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@tensorflow/tfjs-core

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Hardware-accelerated JavaScript library for machine intelligence

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/** * @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. * ============================================================================= */ import {GPGPUContext} from './gpgpu_context'; import {GPGPUProgram} from './gpgpu_math'; export class MultinomialProgram implements GPGPUProgram { variableNames = ['probs']; outputShape: number[]; userCode: string; // Caching uniform location for speed. seedLoc: WebGLUniformLocation; constructor(batchSize: number, numOutcomes: number, numSamples: number) { this.outputShape = [batchSize, numSamples]; this.userCode = ` uniform float seed; void main() { ivec2 coords = getOutputCoords(); int batch = coords[0]; float r = random(seed); float cdf = 0.0; for (int i = 0; i < ${numOutcomes - 1}; i++) { cdf += getProbs(batch, i); if (r < cdf) { setOutput(float(i)); return; } } // If no other event happened, last event happened. setOutput(float(${numOutcomes - 1})); } `; } getCustomSetupFunc(seed: number) { return (gpgpu: GPGPUContext, webGLProgram: WebGLProgram) => { if (this.seedLoc == null) { this.seedLoc = gpgpu.getUniformLocation(webGLProgram, 'seed'); } gpgpu.gl.uniform1f(this.seedLoc, seed); }; } }