@tensorflow/tfjs-node
Version:
This repository provides native TensorFlow execution in backend JavaScript applications under the Node.js runtime, accelerated by the TensorFlow C binary under the hood. It provides the same API as [TensorFlow.js](https://js.tensorflow.org/api/latest/).
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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 });
exports._fusedMatMulConfig = void 0;
var tfjs_1 = require("@tensorflow/tfjs");
exports._fusedMatMulConfig = {
kernelName: tfjs_1._FusedMatMul,
backendName: 'tensorflow',
kernelFunc: function (args) {
var _a = args.inputs, a = _a.a, b = _a.b, bias = _a.bias, preluActivationWeights = _a.preluActivationWeights;
var backend = args.backend;
var _b = args.attrs, transposeA = _b.transposeA, transposeB = _b.transposeB, activation = _b.activation, leakyreluAlpha = _b.leakyreluAlpha;
// Core TensorFlow does not have a fused BatchMatMul op. Combine calls to
// achieve the same results:
return (0, tfjs_1.tidy)(function () {
var result = (0, tfjs_1.matMul)(a, b, transposeA, transposeB);
if (bias != null) {
result = (0, tfjs_1.add)(result, bias);
}
result = backend.applyActivation(result, activation, preluActivationWeights, leakyreluAlpha);
return result;
});
}
};