"use strict";
|
/**
|
* @license
|
* Copyright 2020 Google LLC. All Rights Reserved.
|
* Licensed under the Apache License, Version 2.0 (the "License");
|
* you may not use this file except in compliance with the License.
|
* You may obtain a copy of the License at
|
*
|
* http://www.apache.org/licenses/LICENSE-2.0
|
*
|
* Unless required by applicable law or agreed to in writing, software
|
* distributed under the License is distributed on an "AS IS" BASIS,
|
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
* See the License for the specific language governing permissions and
|
* limitations under the License.
|
* =============================================================================
|
*/
|
Object.defineProperty(exports, "__esModule", { value: true });
|
exports.batchToSpaceNDConfig = void 0;
|
var tfjs_1 = require("@tensorflow/tfjs");
|
var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
|
exports.batchToSpaceNDConfig = {
|
kernelName: tfjs_1.BatchToSpaceND,
|
backendName: 'tensorflow',
|
kernelFunc: function (args) {
|
var x = args.inputs.x;
|
var backend = args.backend;
|
var _a = args.attrs, blockShape = _a.blockShape, crops = _a.crops;
|
var blockShapeTensor = (0, tfjs_1.tensor1d)(blockShape, 'int32');
|
var cropsTensor = (0, tfjs_1.tensor2d)(crops, [crops.length, crops[0].length], 'int32');
|
var opAttrs = [
|
(0, nodejs_kernel_backend_1.createTensorsTypeOpAttr)('T', x.dtype),
|
(0, nodejs_kernel_backend_1.createTensorsTypeOpAttr)('Tblock_shape', 'int32'),
|
(0, nodejs_kernel_backend_1.createTensorsTypeOpAttr)('Tcrops', cropsTensor.dtype)
|
];
|
var res = backend.executeSingleOutput(tfjs_1.BatchToSpaceND, opAttrs, [x, blockShapeTensor, cropsTensor]);
|
cropsTensor.dispose();
|
blockShapeTensor.dispose();
|
return res;
|
}
|
};
|
