import { __assign } from "tslib";
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import * as tf from '@tensorflow/tfjs-core';
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import { extractConvParamsFactory, extractFCParamsFactory, extractWeightsFactory, } from '../common';
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function extractorsFactory(extractWeights, paramMappings) {
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var extractConvParams = extractConvParamsFactory(extractWeights, paramMappings);
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var extractFCParams = extractFCParamsFactory(extractWeights, paramMappings);
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function extractPReluParams(size, paramPath) {
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var alpha = tf.tensor1d(extractWeights(size));
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paramMappings.push({ paramPath: paramPath });
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return alpha;
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}
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function extractSharedParams(numFilters, mappedPrefix, isRnet) {
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if (isRnet === void 0) { isRnet = false; }
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var conv1 = extractConvParams(numFilters[0], numFilters[1], 3, mappedPrefix + "/conv1");
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var prelu1_alpha = extractPReluParams(numFilters[1], mappedPrefix + "/prelu1_alpha");
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var conv2 = extractConvParams(numFilters[1], numFilters[2], 3, mappedPrefix + "/conv2");
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var prelu2_alpha = extractPReluParams(numFilters[2], mappedPrefix + "/prelu2_alpha");
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var conv3 = extractConvParams(numFilters[2], numFilters[3], isRnet ? 2 : 3, mappedPrefix + "/conv3");
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var prelu3_alpha = extractPReluParams(numFilters[3], mappedPrefix + "/prelu3_alpha");
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return { conv1: conv1, prelu1_alpha: prelu1_alpha, conv2: conv2, prelu2_alpha: prelu2_alpha, conv3: conv3, prelu3_alpha: prelu3_alpha };
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}
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function extractPNetParams() {
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var sharedParams = extractSharedParams([3, 10, 16, 32], 'pnet');
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var conv4_1 = extractConvParams(32, 2, 1, 'pnet/conv4_1');
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var conv4_2 = extractConvParams(32, 4, 1, 'pnet/conv4_2');
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return __assign(__assign({}, sharedParams), { conv4_1: conv4_1, conv4_2: conv4_2 });
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}
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function extractRNetParams() {
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var sharedParams = extractSharedParams([3, 28, 48, 64], 'rnet', true);
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var fc1 = extractFCParams(576, 128, 'rnet/fc1');
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var prelu4_alpha = extractPReluParams(128, 'rnet/prelu4_alpha');
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var fc2_1 = extractFCParams(128, 2, 'rnet/fc2_1');
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var fc2_2 = extractFCParams(128, 4, 'rnet/fc2_2');
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return __assign(__assign({}, sharedParams), { fc1: fc1, prelu4_alpha: prelu4_alpha, fc2_1: fc2_1, fc2_2: fc2_2 });
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}
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function extractONetParams() {
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var sharedParams = extractSharedParams([3, 32, 64, 64], 'onet');
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var conv4 = extractConvParams(64, 128, 2, 'onet/conv4');
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var prelu4_alpha = extractPReluParams(128, 'onet/prelu4_alpha');
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var fc1 = extractFCParams(1152, 256, 'onet/fc1');
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var prelu5_alpha = extractPReluParams(256, 'onet/prelu5_alpha');
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var fc2_1 = extractFCParams(256, 2, 'onet/fc2_1');
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var fc2_2 = extractFCParams(256, 4, 'onet/fc2_2');
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var fc2_3 = extractFCParams(256, 10, 'onet/fc2_3');
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return __assign(__assign({}, sharedParams), { conv4: conv4, prelu4_alpha: prelu4_alpha, fc1: fc1, prelu5_alpha: prelu5_alpha, fc2_1: fc2_1, fc2_2: fc2_2, fc2_3: fc2_3 });
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}
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return {
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extractPNetParams: extractPNetParams,
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extractRNetParams: extractRNetParams,
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extractONetParams: extractONetParams
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};
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}
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export function extractParams(weights) {
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var _a = extractWeightsFactory(weights), extractWeights = _a.extractWeights, getRemainingWeights = _a.getRemainingWeights;
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var paramMappings = [];
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var _b = extractorsFactory(extractWeights, paramMappings), extractPNetParams = _b.extractPNetParams, extractRNetParams = _b.extractRNetParams, extractONetParams = _b.extractONetParams;
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var pnet = extractPNetParams();
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var rnet = extractRNetParams();
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var onet = extractONetParams();
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if (getRemainingWeights().length !== 0) {
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throw new Error("weights remaing after extract: " + getRemainingWeights().length);
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}
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return { params: { pnet: pnet, rnet: rnet, onet: onet }, paramMappings: paramMappings };
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}
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//# sourceMappingURL=extractParams.js.map
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