/**
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* @license
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* Copyright 2017 Google LLC. All Rights Reserved.
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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* =============================================================================
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*/
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export class LRNProgram {
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constructor(xShape, radius, bias, alpha, beta) {
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this.variableNames = ['x'];
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this.outputShape = [];
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const rad = radius;
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const maxD = xShape[3] - 1;
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this.outputShape = xShape;
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// optimize pow(bias + alpha * sum, -beta)
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// src: https://github.com/tensorflow/tensorflow/..
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// blob/26033a1644a9c4a5fbe3170ab2e864b6a4ccd4ca/..
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// tensorflow/core/kernels/mkl_lrn_op.cc#L320
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let powOperator;
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const basis = `float(${bias}) + float(${alpha}) * sum`;
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if (beta === 0.5) {
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powOperator = `inversesqrt(${basis})`;
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}
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else if (beta === 1.0) {
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powOperator = `1.0/(${basis})`;
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}
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else {
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powOperator = `exp(log(${basis}) * float(-${beta}));`;
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}
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this.userCode = `
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void main() {
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ivec4 coords = getOutputCoords();
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int b = coords[0];
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int r = coords[1];
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int c = coords[2];
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int d = coords[3];
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float x = getX(b, r, c, d);
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float sum = 0.0;
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for (int j = -${rad}; j <= ${rad}; j++) {
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int idx = d + j;
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if (idx >= 0 && idx <= ${maxD}) {
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float z = getX(b, r, c, idx);
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sum += z * z;
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}
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}
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float val = x * ${powOperator};
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setOutput(val);
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}
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`;
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}
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}
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