"use strict";
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/**
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* @license
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* Copyright 2017 Google Inc. 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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Object.defineProperty(exports, "__esModule", { value: true });
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var MultinomialProgram = /** @class */ (function () {
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function MultinomialProgram(batchSize, numOutcomes, numSamples) {
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this.variableNames = ['probs'];
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this.outputShape = [batchSize, numSamples];
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this.userCode = "\n uniform float seed;\n\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n\n float r = random(seed);\n float cdf = 0.0;\n\n for (int i = 0; i < " + (numOutcomes - 1) + "; i++) {\n cdf += getProbs(batch, i);\n\n if (r < cdf) {\n setOutput(float(i));\n return;\n }\n }\n\n // If no other event happened, last event happened.\n setOutput(float(" + (numOutcomes - 1) + "));\n }\n ";
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}
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MultinomialProgram.prototype.getCustomSetupFunc = function (seed) {
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var _this = this;
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return function (gpgpu, webGLProgram) {
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if (_this.seedLoc == null) {
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_this.seedLoc = gpgpu.getUniformLocation(webGLProgram, 'seed');
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}
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gpgpu.gl.uniform1f(_this.seedLoc, seed);
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};
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};
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return MultinomialProgram;
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}());
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exports.MultinomialProgram = MultinomialProgram;
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//# sourceMappingURL=multinomial_gpu.js.map
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