32 lines
1.1 KiB
JavaScript
32 lines
1.1 KiB
JavaScript
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import * as tf from '@tensorflow/tfjs-core';
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import { conv, convDown, convNoRelu } from './convLayer';
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export function residual(x, params) {
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let out = conv(x, params.conv1);
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out = convNoRelu(out, params.conv2);
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out = tf.add(out, x);
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out = tf.relu(out);
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return out;
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}
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export function residualDown(x, params) {
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let out = convDown(x, params.conv1);
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out = convNoRelu(out, params.conv2);
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let pooled = tf.avgPool(x, 2, 2, 'valid');
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const zeros = tf.zeros(pooled.shape);
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const isPad = pooled.shape[3] !== out.shape[3];
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const isAdjustShape = pooled.shape[1] !== out.shape[1] || pooled.shape[2] !== out.shape[2];
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if (isAdjustShape) {
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const padShapeX = [...out.shape];
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padShapeX[1] = 1;
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const zerosW = tf.zeros(padShapeX);
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out = tf.concat([out, zerosW], 1);
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const padShapeY = [...out.shape];
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padShapeY[2] = 1;
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const zerosH = tf.zeros(padShapeY);
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out = tf.concat([out, zerosH], 2);
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}
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pooled = isPad ? tf.concat([pooled, zeros], 3) : pooled;
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out = tf.add(pooled, out);
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out = tf.relu(out);
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return out;
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}
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//# sourceMappingURL=residualLayer.js.map
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