@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
46 lines • 2.35 kB
JavaScript
;
/**
* @license
* Copyright 2017 Google Inc. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
Object.defineProperty(exports, "__esModule", { value: true });
var LRNProgram = /** @class */ (function () {
function LRNProgram(xShape, radius, bias, alpha, beta) {
this.variableNames = ['x'];
this.outputShape = [];
var rad = radius;
var maxD = xShape[3] - 1;
this.outputShape = xShape;
// optimize pow(bias + alpha * sum, -beta)
// src: https://github.com/tensorflow/tensorflow/..
// blob/26033a1644a9c4a5fbe3170ab2e864b6a4ccd4ca/..
// tensorflow/core/kernels/mkl_lrn_op.cc#L320
var powOperator;
var basis = "float(" + bias + ") + float(" + alpha + ") * sum";
if (beta === 0.5) {
powOperator = "inversesqrt(" + basis + ")";
}
else if (beta === 1.0) {
powOperator = "1.0/(" + basis + ")";
}
else {
powOperator = "exp(log(" + basis + ") * float(-" + beta + "));";
}
this.userCode = "\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int r = coords[1];\n int c = coords[2];\n int d = coords[3];\n float x = getX(b, r, c, d);\n float sum = 0.0;\n for (int j = -" + rad + "; j <= " + rad + "; j++) {\n int idx = d + j;\n if (idx >= 0 && idx <= " + maxD + ") {\n float z = getX(b, r, c, idx);\n sum += z * z;\n }\n }\n float val = x * " + powOperator + ";\n setOutput(val);\n }\n ";
}
return LRNProgram;
}());
exports.LRNProgram = LRNProgram;
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