@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
37 lines • 1.73 kB
JavaScript
;
/**
* @license
* Copyright 2020 Google LLC. 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 environment_1 = require("../../../environment");
var kernel_names_1 = require("../../../kernel_names");
var binaryop_gpu_1 = require("../binaryop_gpu");
var binaryop_packed_gpu_1 = require("../binaryop_packed_gpu");
exports.squaredDifferenceConfig = {
kernelName: kernel_names_1.SquaredDifference,
backendName: 'webgl',
kernelFunc: function (_a) {
var inputs = _a.inputs, backend = _a.backend;
var _b = inputs, a = _b.a, b = _b.b;
var SQUARED_DIFFERENCE = 'return (a - b) * (a - b);';
var webGLBackend = backend;
var program = environment_1.env().getBool('WEBGL_PACK_BINARY_OPERATIONS') ?
new binaryop_packed_gpu_1.BinaryOpPackedProgram(SQUARED_DIFFERENCE, a.shape, b.shape) :
new binaryop_gpu_1.BinaryOpProgram(SQUARED_DIFFERENCE, a.shape, b.shape);
return webGLBackend.compileAndRun(program, [a, b]);
}
};
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