"use strict";
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Object.defineProperty(exports, "__esModule", { value: true });
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var common_1 = require("../common");
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var utils_1 = require("../utils");
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function extractorsFactory(weightMap, paramMappings) {
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var extractWeightEntry = common_1.extractWeightEntryFactory(weightMap, paramMappings);
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function extractPointwiseConvParams(prefix, idx, mappedPrefix) {
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var filters = extractWeightEntry(prefix + "/Conv2d_" + idx + "_pointwise/weights", 4, mappedPrefix + "/filters");
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var batch_norm_offset = extractWeightEntry(prefix + "/Conv2d_" + idx + "_pointwise/convolution_bn_offset", 1, mappedPrefix + "/batch_norm_offset");
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return { filters: filters, batch_norm_offset: batch_norm_offset };
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}
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function extractConvPairParams(idx) {
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var mappedPrefix = "mobilenetv1/conv_" + idx;
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var prefixDepthwiseConv = "MobilenetV1/Conv2d_" + idx + "_depthwise";
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var mappedPrefixDepthwiseConv = mappedPrefix + "/depthwise_conv";
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var mappedPrefixPointwiseConv = mappedPrefix + "/pointwise_conv";
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var filters = extractWeightEntry(prefixDepthwiseConv + "/depthwise_weights", 4, mappedPrefixDepthwiseConv + "/filters");
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var batch_norm_scale = extractWeightEntry(prefixDepthwiseConv + "/BatchNorm/gamma", 1, mappedPrefixDepthwiseConv + "/batch_norm_scale");
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var batch_norm_offset = extractWeightEntry(prefixDepthwiseConv + "/BatchNorm/beta", 1, mappedPrefixDepthwiseConv + "/batch_norm_offset");
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var batch_norm_mean = extractWeightEntry(prefixDepthwiseConv + "/BatchNorm/moving_mean", 1, mappedPrefixDepthwiseConv + "/batch_norm_mean");
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var batch_norm_variance = extractWeightEntry(prefixDepthwiseConv + "/BatchNorm/moving_variance", 1, mappedPrefixDepthwiseConv + "/batch_norm_variance");
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return {
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depthwise_conv: {
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filters: filters,
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batch_norm_scale: batch_norm_scale,
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batch_norm_offset: batch_norm_offset,
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batch_norm_mean: batch_norm_mean,
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batch_norm_variance: batch_norm_variance
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},
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pointwise_conv: extractPointwiseConvParams('MobilenetV1', idx, mappedPrefixPointwiseConv)
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};
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}
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function extractMobilenetV1Params() {
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return {
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conv_0: extractPointwiseConvParams('MobilenetV1', 0, 'mobilenetv1/conv_0'),
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conv_1: extractConvPairParams(1),
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conv_2: extractConvPairParams(2),
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conv_3: extractConvPairParams(3),
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conv_4: extractConvPairParams(4),
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conv_5: extractConvPairParams(5),
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conv_6: extractConvPairParams(6),
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conv_7: extractConvPairParams(7),
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conv_8: extractConvPairParams(8),
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conv_9: extractConvPairParams(9),
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conv_10: extractConvPairParams(10),
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conv_11: extractConvPairParams(11),
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conv_12: extractConvPairParams(12),
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conv_13: extractConvPairParams(13)
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};
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}
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function extractConvParams(prefix, mappedPrefix) {
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var filters = extractWeightEntry(prefix + "/weights", 4, mappedPrefix + "/filters");
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var bias = extractWeightEntry(prefix + "/biases", 1, mappedPrefix + "/bias");
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return { filters: filters, bias: bias };
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}
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function extractBoxPredictorParams(idx) {
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var box_encoding_predictor = extractConvParams("Prediction/BoxPredictor_" + idx + "/BoxEncodingPredictor", "prediction_layer/box_predictor_" + idx + "/box_encoding_predictor");
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var class_predictor = extractConvParams("Prediction/BoxPredictor_" + idx + "/ClassPredictor", "prediction_layer/box_predictor_" + idx + "/class_predictor");
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return { box_encoding_predictor: box_encoding_predictor, class_predictor: class_predictor };
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}
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function extractPredictionLayerParams() {
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return {
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conv_0: extractPointwiseConvParams('Prediction', 0, 'prediction_layer/conv_0'),
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conv_1: extractPointwiseConvParams('Prediction', 1, 'prediction_layer/conv_1'),
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conv_2: extractPointwiseConvParams('Prediction', 2, 'prediction_layer/conv_2'),
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conv_3: extractPointwiseConvParams('Prediction', 3, 'prediction_layer/conv_3'),
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conv_4: extractPointwiseConvParams('Prediction', 4, 'prediction_layer/conv_4'),
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conv_5: extractPointwiseConvParams('Prediction', 5, 'prediction_layer/conv_5'),
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conv_6: extractPointwiseConvParams('Prediction', 6, 'prediction_layer/conv_6'),
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conv_7: extractPointwiseConvParams('Prediction', 7, 'prediction_layer/conv_7'),
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box_predictor_0: extractBoxPredictorParams(0),
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box_predictor_1: extractBoxPredictorParams(1),
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box_predictor_2: extractBoxPredictorParams(2),
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box_predictor_3: extractBoxPredictorParams(3),
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box_predictor_4: extractBoxPredictorParams(4),
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box_predictor_5: extractBoxPredictorParams(5)
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};
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}
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return {
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extractMobilenetV1Params: extractMobilenetV1Params,
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extractPredictionLayerParams: extractPredictionLayerParams
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};
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}
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function extractParamsFromWeigthMap(weightMap) {
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var paramMappings = [];
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var _a = extractorsFactory(weightMap, paramMappings), extractMobilenetV1Params = _a.extractMobilenetV1Params, extractPredictionLayerParams = _a.extractPredictionLayerParams;
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var extra_dim = weightMap['Output/extra_dim'];
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paramMappings.push({ originalPath: 'Output/extra_dim', paramPath: 'output_layer/extra_dim' });
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if (!utils_1.isTensor3D(extra_dim)) {
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throw new Error("expected weightMap['Output/extra_dim'] to be a Tensor3D, instead have " + extra_dim);
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}
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var params = {
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mobilenetv1: extractMobilenetV1Params(),
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prediction_layer: extractPredictionLayerParams(),
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output_layer: {
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extra_dim: extra_dim
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}
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};
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common_1.disposeUnusedWeightTensors(weightMap, paramMappings);
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return { params: params, paramMappings: paramMappings };
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}
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exports.extractParamsFromWeigthMap = extractParamsFromWeigthMap;
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//# sourceMappingURL=extractParamsFromWeigthMap.js.map
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