into.
|
* @param {!jspb.BinaryReader} reader The BinaryReader to use.
|
* @return {!proto.tensorflow.OpDef.OpDeprecation}
|
*/
|
proto.tensorflow.OpDef.OpDeprecation.deserializeBinaryFromReader = function(msg, reader) {
|
while (reader.nextField()) {
|
if (reader.isEndGroup()) {
|
break;
|
}
|
var field = reader.getFieldNumber();
|
switch (field) {
|
case 1:
|
var value = /** @type {number} */ (reader.readInt32());
|
msg.setVersion(value);
|
break;
|
case 2:
|
var value = /** @type {string} */ (reader.readString());
|
msg.setExplanation(value);
|
break;
|
default:
|
reader.skipField();
|
break;
|
}
|
}
|
return msg;
|
};
|
|
|
/**
|
* Serializes the message to binary data (in protobuf wire format).
|
* @return {!Uint8Array}
|
*/
|
proto.tensorflow.OpDef.OpDeprecation.prototype.serializeBinary = function() {
|
var writer = new jspb.BinaryWriter();
|
proto.tensorflow.OpDef.OpDeprecation.serializeBinaryToWriter(this, writer);
|
return writer.getResultBuffer();
|
};
|
|
|
/**
|
* Serializes the given message to binary data (in protobuf wire
|
* format), writing to the given BinaryWriter.
|
* @param {!proto.tensorflow.OpDef.OpDeprecation} message
|
* @param {!jspb.BinaryWriter} writer
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.OpDef.OpDeprecation.serializeBinaryToWriter = function(message, writer) {
|
var f = undefined;
|
f = message.getVersion();
|
if (f !== 0) {
|
writer.writeInt32(
|
1,
|
f
|
);
|
}
|
f = message.getExplanation();
|
if (f.length > 0) {
|
writer.writeString(
|
2,
|
f
|
);
|
}
|
};
|
|
|
/**
|
* optional int32 version = 1;
|
* @return {number}
|
*/
|
proto.tensorflow.OpDef.OpDeprecation.prototype.getVersion = function() {
|
return /** @type {number} */ (jspb.Message.getFieldWithDefault(this, 1, 0));
|
};
|
|
|
/**
|
* @param {number} value
|
* @return {!proto.tensorflow.OpDef.OpDeprecation} returns this
|
*/
|
proto.tensorflow.OpDef.OpDeprecation.prototype.setVersion = function(value) {
|
return jspb.Message.setProto3IntField(this, 1, value);
|
};
|
|
|
/**
|
* optional string explanation = 2;
|
* @return {string}
|
*/
|
proto.tensorflow.OpDef.OpDeprecation.prototype.getExplanation = function() {
|
return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 2, ""));
|
};
|
|
|
/**
|
* @param {string} value
|
* @return {!proto.tensorflow.OpDef.OpDeprecation} returns this
|
*/
|
proto.tensorflow.OpDef.OpDeprecation.prototype.setExplanation = function(value) {
|
return jspb.Message.setProto3StringField(this, 2, value);
|
};
|
|
|
/**
|
* optional string name = 1;
|
* @return {string}
|
*/
|
proto.tensorflow.OpDef.prototype.getName = function() {
|
return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 1, ""));
|
};
|
|
|
/**
|
* @param {string} value
|
* @return {!proto.tensorflow.OpDef} returns this
|
*/
|
proto.tensorflow.OpDef.prototype.setName = function(value) {
|
return jspb.Message.setProto3StringField(this, 1, value);
|
};
|
|
|
/**
|
* repeated ArgDef input_arg = 2;
|
* @return {!Array<!proto.tensorflow.OpDef.ArgDef>}
|
*/
|
proto.tensorflow.OpDef.prototype.getInputArgList = function() {
|
return /** @type{!Array<!proto.tensorflow.OpDef.ArgDef>} */ (
|
jspb.Message.getRepeatedWrapperField(this, proto.tensorflow.OpDef.ArgDef, 2));
|
};
|
|
|
/**
|
* @param {!Array<!proto.tensorflow.OpDef.ArgDef>} value
|
* @return {!proto.tensorflow.OpDef} returns this
|
*/
|
proto.tensorflow.OpDef.prototype.setInputArgList = function(value) {
|
return jspb.Message.setRepeatedWrapperField(this, 2, value);
|
};
|
|
|
/**
|
* @param {!proto.tensorflow.OpDef.ArgDef=} opt_value
|
* @param {number=} opt_index
|
* @return {!proto.tensorflow.OpDef.ArgDef}
|
*/
|
proto.tensorflow.OpDef.prototype.addInputArg = function(opt_value, opt_index) {
|
return jspb.Message.addToRepeatedWrapperField(this, 2, opt_value, proto.tensorflow.OpDef.ArgDef, opt_index);
|
};
|
|
|
/**
|
* Clears the list making it empty but non-null.
|
* @return {!proto.tensorflow.OpDef} returns this
|
*/
|
proto.tensorflow.OpDef.prototype.clearInputArgList = function() {
|
return this.setInputArgList([]);
|
};
|
|
|
/**
|
* repeated ArgDef output_arg = 3;
|
* @return {!Array<!proto.tensorflow.OpDef.ArgDef>}
|
*/
|
proto.tensorflow.OpDef.prototype.getOutputArgList = function() {
|
return /** @type{!Array<!proto.tensorflow.OpDef.ArgDef>} */ (
|
jspb.Message.getRepeatedWrapperField(this, proto.tensorflow.OpDef.ArgDef, 3));
|
};
|
|
|
/**
|
* @param {!Array<!proto.tensorflow.OpDef.ArgDef>} value
|
* @return {!proto.tensorflow.OpDef} returns this
|
*/
|
proto.tensorflow.OpDef.prototype.setOutputArgList = function(value) {
|
return jspb.Message.setRepeatedWrapperField(this, 3, value);
|
};
|
|
|
/**
|
* @param {!proto.tensorflow.OpDef.ArgDef=} opt_value
|
* @param {number=} opt_index
|
* @return {!proto.tensorflow.OpDef.ArgDef}
|
*/
|
proto.tensorflow.OpDef.prototype.addOutputArg = function(opt_value, opt_index) {
|
return jspb.Message.addToRepeatedWrapperField(this, 3, opt_value, proto.tensorflow.OpDef.ArgDef, opt_index);
|
};
|
|
|
/**
|
* Clears the list making it empty but non-null.
|
* @return {!proto.tensorflow.OpDef} returns this
|
*/
|
proto.tensorflow.OpDef.prototype.clearOutputArgList = function() {
|
return this.setOutputArgList([]);
|
};
|
|
|
/**
|
* repeated AttrDef attr = 4;
|
* @return {!Array<!proto.tensorflow.OpDef.AttrDef>}
|
*/
|
proto.tensorflow.OpDef.prototype.getAttrList = function() {
|
return /** @type{!Array<!proto.tensorflow.OpDef.AttrDef>} */ (
|
jspb.Message.getRepeatedWrapperField(this, proto.tensorflow.OpDef.AttrDef, 4));
|
};
|
|
|
/**
|
* @param {!Array<!proto.tensorflow.OpDef.AttrDef>} value
|
* @return {!proto.tensorflow.OpDef} returns this
|
*/
|
proto.tensorflow.OpDef.prototype.setAttrList = function(value) {
|
return jspb.Message.setRepeatedWrapperField(this, 4, value);
|
};
|
|
|
/**
|
* @param {!proto.tensorflow.OpDef.AttrDef=} opt_value
|
* @param {number=} opt_index
|
* @return {!proto.tensorflow.OpDef.AttrDef}
|
*/
|
proto.tensorflow.OpDef.prototype.addAttr = function(opt_value, opt_index) {
|
return jspb.Message.addToRepeatedWrapperField(this, 4, opt_value, proto.tensorflow.OpDef.AttrDef, opt_index);
|
};
|
|
|
/**
|
* Clears the list making it empty but non-null.
|
* @return {!proto.tensorflow.OpDef} returns this
|
*/
|
proto.tensorflow.OpDef.prototype.clearAttrList = function() {
|
return this.setAttrList([]);
|
};
|
|
|
/**
|
* optional OpDeprecation deprecation = 8;
|
* @return {?proto.tensorflow.OpDef.OpDeprecation}
|
*/
|
proto.tensorflow.OpDef.prototype.getDeprecation = function() {
|
return /** @type{?proto.tensorflow.OpDef.OpDeprecation} */ (
|
jspb.Message.getWrapperField(this, proto.tensorflow.OpDef.OpDeprecation, 8));
|
};
|
|
|
/**
|
* @param {?proto.tensorflow.OpDef.OpDeprecation|undefined} value
|
* @return {!proto.tensorflow.OpDef} returns this
|
*/
|
proto.tensorflow.OpDef.prototype.setDeprecation = function(value) {
|
return jspb.Message.setWrapperField(this, 8, value);
|
};
|
|
|
/**
|
* Clears the message field making it undefined.
|
* @return {!proto.tensorflow.OpDef} returns this
|
*/
|
proto.tensorflow.OpDef.prototype.clearDeprecation = function() {
|
return this.setDeprecation(undefined);
|
};
|
|
|
/**
|
* Returns whether this field is set.
|
* @return {boolean}
|
*/
|
proto.tensorflow.OpDef.prototype.hasDeprecation = function() {
|
return jspb.Message.getField(this, 8) != null;
|
};
|
|
|
/**
|
* optional string summary = 5;
|
* @return {string}
|
*/
|
proto.tensorflow.OpDef.prototype.getSummary = function() {
|
return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 5, ""));
|
};
|
|
|
/**
|
* @param {string} value
|
* @return {!proto.tensorflow.OpDef} returns this
|
*/
|
proto.tensorflow.OpDef.prototype.setSummary = function(value) {
|
return jspb.Message.setProto3StringField(this, 5, value);
|
};
|
|
|
/**
|
* optional string description = 6;
|
* @return {string}
|
*/
|
proto.tensorflow.OpDef.prototype.getDescription = function() {
|
return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 6, ""));
|
};
|
|
|
/**
|
* @param {string} value
|
* @return {!proto.tensorflow.OpDef} returns this
|
*/
|
proto.tensorflow.OpDef.prototype.setDescription = function(value) {
|
return jspb.Message.setProto3StringField(this, 6, value);
|
};
|
|
|
/**
|
* optional bool is_commutative = 18;
|
* @return {boolean}
|
*/
|
proto.tensorflow.OpDef.prototype.getIsCommutative = function() {
|
return /** @type {boolean} */ (jspb.Message.getBooleanFieldWithDefault(this, 18, false));
|
};
|
|
|
/**
|
* @param {boolean} value
|
* @return {!proto.tensorflow.OpDef} returns this
|
*/
|
proto.tensorflow.OpDef.prototype.setIsCommutative = function(value) {
|
return jspb.Message.setProto3BooleanField(this, 18, value);
|
};
|
|
|
/**
|
* optional bool is_aggregate = 16;
|
* @return {boolean}
|
*/
|
proto.tensorflow.OpDef.prototype.getIsAggregate = function() {
|
return /** @type {boolean} */ (jspb.Message.getBooleanFieldWithDefault(this, 16, false));
|
};
|
|
|
/**
|
* @param {boolean} value
|
* @return {!proto.tensorflow.OpDef} returns this
|
*/
|
proto.tensorflow.OpDef.prototype.setIsAggregate = function(value) {
|
return jspb.Message.setProto3BooleanField(this, 16, value);
|
};
|
|
|
/**
|
* optional bool is_stateful = 17;
|
* @return {boolean}
|
*/
|
proto.tensorflow.OpDef.prototype.getIsStateful = function() {
|
return /** @type {boolean} */ (jspb.Message.getBooleanFieldWithDefault(this, 17, false));
|
};
|
|
|
/**
|
* @param {boolean} value
|
* @return {!proto.tensorflow.OpDef} returns this
|
*/
|
proto.tensorflow.OpDef.prototype.setIsStateful = function(value) {
|
return jspb.Message.setProto3BooleanField(this, 17, value);
|
};
|
|
|
/**
|
* optional bool allows_uninitialized_input = 19;
|
* @return {boolean}
|
*/
|
proto.tensorflow.OpDef.prototype.getAllowsUninitializedInput = function() {
|
return /** @type {boolean} */ (jspb.Message.getBooleanFieldWithDefault(this, 19, false));
|
};
|
|
|
/**
|
* @param {boolean} value
|
* @return {!proto.tensorflow.OpDef} returns this
|
*/
|
proto.tensorflow.OpDef.prototype.setAllowsUninitializedInput = function(value) {
|
return jspb.Message.setProto3BooleanField(this, 19, value);
|
};
|
|
|
|
/**
|
* List of repeated fields within this message type.
|
* @private {!Array<number>}
|
* @const
|
*/
|
proto.tensorflow.OpList.repeatedFields_ = [1];
|
|
|
|
if (jspb.Message.GENERATE_TO_OBJECT) {
|
/**
|
* Creates an object representation of this proto.
|
* Field names that are reserved in JavaScript and will be renamed to pb_name.
|
* Optional fields that are not set will be set to undefined.
|
* To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
|
* For the list of reserved names please see:
|
* net/proto2/compiler/js/internal/generator.cc#kKeyword.
|
* @param {boolean=} opt_includeInstance Deprecated. whether to include the
|
* JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @return {!Object}
|
*/
|
proto.tensorflow.OpList.prototype.toObject = function(opt_includeInstance) {
|
return proto.tensorflow.OpList.toObject(opt_includeInstance, this);
|
};
|
|
|
/**
|
* Static version of the {@see toObject} method.
|
* @param {boolean|undefined} includeInstance Deprecated. Whether to include
|
* the JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @param {!proto.tensorflow.OpList} msg The msg instance to transform.
|
* @return {!Object}
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.OpList.toObject = function(includeInstance, msg) {
|
var f, obj = {
|
opList: jspb.Message.toObjectList(msg.getOpList(),
|
proto.tensorflow.OpDef.toObject, includeInstance)
|
};
|
|
if (includeInstance) {
|
obj.$jspbMessageInstance = msg;
|
}
|
return obj;
|
};
|
}
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format).
|
* @param {jspb.ByteSource} bytes The bytes to deserialize.
|
* @return {!proto.tensorflow.OpList}
|
*/
|
proto.tensorflow.OpList.deserializeBinary = function(bytes) {
|
var reader = new jspb.BinaryReader(bytes);
|
var msg = new proto.tensorflow.OpList;
|
return proto.tensorflow.OpList.deserializeBinaryFromReader(msg, reader);
|
};
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format) from the
|
* given reader into the given message object.
|
* @param {!proto.tensorflow.OpList} msg The message object to deserialize into.
|
* @param {!jspb.BinaryReader} reader The BinaryReader to use.
|
* @return {!proto.tensorflow.OpList}
|
*/
|
proto.tensorflow.OpList.deserializeBinaryFromReader = function(msg, reader) {
|
while (reader.nextField()) {
|
if (reader.isEndGroup()) {
|
break;
|
}
|
var field = reader.getFieldNumber();
|
switch (field) {
|
case 1:
|
var value = new proto.tensorflow.OpDef;
|
reader.readMessage(value,proto.tensorflow.OpDef.deserializeBinaryFromReader);
|
msg.addOp(value);
|
break;
|
default:
|
reader.skipField();
|
break;
|
}
|
}
|
return msg;
|
};
|
|
|
/**
|
* Serializes the message to binary data (in protobuf wire format).
|
* @return {!Uint8Array}
|
*/
|
proto.tensorflow.OpList.prototype.serializeBinary = function() {
|
var writer = new jspb.BinaryWriter();
|
proto.tensorflow.OpList.serializeBinaryToWriter(this, writer);
|
return writer.getResultBuffer();
|
};
|
|
|
/**
|
* Serializes the given message to binary data (in protobuf wire
|
* format), writing to the given BinaryWriter.
|
* @param {!proto.tensorflow.OpList} message
|
* @param {!jspb.BinaryWriter} writer
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.OpList.serializeBinaryToWriter = function(message, writer) {
|
var f = undefined;
|
f = message.getOpList();
|
if (f.length > 0) {
|
writer.writeRepeatedMessage(
|
1,
|
f,
|
proto.tensorflow.OpDef.serializeBinaryToWriter
|
);
|
}
|
};
|
|
|
/**
|
* repeated OpDef op = 1;
|
* @return {!Array<!proto.tensorflow.OpDef>}
|
*/
|
proto.tensorflow.OpList.prototype.getOpList = function() {
|
return /** @type{!Array<!proto.tensorflow.OpDef>} */ (
|
jspb.Message.getRepeatedWrapperField(this, proto.tensorflow.OpDef, 1));
|
};
|
|
|
/**
|
* @param {!Array<!proto.tensorflow.OpDef>} value
|
* @return {!proto.tensorflow.OpList} returns this
|
*/
|
proto.tensorflow.OpList.prototype.setOpList = function(value) {
|
return jspb.Message.setRepeatedWrapperField(this, 1, value);
|
};
|
|
|
/**
|
* @param {!proto.tensorflow.OpDef=} opt_value
|
* @param {number=} opt_index
|
* @return {!proto.tensorflow.OpDef}
|
*/
|
proto.tensorflow.OpList.prototype.addOp = function(opt_value, opt_index) {
|
return jspb.Message.addToRepeatedWrapperField(this, 1, opt_value, proto.tensorflow.OpDef, opt_index);
|
};
|
|
|
/**
|
* Clears the list making it empty but non-null.
|
* @return {!proto.tensorflow.OpList} returns this
|
*/
|
proto.tensorflow.OpList.prototype.clearOpList = function() {
|
return this.setOpList([]);
|
};
|
|
|
|
/**
|
* List of repeated fields within this message type.
|
* @private {!Array<number>}
|
* @const
|
*/
|
proto.tensorflow.MetaGraphDef.repeatedFields_ = [6];
|
|
|
|
if (jspb.Message.GENERATE_TO_OBJECT) {
|
/**
|
* Creates an object representation of this proto.
|
* Field names that are reserved in JavaScript and will be renamed to pb_name.
|
* Optional fields that are not set will be set to undefined.
|
* To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
|
* For the list of reserved names please see:
|
* net/proto2/compiler/js/internal/generator.cc#kKeyword.
|
* @param {boolean=} opt_includeInstance Deprecated. whether to include the
|
* JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @return {!Object}
|
*/
|
proto.tensorflow.MetaGraphDef.prototype.toObject = function(opt_includeInstance) {
|
return proto.tensorflow.MetaGraphDef.toObject(opt_includeInstance, this);
|
};
|
|
|
/**
|
* Static version of the {@see toObject} method.
|
* @param {boolean|undefined} includeInstance Deprecated. Whether to include
|
* the JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @param {!proto.tensorflow.MetaGraphDef} msg The msg instance to transform.
|
* @return {!Object}
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.MetaGraphDef.toObject = function(includeInstance, msg) {
|
var f, obj = {
|
metaInfoDef: (f = msg.getMetaInfoDef()) && proto.tensorflow.MetaGraphDef.MetaInfoDef.toObject(includeInstance, f),
|
graphDef: (f = msg.getGraphDef()) && proto.tensorflow.GraphDef.toObject(includeInstance, f),
|
saverDef: (f = msg.getSaverDef()) && proto.tensorflow.SaverDef.toObject(includeInstance, f),
|
collectionDefMap: (f = msg.getCollectionDefMap()) ? f.toObject(includeInstance, proto.tensorflow.CollectionDef.toObject) : [],
|
signatureDefMap: (f = msg.getSignatureDefMap()) ? f.toObject(includeInstance, proto.tensorflow.SignatureDef.toObject) : [],
|
assetFileDefList: jspb.Message.toObjectList(msg.getAssetFileDefList(),
|
proto.tensorflow.AssetFileDef.toObject, includeInstance)
|
};
|
|
if (includeInstance) {
|
obj.$jspbMessageInstance = msg;
|
}
|
return obj;
|
};
|
}
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format).
|
* @param {jspb.ByteSource} bytes The bytes to deserialize.
|
* @return {!proto.tensorflow.MetaGraphDef}
|
*/
|
proto.tensorflow.MetaGraphDef.deserializeBinary = function(bytes) {
|
var reader = new jspb.BinaryReader(bytes);
|
var msg = new proto.tensorflow.MetaGraphDef;
|
return proto.tensorflow.MetaGraphDef.deserializeBinaryFromReader(msg, reader);
|
};
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format) from the
|
* given reader into the given message object.
|
* @param {!proto.tensorflow.MetaGraphDef} msg The message object to deserialize into.
|
* @param {!jspb.BinaryReader} reader The BinaryReader to use.
|
* @return {!proto.tensorflow.MetaGraphDef}
|
*/
|
proto.tensorflow.MetaGraphDef.deserializeBinaryFromReader = function(msg, reader) {
|
while (reader.nextField()) {
|
if (reader.isEndGroup()) {
|
break;
|
}
|
var field = reader.getFieldNumber();
|
switch (field) {
|
case 1:
|
var value = new proto.tensorflow.MetaGraphDef.MetaInfoDef;
|
reader.readMessage(value,proto.tensorflow.MetaGraphDef.MetaInfoDef.deserializeBinaryFromReader);
|
msg.setMetaInfoDef(value);
|
break;
|
case 2:
|
var value = new proto.tensorflow.GraphDef;
|
reader.readMessage(value,proto.tensorflow.GraphDef.deserializeBinaryFromReader);
|
msg.setGraphDef(value);
|
break;
|
case 3:
|
var value = new proto.tensorflow.SaverDef;
|
reader.readMessage(value,proto.tensorflow.SaverDef.deserializeBinaryFromReader);
|
msg.setSaverDef(value);
|
break;
|
case 4:
|
var value = msg.getCollectionDefMap();
|
reader.readMessage(value, function(message, reader) {
|
jspb.Map.deserializeBinary(message, reader, jspb.BinaryReader.prototype.readString, jspb.BinaryReader.prototype.readMessage, proto.tensorflow.CollectionDef.deserializeBinaryFromReader, "", new proto.tensorflow.CollectionDef());
|
});
|
break;
|
case 5:
|
var value = msg.getSignatureDefMap();
|
reader.readMessage(value, function(message, reader) {
|
jspb.Map.deserializeBinary(message, reader, jspb.BinaryReader.prototype.readString, jspb.BinaryReader.prototype.readMessage, proto.tensorflow.SignatureDef.deserializeBinaryFromReader, "", new proto.tensorflow.SignatureDef());
|
});
|
break;
|
case 6:
|
var value = new proto.tensorflow.AssetFileDef;
|
reader.readMessage(value,proto.tensorflow.AssetFileDef.deserializeBinaryFromReader);
|
msg.addAssetFileDef(value);
|
break;
|
default:
|
reader.skipField();
|
break;
|
}
|
}
|
return msg;
|
};
|
|
|
/**
|
* Serializes the message to binary data (in protobuf wire format).
|
* @return {!Uint8Array}
|
*/
|
proto.tensorflow.MetaGraphDef.prototype.serializeBinary = function() {
|
var writer = new jspb.BinaryWriter();
|
proto.tensorflow.MetaGraphDef.serializeBinaryToWriter(this, writer);
|
return writer.getResultBuffer();
|
};
|
|
|
/**
|
* Serializes the given message to binary data (in protobuf wire
|
* format), writing to the given BinaryWriter.
|
* @param {!proto.tensorflow.MetaGraphDef} message
|
* @param {!jspb.BinaryWriter} writer
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.MetaGraphDef.serializeBinaryToWriter = function(message, writer) {
|
var f = undefined;
|
f = message.getMetaInfoDef();
|
if (f != null) {
|
writer.writeMessage(
|
1,
|
f,
|
proto.tensorflow.MetaGraphDef.MetaInfoDef.serializeBinaryToWriter
|
);
|
}
|
f = message.getGraphDef();
|
if (f != null) {
|
writer.writeMessage(
|
2,
|
f,
|
proto.tensorflow.GraphDef.serializeBinaryToWriter
|
);
|
}
|
f = message.getSaverDef();
|
if (f != null) {
|
writer.writeMessage(
|
3,
|
f,
|
proto.tensorflow.SaverDef.serializeBinaryToWriter
|
);
|
}
|
f = message.getCollectionDefMap(true);
|
if (f && f.getLength() > 0) {
|
f.serializeBinary(4, writer, jspb.BinaryWriter.prototype.writeString, jspb.BinaryWriter.prototype.writeMessage, proto.tensorflow.CollectionDef.serializeBinaryToWriter);
|
}
|
f = message.getSignatureDefMap(true);
|
if (f && f.getLength() > 0) {
|
f.serializeBinary(5, writer, jspb.BinaryWriter.prototype.writeString, jspb.BinaryWriter.prototype.writeMessage, proto.tensorflow.SignatureDef.serializeBinaryToWriter);
|
}
|
f = message.getAssetFileDefList();
|
if (f.length > 0) {
|
writer.writeRepeatedMessage(
|
6,
|
f,
|
proto.tensorflow.AssetFileDef.serializeBinaryToWriter
|
);
|
}
|
};
|
|
|
|
/**
|
* List of repeated fields within this message type.
|
* @private {!Array<number>}
|
* @const
|
*/
|
proto.tensorflow.MetaGraphDef.MetaInfoDef.repeatedFields_ = [4];
|
|
|
|
if (jspb.Message.GENERATE_TO_OBJECT) {
|
/**
|
* Creates an object representation of this proto.
|
* Field names that are reserved in JavaScript and will be renamed to pb_name.
|
* Optional fields that are not set will be set to undefined.
|
* To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
|
* For the list of reserved names please see:
|
* net/proto2/compiler/js/internal/generator.cc#kKeyword.
|
* @param {boolean=} opt_includeInstance Deprecated. whether to include the
|
* JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @return {!Object}
|
*/
|
proto.tensorflow.MetaGraphDef.MetaInfoDef.prototype.toObject = function(opt_includeInstance) {
|
return proto.tensorflow.MetaGraphDef.MetaInfoDef.toObject(opt_includeInstance, this);
|
};
|
|
|
/**
|
* Static version of the {@see toObject} method.
|
* @param {boolean|undefined} includeInstance Deprecated. Whether to include
|
* the JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @param {!proto.tensorflow.MetaGraphDef.MetaInfoDef} msg The msg instance to transform.
|
* @return {!Object}
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.MetaGraphDef.MetaInfoDef.toObject = function(includeInstance, msg) {
|
var f, obj = {
|
metaGraphVersion: jspb.Message.getFieldWithDefault(msg, 1, ""),
|
strippedOpList: (f = msg.getStrippedOpList()) && proto.tensorflow.OpList.toObject(includeInstance, f),
|
anyInfo: (f = msg.getAnyInfo()) && proto.tensorflow.Any.toObject(includeInstance, f),
|
tagsList: (f = jspb.Message.getRepeatedField(msg, 4)) == null ? undefined : f,
|
tensorflowVersion: jspb.Message.getFieldWithDefault(msg, 5, ""),
|
tensorflowGitVersion: jspb.Message.getFieldWithDefault(msg, 6, "")
|
};
|
|
if (includeInstance) {
|
obj.$jspbMessageInstance = msg;
|
}
|
return obj;
|
};
|
}
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format).
|
* @param {jspb.ByteSource} bytes The bytes to deserialize.
|
* @return {!proto.tensorflow.MetaGraphDef.MetaInfoDef}
|
*/
|
proto.tensorflow.MetaGraphDef.MetaInfoDef.deserializeBinary = function(bytes) {
|
var reader = new jspb.BinaryReader(bytes);
|
var msg = new proto.tensorflow.MetaGraphDef.MetaInfoDef;
|
return proto.tensorflow.MetaGraphDef.MetaInfoDef.deserializeBinaryFromReader(msg, reader);
|
};
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format) from the
|
* given reader into the given message object.
|
* @param {!proto.tensorflow.MetaGraphDef.MetaInfoDef} msg The message object to deserialize into.
|
* @param {!jspb.BinaryReader} reader The BinaryReader to use.
|
* @return {!proto.tensorflow.MetaGraphDef.MetaInfoDef}
|
*/
|
proto.tensorflow.MetaGraphDef.MetaInfoDef.deserializeBinaryFromReader = function(msg, reader) {
|
while (reader.nextField()) {
|
if (reader.isEndGroup()) {
|
break;
|
}
|
var field = reader.getFieldNumber();
|
switch (field) {
|
case 1:
|
var value = /** @type {string} */ (reader.readString());
|
msg.setMetaGraphVersion(value);
|
break;
|
case 2:
|
var value = new proto.tensorflow.OpList;
|
reader.readMessage(value,proto.tensorflow.OpList.deserializeBinaryFromReader);
|
msg.setStrippedOpList(value);
|
break;
|
case 3:
|
var value = new proto.tensorflow.Any;
|
reader.readMessage(value,proto.tensorflow.Any.deserializeBinaryFromReader);
|
msg.setAnyInfo(value);
|
break;
|
case 4:
|
var value = /** @type {string} */ (reader.readString());
|
msg.addTags(value);
|
break;
|
case 5:
|
var value = /** @type {string} */ (reader.readString());
|
msg.setTensorflowVersion(value);
|
break;
|
case 6:
|
var value = /** @type {string} */ (reader.readString());
|
msg.setTensorflowGitVersion(value);
|
break;
|
default:
|
reader.skipField();
|
break;
|
}
|
}
|
return msg;
|
};
|
|
|
/**
|
* Serializes the message to binary data (in protobuf wire format).
|
* @return {!Uint8Array}
|
*/
|
proto.tensorflow.MetaGraphDef.MetaInfoDef.prototype.serializeBinary = function() {
|
var writer = new jspb.BinaryWriter();
|
proto.tensorflow.MetaGraphDef.MetaInfoDef.serializeBinaryToWriter(this, writer);
|
return writer.getResultBuffer();
|
};
|
|
|
/**
|
* Serializes the given message to binary data (in protobuf wire
|
* format), writing to the given BinaryWriter.
|
* @param {!proto.tensorflow.MetaGraphDef.MetaInfoDef} message
|
* @param {!jspb.BinaryWriter} writer
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.MetaGraphDef.MetaInfoDef.serializeBinaryToWriter = function(message, writer) {
|
var f = undefined;
|
f = message.getMetaGraphVersion();
|
if (f.length > 0) {
|
writer.writeString(
|
1,
|
f
|
);
|
}
|
f = message.getStrippedOpList();
|
if (f != null) {
|
writer.writeMessage(
|
2,
|
f,
|
proto.tensorflow.OpList.serializeBinaryToWriter
|
);
|
}
|
f = message.getAnyInfo();
|
if (f != null) {
|
writer.writeMessage(
|
3,
|
f,
|
proto.tensorflow.Any.serializeBinaryToWriter
|
);
|
}
|
f = message.getTagsList();
|
if (f.length > 0) {
|
writer.writeRepeatedString(
|
4,
|
f
|
);
|
}
|
f = message.getTensorflowVersion();
|
if (f.length > 0) {
|
writer.writeString(
|
5,
|
f
|
);
|
}
|
f = message.getTensorflowGitVersion();
|
if (f.length > 0) {
|
writer.writeString(
|
6,
|
f
|
);
|
}
|
};
|
|
|
/**
|
* optional string meta_graph_version = 1;
|
* @return {string}
|
*/
|
proto.tensorflow.MetaGraphDef.MetaInfoDef.prototype.getMetaGraphVersion = function() {
|
return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 1, ""));
|
};
|
|
|
/**
|
* @param {string} value
|
* @return {!proto.tensorflow.MetaGraphDef.MetaInfoDef} returns this
|
*/
|
proto.tensorflow.MetaGraphDef.MetaInfoDef.prototype.setMetaGraphVersion = function(value) {
|
return jspb.Message.setProto3StringField(this, 1, value);
|
};
|
|
|
/**
|
* optional OpList stripped_op_list = 2;
|
* @return {?proto.tensorflow.OpList}
|
*/
|
proto.tensorflow.MetaGraphDef.MetaInfoDef.prototype.getStrippedOpList = function() {
|
return /** @type{?proto.tensorflow.OpList} */ (
|
jspb.Message.getWrapperField(this, proto.tensorflow.OpList, 2));
|
};
|
|
|
/**
|
* @param {?proto.tensorflow.OpList|undefined} value
|
* @return {!proto.tensorflow.MetaGraphDef.MetaInfoDef} returns this
|
*/
|
proto.tensorflow.MetaGraphDef.MetaInfoDef.prototype.setStrippedOpList = function(value) {
|
return jspb.Message.setWrapperField(this, 2, value);
|
};
|
|
|
/**
|
* Clears the message field making it undefined.
|
* @return {!proto.tensorflow.MetaGraphDef.MetaInfoDef} returns this
|
*/
|
proto.tensorflow.MetaGraphDef.MetaInfoDef.prototype.clearStrippedOpList = function() {
|
return this.setStrippedOpList(undefined);
|
};
|
|
|
/**
|
* Returns whether this field is set.
|
* @return {boolean}
|
*/
|
proto.tensorflow.MetaGraphDef.MetaInfoDef.prototype.hasStrippedOpList = function() {
|
return jspb.Message.getField(this, 2) != null;
|
};
|
|
|
/**
|
* optional Any any_info = 3;
|
* @return {?proto.tensorflow.Any}
|
*/
|
proto.tensorflow.MetaGraphDef.MetaInfoDef.prototype.getAnyInfo = function() {
|
return /** @type{?proto.tensorflow.Any} */ (
|
jspb.Message.getWrapperField(this, proto.tensorflow.Any, 3));
|
};
|
|
|
/**
|
* @param {?proto.tensorflow.Any|undefined} value
|
* @return {!proto.tensorflow.MetaGraphDef.MetaInfoDef} returns this
|
*/
|
proto.tensorflow.MetaGraphDef.MetaInfoDef.prototype.setAnyInfo = function(value) {
|
return jspb.Message.setWrapperField(this, 3, value);
|
};
|
|
|
/**
|
* Clears the message field making it undefined.
|
* @return {!proto.tensorflow.MetaGraphDef.MetaInfoDef} returns this
|
*/
|
proto.tensorflow.MetaGraphDef.MetaInfoDef.prototype.clearAnyInfo = function() {
|
return this.setAnyInfo(undefined);
|
};
|
|
|
/**
|
* Returns whether this field is set.
|
* @return {boolean}
|
*/
|
proto.tensorflow.MetaGraphDef.MetaInfoDef.prototype.hasAnyInfo = function() {
|
return jspb.Message.getField(this, 3) != null;
|
};
|
|
|
/**
|
* repeated string tags = 4;
|
* @return {!Array<string>}
|
*/
|
proto.tensorflow.MetaGraphDef.MetaInfoDef.prototype.getTagsList = function() {
|
return /** @type {!Array<string>} */ (jspb.Message.getRepeatedField(this, 4));
|
};
|
|
|
/**
|
* @param {!Array<string>} value
|
* @return {!proto.tensorflow.MetaGraphDef.MetaInfoDef} returns this
|
*/
|
proto.tensorflow.MetaGraphDef.MetaInfoDef.prototype.setTagsList = function(value) {
|
return jspb.Message.setField(this, 4, value || []);
|
};
|
|
|
/**
|
* @param {string} value
|
* @param {number=} opt_index
|
* @return {!proto.tensorflow.MetaGraphDef.MetaInfoDef} returns this
|
*/
|
proto.tensorflow.MetaGraphDef.MetaInfoDef.prototype.addTags = function(value, opt_index) {
|
return jspb.Message.addToRepeatedField(this, 4, value, opt_index);
|
};
|
|
|
/**
|
* Clears the list making it empty but non-null.
|
* @return {!proto.tensorflow.MetaGraphDef.MetaInfoDef} returns this
|
*/
|
proto.tensorflow.MetaGraphDef.MetaInfoDef.prototype.clearTagsList = function() {
|
return this.setTagsList([]);
|
};
|
|
|
/**
|
* optional string tensorflow_version = 5;
|
* @return {string}
|
*/
|
proto.tensorflow.MetaGraphDef.MetaInfoDef.prototype.getTensorflowVersion = function() {
|
return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 5, ""));
|
};
|
|
|
/**
|
* @param {string} value
|
* @return {!proto.tensorflow.MetaGraphDef.MetaInfoDef} returns this
|
*/
|
proto.tensorflow.MetaGraphDef.MetaInfoDef.prototype.setTensorflowVersion = function(value) {
|
return jspb.Message.setProto3StringField(this, 5, value);
|
};
|
|
|
/**
|
* optional string tensorflow_git_version = 6;
|
* @return {string}
|
*/
|
proto.tensorflow.MetaGraphDef.MetaInfoDef.prototype.getTensorflowGitVersion = function() {
|
return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 6, ""));
|
};
|
|
|
/**
|
* @param {string} value
|
* @return {!proto.tensorflow.MetaGraphDef.MetaInfoDef} returns this
|
*/
|
proto.tensorflow.MetaGraphDef.MetaInfoDef.prototype.setTensorflowGitVersion = function(value) {
|
return jspb.Message.setProto3StringField(this, 6, value);
|
};
|
|
|
/**
|
* optional MetaInfoDef meta_info_def = 1;
|
* @return {?proto.tensorflow.MetaGraphDef.MetaInfoDef}
|
*/
|
proto.tensorflow.MetaGraphDef.prototype.getMetaInfoDef = function() {
|
return /** @type{?proto.tensorflow.MetaGraphDef.MetaInfoDef} */ (
|
jspb.Message.getWrapperField(this, proto.tensorflow.MetaGraphDef.MetaInfoDef, 1));
|
};
|
|
|
/**
|
* @param {?proto.tensorflow.MetaGraphDef.MetaInfoDef|undefined} value
|
* @return {!proto.tensorflow.MetaGraphDef} returns this
|
*/
|
proto.tensorflow.MetaGraphDef.prototype.setMetaInfoDef = function(value) {
|
return jspb.Message.setWrapperField(this, 1, value);
|
};
|
|
|
/**
|
* Clears the message field making it undefined.
|
* @return {!proto.tensorflow.MetaGraphDef} returns this
|
*/
|
proto.tensorflow.MetaGraphDef.prototype.clearMetaInfoDef = function() {
|
return this.setMetaInfoDef(undefined);
|
};
|
|
|
/**
|
* Returns whether this field is set.
|
* @return {boolean}
|
*/
|
proto.tensorflow.MetaGraphDef.prototype.hasMetaInfoDef = function() {
|
return jspb.Message.getField(this, 1) != null;
|
};
|
|
|
/**
|
* optional GraphDef graph_def = 2;
|
* @return {?proto.tensorflow.GraphDef}
|
*/
|
proto.tensorflow.MetaGraphDef.prototype.getGraphDef = function() {
|
return /** @type{?proto.tensorflow.GraphDef} */ (
|
jspb.Message.getWrapperField(this, proto.tensorflow.GraphDef, 2));
|
};
|
|
|
/**
|
* @param {?proto.tensorflow.GraphDef|undefined} value
|
* @return {!proto.tensorflow.MetaGraphDef} returns this
|
*/
|
proto.tensorflow.MetaGraphDef.prototype.setGraphDef = function(value) {
|
return jspb.Message.setWrapperField(this, 2, value);
|
};
|
|
|
/**
|
* Clears the message field making it undefined.
|
* @return {!proto.tensorflow.MetaGraphDef} returns this
|
*/
|
proto.tensorflow.MetaGraphDef.prototype.clearGraphDef = function() {
|
return this.setGraphDef(undefined);
|
};
|
|
|
/**
|
* Returns whether this field is set.
|
* @return {boolean}
|
*/
|
proto.tensorflow.MetaGraphDef.prototype.hasGraphDef = function() {
|
return jspb.Message.getField(this, 2) != null;
|
};
|
|
|
/**
|
* optional SaverDef saver_def = 3;
|
* @return {?proto.tensorflow.SaverDef}
|
*/
|
proto.tensorflow.MetaGraphDef.prototype.getSaverDef = function() {
|
return /** @type{?proto.tensorflow.SaverDef} */ (
|
jspb.Message.getWrapperField(this, proto.tensorflow.SaverDef, 3));
|
};
|
|
|
/**
|
* @param {?proto.tensorflow.SaverDef|undefined} value
|
* @return {!proto.tensorflow.MetaGraphDef} returns this
|
*/
|
proto.tensorflow.MetaGraphDef.prototype.setSaverDef = function(value) {
|
return jspb.Message.setWrapperField(this, 3, value);
|
};
|
|
|
/**
|
* Clears the message field making it undefined.
|
* @return {!proto.tensorflow.MetaGraphDef} returns this
|
*/
|
proto.tensorflow.MetaGraphDef.prototype.clearSaverDef = function() {
|
return this.setSaverDef(undefined);
|
};
|
|
|
/**
|
* Returns whether this field is set.
|
* @return {boolean}
|
*/
|
proto.tensorflow.MetaGraphDef.prototype.hasSaverDef = function() {
|
return jspb.Message.getField(this, 3) != null;
|
};
|
|
|
/**
|
* map<string, CollectionDef> collection_def = 4;
|
* @param {boolean=} opt_noLazyCreate Do not create the map if
|
* empty, instead returning `undefined`
|
* @return {!jspb.Map<string,!proto.tensorflow.CollectionDef>}
|
*/
|
proto.tensorflow.MetaGraphDef.prototype.getCollectionDefMap = function(opt_noLazyCreate) {
|
return /** @type {!jspb.Map<string,!proto.tensorflow.CollectionDef>} */ (
|
jspb.Message.getMapField(this, 4, opt_noLazyCreate,
|
proto.tensorflow.CollectionDef));
|
};
|
|
|
/**
|
* Clears values from the map. The map will be non-null.
|
* @return {!proto.tensorflow.MetaGraphDef} returns this
|
*/
|
proto.tensorflow.MetaGraphDef.prototype.clearCollectionDefMap = function() {
|
this.getCollectionDefMap().clear();
|
return this;};
|
|
|
/**
|
* map<string, SignatureDef> signature_def = 5;
|
* @param {boolean=} opt_noLazyCreate Do not create the map if
|
* empty, instead returning `undefined`
|
* @return {!jspb.Map<string,!proto.tensorflow.SignatureDef>}
|
*/
|
proto.tensorflow.MetaGraphDef.prototype.getSignatureDefMap = function(opt_noLazyCreate) {
|
return /** @type {!jspb.Map<string,!proto.tensorflow.SignatureDef>} */ (
|
jspb.Message.getMapField(this, 5, opt_noLazyCreate,
|
proto.tensorflow.SignatureDef));
|
};
|
|
|
/**
|
* Clears values from the map. The map will be non-null.
|
* @return {!proto.tensorflow.MetaGraphDef} returns this
|
*/
|
proto.tensorflow.MetaGraphDef.prototype.clearSignatureDefMap = function() {
|
this.getSignatureDefMap().clear();
|
return this;};
|
|
|
/**
|
* repeated AssetFileDef asset_file_def = 6;
|
* @return {!Array<!proto.tensorflow.AssetFileDef>}
|
*/
|
proto.tensorflow.MetaGraphDef.prototype.getAssetFileDefList = function() {
|
return /** @type{!Array<!proto.tensorflow.AssetFileDef>} */ (
|
jspb.Message.getRepeatedWrapperField(this, proto.tensorflow.AssetFileDef, 6));
|
};
|
|
|
/**
|
* @param {!Array<!proto.tensorflow.AssetFileDef>} value
|
* @return {!proto.tensorflow.MetaGraphDef} returns this
|
*/
|
proto.tensorflow.MetaGraphDef.prototype.setAssetFileDefList = function(value) {
|
return jspb.Message.setRepeatedWrapperField(this, 6, value);
|
};
|
|
|
/**
|
* @param {!proto.tensorflow.AssetFileDef=} opt_value
|
* @param {number=} opt_index
|
* @return {!proto.tensorflow.AssetFileDef}
|
*/
|
proto.tensorflow.MetaGraphDef.prototype.addAssetFileDef = function(opt_value, opt_index) {
|
return jspb.Message.addToRepeatedWrapperField(this, 6, opt_value, proto.tensorflow.AssetFileDef, opt_index);
|
};
|
|
|
/**
|
* Clears the list making it empty but non-null.
|
* @return {!proto.tensorflow.MetaGraphDef} returns this
|
*/
|
proto.tensorflow.MetaGraphDef.prototype.clearAssetFileDefList = function() {
|
return this.setAssetFileDefList([]);
|
};
|
|
|
|
/**
|
* List of repeated fields within this message type.
|
* @private {!Array<number>}
|
* @const
|
*/
|
proto.tensorflow.SavedModel.repeatedFields_ = [2];
|
|
|
|
if (jspb.Message.GENERATE_TO_OBJECT) {
|
/**
|
* Creates an object representation of this proto.
|
* Field names that are reserved in JavaScript and will be renamed to pb_name.
|
* Optional fields that are not set will be set to undefined.
|
* To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
|
* For the list of reserved names please see:
|
* net/proto2/compiler/js/internal/generator.cc#kKeyword.
|
* @param {boolean=} opt_includeInstance Deprecated. whether to include the
|
* JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @return {!Object}
|
*/
|
proto.tensorflow.SavedModel.prototype.toObject = function(opt_includeInstance) {
|
return proto.tensorflow.SavedModel.toObject(opt_includeInstance, this);
|
};
|
|
|
/**
|
* Static version of the {@see toObject} method.
|
* @param {boolean|undefined} includeInstance Deprecated. Whether to include
|
* the JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @param {!proto.tensorflow.SavedModel} msg The msg instance to transform.
|
* @return {!Object}
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.SavedModel.toObject = function(includeInstance, msg) {
|
var f, obj = {
|
savedModelSchemaVersion: jspb.Message.getFieldWithDefault(msg, 1, 0),
|
metaGraphsList: jspb.Message.toObjectList(msg.getMetaGraphsList(),
|
proto.tensorflow.MetaGraphDef.toObject, includeInstance)
|
};
|
|
if (includeInstance) {
|
obj.$jspbMessageInstance = msg;
|
}
|
return obj;
|
};
|
}
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format).
|
* @param {jspb.ByteSource} bytes The bytes to deserialize.
|
* @return {!proto.tensorflow.SavedModel}
|
*/
|
proto.tensorflow.SavedModel.deserializeBinary = function(bytes) {
|
var reader = new jspb.BinaryReader(bytes);
|
var msg = new proto.tensorflow.SavedModel;
|
return proto.tensorflow.SavedModel.deserializeBinaryFromReader(msg, reader);
|
};
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format) from the
|
* given reader into the given message object.
|
* @param {!proto.tensorflow.SavedModel} msg The message object to deserialize into.
|
* @param {!jspb.BinaryReader} reader The BinaryReader to use.
|
* @return {!proto.tensorflow.SavedModel}
|
*/
|
proto.tensorflow.SavedModel.deserializeBinaryFromReader = function(msg, reader) {
|
while (reader.nextField()) {
|
if (reader.isEndGroup()) {
|
break;
|
}
|
var field = reader.getFieldNumber();
|
switch (field) {
|
case 1:
|
var value = /** @type {number} */ (reader.readInt64());
|
msg.setSavedModelSchemaVersion(value);
|
break;
|
case 2:
|
var value = new proto.tensorflow.MetaGraphDef;
|
reader.readMessage(value,proto.tensorflow.MetaGraphDef.deserializeBinaryFromReader);
|
msg.addMetaGraphs(value);
|
break;
|
default:
|
reader.skipField();
|
break;
|
}
|
}
|
return msg;
|
};
|
|
|
/**
|
* Serializes the message to binary data (in protobuf wire format).
|
* @return {!Uint8Array}
|
*/
|
proto.tensorflow.SavedModel.prototype.serializeBinary = function() {
|
var writer = new jspb.BinaryWriter();
|
proto.tensorflow.SavedModel.serializeBinaryToWriter(this, writer);
|
return writer.getResultBuffer();
|
};
|
|
|
/**
|
* Serializes the given message to binary data (in protobuf wire
|
* format), writing to the given BinaryWriter.
|
* @param {!proto.tensorflow.SavedModel} message
|
* @param {!jspb.BinaryWriter} writer
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.SavedModel.serializeBinaryToWriter = function(message, writer) {
|
var f = undefined;
|
f = message.getSavedModelSchemaVersion();
|
if (f !== 0) {
|
writer.writeInt64(
|
1,
|
f
|
);
|
}
|
f = message.getMetaGraphsList();
|
if (f.length > 0) {
|
writer.writeRepeatedMessage(
|
2,
|
f,
|
proto.tensorflow.MetaGraphDef.serializeBinaryToWriter
|
);
|
}
|
};
|
|
|
/**
|
* optional int64 saved_model_schema_version = 1;
|
* @return {number}
|
*/
|
proto.tensorflow.SavedModel.prototype.getSavedModelSchemaVersion = function() {
|
return /** @type {number} */ (jspb.Message.getFieldWithDefault(this, 1, 0));
|
};
|
|
|
/**
|
* @param {number} value
|
* @return {!proto.tensorflow.SavedModel} returns this
|
*/
|
proto.tensorflow.SavedModel.prototype.setSavedModelSchemaVersion = function(value) {
|
return jspb.Message.setProto3IntField(this, 1, value);
|
};
|
|
|
/**
|
* repeated MetaGraphDef meta_graphs = 2;
|
* @return {!Array<!proto.tensorflow.MetaGraphDef>}
|
*/
|
proto.tensorflow.SavedModel.prototype.getMetaGraphsList = function() {
|
return /** @type{!Array<!proto.tensorflow.MetaGraphDef>} */ (
|
jspb.Message.getRepeatedWrapperField(this, proto.tensorflow.MetaGraphDef, 2));
|
};
|
|
|
/**
|
* @param {!Array<!proto.tensorflow.MetaGraphDef>} value
|
* @return {!proto.tensorflow.SavedModel} returns this
|
*/
|
proto.tensorflow.SavedModel.prototype.setMetaGraphsList = function(value) {
|
return jspb.Message.setRepeatedWrapperField(this, 2, value);
|
};
|
|
|
/**
|
* @param {!proto.tensorflow.MetaGraphDef=} opt_value
|
* @param {number=} opt_index
|
* @return {!proto.tensorflow.MetaGraphDef}
|
*/
|
proto.tensorflow.SavedModel.prototype.addMetaGraphs = function(opt_value, opt_index) {
|
return jspb.Message.addToRepeatedWrapperField(this, 2, opt_value, proto.tensorflow.MetaGraphDef, opt_index);
|
};
|
|
|
/**
|
* Clears the list making it empty but non-null.
|
* @return {!proto.tensorflow.SavedModel} returns this
|
*/
|
proto.tensorflow.SavedModel.prototype.clearMetaGraphsList = function() {
|
return this.setMetaGraphsList([]);
|
};
|
|
|
|
/**
|
* List of repeated fields within this message type.
|
* @private {!Array<number>}
|
* @const
|
*/
|
proto.tensorflow.FunctionDefLibrary.repeatedFields_ = [1,2];
|
|
|
|
if (jspb.Message.GENERATE_TO_OBJECT) {
|
/**
|
* Creates an object representation of this proto.
|
* Field names that are reserved in JavaScript and will be renamed to pb_name.
|
* Optional fields that are not set will be set to undefined.
|
* To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
|
* For the list of reserved names please see:
|
* net/proto2/compiler/js/internal/generator.cc#kKeyword.
|
* @param {boolean=} opt_includeInstance Deprecated. whether to include the
|
* JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @return {!Object}
|
*/
|
proto.tensorflow.FunctionDefLibrary.prototype.toObject = function(opt_includeInstance) {
|
return proto.tensorflow.FunctionDefLibrary.toObject(opt_includeInstance, this);
|
};
|
|
|
/**
|
* Static version of the {@see toObject} method.
|
* @param {boolean|undefined} includeInstance Deprecated. Whether to include
|
* the JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @param {!proto.tensorflow.FunctionDefLibrary} msg The msg instance to transform.
|
* @return {!Object}
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.FunctionDefLibrary.toObject = function(includeInstance, msg) {
|
var f, obj = {
|
functionList: jspb.Message.toObjectList(msg.getFunctionList(),
|
proto.tensorflow.FunctionDef.toObject, includeInstance),
|
gradientList: jspb.Message.toObjectList(msg.getGradientList(),
|
proto.tensorflow.GradientDef.toObject, includeInstance)
|
};
|
|
if (includeInstance) {
|
obj.$jspbMessageInstance = msg;
|
}
|
return obj;
|
};
|
}
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format).
|
* @param {jspb.ByteSource} bytes The bytes to deserialize.
|
* @return {!proto.tensorflow.FunctionDefLibrary}
|
*/
|
proto.tensorflow.FunctionDefLibrary.deserializeBinary = function(bytes) {
|
var reader = new jspb.BinaryReader(bytes);
|
var msg = new proto.tensorflow.FunctionDefLibrary;
|
return proto.tensorflow.FunctionDefLibrary.deserializeBinaryFromReader(msg, reader);
|
};
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format) from the
|
* given reader into the given message object.
|
* @param {!proto.tensorflow.FunctionDefLibrary} msg The message object to deserialize into.
|
* @param {!jspb.BinaryReader} reader The BinaryReader to use.
|
* @return {!proto.tensorflow.FunctionDefLibrary}
|
*/
|
proto.tensorflow.FunctionDefLibrary.deserializeBinaryFromReader = function(msg, reader) {
|
while (reader.nextField()) {
|
if (reader.isEndGroup()) {
|
break;
|
}
|
var field = reader.getFieldNumber();
|
switch (field) {
|
case 1:
|
var value = new proto.tensorflow.FunctionDef;
|
reader.readMessage(value,proto.tensorflow.FunctionDef.deserializeBinaryFromReader);
|
msg.addFunction(value);
|
break;
|
case 2:
|
var value = new proto.tensorflow.GradientDef;
|
reader.readMessage(value,proto.tensorflow.GradientDef.deserializeBinaryFromReader);
|
msg.addGradient(value);
|
break;
|
default:
|
reader.skipField();
|
break;
|
}
|
}
|
return msg;
|
};
|
|
|
/**
|
* Serializes the message to binary data (in protobuf wire format).
|
* @return {!Uint8Array}
|
*/
|
proto.tensorflow.FunctionDefLibrary.prototype.serializeBinary = function() {
|
var writer = new jspb.BinaryWriter();
|
proto.tensorflow.FunctionDefLibrary.serializeBinaryToWriter(this, writer);
|
return writer.getResultBuffer();
|
};
|
|
|
/**
|
* Serializes the given message to binary data (in protobuf wire
|
* format), writing to the given BinaryWriter.
|
* @param {!proto.tensorflow.FunctionDefLibrary} message
|
* @param {!jspb.BinaryWriter} writer
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.FunctionDefLibrary.serializeBinaryToWriter = function(message, writer) {
|
var f = undefined;
|
f = message.getFunctionList();
|
if (f.length > 0) {
|
writer.writeRepeatedMessage(
|
1,
|
f,
|
proto.tensorflow.FunctionDef.serializeBinaryToWriter
|
);
|
}
|
f = message.getGradientList();
|
if (f.length > 0) {
|
writer.writeRepeatedMessage(
|
2,
|
f,
|
proto.tensorflow.GradientDef.serializeBinaryToWriter
|
);
|
}
|
};
|
|
|
/**
|
* repeated FunctionDef function = 1;
|
* @return {!Array<!proto.tensorflow.FunctionDef>}
|
*/
|
proto.tensorflow.FunctionDefLibrary.prototype.getFunctionList = function() {
|
return /** @type{!Array<!proto.tensorflow.FunctionDef>} */ (
|
jspb.Message.getRepeatedWrapperField(this, proto.tensorflow.FunctionDef, 1));
|
};
|
|
|
/**
|
* @param {!Array<!proto.tensorflow.FunctionDef>} value
|
* @return {!proto.tensorflow.FunctionDefLibrary} returns this
|
*/
|
proto.tensorflow.FunctionDefLibrary.prototype.setFunctionList = function(value) {
|
return jspb.Message.setRepeatedWrapperField(this, 1, value);
|
};
|
|
|
/**
|
* @param {!proto.tensorflow.FunctionDef=} opt_value
|
* @param {number=} opt_index
|
* @return {!proto.tensorflow.FunctionDef}
|
*/
|
proto.tensorflow.FunctionDefLibrary.prototype.addFunction = function(opt_value, opt_index) {
|
return jspb.Message.addToRepeatedWrapperField(this, 1, opt_value, proto.tensorflow.FunctionDef, opt_index);
|
};
|
|
|
/**
|
* Clears the list making it empty but non-null.
|
* @return {!proto.tensorflow.FunctionDefLibrary} returns this
|
*/
|
proto.tensorflow.FunctionDefLibrary.prototype.clearFunctionList = function() {
|
return this.setFunctionList([]);
|
};
|
|
|
/**
|
* repeated GradientDef gradient = 2;
|
* @return {!Array<!proto.tensorflow.GradientDef>}
|
*/
|
proto.tensorflow.FunctionDefLibrary.prototype.getGradientList = function() {
|
return /** @type{!Array<!proto.tensorflow.GradientDef>} */ (
|
jspb.Message.getRepeatedWrapperField(this, proto.tensorflow.GradientDef, 2));
|
};
|
|
|
/**
|
* @param {!Array<!proto.tensorflow.GradientDef>} value
|
* @return {!proto.tensorflow.FunctionDefLibrary} returns this
|
*/
|
proto.tensorflow.FunctionDefLibrary.prototype.setGradientList = function(value) {
|
return jspb.Message.setRepeatedWrapperField(this, 2, value);
|
};
|
|
|
/**
|
* @param {!proto.tensorflow.GradientDef=} opt_value
|
* @param {number=} opt_index
|
* @return {!proto.tensorflow.GradientDef}
|
*/
|
proto.tensorflow.FunctionDefLibrary.prototype.addGradient = function(opt_value, opt_index) {
|
return jspb.Message.addToRepeatedWrapperField(this, 2, opt_value, proto.tensorflow.GradientDef, opt_index);
|
};
|
|
|
/**
|
* Clears the list making it empty but non-null.
|
* @return {!proto.tensorflow.FunctionDefLibrary} returns this
|
*/
|
proto.tensorflow.FunctionDefLibrary.prototype.clearGradientList = function() {
|
return this.setGradientList([]);
|
};
|
|
|
|
/**
|
* List of repeated fields within this message type.
|
* @private {!Array<number>}
|
* @const
|
*/
|
proto.tensorflow.FunctionDef.repeatedFields_ = [3];
|
|
|
|
if (jspb.Message.GENERATE_TO_OBJECT) {
|
/**
|
* Creates an object representation of this proto.
|
* Field names that are reserved in JavaScript and will be renamed to pb_name.
|
* Optional fields that are not set will be set to undefined.
|
* To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
|
* For the list of reserved names please see:
|
* net/proto2/compiler/js/internal/generator.cc#kKeyword.
|
* @param {boolean=} opt_includeInstance Deprecated. whether to include the
|
* JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @return {!Object}
|
*/
|
proto.tensorflow.FunctionDef.prototype.toObject = function(opt_includeInstance) {
|
return proto.tensorflow.FunctionDef.toObject(opt_includeInstance, this);
|
};
|
|
|
/**
|
* Static version of the {@see toObject} method.
|
* @param {boolean|undefined} includeInstance Deprecated. Whether to include
|
* the JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @param {!proto.tensorflow.FunctionDef} msg The msg instance to transform.
|
* @return {!Object}
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.FunctionDef.toObject = function(includeInstance, msg) {
|
var f, obj = {
|
signature: (f = msg.getSignature()) && proto.tensorflow.OpDef.toObject(includeInstance, f),
|
attrMap: (f = msg.getAttrMap()) ? f.toObject(includeInstance, proto.tensorflow.AttrValue.toObject) : [],
|
nodeDefList: jspb.Message.toObjectList(msg.getNodeDefList(),
|
proto.tensorflow.NodeDef.toObject, includeInstance),
|
retMap: (f = msg.getRetMap()) ? f.toObject(includeInstance, undefined) : []
|
};
|
|
if (includeInstance) {
|
obj.$jspbMessageInstance = msg;
|
}
|
return obj;
|
};
|
}
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format).
|
* @param {jspb.ByteSource} bytes The bytes to deserialize.
|
* @return {!proto.tensorflow.FunctionDef}
|
*/
|
proto.tensorflow.FunctionDef.deserializeBinary = function(bytes) {
|
var reader = new jspb.BinaryReader(bytes);
|
var msg = new proto.tensorflow.FunctionDef;
|
return proto.tensorflow.FunctionDef.deserializeBinaryFromReader(msg, reader);
|
};
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format) from the
|
* given reader into the given message object.
|
* @param {!proto.tensorflow.FunctionDef} msg The message object to deserialize into.
|
* @param {!jspb.BinaryReader} reader The BinaryReader to use.
|
* @return {!proto.tensorflow.FunctionDef}
|
*/
|
proto.tensorflow.FunctionDef.deserializeBinaryFromReader = function(msg, reader) {
|
while (reader.nextField()) {
|
if (reader.isEndGroup()) {
|
break;
|
}
|
var field = reader.getFieldNumber();
|
switch (field) {
|
case 1:
|
var value = new proto.tensorflow.OpDef;
|
reader.readMessage(value,proto.tensorflow.OpDef.deserializeBinaryFromReader);
|
msg.setSignature(value);
|
break;
|
case 5:
|
var value = msg.getAttrMap();
|
reader.readMessage(value, function(message, reader) {
|
jspb.Map.deserializeBinary(message, reader, jspb.BinaryReader.prototype.readString, jspb.BinaryReader.prototype.readMessage, proto.tensorflow.AttrValue.deserializeBinaryFromReader, "", new proto.tensorflow.AttrValue());
|
});
|
break;
|
case 3:
|
var value = new proto.tensorflow.NodeDef;
|
reader.readMessage(value,proto.tensorflow.NodeDef.deserializeBinaryFromReader);
|
msg.addNodeDef(value);
|
break;
|
case 4:
|
var value = msg.getRetMap();
|
reader.readMessage(value, function(message, reader) {
|
jspb.Map.deserializeBinary(message, reader, jspb.BinaryReader.prototype.readString, jspb.BinaryReader.prototype.readString, null, "", "");
|
});
|
break;
|
default:
|
reader.skipField();
|
break;
|
}
|
}
|
return msg;
|
};
|
|
|
/**
|
* Serializes the message to binary data (in protobuf wire format).
|
* @return {!Uint8Array}
|
*/
|
proto.tensorflow.FunctionDef.prototype.serializeBinary = function() {
|
var writer = new jspb.BinaryWriter();
|
proto.tensorflow.FunctionDef.serializeBinaryToWriter(this, writer);
|
return writer.getResultBuffer();
|
};
|
|
|
/**
|
* Serializes the given message to binary data (in protobuf wire
|
* format), writing to the given BinaryWriter.
|
* @param {!proto.tensorflow.FunctionDef} message
|
* @param {!jspb.BinaryWriter} writer
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.FunctionDef.serializeBinaryToWriter = function(message, writer) {
|
var f = undefined;
|
f = message.getSignature();
|
if (f != null) {
|
writer.writeMessage(
|
1,
|
f,
|
proto.tensorflow.OpDef.serializeBinaryToWriter
|
);
|
}
|
f = message.getAttrMap(true);
|
if (f && f.getLength() > 0) {
|
f.serializeBinary(5, writer, jspb.BinaryWriter.prototype.writeString, jspb.BinaryWriter.prototype.writeMessage, proto.tensorflow.AttrValue.serializeBinaryToWriter);
|
}
|
f = message.getNodeDefList();
|
if (f.length > 0) {
|
writer.writeRepeatedMessage(
|
3,
|
f,
|
proto.tensorflow.NodeDef.serializeBinaryToWriter
|
);
|
}
|
f = message.getRetMap(true);
|
if (f && f.getLength() > 0) {
|
f.serializeBinary(4, writer, jspb.BinaryWriter.prototype.writeString, jspb.BinaryWriter.prototype.writeString);
|
}
|
};
|
|
|
/**
|
* optional OpDef signature = 1;
|
* @return {?proto.tensorflow.OpDef}
|
*/
|
proto.tensorflow.FunctionDef.prototype.getSignature = function() {
|
return /** @type{?proto.tensorflow.OpDef} */ (
|
jspb.Message.getWrapperField(this, proto.tensorflow.OpDef, 1));
|
};
|
|
|
/**
|
* @param {?proto.tensorflow.OpDef|undefined} value
|
* @return {!proto.tensorflow.FunctionDef} returns this
|
*/
|
proto.tensorflow.FunctionDef.prototype.setSignature = function(value) {
|
return jspb.Message.setWrapperField(this, 1, value);
|
};
|
|
|
/**
|
* Clears the message field making it undefined.
|
* @return {!proto.tensorflow.FunctionDef} returns this
|
*/
|
proto.tensorflow.FunctionDef.prototype.clearSignature = function() {
|
return this.setSignature(undefined);
|
};
|
|
|
/**
|
* Returns whether this field is set.
|
* @return {boolean}
|
*/
|
proto.tensorflow.FunctionDef.prototype.hasSignature = function() {
|
return jspb.Message.getField(this, 1) != null;
|
};
|
|
|
/**
|
* map<string, AttrValue> attr = 5;
|
* @param {boolean=} opt_noLazyCreate Do not create the map if
|
* empty, instead returning `undefined`
|
* @return {!jspb.Map<string,!proto.tensorflow.AttrValue>}
|
*/
|
proto.tensorflow.FunctionDef.prototype.getAttrMap = function(opt_noLazyCreate) {
|
return /** @type {!jspb.Map<string,!proto.tensorflow.AttrValue>} */ (
|
jspb.Message.getMapField(this, 5, opt_noLazyCreate,
|
proto.tensorflow.AttrValue));
|
};
|
|
|
/**
|
* Clears values from the map. The map will be non-null.
|
* @return {!proto.tensorflow.FunctionDef} returns this
|
*/
|
proto.tensorflow.FunctionDef.prototype.clearAttrMap = function() {
|
this.getAttrMap().clear();
|
return this;};
|
|
|
/**
|
* repeated NodeDef node_def = 3;
|
* @return {!Array<!proto.tensorflow.NodeDef>}
|
*/
|
proto.tensorflow.FunctionDef.prototype.getNodeDefList = function() {
|
return /** @type{!Array<!proto.tensorflow.NodeDef>} */ (
|
jspb.Message.getRepeatedWrapperField(this, proto.tensorflow.NodeDef, 3));
|
};
|
|
|
/**
|
* @param {!Array<!proto.tensorflow.NodeDef>} value
|
* @return {!proto.tensorflow.FunctionDef} returns this
|
*/
|
proto.tensorflow.FunctionDef.prototype.setNodeDefList = function(value) {
|
return jspb.Message.setRepeatedWrapperField(this, 3, value);
|
};
|
|
|
/**
|
* @param {!proto.tensorflow.NodeDef=} opt_value
|
* @param {number=} opt_index
|
* @return {!proto.tensorflow.NodeDef}
|
*/
|
proto.tensorflow.FunctionDef.prototype.addNodeDef = function(opt_value, opt_index) {
|
return jspb.Message.addToRepeatedWrapperField(this, 3, opt_value, proto.tensorflow.NodeDef, opt_index);
|
};
|
|
|
/**
|
* Clears the list making it empty but non-null.
|
* @return {!proto.tensorflow.FunctionDef} returns this
|
*/
|
proto.tensorflow.FunctionDef.prototype.clearNodeDefList = function() {
|
return this.setNodeDefList([]);
|
};
|
|
|
/**
|
* map<string, string> ret = 4;
|
* @param {boolean=} opt_noLazyCreate Do not create the map if
|
* empty, instead returning `undefined`
|
* @return {!jspb.Map<string,string>}
|
*/
|
proto.tensorflow.FunctionDef.prototype.getRetMap = function(opt_noLazyCreate) {
|
return /** @type {!jspb.Map<string,string>} */ (
|
jspb.Message.getMapField(this, 4, opt_noLazyCreate,
|
null));
|
};
|
|
|
/**
|
* Clears values from the map. The map will be non-null.
|
* @return {!proto.tensorflow.FunctionDef} returns this
|
*/
|
proto.tensorflow.FunctionDef.prototype.clearRetMap = function() {
|
this.getRetMap().clear();
|
return this;};
|
|
|
|
|
|
if (jspb.Message.GENERATE_TO_OBJECT) {
|
/**
|
* Creates an object representation of this proto.
|
* Field names that are reserved in JavaScript and will be renamed to pb_name.
|
* Optional fields that are not set will be set to undefined.
|
* To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
|
* For the list of reserved names please see:
|
* net/proto2/compiler/js/internal/generator.cc#kKeyword.
|
* @param {boolean=} opt_includeInstance Deprecated. whether to include the
|
* JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @return {!Object}
|
*/
|
proto.tensorflow.GradientDef.prototype.toObject = function(opt_includeInstance) {
|
return proto.tensorflow.GradientDef.toObject(opt_includeInstance, this);
|
};
|
|
|
/**
|
* Static version of the {@see toObject} method.
|
* @param {boolean|undefined} includeInstance Deprecated. Whether to include
|
* the JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @param {!proto.tensorflow.GradientDef} msg The msg instance to transform.
|
* @return {!Object}
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.GradientDef.toObject = function(includeInstance, msg) {
|
var f, obj = {
|
functionName: jspb.Message.getFieldWithDefault(msg, 1, ""),
|
gradientFunc: jspb.Message.getFieldWithDefault(msg, 2, "")
|
};
|
|
if (includeInstance) {
|
obj.$jspbMessageInstance = msg;
|
}
|
return obj;
|
};
|
}
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format).
|
* @param {jspb.ByteSource} bytes The bytes to deserialize.
|
* @return {!proto.tensorflow.GradientDef}
|
*/
|
proto.tensorflow.GradientDef.deserializeBinary = function(bytes) {
|
var reader = new jspb.BinaryReader(bytes);
|
var msg = new proto.tensorflow.GradientDef;
|
return proto.tensorflow.GradientDef.deserializeBinaryFromReader(msg, reader);
|
};
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format) from the
|
* given reader into the given message object.
|
* @param {!proto.tensorflow.GradientDef} msg The message object to deserialize into.
|
* @param {!jspb.BinaryReader} reader The BinaryReader to use.
|
* @return {!proto.tensorflow.GradientDef}
|
*/
|
proto.tensorflow.GradientDef.deserializeBinaryFromReader = function(msg, reader) {
|
while (reader.nextField()) {
|
if (reader.isEndGroup()) {
|
break;
|
}
|
var field = reader.getFieldNumber();
|
switch (field) {
|
case 1:
|
var value = /** @type {string} */ (reader.readString());
|
msg.setFunctionName(value);
|
break;
|
case 2:
|
var value = /** @type {string} */ (reader.readString());
|
msg.setGradientFunc(value);
|
break;
|
default:
|
reader.skipField();
|
break;
|
}
|
}
|
return msg;
|
};
|
|
|
/**
|
* Serializes the message to binary data (in protobuf wire format).
|
* @return {!Uint8Array}
|
*/
|
proto.tensorflow.GradientDef.prototype.serializeBinary = function() {
|
var writer = new jspb.BinaryWriter();
|
proto.tensorflow.GradientDef.serializeBinaryToWriter(this, writer);
|
return writer.getResultBuffer();
|
};
|
|
|
/**
|
* Serializes the given message to binary data (in protobuf wire
|
* format), writing to the given BinaryWriter.
|
* @param {!proto.tensorflow.GradientDef} message
|
* @param {!jspb.BinaryWriter} writer
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.GradientDef.serializeBinaryToWriter = function(message, writer) {
|
var f = undefined;
|
f = message.getFunctionName();
|
if (f.length > 0) {
|
writer.writeString(
|
1,
|
f
|
);
|
}
|
f = message.getGradientFunc();
|
if (f.length > 0) {
|
writer.writeString(
|
2,
|
f
|
);
|
}
|
};
|
|
|
/**
|
* optional string function_name = 1;
|
* @return {string}
|
*/
|
proto.tensorflow.GradientDef.prototype.getFunctionName = function() {
|
return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 1, ""));
|
};
|
|
|
/**
|
* @param {string} value
|
* @return {!proto.tensorflow.GradientDef} returns this
|
*/
|
proto.tensorflow.GradientDef.prototype.setFunctionName = function(value) {
|
return jspb.Message.setProto3StringField(this, 1, value);
|
};
|
|
|
/**
|
* optional string gradient_func = 2;
|
* @return {string}
|
*/
|
proto.tensorflow.GradientDef.prototype.getGradientFunc = function() {
|
return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 2, ""));
|
};
|
|
|
/**
|
* @param {string} value
|
* @return {!proto.tensorflow.GradientDef} returns this
|
*/
|
proto.tensorflow.GradientDef.prototype.setGradientFunc = function(value) {
|
return jspb.Message.setProto3StringField(this, 2, value);
|
};
|
|
|
|
|
|
if (jspb.Message.GENERATE_TO_OBJECT) {
|
/**
|
* Creates an object representation of this proto.
|
* Field names that are reserved in JavaScript and will be renamed to pb_name.
|
* Optional fields that are not set will be set to undefined.
|
* To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
|
* For the list of reserved names please see:
|
* net/proto2/compiler/js/internal/generator.cc#kKeyword.
|
* @param {boolean=} opt_includeInstance Deprecated. whether to include the
|
* JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @return {!Object}
|
*/
|
proto.tensorflow.SummaryDescription.prototype.toObject = function(opt_includeInstance) {
|
return proto.tensorflow.SummaryDescription.toObject(opt_includeInstance, this);
|
};
|
|
|
/**
|
* Static version of the {@see toObject} method.
|
* @param {boolean|undefined} includeInstance Deprecated. Whether to include
|
* the JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @param {!proto.tensorflow.SummaryDescription} msg The msg instance to transform.
|
* @return {!Object}
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.SummaryDescription.toObject = function(includeInstance, msg) {
|
var f, obj = {
|
typeHint: jspb.Message.getFieldWithDefault(msg, 1, "")
|
};
|
|
if (includeInstance) {
|
obj.$jspbMessageInstance = msg;
|
}
|
return obj;
|
};
|
}
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format).
|
* @param {jspb.ByteSource} bytes The bytes to deserialize.
|
* @return {!proto.tensorflow.SummaryDescription}
|
*/
|
proto.tensorflow.SummaryDescription.deserializeBinary = function(bytes) {
|
var reader = new jspb.BinaryReader(bytes);
|
var msg = new proto.tensorflow.SummaryDescription;
|
return proto.tensorflow.SummaryDescription.deserializeBinaryFromReader(msg, reader);
|
};
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format) from the
|
* given reader into the given message object.
|
* @param {!proto.tensorflow.SummaryDescription} msg The message object to deserialize into.
|
* @param {!jspb.BinaryReader} reader The BinaryReader to use.
|
* @return {!proto.tensorflow.SummaryDescription}
|
*/
|
proto.tensorflow.SummaryDescription.deserializeBinaryFromReader = function(msg, reader) {
|
while (reader.nextField()) {
|
if (reader.isEndGroup()) {
|
break;
|
}
|
var field = reader.getFieldNumber();
|
switch (field) {
|
case 1:
|
var value = /** @type {string} */ (reader.readString());
|
msg.setTypeHint(value);
|
break;
|
default:
|
reader.skipField();
|
break;
|
}
|
}
|
return msg;
|
};
|
|
|
/**
|
* Serializes the message to binary data (in protobuf wire format).
|
* @return {!Uint8Array}
|
*/
|
proto.tensorflow.SummaryDescription.prototype.serializeBinary = function() {
|
var writer = new jspb.BinaryWriter();
|
proto.tensorflow.SummaryDescription.serializeBinaryToWriter(this, writer);
|
return writer.getResultBuffer();
|
};
|
|
|
/**
|
* Serializes the given message to binary data (in protobuf wire
|
* format), writing to the given BinaryWriter.
|
* @param {!proto.tensorflow.SummaryDescription} message
|
* @param {!jspb.BinaryWriter} writer
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.SummaryDescription.serializeBinaryToWriter = function(message, writer) {
|
var f = undefined;
|
f = message.getTypeHint();
|
if (f.length > 0) {
|
writer.writeString(
|
1,
|
f
|
);
|
}
|
};
|
|
|
/**
|
* optional string type_hint = 1;
|
* @return {string}
|
*/
|
proto.tensorflow.SummaryDescription.prototype.getTypeHint = function() {
|
return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 1, ""));
|
};
|
|
|
/**
|
* @param {string} value
|
* @return {!proto.tensorflow.SummaryDescription} returns this
|
*/
|
proto.tensorflow.SummaryDescription.prototype.setTypeHint = function(value) {
|
return jspb.Message.setProto3StringField(this, 1, value);
|
};
|
|
|
|
/**
|
* List of repeated fields within this message type.
|
* @private {!Array<number>}
|
* @const
|
*/
|
proto.tensorflow.HistogramProto.repeatedFields_ = [6,7];
|
|
|
|
if (jspb.Message.GENERATE_TO_OBJECT) {
|
/**
|
* Creates an object representation of this proto.
|
* Field names that are reserved in JavaScript and will be renamed to pb_name.
|
* Optional fields that are not set will be set to undefined.
|
* To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
|
* For the list of reserved names please see:
|
* net/proto2/compiler/js/internal/generator.cc#kKeyword.
|
* @param {boolean=} opt_includeInstance Deprecated. whether to include the
|
* JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @return {!Object}
|
*/
|
proto.tensorflow.HistogramProto.prototype.toObject = function(opt_includeInstance) {
|
return proto.tensorflow.HistogramProto.toObject(opt_includeInstance, this);
|
};
|
|
|
/**
|
* Static version of the {@see toObject} method.
|
* @param {boolean|undefined} includeInstance Deprecated. Whether to include
|
* the JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @param {!proto.tensorflow.HistogramProto} msg The msg instance to transform.
|
* @return {!Object}
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.HistogramProto.toObject = function(includeInstance, msg) {
|
var f, obj = {
|
min: jspb.Message.getFloatingPointFieldWithDefault(msg, 1, 0.0),
|
max: jspb.Message.getFloatingPointFieldWithDefault(msg, 2, 0.0),
|
num: jspb.Message.getFloatingPointFieldWithDefault(msg, 3, 0.0),
|
sum: jspb.Message.getFloatingPointFieldWithDefault(msg, 4, 0.0),
|
sumSquares: jspb.Message.getFloatingPointFieldWithDefault(msg, 5, 0.0),
|
bucketLimitList: (f = jspb.Message.getRepeatedFloatingPointField(msg, 6)) == null ? undefined : f,
|
bucketList: (f = jspb.Message.getRepeatedFloatingPointField(msg, 7)) == null ? undefined : f
|
};
|
|
if (includeInstance) {
|
obj.$jspbMessageInstance = msg;
|
}
|
return obj;
|
};
|
}
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format).
|
* @param {jspb.ByteSource} bytes The bytes to deserialize.
|
* @return {!proto.tensorflow.HistogramProto}
|
*/
|
proto.tensorflow.HistogramProto.deserializeBinary = function(bytes) {
|
var reader = new jspb.BinaryReader(bytes);
|
var msg = new proto.tensorflow.HistogramProto;
|
return proto.tensorflow.HistogramProto.deserializeBinaryFromReader(msg, reader);
|
};
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format) from the
|
* given reader into the given message object.
|
* @param {!proto.tensorflow.HistogramProto} msg The message object to deserialize into.
|
* @param {!jspb.BinaryReader} reader The BinaryReader to use.
|
* @return {!proto.tensorflow.HistogramProto}
|
*/
|
proto.tensorflow.HistogramProto.deserializeBinaryFromReader = function(msg, reader) {
|
while (reader.nextField()) {
|
if (reader.isEndGroup()) {
|
break;
|
}
|
var field = reader.getFieldNumber();
|
switch (field) {
|
case 1:
|
var value = /** @type {number} */ (reader.readDouble());
|
msg.setMin(value);
|
break;
|
case 2:
|
var value = /** @type {number} */ (reader.readDouble());
|
msg.setMax(value);
|
break;
|
case 3:
|
var value = /** @type {number} */ (reader.readDouble());
|
msg.setNum(value);
|
break;
|
case 4:
|
var value = /** @type {number} */ (reader.readDouble());
|
msg.setSum(value);
|
break;
|
case 5:
|
var value = /** @type {number} */ (reader.readDouble());
|
msg.setSumSquares(value);
|
break;
|
case 6:
|
var values = /** @type {!Array<number>} */ (reader.isDelimited() ? reader.readPackedDouble() : [reader.readDouble()]);
|
for (var i = 0; i < values.length; i++) {
|
msg.addBucketLimit(values[i]);
|
}
|
break;
|
case 7:
|
var values = /** @type {!Array<number>} */ (reader.isDelimited() ? reader.readPackedDouble() : [reader.readDouble()]);
|
for (var i = 0; i < values.length; i++) {
|
msg.addBucket(values[i]);
|
}
|
break;
|
default:
|
reader.skipField();
|
break;
|
}
|
}
|
return msg;
|
};
|
|
|
/**
|
* Serializes the message to binary data (in protobuf wire format).
|
* @return {!Uint8Array}
|
*/
|
proto.tensorflow.HistogramProto.prototype.serializeBinary = function() {
|
var writer = new jspb.BinaryWriter();
|
proto.tensorflow.HistogramProto.serializeBinaryToWriter(this, writer);
|
return writer.getResultBuffer();
|
};
|
|
|
/**
|
* Serializes the given message to binary data (in protobuf wire
|
* format), writing to the given BinaryWriter.
|
* @param {!proto.tensorflow.HistogramProto} message
|
* @param {!jspb.BinaryWriter} writer
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.HistogramProto.serializeBinaryToWriter = function(message, writer) {
|
var f = undefined;
|
f = message.getMin();
|
if (f !== 0.0) {
|
writer.writeDouble(
|
1,
|
f
|
);
|
}
|
f = message.getMax();
|
if (f !== 0.0) {
|
writer.writeDouble(
|
2,
|
f
|
);
|
}
|
f = message.getNum();
|
if (f !== 0.0) {
|
writer.writeDouble(
|
3,
|
f
|
);
|
}
|
f = message.getSum();
|
if (f !== 0.0) {
|
writer.writeDouble(
|
4,
|
f
|
);
|
}
|
f = message.getSumSquares();
|
if (f !== 0.0) {
|
writer.writeDouble(
|
5,
|
f
|
);
|
}
|
f = message.getBucketLimitList();
|
if (f.length > 0) {
|
writer.writePackedDouble(
|
6,
|
f
|
);
|
}
|
f = message.getBucketList();
|
if (f.length > 0) {
|
writer.writePackedDouble(
|
7,
|
f
|
);
|
}
|
};
|
|
|
/**
|
* optional double min = 1;
|
* @return {number}
|
*/
|
proto.tensorflow.HistogramProto.prototype.getMin = function() {
|
return /** @type {number} */ (jspb.Message.getFloatingPointFieldWithDefault(this, 1, 0.0));
|
};
|
|
|
/**
|
* @param {number} value
|
* @return {!proto.tensorflow.HistogramProto} returns this
|
*/
|
proto.tensorflow.HistogramProto.prototype.setMin = function(value) {
|
return jspb.Message.setProto3FloatField(this, 1, value);
|
};
|
|
|
/**
|
* optional double max = 2;
|
* @return {number}
|
*/
|
proto.tensorflow.HistogramProto.prototype.getMax = function() {
|
return /** @type {number} */ (jspb.Message.getFloatingPointFieldWithDefault(this, 2, 0.0));
|
};
|
|
|
/**
|
* @param {number} value
|
* @return {!proto.tensorflow.HistogramProto} returns this
|
*/
|
proto.tensorflow.HistogramProto.prototype.setMax = function(value) {
|
return jspb.Message.setProto3FloatField(this, 2, value);
|
};
|
|
|
/**
|
* optional double num = 3;
|
* @return {number}
|
*/
|
proto.tensorflow.HistogramProto.prototype.getNum = function() {
|
return /** @type {number} */ (jspb.Message.getFloatingPointFieldWithDefault(this, 3, 0.0));
|
};
|
|
|
/**
|
* @param {number} value
|
* @return {!proto.tensorflow.HistogramProto} returns this
|
*/
|
proto.tensorflow.HistogramProto.prototype.setNum = function(value) {
|
return jspb.Message.setProto3FloatField(this, 3, value);
|
};
|
|
|
/**
|
* optional double sum = 4;
|
* @return {number}
|
*/
|
proto.tensorflow.HistogramProto.prototype.getSum = function() {
|
return /** @type {number} */ (jspb.Message.getFloatingPointFieldWithDefault(this, 4, 0.0));
|
};
|
|
|
/**
|
* @param {number} value
|
* @return {!proto.tensorflow.HistogramProto} returns this
|
*/
|
proto.tensorflow.HistogramProto.prototype.setSum = function(value) {
|
return jspb.Message.setProto3FloatField(this, 4, value);
|
};
|
|
|
/**
|
* optional double sum_squares = 5;
|
* @return {number}
|
*/
|
proto.tensorflow.HistogramProto.prototype.getSumSquares = function() {
|
return /** @type {number} */ (jspb.Message.getFloatingPointFieldWithDefault(this, 5, 0.0));
|
};
|
|
|
/**
|
* @param {number} value
|
* @return {!proto.tensorflow.HistogramProto} returns this
|
*/
|
proto.tensorflow.HistogramProto.prototype.setSumSquares = function(value) {
|
return jspb.Message.setProto3FloatField(this, 5, value);
|
};
|
|
|
/**
|
* repeated double bucket_limit = 6;
|
* @return {!Array<number>}
|
*/
|
proto.tensorflow.HistogramProto.prototype.getBucketLimitList = function() {
|
return /** @type {!Array<number>} */ (jspb.Message.getRepeatedFloatingPointField(this, 6));
|
};
|
|
|
/**
|
* @param {!Array<number>} value
|
* @return {!proto.tensorflow.HistogramProto} returns this
|
*/
|
proto.tensorflow.HistogramProto.prototype.setBucketLimitList = function(value) {
|
return jspb.Message.setField(this, 6, value || []);
|
};
|
|
|
/**
|
* @param {number} value
|
* @param {number=} opt_index
|
* @return {!proto.tensorflow.HistogramProto} returns this
|
*/
|
proto.tensorflow.HistogramProto.prototype.addBucketLimit = function(value, opt_index) {
|
return jspb.Message.addToRepeatedField(this, 6, value, opt_index);
|
};
|
|
|
/**
|
* Clears the list making it empty but non-null.
|
* @return {!proto.tensorflow.HistogramProto} returns this
|
*/
|
proto.tensorflow.HistogramProto.prototype.clearBucketLimitList = function() {
|
return this.setBucketLimitList([]);
|
};
|
|
|
/**
|
* repeated double bucket = 7;
|
* @return {!Array<number>}
|
*/
|
proto.tensorflow.HistogramProto.prototype.getBucketList = function() {
|
return /** @type {!Array<number>} */ (jspb.Message.getRepeatedFloatingPointField(this, 7));
|
};
|
|
|
/**
|
* @param {!Array<number>} value
|
* @return {!proto.tensorflow.HistogramProto} returns this
|
*/
|
proto.tensorflow.HistogramProto.prototype.setBucketList = function(value) {
|
return jspb.Message.setField(this, 7, value || []);
|
};
|
|
|
/**
|
* @param {number} value
|
* @param {number=} opt_index
|
* @return {!proto.tensorflow.HistogramProto} returns this
|
*/
|
proto.tensorflow.HistogramProto.prototype.addBucket = function(value, opt_index) {
|
return jspb.Message.addToRepeatedField(this, 7, value, opt_index);
|
};
|
|
|
/**
|
* Clears the list making it empty but non-null.
|
* @return {!proto.tensorflow.HistogramProto} returns this
|
*/
|
proto.tensorflow.HistogramProto.prototype.clearBucketList = function() {
|
return this.setBucketList([]);
|
};
|
|
|
|
|
|
if (jspb.Message.GENERATE_TO_OBJECT) {
|
/**
|
* Creates an object representation of this proto.
|
* Field names that are reserved in JavaScript and will be renamed to pb_name.
|
* Optional fields that are not set will be set to undefined.
|
* To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
|
* For the list of reserved names please see:
|
* net/proto2/compiler/js/internal/generator.cc#kKeyword.
|
* @param {boolean=} opt_includeInstance Deprecated. whether to include the
|
* JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @return {!Object}
|
*/
|
proto.tensorflow.SummaryMetadata.prototype.toObject = function(opt_includeInstance) {
|
return proto.tensorflow.SummaryMetadata.toObject(opt_includeInstance, this);
|
};
|
|
|
/**
|
* Static version of the {@see toObject} method.
|
* @param {boolean|undefined} includeInstance Deprecated. Whether to include
|
* the JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @param {!proto.tensorflow.SummaryMetadata} msg The msg instance to transform.
|
* @return {!Object}
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.SummaryMetadata.toObject = function(includeInstance, msg) {
|
var f, obj = {
|
pluginData: (f = msg.getPluginData()) && proto.tensorflow.SummaryMetadata.PluginData.toObject(includeInstance, f),
|
displayName: jspb.Message.getFieldWithDefault(msg, 2, ""),
|
summaryDescription: jspb.Message.getFieldWithDefault(msg, 3, ""),
|
dataClass: jspb.Message.getFieldWithDefault(msg, 4, 0)
|
};
|
|
if (includeInstance) {
|
obj.$jspbMessageInstance = msg;
|
}
|
return obj;
|
};
|
}
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format).
|
* @param {jspb.ByteSource} bytes The bytes to deserialize.
|
* @return {!proto.tensorflow.SummaryMetadata}
|
*/
|
proto.tensorflow.SummaryMetadata.deserializeBinary = function(bytes) {
|
var reader = new jspb.BinaryReader(bytes);
|
var msg = new proto.tensorflow.SummaryMetadata;
|
return proto.tensorflow.SummaryMetadata.deserializeBinaryFromReader(msg, reader);
|
};
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format) from the
|
* given reader into the given message object.
|
* @param {!proto.tensorflow.SummaryMetadata} msg The message object to deserialize into.
|
* @param {!jspb.BinaryReader} reader The BinaryReader to use.
|
* @return {!proto.tensorflow.SummaryMetadata}
|
*/
|
proto.tensorflow.SummaryMetadata.deserializeBinaryFromReader = function(msg, reader) {
|
while (reader.nextField()) {
|
if (reader.isEndGroup()) {
|
break;
|
}
|
var field = reader.getFieldNumber();
|
switch (field) {
|
case 1:
|
var value = new proto.tensorflow.SummaryMetadata.PluginData;
|
reader.readMessage(value,proto.tensorflow.SummaryMetadata.PluginData.deserializeBinaryFromReader);
|
msg.setPluginData(value);
|
break;
|
case 2:
|
var value = /** @type {string} */ (reader.readString());
|
msg.setDisplayName(value);
|
break;
|
case 3:
|
var value = /** @type {string} */ (reader.readString());
|
msg.setSummaryDescription(value);
|
break;
|
case 4:
|
var value = /** @type {!proto.tensorflow.DataClass} */ (reader.readEnum());
|
msg.setDataClass(value);
|
break;
|
default:
|
reader.skipField();
|
break;
|
}
|
}
|
return msg;
|
};
|
|
|
/**
|
* Serializes the message to binary data (in protobuf wire format).
|
* @return {!Uint8Array}
|
*/
|
proto.tensorflow.SummaryMetadata.prototype.serializeBinary = function() {
|
var writer = new jspb.BinaryWriter();
|
proto.tensorflow.SummaryMetadata.serializeBinaryToWriter(this, writer);
|
return writer.getResultBuffer();
|
};
|
|
|
/**
|
* Serializes the given message to binary data (in protobuf wire
|
* format), writing to the given BinaryWriter.
|
* @param {!proto.tensorflow.SummaryMetadata} message
|
* @param {!jspb.BinaryWriter} writer
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.SummaryMetadata.serializeBinaryToWriter = function(message, writer) {
|
var f = undefined;
|
f = message.getPluginData();
|
if (f != null) {
|
writer.writeMessage(
|
1,
|
f,
|
proto.tensorflow.SummaryMetadata.PluginData.serializeBinaryToWriter
|
);
|
}
|
f = message.getDisplayName();
|
if (f.length > 0) {
|
writer.writeString(
|
2,
|
f
|
);
|
}
|
f = message.getSummaryDescription();
|
if (f.length > 0) {
|
writer.writeString(
|
3,
|
f
|
);
|
}
|
f = message.getDataClass();
|
if (f !== 0.0) {
|
writer.writeEnum(
|
4,
|
f
|
);
|
}
|
};
|
|
|
|
|
|
if (jspb.Message.GENERATE_TO_OBJECT) {
|
/**
|
* Creates an object representation of this proto.
|
* Field names that are reserved in JavaScript and will be renamed to pb_name.
|
* Optional fields that are not set will be set to undefined.
|
* To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
|
* For the list of reserved names please see:
|
* net/proto2/compiler/js/internal/generator.cc#kKeyword.
|
* @param {boolean=} opt_includeInstance Deprecated. whether to include the
|
* JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @return {!Object}
|
*/
|
proto.tensorflow.SummaryMetadata.PluginData.prototype.toObject = function(opt_includeInstance) {
|
return proto.tensorflow.SummaryMetadata.PluginData.toObject(opt_includeInstance, this);
|
};
|
|
|
/**
|
* Static version of the {@see toObject} method.
|
* @param {boolean|undefined} includeInstance Deprecated. Whether to include
|
* the JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @param {!proto.tensorflow.SummaryMetadata.PluginData} msg The msg instance to transform.
|
* @return {!Object}
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.SummaryMetadata.PluginData.toObject = function(includeInstance, msg) {
|
var f, obj = {
|
pluginName: jspb.Message.getFieldWithDefault(msg, 1, ""),
|
content: msg.getContent_asB64()
|
};
|
|
if (includeInstance) {
|
obj.$jspbMessageInstance = msg;
|
}
|
return obj;
|
};
|
}
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format).
|
* @param {jspb.ByteSource} bytes The bytes to deserialize.
|
* @return {!proto.tensorflow.SummaryMetadata.PluginData}
|
*/
|
proto.tensorflow.SummaryMetadata.PluginData.deserializeBinary = function(bytes) {
|
var reader = new jspb.BinaryReader(bytes);
|
var msg = new proto.tensorflow.SummaryMetadata.PluginData;
|
return proto.tensorflow.SummaryMetadata.PluginData.deserializeBinaryFromReader(msg, reader);
|
};
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format) from the
|
* given reader into the given message object.
|
* @param {!proto.tensorflow.SummaryMetadata.PluginData} msg The message object to deserialize into.
|
* @param {!jspb.BinaryReader} reader The BinaryReader to use.
|
* @return {!proto.tensorflow.SummaryMetadata.PluginData}
|
*/
|
proto.tensorflow.SummaryMetadata.PluginData.deserializeBinaryFromReader = function(msg, reader) {
|
while (reader.nextField()) {
|
if (reader.isEndGroup()) {
|
break;
|
}
|
var field = reader.getFieldNumber();
|
switch (field) {
|
case 1:
|
var value = /** @type {string} */ (reader.readString());
|
msg.setPluginName(value);
|
break;
|
case 2:
|
var value = /** @type {!Uint8Array} */ (reader.readBytes());
|
msg.setContent(value);
|
break;
|
default:
|
reader.skipField();
|
break;
|
}
|
}
|
return msg;
|
};
|
|
|
/**
|
* Serializes the message to binary data (in protobuf wire format).
|
* @return {!Uint8Array}
|
*/
|
proto.tensorflow.SummaryMetadata.PluginData.prototype.serializeBinary = function() {
|
var writer = new jspb.BinaryWriter();
|
proto.tensorflow.SummaryMetadata.PluginData.serializeBinaryToWriter(this, writer);
|
return writer.getResultBuffer();
|
};
|
|
|
/**
|
* Serializes the given message to binary data (in protobuf wire
|
* format), writing to the given BinaryWriter.
|
* @param {!proto.tensorflow.SummaryMetadata.PluginData} message
|
* @param {!jspb.BinaryWriter} writer
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.SummaryMetadata.PluginData.serializeBinaryToWriter = function(message, writer) {
|
var f = undefined;
|
f = message.getPluginName();
|
if (f.length > 0) {
|
writer.writeString(
|
1,
|
f
|
);
|
}
|
f = message.getContent_asU8();
|
if (f.length > 0) {
|
writer.writeBytes(
|
2,
|
f
|
);
|
}
|
};
|
|
|
/**
|
* optional string plugin_name = 1;
|
* @return {string}
|
*/
|
proto.tensorflow.SummaryMetadata.PluginData.prototype.getPluginName = function() {
|
return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 1, ""));
|
};
|
|
|
/**
|
* @param {string} value
|
* @return {!proto.tensorflow.SummaryMetadata.PluginData} returns this
|
*/
|
proto.tensorflow.SummaryMetadata.PluginData.prototype.setPluginName = function(value) {
|
return jspb.Message.setProto3StringField(this, 1, value);
|
};
|
|
|
/**
|
* optional bytes content = 2;
|
* @return {!(string|Uint8Array)}
|
*/
|
proto.tensorflow.SummaryMetadata.PluginData.prototype.getContent = function() {
|
return /** @type {!(string|Uint8Array)} */ (jspb.Message.getFieldWithDefault(this, 2, ""));
|
};
|
|
|
/**
|
* optional bytes content = 2;
|
* This is a type-conversion wrapper around `getContent()`
|
* @return {string}
|
*/
|
proto.tensorflow.SummaryMetadata.PluginData.prototype.getContent_asB64 = function() {
|
return /** @type {string} */ (jspb.Message.bytesAsB64(
|
this.getContent()));
|
};
|
|
|
/**
|
* optional bytes content = 2;
|
* Note that Uint8Array is not supported on all browsers.
|
* @see http://caniuse.com/Uint8Array
|
* This is a type-conversion wrapper around `getContent()`
|
* @return {!Uint8Array}
|
*/
|
proto.tensorflow.SummaryMetadata.PluginData.prototype.getContent_asU8 = function() {
|
return /** @type {!Uint8Array} */ (jspb.Message.bytesAsU8(
|
this.getContent()));
|
};
|
|
|
/**
|
* @param {!(string|Uint8Array)} value
|
* @return {!proto.tensorflow.SummaryMetadata.PluginData} returns this
|
*/
|
proto.tensorflow.SummaryMetadata.PluginData.prototype.setContent = function(value) {
|
return jspb.Message.setProto3BytesField(this, 2, value);
|
};
|
|
|
/**
|
* optional PluginData plugin_data = 1;
|
* @return {?proto.tensorflow.SummaryMetadata.PluginData}
|
*/
|
proto.tensorflow.SummaryMetadata.prototype.getPluginData = function() {
|
return /** @type{?proto.tensorflow.SummaryMetadata.PluginData} */ (
|
jspb.Message.getWrapperField(this, proto.tensorflow.SummaryMetadata.PluginData, 1));
|
};
|
|
|
/**
|
* @param {?proto.tensorflow.SummaryMetadata.PluginData|undefined} value
|
* @return {!proto.tensorflow.SummaryMetadata} returns this
|
*/
|
proto.tensorflow.SummaryMetadata.prototype.setPluginData = function(value) {
|
return jspb.Message.setWrapperField(this, 1, value);
|
};
|
|
|
/**
|
* Clears the message field making it undefined.
|
* @return {!proto.tensorflow.SummaryMetadata} returns this
|
*/
|
proto.tensorflow.SummaryMetadata.prototype.clearPluginData = function() {
|
return this.setPluginData(undefined);
|
};
|
|
|
/**
|
* Returns whether this field is set.
|
* @return {boolean}
|
*/
|
proto.tensorflow.SummaryMetadata.prototype.hasPluginData = function() {
|
return jspb.Message.getField(this, 1) != null;
|
};
|
|
|
/**
|
* optional string display_name = 2;
|
* @return {string}
|
*/
|
proto.tensorflow.SummaryMetadata.prototype.getDisplayName = function() {
|
return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 2, ""));
|
};
|
|
|
/**
|
* @param {string} value
|
* @return {!proto.tensorflow.SummaryMetadata} returns this
|
*/
|
proto.tensorflow.SummaryMetadata.prototype.setDisplayName = function(value) {
|
return jspb.Message.setProto3StringField(this, 2, value);
|
};
|
|
|
/**
|
* optional string summary_description = 3;
|
* @return {string}
|
*/
|
proto.tensorflow.SummaryMetadata.prototype.getSummaryDescription = function() {
|
return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 3, ""));
|
};
|
|
|
/**
|
* @param {string} value
|
* @return {!proto.tensorflow.SummaryMetadata} returns this
|
*/
|
proto.tensorflow.SummaryMetadata.prototype.setSummaryDescription = function(value) {
|
return jspb.Message.setProto3StringField(this, 3, value);
|
};
|
|
|
/**
|
* optional DataClass data_class = 4;
|
* @return {!proto.tensorflow.DataClass}
|
*/
|
proto.tensorflow.SummaryMetadata.prototype.getDataClass = function() {
|
return /** @type {!proto.tensorflow.DataClass} */ (jspb.Message.getFieldWithDefault(this, 4, 0));
|
};
|
|
|
/**
|
* @param {!proto.tensorflow.DataClass} value
|
* @return {!proto.tensorflow.SummaryMetadata} returns this
|
*/
|
proto.tensorflow.SummaryMetadata.prototype.setDataClass = function(value) {
|
return jspb.Message.setProto3EnumField(this, 4, value);
|
};
|
|
|
|
/**
|
* List of repeated fields within this message type.
|
* @private {!Array<number>}
|
* @const
|
*/
|
proto.tensorflow.Summary.repeatedFields_ = [1];
|
|
|
|
if (jspb.Message.GENERATE_TO_OBJECT) {
|
/**
|
* Creates an object representation of this proto.
|
* Field names that are reserved in JavaScript and will be renamed to pb_name.
|
* Optional fields that are not set will be set to undefined.
|
* To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
|
* For the list of reserved names please see:
|
* net/proto2/compiler/js/internal/generator.cc#kKeyword.
|
* @param {boolean=} opt_includeInstance Deprecated. whether to include the
|
* JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @return {!Object}
|
*/
|
proto.tensorflow.Summary.prototype.toObject = function(opt_includeInstance) {
|
return proto.tensorflow.Summary.toObject(opt_includeInstance, this);
|
};
|
|
|
/**
|
* Static version of the {@see toObject} method.
|
* @param {boolean|undefined} includeInstance Deprecated. Whether to include
|
* the JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @param {!proto.tensorflow.Summary} msg The msg instance to transform.
|
* @return {!Object}
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.Summary.toObject = function(includeInstance, msg) {
|
var f, obj = {
|
valueList: jspb.Message.toObjectList(msg.getValueList(),
|
proto.tensorflow.Summary.Value.toObject, includeInstance)
|
};
|
|
if (includeInstance) {
|
obj.$jspbMessageInstance = msg;
|
}
|
return obj;
|
};
|
}
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format).
|
* @param {jspb.ByteSource} bytes The bytes to deserialize.
|
* @return {!proto.tensorflow.Summary}
|
*/
|
proto.tensorflow.Summary.deserializeBinary = function(bytes) {
|
var reader = new jspb.BinaryReader(bytes);
|
var msg = new proto.tensorflow.Summary;
|
return proto.tensorflow.Summary.deserializeBinaryFromReader(msg, reader);
|
};
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format) from the
|
* given reader into the given message object.
|
* @param {!proto.tensorflow.Summary} msg The message object to deserialize into.
|
* @param {!jspb.BinaryReader} reader The BinaryReader to use.
|
* @return {!proto.tensorflow.Summary}
|
*/
|
proto.tensorflow.Summary.deserializeBinaryFromReader = function(msg, reader) {
|
while (reader.nextField()) {
|
if (reader.isEndGroup()) {
|
break;
|
}
|
var field = reader.getFieldNumber();
|
switch (field) {
|
case 1:
|
var value = new proto.tensorflow.Summary.Value;
|
reader.readMessage(value,proto.tensorflow.Summary.Value.deserializeBinaryFromReader);
|
msg.addValue(value);
|
break;
|
default:
|
reader.skipField();
|
break;
|
}
|
}
|
return msg;
|
};
|
|
|
/**
|
* Serializes the message to binary data (in protobuf wire format).
|
* @return {!Uint8Array}
|
*/
|
proto.tensorflow.Summary.prototype.serializeBinary = function() {
|
var writer = new jspb.BinaryWriter();
|
proto.tensorflow.Summary.serializeBinaryToWriter(this, writer);
|
return writer.getResultBuffer();
|
};
|
|
|
/**
|
* Serializes the given message to binary data (in protobuf wire
|
* format), writing to the given BinaryWriter.
|
* @param {!proto.tensorflow.Summary} message
|
* @param {!jspb.BinaryWriter} writer
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.Summary.serializeBinaryToWriter = function(message, writer) {
|
var f = undefined;
|
f = message.getValueList();
|
if (f.length > 0) {
|
writer.writeRepeatedMessage(
|
1,
|
f,
|
proto.tensorflow.Summary.Value.serializeBinaryToWriter
|
);
|
}
|
};
|
|
|
|
|
|
if (jspb.Message.GENERATE_TO_OBJECT) {
|
/**
|
* Creates an object representation of this proto.
|
* Field names that are reserved in JavaScript and will be renamed to pb_name.
|
* Optional fields that are not set will be set to undefined.
|
* To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
|
* For the list of reserved names please see:
|
* net/proto2/compiler/js/internal/generator.cc#kKeyword.
|
* @param {boolean=} opt_includeInstance Deprecated. whether to include the
|
* JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @return {!Object}
|
*/
|
proto.tensorflow.Summary.Image.prototype.toObject = function(opt_includeInstance) {
|
return proto.tensorflow.Summary.Image.toObject(opt_includeInstance, this);
|
};
|
|
|
/**
|
* Static version of the {@see toObject} method.
|
* @param {boolean|undefined} includeInstance Deprecated. Whether to include
|
* the JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @param {!proto.tensorflow.Summary.Image} msg The msg instance to transform.
|
* @return {!Object}
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.Summary.Image.toObject = function(includeInstance, msg) {
|
var f, obj = {
|
height: jspb.Message.getFieldWithDefault(msg, 1, 0),
|
width: jspb.Message.getFieldWithDefault(msg, 2, 0),
|
colorspace: jspb.Message.getFieldWithDefault(msg, 3, 0),
|
encodedImageString: msg.getEncodedImageString_asB64()
|
};
|
|
if (includeInstance) {
|
obj.$jspbMessageInstance = msg;
|
}
|
return obj;
|
};
|
}
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format).
|
* @param {jspb.ByteSource} bytes The bytes to deserialize.
|
* @return {!proto.tensorflow.Summary.Image}
|
*/
|
proto.tensorflow.Summary.Image.deserializeBinary = function(bytes) {
|
var reader = new jspb.BinaryReader(bytes);
|
var msg = new proto.tensorflow.Summary.Image;
|
return proto.tensorflow.Summary.Image.deserializeBinaryFromReader(msg, reader);
|
};
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format) from the
|
* given reader into the given message object.
|
* @param {!proto.tensorflow.Summary.Image} msg The message object to deserialize into.
|
* @param {!jspb.BinaryReader} reader The BinaryReader to use.
|
* @return {!proto.tensorflow.Summary.Image}
|
*/
|
proto.tensorflow.Summary.Image.deserializeBinaryFromReader = function(msg, reader) {
|
while (reader.nextField()) {
|
if (reader.isEndGroup()) {
|
break;
|
}
|
var field = reader.getFieldNumber();
|
switch (field) {
|
case 1:
|
var value = /** @type {number} */ (reader.readInt32());
|
msg.setHeight(value);
|
break;
|
case 2:
|
var value = /** @type {number} */ (reader.readInt32());
|
msg.setWidth(value);
|
break;
|
case 3:
|
var value = /** @type {number} */ (reader.readInt32());
|
msg.setColorspace(value);
|
break;
|
case 4:
|
var value = /** @type {!Uint8Array} */ (reader.readBytes());
|
msg.setEncodedImageString(value);
|
break;
|
default:
|
reader.skipField();
|
break;
|
}
|
}
|
return msg;
|
};
|
|
|
/**
|
* Serializes the message to binary data (in protobuf wire format).
|
* @return {!Uint8Array}
|
*/
|
proto.tensorflow.Summary.Image.prototype.serializeBinary = function() {
|
var writer = new jspb.BinaryWriter();
|
proto.tensorflow.Summary.Image.serializeBinaryToWriter(this, writer);
|
return writer.getResultBuffer();
|
};
|
|
|
/**
|
* Serializes the given message to binary data (in protobuf wire
|
* format), writing to the given BinaryWriter.
|
* @param {!proto.tensorflow.Summary.Image} message
|
* @param {!jspb.BinaryWriter} writer
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.Summary.Image.serializeBinaryToWriter = function(message, writer) {
|
var f = undefined;
|
f = message.getHeight();
|
if (f !== 0) {
|
writer.writeInt32(
|
1,
|
f
|
);
|
}
|
f = message.getWidth();
|
if (f !== 0) {
|
writer.writeInt32(
|
2,
|
f
|
);
|
}
|
f = message.getColorspace();
|
if (f !== 0) {
|
writer.writeInt32(
|
3,
|
f
|
);
|
}
|
f = message.getEncodedImageString_asU8();
|
if (f.length > 0) {
|
writer.writeBytes(
|
4,
|
f
|
);
|
}
|
};
|
|
|
/**
|
* optional int32 height = 1;
|
* @return {number}
|
*/
|
proto.tensorflow.Summary.Image.prototype.getHeight = function() {
|
return /** @type {number} */ (jspb.Message.getFieldWithDefault(this, 1, 0));
|
};
|
|
|
/**
|
* @param {number} value
|
* @return {!proto.tensorflow.Summary.Image} returns this
|
*/
|
proto.tensorflow.Summary.Image.prototype.setHeight = function(value) {
|
return jspb.Message.setProto3IntField(this, 1, value);
|
};
|
|
|
/**
|
* optional int32 width = 2;
|
* @return {number}
|
*/
|
proto.tensorflow.Summary.Image.prototype.getWidth = function() {
|
return /** @type {number} */ (jspb.Message.getFieldWithDefault(this, 2, 0));
|
};
|
|
|
/**
|
* @param {number} value
|
* @return {!proto.tensorflow.Summary.Image} returns this
|
*/
|
proto.tensorflow.Summary.Image.prototype.setWidth = function(value) {
|
return jspb.Message.setProto3IntField(this, 2, value);
|
};
|
|
|
/**
|
* optional int32 colorspace = 3;
|
* @return {number}
|
*/
|
proto.tensorflow.Summary.Image.prototype.getColorspace = function() {
|
return /** @type {number} */ (jspb.Message.getFieldWithDefault(this, 3, 0));
|
};
|
|
|
/**
|
* @param {number} value
|
* @return {!proto.tensorflow.Summary.Image} returns this
|
*/
|
proto.tensorflow.Summary.Image.prototype.setColorspace = function(value) {
|
return jspb.Message.setProto3IntField(this, 3, value);
|
};
|
|
|
/**
|
* optional bytes encoded_image_string = 4;
|
* @return {!(string|Uint8Array)}
|
*/
|
proto.tensorflow.Summary.Image.prototype.getEncodedImageString = function() {
|
return /** @type {!(string|Uint8Array)} */ (jspb.Message.getFieldWithDefault(this, 4, ""));
|
};
|
|
|
/**
|
* optional bytes encoded_image_string = 4;
|
* This is a type-conversion wrapper around `getEncodedImageString()`
|
* @return {string}
|
*/
|
proto.tensorflow.Summary.Image.prototype.getEncodedImageString_asB64 = function() {
|
return /** @type {string} */ (jspb.Message.bytesAsB64(
|
this.getEncodedImageString()));
|
};
|
|
|
/**
|
* optional bytes encoded_image_string = 4;
|
* Note that Uint8Array is not supported on all browsers.
|
* @see http://caniuse.com/Uint8Array
|
* This is a type-conversion wrapper around `getEncodedImageString()`
|
* @return {!Uint8Array}
|
*/
|
proto.tensorflow.Summary.Image.prototype.getEncodedImageString_asU8 = function() {
|
return /** @type {!Uint8Array} */ (jspb.Message.bytesAsU8(
|
this.getEncodedImageString()));
|
};
|
|
|
/**
|
* @param {!(string|Uint8Array)} value
|
* @return {!proto.tensorflow.Summary.Image} returns this
|
*/
|
proto.tensorflow.Summary.Image.prototype.setEncodedImageString = function(value) {
|
return jspb.Message.setProto3BytesField(this, 4, value);
|
};
|
|
|
|
|
|
if (jspb.Message.GENERATE_TO_OBJECT) {
|
/**
|
* Creates an object representation of this proto.
|
* Field names that are reserved in JavaScript and will be renamed to pb_name.
|
* Optional fields that are not set will be set to undefined.
|
* To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
|
* For the list of reserved names please see:
|
* net/proto2/compiler/js/internal/generator.cc#kKeyword.
|
* @param {boolean=} opt_includeInstance Deprecated. whether to include the
|
* JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @return {!Object}
|
*/
|
proto.tensorflow.Summary.Audio.prototype.toObject = function(opt_includeInstance) {
|
return proto.tensorflow.Summary.Audio.toObject(opt_includeInstance, this);
|
};
|
|
|
/**
|
* Static version of the {@see toObject} method.
|
* @param {boolean|undefined} includeInstance Deprecated. Whether to include
|
* the JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @param {!proto.tensorflow.Summary.Audio} msg The msg instance to transform.
|
* @return {!Object}
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.Summary.Audio.toObject = function(includeInstance, msg) {
|
var f, obj = {
|
sampleRate: jspb.Message.getFloatingPointFieldWithDefault(msg, 1, 0.0),
|
numChannels: jspb.Message.getFieldWithDefault(msg, 2, 0),
|
lengthFrames: jspb.Message.getFieldWithDefault(msg, 3, 0),
|
encodedAudioString: msg.getEncodedAudioString_asB64(),
|
contentType: jspb.Message.getFieldWithDefault(msg, 5, "")
|
};
|
|
if (includeInstance) {
|
obj.$jspbMessageInstance = msg;
|
}
|
return obj;
|
};
|
}
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format).
|
* @param {jspb.ByteSource} bytes The bytes to deserialize.
|
* @return {!proto.tensorflow.Summary.Audio}
|
*/
|
proto.tensorflow.Summary.Audio.deserializeBinary = function(bytes) {
|
var reader = new jspb.BinaryReader(bytes);
|
var msg = new proto.tensorflow.Summary.Audio;
|
return proto.tensorflow.Summary.Audio.deserializeBinaryFromReader(msg, reader);
|
};
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format) from the
|
* given reader into the given message object.
|
* @param {!proto.tensorflow.Summary.Audio} msg The message object to deserialize into.
|
* @param {!jspb.BinaryReader} reader The BinaryReader to use.
|
* @return {!proto.tensorflow.Summary.Audio}
|
*/
|
proto.tensorflow.Summary.Audio.deserializeBinaryFromReader = function(msg, reader) {
|
while (reader.nextField()) {
|
if (reader.isEndGroup()) {
|
break;
|
}
|
var field = reader.getFieldNumber();
|
switch (field) {
|
case 1:
|
var value = /** @type {number} */ (reader.readFloat());
|
msg.setSampleRate(value);
|
break;
|
case 2:
|
var value = /** @type {number} */ (reader.readInt64());
|
msg.setNumChannels(value);
|
break;
|
case 3:
|
var value = /** @type {number} */ (reader.readInt64());
|
msg.setLengthFrames(value);
|
break;
|
case 4:
|
var value = /** @type {!Uint8Array} */ (reader.readBytes());
|
msg.setEncodedAudioString(value);
|
break;
|
case 5:
|
var value = /** @type {string} */ (reader.readString());
|
msg.setContentType(value);
|
break;
|
default:
|
reader.skipField();
|
break;
|
}
|
}
|
return msg;
|
};
|
|
|
/**
|
* Serializes the message to binary data (in protobuf wire format).
|
* @return {!Uint8Array}
|
*/
|
proto.tensorflow.Summary.Audio.prototype.serializeBinary = function() {
|
var writer = new jspb.BinaryWriter();
|
proto.tensorflow.Summary.Audio.serializeBinaryToWriter(this, writer);
|
return writer.getResultBuffer();
|
};
|
|
|
/**
|
* Serializes the given message to binary data (in protobuf wire
|
* format), writing to the given BinaryWriter.
|
* @param {!proto.tensorflow.Summary.Audio} message
|
* @param {!jspb.BinaryWriter} writer
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.Summary.Audio.serializeBinaryToWriter = function(message, writer) {
|
var f = undefined;
|
f = message.getSampleRate();
|
if (f !== 0.0) {
|
writer.writeFloat(
|
1,
|
f
|
);
|
}
|
f = message.getNumChannels();
|
if (f !== 0) {
|
writer.writeInt64(
|
2,
|
f
|
);
|
}
|
f = message.getLengthFrames();
|
if (f !== 0) {
|
writer.writeInt64(
|
3,
|
f
|
);
|
}
|
f = message.getEncodedAudioString_asU8();
|
if (f.length > 0) {
|
writer.writeBytes(
|
4,
|
f
|
);
|
}
|
f = message.getContentType();
|
if (f.length > 0) {
|
writer.writeString(
|
5,
|
f
|
);
|
}
|
};
|
|
|
/**
|
* optional float sample_rate = 1;
|
* @return {number}
|
*/
|
proto.tensorflow.Summary.Audio.prototype.getSampleRate = function() {
|
return /** @type {number} */ (jspb.Message.getFloatingPointFieldWithDefault(this, 1, 0.0));
|
};
|
|
|
/**
|
* @param {number} value
|
* @return {!proto.tensorflow.Summary.Audio} returns this
|
*/
|
proto.tensorflow.Summary.Audio.prototype.setSampleRate = function(value) {
|
return jspb.Message.setProto3FloatField(this, 1, value);
|
};
|
|
|
/**
|
* optional int64 num_channels = 2;
|
* @return {number}
|
*/
|
proto.tensorflow.Summary.Audio.prototype.getNumChannels = function() {
|
return /** @type {number} */ (jspb.Message.getFieldWithDefault(this, 2, 0));
|
};
|
|
|
/**
|
* @param {number} value
|
* @return {!proto.tensorflow.Summary.Audio} returns this
|
*/
|
proto.tensorflow.Summary.Audio.prototype.setNumChannels = function(value) {
|
return jspb.Message.setProto3IntField(this, 2, value);
|
};
|
|
|
/**
|
* optional int64 length_frames = 3;
|
* @return {number}
|
*/
|
proto.tensorflow.Summary.Audio.prototype.getLengthFrames = function() {
|
return /** @type {number} */ (jspb.Message.getFieldWithDefault(this, 3, 0));
|
};
|
|
|
/**
|
* @param {number} value
|
* @return {!proto.tensorflow.Summary.Audio} returns this
|
*/
|
proto.tensorflow.Summary.Audio.prototype.setLengthFrames = function(value) {
|
return jspb.Message.setProto3IntField(this, 3, value);
|
};
|
|
|
/**
|
* optional bytes encoded_audio_string = 4;
|
* @return {!(string|Uint8Array)}
|
*/
|
proto.tensorflow.Summary.Audio.prototype.getEncodedAudioString = function() {
|
return /** @type {!(string|Uint8Array)} */ (jspb.Message.getFieldWithDefault(this, 4, ""));
|
};
|
|
|
/**
|
* optional bytes encoded_audio_string = 4;
|
* This is a type-conversion wrapper around `getEncodedAudioString()`
|
* @return {string}
|
*/
|
proto.tensorflow.Summary.Audio.prototype.getEncodedAudioString_asB64 = function() {
|
return /** @type {string} */ (jspb.Message.bytesAsB64(
|
this.getEncodedAudioString()));
|
};
|
|
|
/**
|
* optional bytes encoded_audio_string = 4;
|
* Note that Uint8Array is not supported on all browsers.
|
* @see http://caniuse.com/Uint8Array
|
* This is a type-conversion wrapper around `getEncodedAudioString()`
|
* @return {!Uint8Array}
|
*/
|
proto.tensorflow.Summary.Audio.prototype.getEncodedAudioString_asU8 = function() {
|
return /** @type {!Uint8Array} */ (jspb.Message.bytesAsU8(
|
this.getEncodedAudioString()));
|
};
|
|
|
/**
|
* @param {!(string|Uint8Array)} value
|
* @return {!proto.tensorflow.Summary.Audio} returns this
|
*/
|
proto.tensorflow.Summary.Audio.prototype.setEncodedAudioString = function(value) {
|
return jspb.Message.setProto3BytesField(this, 4, value);
|
};
|
|
|
/**
|
* optional string content_type = 5;
|
* @return {string}
|
*/
|
proto.tensorflow.Summary.Audio.prototype.getContentType = function() {
|
return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 5, ""));
|
};
|
|
|
/**
|
* @param {string} value
|
* @return {!proto.tensorflow.Summary.Audio} returns this
|
*/
|
proto.tensorflow.Summary.Audio.prototype.setContentType = function(value) {
|
return jspb.Message.setProto3StringField(this, 5, value);
|
};
|
|
|
|
/**
|
* Oneof group definitions for this message. Each group defines the field
|
* numbers belonging to that group. When of these fields' value is set, all
|
* other fields in the group are cleared. During deserialization, if multiple
|
* fields are encountered for a group, only the last value seen will be kept.
|
* @private {!Array<!Array<number>>}
|
* @const
|
*/
|
proto.tensorflow.Summary.Value.oneofGroups_ = [[2,3,4,5,6,8]];
|
|
/**
|
* @enum {number}
|
*/
|
proto.tensorflow.Summary.Value.ValueCase = {
|
VALUE_NOT_SET: 0,
|
SIMPLE_VALUE: 2,
|
OBSOLETE_OLD_STYLE_HISTOGRAM: 3,
|
IMAGE: 4,
|
HISTO: 5,
|
AUDIO: 6,
|
TENSOR: 8
|
};
|
|
/**
|
* @return {proto.tensorflow.Summary.Value.ValueCase}
|
*/
|
proto.tensorflow.Summary.Value.prototype.getValueCase = function() {
|
return /** @type {proto.tensorflow.Summary.Value.ValueCase} */(jspb.Message.computeOneofCase(this, proto.tensorflow.Summary.Value.oneofGroups_[0]));
|
};
|
|
|
|
if (jspb.Message.GENERATE_TO_OBJECT) {
|
/**
|
* Creates an object representation of this proto.
|
* Field names that are reserved in JavaScript and will be renamed to pb_name.
|
* Optional fields that are not set will be set to undefined.
|
* To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
|
* For the list of reserved names please see:
|
* net/proto2/compiler/js/internal/generator.cc#kKeyword.
|
* @param {boolean=} opt_includeInstance Deprecated. whether to include the
|
* JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @return {!Object}
|
*/
|
proto.tensorflow.Summary.Value.prototype.toObject = function(opt_includeInstance) {
|
return proto.tensorflow.Summary.Value.toObject(opt_includeInstance, this);
|
};
|
|
|
/**
|
* Static version of the {@see toObject} method.
|
* @param {boolean|undefined} includeInstance Deprecated. Whether to include
|
* the JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @param {!proto.tensorflow.Summary.Value} msg The msg instance to transform.
|
* @return {!Object}
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.Summary.Value.toObject = function(includeInstance, msg) {
|
var f, obj = {
|
nodeName: jspb.Message.getFieldWithDefault(msg, 7, ""),
|
tag: jspb.Message.getFieldWithDefault(msg, 1, ""),
|
metadata: (f = msg.getMetadata()) && proto.tensorflow.SummaryMetadata.toObject(includeInstance, f),
|
simpleValue: jspb.Message.getFloatingPointFieldWithDefault(msg, 2, 0.0),
|
obsoleteOldStyleHistogram: msg.getObsoleteOldStyleHistogram_asB64(),
|
image: (f = msg.getImage()) && proto.tensorflow.Summary.Image.toObject(includeInstance, f),
|
histo: (f = msg.getHisto()) && proto.tensorflow.HistogramProto.toObject(includeInstance, f),
|
audio: (f = msg.getAudio()) && proto.tensorflow.Summary.Audio.toObject(includeInstance, f),
|
tensor: (f = msg.getTensor()) && proto.tensorflow.Tensor.toObject(includeInstance, f)
|
};
|
|
if (includeInstance) {
|
obj.$jspbMessageInstance = msg;
|
}
|
return obj;
|
};
|
}
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format).
|
* @param {jspb.ByteSource} bytes The bytes to deserialize.
|
* @return {!proto.tensorflow.Summary.Value}
|
*/
|
proto.tensorflow.Summary.Value.deserializeBinary = function(bytes) {
|
var reader = new jspb.BinaryReader(bytes);
|
var msg = new proto.tensorflow.Summary.Value;
|
return proto.tensorflow.Summary.Value.deserializeBinaryFromReader(msg, reader);
|
};
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format) from the
|
* given reader into the given message object.
|
* @param {!proto.tensorflow.Summary.Value} msg The message object to deserialize into.
|
* @param {!jspb.BinaryReader} reader The BinaryReader to use.
|
* @return {!proto.tensorflow.Summary.Value}
|
*/
|
proto.tensorflow.Summary.Value.deserializeBinaryFromReader = function(msg, reader) {
|
while (reader.nextField()) {
|
if (reader.isEndGroup()) {
|
break;
|
}
|
var field = reader.getFieldNumber();
|
switch (field) {
|
case 7:
|
var value = /** @type {string} */ (reader.readString());
|
msg.setNodeName(value);
|
break;
|
case 1:
|
var value = /** @type {string} */ (reader.readString());
|
msg.setTag(value);
|
break;
|
case 9:
|
var value = new proto.tensorflow.SummaryMetadata;
|
reader.readMessage(value,proto.tensorflow.SummaryMetadata.deserializeBinaryFromReader);
|
msg.setMetadata(value);
|
break;
|
case 2:
|
var value = /** @type {number} */ (reader.readFloat());
|
msg.setSimpleValue(value);
|
break;
|
case 3:
|
var value = /** @type {!Uint8Array} */ (reader.readBytes());
|
msg.setObsoleteOldStyleHistogram(value);
|
break;
|
case 4:
|
var value = new proto.tensorflow.Summary.Image;
|
reader.readMessage(value,proto.tensorflow.Summary.Image.deserializeBinaryFromReader);
|
msg.setImage(value);
|
break;
|
case 5:
|
var value = new proto.tensorflow.HistogramProto;
|
reader.readMessage(value,proto.tensorflow.HistogramProto.deserializeBinaryFromReader);
|
msg.setHisto(value);
|
break;
|
case 6:
|
var value = new proto.tensorflow.Summary.Audio;
|
reader.readMessage(value,proto.tensorflow.Summary.Audio.deserializeBinaryFromReader);
|
msg.setAudio(value);
|
break;
|
case 8:
|
var value = new proto.tensorflow.Tensor;
|
reader.readMessage(value,proto.tensorflow.Tensor.deserializeBinaryFromReader);
|
msg.setTensor(value);
|
break;
|
default:
|
reader.skipField();
|
break;
|
}
|
}
|
return msg;
|
};
|
|
|
/**
|
* Serializes the message to binary data (in protobuf wire format).
|
* @return {!Uint8Array}
|
*/
|
proto.tensorflow.Summary.Value.prototype.serializeBinary = function() {
|
var writer = new jspb.BinaryWriter();
|
proto.tensorflow.Summary.Value.serializeBinaryToWriter(this, writer);
|
return writer.getResultBuffer();
|
};
|
|
|
/**
|
* Serializes the given message to binary data (in protobuf wire
|
* format), writing to the given BinaryWriter.
|
* @param {!proto.tensorflow.Summary.Value} message
|
* @param {!jspb.BinaryWriter} writer
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.Summary.Value.serializeBinaryToWriter = function(message, writer) {
|
var f = undefined;
|
f = message.getNodeName();
|
if (f.length > 0) {
|
writer.writeString(
|
7,
|
f
|
);
|
}
|
f = message.getTag();
|
if (f.length > 0) {
|
writer.writeString(
|
1,
|
f
|
);
|
}
|
f = message.getMetadata();
|
if (f != null) {
|
writer.writeMessage(
|
9,
|
f,
|
proto.tensorflow.SummaryMetadata.serializeBinaryToWriter
|
);
|
}
|
f = /** @type {number} */ (jspb.Message.getField(message, 2));
|
if (f != null) {
|
writer.writeFloat(
|
2,
|
f
|
);
|
}
|
f = /** @type {!(string|Uint8Array)} */ (jspb.Message.getField(message, 3));
|
if (f != null) {
|
writer.writeBytes(
|
3,
|
f
|
);
|
}
|
f = message.getImage();
|
if (f != null) {
|
writer.writeMessage(
|
4,
|
f,
|
proto.tensorflow.Summary.Image.serializeBinaryToWriter
|
);
|
}
|
f = message.getHisto();
|
if (f != null) {
|
writer.writeMessage(
|
5,
|
f,
|
proto.tensorflow.HistogramProto.serializeBinaryToWriter
|
);
|
}
|
f = message.getAudio();
|
if (f != null) {
|
writer.writeMessage(
|
6,
|
f,
|
proto.tensorflow.Summary.Audio.serializeBinaryToWriter
|
);
|
}
|
f = message.getTensor();
|
if (f != null) {
|
writer.writeMessage(
|
8,
|
f,
|
proto.tensorflow.Tensor.serializeBinaryToWriter
|
);
|
}
|
};
|
|
|
/**
|
* optional string node_name = 7;
|
* @return {string}
|
*/
|
proto.tensorflow.Summary.Value.prototype.getNodeName = function() {
|
return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 7, ""));
|
};
|
|
|
/**
|
* @param {string} value
|
* @return {!proto.tensorflow.Summary.Value} returns this
|
*/
|
proto.tensorflow.Summary.Value.prototype.setNodeName = function(value) {
|
return jspb.Message.setProto3StringField(this, 7, value);
|
};
|
|
|
/**
|
* optional string tag = 1;
|
* @return {string}
|
*/
|
proto.tensorflow.Summary.Value.prototype.getTag = function() {
|
return /** @type {string} */ (jspb.Message.getFieldWithDefault(this, 1, ""));
|
};
|
|
|
/**
|
* @param {string} value
|
* @return {!proto.tensorflow.Summary.Value} returns this
|
*/
|
proto.tensorflow.Summary.Value.prototype.setTag = function(value) {
|
return jspb.Message.setProto3StringField(this, 1, value);
|
};
|
|
|
/**
|
* optional SummaryMetadata metadata = 9;
|
* @return {?proto.tensorflow.SummaryMetadata}
|
*/
|
proto.tensorflow.Summary.Value.prototype.getMetadata = function() {
|
return /** @type{?proto.tensorflow.SummaryMetadata} */ (
|
jspb.Message.getWrapperField(this, proto.tensorflow.SummaryMetadata, 9));
|
};
|
|
|
/**
|
* @param {?proto.tensorflow.SummaryMetadata|undefined} value
|
* @return {!proto.tensorflow.Summary.Value} returns this
|
*/
|
proto.tensorflow.Summary.Value.prototype.setMetadata = function(value) {
|
return jspb.Message.setWrapperField(this, 9, value);
|
};
|
|
|
/**
|
* Clears the message field making it undefined.
|
* @return {!proto.tensorflow.Summary.Value} returns this
|
*/
|
proto.tensorflow.Summary.Value.prototype.clearMetadata = function() {
|
return this.setMetadata(undefined);
|
};
|
|
|
/**
|
* Returns whether this field is set.
|
* @return {boolean}
|
*/
|
proto.tensorflow.Summary.Value.prototype.hasMetadata = function() {
|
return jspb.Message.getField(this, 9) != null;
|
};
|
|
|
/**
|
* optional float simple_value = 2;
|
* @return {number}
|
*/
|
proto.tensorflow.Summary.Value.prototype.getSimpleValue = function() {
|
return /** @type {number} */ (jspb.Message.getFloatingPointFieldWithDefault(this, 2, 0.0));
|
};
|
|
|
/**
|
* @param {number} value
|
* @return {!proto.tensorflow.Summary.Value} returns this
|
*/
|
proto.tensorflow.Summary.Value.prototype.setSimpleValue = function(value) {
|
return jspb.Message.setOneofField(this, 2, proto.tensorflow.Summary.Value.oneofGroups_[0], value);
|
};
|
|
|
/**
|
* Clears the field making it undefined.
|
* @return {!proto.tensorflow.Summary.Value} returns this
|
*/
|
proto.tensorflow.Summary.Value.prototype.clearSimpleValue = function() {
|
return jspb.Message.setOneofField(this, 2, proto.tensorflow.Summary.Value.oneofGroups_[0], undefined);
|
};
|
|
|
/**
|
* Returns whether this field is set.
|
* @return {boolean}
|
*/
|
proto.tensorflow.Summary.Value.prototype.hasSimpleValue = function() {
|
return jspb.Message.getField(this, 2) != null;
|
};
|
|
|
/**
|
* optional bytes obsolete_old_style_histogram = 3;
|
* @return {!(string|Uint8Array)}
|
*/
|
proto.tensorflow.Summary.Value.prototype.getObsoleteOldStyleHistogram = function() {
|
return /** @type {!(string|Uint8Array)} */ (jspb.Message.getFieldWithDefault(this, 3, ""));
|
};
|
|
|
/**
|
* optional bytes obsolete_old_style_histogram = 3;
|
* This is a type-conversion wrapper around `getObsoleteOldStyleHistogram()`
|
* @return {string}
|
*/
|
proto.tensorflow.Summary.Value.prototype.getObsoleteOldStyleHistogram_asB64 = function() {
|
return /** @type {string} */ (jspb.Message.bytesAsB64(
|
this.getObsoleteOldStyleHistogram()));
|
};
|
|
|
/**
|
* optional bytes obsolete_old_style_histogram = 3;
|
* Note that Uint8Array is not supported on all browsers.
|
* @see http://caniuse.com/Uint8Array
|
* This is a type-conversion wrapper around `getObsoleteOldStyleHistogram()`
|
* @return {!Uint8Array}
|
*/
|
proto.tensorflow.Summary.Value.prototype.getObsoleteOldStyleHistogram_asU8 = function() {
|
return /** @type {!Uint8Array} */ (jspb.Message.bytesAsU8(
|
this.getObsoleteOldStyleHistogram()));
|
};
|
|
|
/**
|
* @param {!(string|Uint8Array)} value
|
* @return {!proto.tensorflow.Summary.Value} returns this
|
*/
|
proto.tensorflow.Summary.Value.prototype.setObsoleteOldStyleHistogram = function(value) {
|
return jspb.Message.setOneofField(this, 3, proto.tensorflow.Summary.Value.oneofGroups_[0], value);
|
};
|
|
|
/**
|
* Clears the field making it undefined.
|
* @return {!proto.tensorflow.Summary.Value} returns this
|
*/
|
proto.tensorflow.Summary.Value.prototype.clearObsoleteOldStyleHistogram = function() {
|
return jspb.Message.setOneofField(this, 3, proto.tensorflow.Summary.Value.oneofGroups_[0], undefined);
|
};
|
|
|
/**
|
* Returns whether this field is set.
|
* @return {boolean}
|
*/
|
proto.tensorflow.Summary.Value.prototype.hasObsoleteOldStyleHistogram = function() {
|
return jspb.Message.getField(this, 3) != null;
|
};
|
|
|
/**
|
* optional Image image = 4;
|
* @return {?proto.tensorflow.Summary.Image}
|
*/
|
proto.tensorflow.Summary.Value.prototype.getImage = function() {
|
return /** @type{?proto.tensorflow.Summary.Image} */ (
|
jspb.Message.getWrapperField(this, proto.tensorflow.Summary.Image, 4));
|
};
|
|
|
/**
|
* @param {?proto.tensorflow.Summary.Image|undefined} value
|
* @return {!proto.tensorflow.Summary.Value} returns this
|
*/
|
proto.tensorflow.Summary.Value.prototype.setImage = function(value) {
|
return jspb.Message.setOneofWrapperField(this, 4, proto.tensorflow.Summary.Value.oneofGroups_[0], value);
|
};
|
|
|
/**
|
* Clears the message field making it undefined.
|
* @return {!proto.tensorflow.Summary.Value} returns this
|
*/
|
proto.tensorflow.Summary.Value.prototype.clearImage = function() {
|
return this.setImage(undefined);
|
};
|
|
|
/**
|
* Returns whether this field is set.
|
* @return {boolean}
|
*/
|
proto.tensorflow.Summary.Value.prototype.hasImage = function() {
|
return jspb.Message.getField(this, 4) != null;
|
};
|
|
|
/**
|
* optional HistogramProto histo = 5;
|
* @return {?proto.tensorflow.HistogramProto}
|
*/
|
proto.tensorflow.Summary.Value.prototype.getHisto = function() {
|
return /** @type{?proto.tensorflow.HistogramProto} */ (
|
jspb.Message.getWrapperField(this, proto.tensorflow.HistogramProto, 5));
|
};
|
|
|
/**
|
* @param {?proto.tensorflow.HistogramProto|undefined} value
|
* @return {!proto.tensorflow.Summary.Value} returns this
|
*/
|
proto.tensorflow.Summary.Value.prototype.setHisto = function(value) {
|
return jspb.Message.setOneofWrapperField(this, 5, proto.tensorflow.Summary.Value.oneofGroups_[0], value);
|
};
|
|
|
/**
|
* Clears the message field making it undefined.
|
* @return {!proto.tensorflow.Summary.Value} returns this
|
*/
|
proto.tensorflow.Summary.Value.prototype.clearHisto = function() {
|
return this.setHisto(undefined);
|
};
|
|
|
/**
|
* Returns whether this field is set.
|
* @return {boolean}
|
*/
|
proto.tensorflow.Summary.Value.prototype.hasHisto = function() {
|
return jspb.Message.getField(this, 5) != null;
|
};
|
|
|
/**
|
* optional Audio audio = 6;
|
* @return {?proto.tensorflow.Summary.Audio}
|
*/
|
proto.tensorflow.Summary.Value.prototype.getAudio = function() {
|
return /** @type{?proto.tensorflow.Summary.Audio} */ (
|
jspb.Message.getWrapperField(this, proto.tensorflow.Summary.Audio, 6));
|
};
|
|
|
/**
|
* @param {?proto.tensorflow.Summary.Audio|undefined} value
|
* @return {!proto.tensorflow.Summary.Value} returns this
|
*/
|
proto.tensorflow.Summary.Value.prototype.setAudio = function(value) {
|
return jspb.Message.setOneofWrapperField(this, 6, proto.tensorflow.Summary.Value.oneofGroups_[0], value);
|
};
|
|
|
/**
|
* Clears the message field making it undefined.
|
* @return {!proto.tensorflow.Summary.Value} returns this
|
*/
|
proto.tensorflow.Summary.Value.prototype.clearAudio = function() {
|
return this.setAudio(undefined);
|
};
|
|
|
/**
|
* Returns whether this field is set.
|
* @return {boolean}
|
*/
|
proto.tensorflow.Summary.Value.prototype.hasAudio = function() {
|
return jspb.Message.getField(this, 6) != null;
|
};
|
|
|
/**
|
* optional Tensor tensor = 8;
|
* @return {?proto.tensorflow.Tensor}
|
*/
|
proto.tensorflow.Summary.Value.prototype.getTensor = function() {
|
return /** @type{?proto.tensorflow.Tensor} */ (
|
jspb.Message.getWrapperField(this, proto.tensorflow.Tensor, 8));
|
};
|
|
|
/**
|
* @param {?proto.tensorflow.Tensor|undefined} value
|
* @return {!proto.tensorflow.Summary.Value} returns this
|
*/
|
proto.tensorflow.Summary.Value.prototype.setTensor = function(value) {
|
return jspb.Message.setOneofWrapperField(this, 8, proto.tensorflow.Summary.Value.oneofGroups_[0], value);
|
};
|
|
|
/**
|
* Clears the message field making it undefined.
|
* @return {!proto.tensorflow.Summary.Value} returns this
|
*/
|
proto.tensorflow.Summary.Value.prototype.clearTensor = function() {
|
return this.setTensor(undefined);
|
};
|
|
|
/**
|
* Returns whether this field is set.
|
* @return {boolean}
|
*/
|
proto.tensorflow.Summary.Value.prototype.hasTensor = function() {
|
return jspb.Message.getField(this, 8) != null;
|
};
|
|
|
/**
|
* repeated Value value = 1;
|
* @return {!Array<!proto.tensorflow.Summary.Value>}
|
*/
|
proto.tensorflow.Summary.prototype.getValueList = function() {
|
return /** @type{!Array<!proto.tensorflow.Summary.Value>} */ (
|
jspb.Message.getRepeatedWrapperField(this, proto.tensorflow.Summary.Value, 1));
|
};
|
|
|
/**
|
* @param {!Array<!proto.tensorflow.Summary.Value>} value
|
* @return {!proto.tensorflow.Summary} returns this
|
*/
|
proto.tensorflow.Summary.prototype.setValueList = function(value) {
|
return jspb.Message.setRepeatedWrapperField(this, 1, value);
|
};
|
|
|
/**
|
* @param {!proto.tensorflow.Summary.Value=} opt_value
|
* @param {number=} opt_index
|
* @return {!proto.tensorflow.Summary.Value}
|
*/
|
proto.tensorflow.Summary.prototype.addValue = function(opt_value, opt_index) {
|
return jspb.Message.addToRepeatedWrapperField(this, 1, opt_value, proto.tensorflow.Summary.Value, opt_index);
|
};
|
|
|
/**
|
* Clears the list making it empty but non-null.
|
* @return {!proto.tensorflow.Summary} returns this
|
*/
|
proto.tensorflow.Summary.prototype.clearValueList = function() {
|
return this.setValueList([]);
|
};
|
|
|
|
|
|
if (jspb.Message.GENERATE_TO_OBJECT) {
|
/**
|
* Creates an object representation of this proto.
|
* Field names that are reserved in JavaScript and will be renamed to pb_name.
|
* Optional fields that are not set will be set to undefined.
|
* To access a reserved field use, foo.pb_<name>, eg, foo.pb_default.
|
* For the list of reserved names please see:
|
* net/proto2/compiler/js/internal/generator.cc#kKeyword.
|
* @param {boolean=} opt_includeInstance Deprecated. whether to include the
|
* JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @return {!Object}
|
*/
|
proto.tensorflow.HistogramPluginData.prototype.toObject = function(opt_includeInstance) {
|
return proto.tensorflow.HistogramPluginData.toObject(opt_includeInstance, this);
|
};
|
|
|
/**
|
* Static version of the {@see toObject} method.
|
* @param {boolean|undefined} includeInstance Deprecated. Whether to include
|
* the JSPB instance for transitional soy proto support:
|
* http://goto/soy-param-migration
|
* @param {!proto.tensorflow.HistogramPluginData} msg The msg instance to transform.
|
* @return {!Object}
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.HistogramPluginData.toObject = function(includeInstance, msg) {
|
var f, obj = {
|
version: jspb.Message.getFieldWithDefault(msg, 1, 0)
|
};
|
|
if (includeInstance) {
|
obj.$jspbMessageInstance = msg;
|
}
|
return obj;
|
};
|
}
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format).
|
* @param {jspb.ByteSource} bytes The bytes to deserialize.
|
* @return {!proto.tensorflow.HistogramPluginData}
|
*/
|
proto.tensorflow.HistogramPluginData.deserializeBinary = function(bytes) {
|
var reader = new jspb.BinaryReader(bytes);
|
var msg = new proto.tensorflow.HistogramPluginData;
|
return proto.tensorflow.HistogramPluginData.deserializeBinaryFromReader(msg, reader);
|
};
|
|
|
/**
|
* Deserializes binary data (in protobuf wire format) from the
|
* given reader into the given message object.
|
* @param {!proto.tensorflow.HistogramPluginData} msg The message object to deserialize into.
|
* @param {!jspb.BinaryReader} reader The BinaryReader to use.
|
* @return {!proto.tensorflow.HistogramPluginData}
|
*/
|
proto.tensorflow.HistogramPluginData.deserializeBinaryFromReader = function(msg, reader) {
|
while (reader.nextField()) {
|
if (reader.isEndGroup()) {
|
break;
|
}
|
var field = reader.getFieldNumber();
|
switch (field) {
|
case 1:
|
var value = /** @type {number} */ (reader.readInt32());
|
msg.setVersion(value);
|
break;
|
default:
|
reader.skipField();
|
break;
|
}
|
}
|
return msg;
|
};
|
|
|
/**
|
* Serializes the message to binary data (in protobuf wire format).
|
* @return {!Uint8Array}
|
*/
|
proto.tensorflow.HistogramPluginData.prototype.serializeBinary = function() {
|
var writer = new jspb.BinaryWriter();
|
proto.tensorflow.HistogramPluginData.serializeBinaryToWriter(this, writer);
|
return writer.getResultBuffer();
|
};
|
|
|
/**
|
* Serializes the given message to binary data (in protobuf wire
|
* format), writing to the given BinaryWriter.
|
* @param {!proto.tensorflow.HistogramPluginData} message
|
* @param {!jspb.BinaryWriter} writer
|
* @suppress {unusedLocalVariables} f is only used for nested messages
|
*/
|
proto.tensorflow.HistogramPluginData.serializeBinaryToWriter = function(message, writer) {
|
var f = undefined;
|
f = message.getVersion();
|
if (f !== 0) {
|
writer.writeInt32(
|
1,
|
f
|
);
|
}
|
};
|
|
|
/**
|
* optional int32 version = 1;
|
* @return {number}
|
*/
|
proto.tensorflow.HistogramPluginData.prototype.getVersion = function() {
|
return /** @type {number} */ (jspb.Message.getFieldWithDefault(this, 1, 0));
|
};
|
|
|
/**
|
* @param {number} value
|
* @return {!proto.tensorflow.HistogramPluginData} returns this
|
*/
|
proto.tensorflow.HistogramPluginData.prototype.setVersion = function(value) {
|
return jspb.Message.setProto3IntField(this, 1, value);
|
};
|
|
|
/**
|
* @enum {number}
|
*/
|
proto.tensorflow.DataType = {
|
DT_INVALID: 0,
|
DT_FLOAT: 1,
|
DT_DOUBLE: 2,
|
DT_INT32: 3,
|
DT_UINT8: 4,
|
DT_INT16: 5,
|
DT_INT8: 6,
|
DT_STRING: 7,
|
DT_COMPLEX64: 8,
|
DT_INT64: 9,
|
DT_BOOL: 10,
|
DT_QINT8: 11,
|
DT_QUINT8: 12,
|
DT_QINT32: 13,
|
DT_BFLOAT16: 14,
|
DT_FLOAT_REF: 101,
|
DT_DOUBLE_REF: 102,
|
DT_INT32_REF: 103,
|
DT_UINT8_REF: 104,
|
DT_INT16_REF: 105,
|
DT_INT8_REF: 106,
|
DT_STRING_REF: 107,
|
DT_COMPLEX64_REF: 108,
|
DT_INT64_REF: 109,
|
DT_BOOL_REF: 110,
|
DT_QINT8_REF: 111,
|
DT_QUINT8_REF: 112,
|
DT_QINT32_REF: 113,
|
DT_BFLOAT16_REF: 114
|
};
|
|
/**
|
* @enum {number}
|
*/
|
proto.tensorflow.DataClass = {
|
DATA_CLASS_UNKNOWN: 0,
|
DATA_CLASS_SCALAR: 1,
|
DATA_CLASS_TENSOR: 2,
|
DATA_CLASS_BLOB_SEQUENCE: 3
|
};
|
|
goog.object.extend(exports, proto.tensorflow);
|
