import * as tf from '../../dist/tfjs.esm';
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import { ConvParams } from '../common/index';
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import { disposeUnusedWeightTensors } from '../common/disposeUnusedWeightTensors';
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import { loadSeparableConvParamsFactory } from '../common/extractSeparableConvParamsFactory';
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import { extractWeightEntryFactory } from '../common/extractWeightEntryFactory';
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import { ParamMapping } from '../common/types';
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import { TinyYolov2Config } from './config';
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import { BatchNorm, ConvWithBatchNorm, TinyYolov2NetParams } from './types';
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function extractorsFactory(weightMap: any, paramMappings: ParamMapping[]) {
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const extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);
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function extractBatchNormParams(prefix: string): BatchNorm {
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const sub = extractWeightEntry(`${prefix}/sub`, 1);
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const truediv = extractWeightEntry(`${prefix}/truediv`, 1);
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return { sub, truediv };
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}
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function extractConvParams(prefix: string): ConvParams {
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const filters = extractWeightEntry(`${prefix}/filters`, 4);
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const bias = extractWeightEntry(`${prefix}/bias`, 1);
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return { filters, bias };
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}
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function extractConvWithBatchNormParams(prefix: string): ConvWithBatchNorm {
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const conv = extractConvParams(`${prefix}/conv`);
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const bn = extractBatchNormParams(`${prefix}/bn`);
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return { conv, bn };
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}
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const extractSeparableConvParams = loadSeparableConvParamsFactory(extractWeightEntry);
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return {
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extractConvParams,
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extractConvWithBatchNormParams,
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extractSeparableConvParams,
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};
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}
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export function extractParamsFromWeightMap(
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weightMap: tf.NamedTensorMap,
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config: TinyYolov2Config,
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): { params: TinyYolov2NetParams, paramMappings: ParamMapping[] } {
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const paramMappings: ParamMapping[] = [];
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const {
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extractConvParams,
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extractConvWithBatchNormParams,
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extractSeparableConvParams,
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} = extractorsFactory(weightMap, paramMappings);
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let params: TinyYolov2NetParams;
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if (config.withSeparableConvs) {
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// eslint-disable-next-line no-mixed-operators
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const numFilters = (config.filterSizes && config.filterSizes.length || 9);
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params = {
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conv0: config.isFirstLayerConv2d ? extractConvParams('conv0') : extractSeparableConvParams('conv0'),
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conv1: extractSeparableConvParams('conv1'),
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conv2: extractSeparableConvParams('conv2'),
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conv3: extractSeparableConvParams('conv3'),
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conv4: extractSeparableConvParams('conv4'),
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conv5: extractSeparableConvParams('conv5'),
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conv6: numFilters > 7 ? extractSeparableConvParams('conv6') : undefined,
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conv7: numFilters > 8 ? extractSeparableConvParams('conv7') : undefined,
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conv8: extractConvParams('conv8'),
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};
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} else {
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params = {
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conv0: extractConvWithBatchNormParams('conv0'),
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conv1: extractConvWithBatchNormParams('conv1'),
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conv2: extractConvWithBatchNormParams('conv2'),
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conv3: extractConvWithBatchNormParams('conv3'),
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conv4: extractConvWithBatchNormParams('conv4'),
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conv5: extractConvWithBatchNormParams('conv5'),
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conv6: extractConvWithBatchNormParams('conv6'),
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conv7: extractConvWithBatchNormParams('conv7'),
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conv8: extractConvParams('conv8'),
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};
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}
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disposeUnusedWeightTensors(weightMap, paramMappings);
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return { params, paramMappings };
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}
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