@tensorflow/tfjs-node
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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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/**
* @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.
* =============================================================================
*/
import {BatchMatMul, BatchMatMulAttrs, BatchMatMulInputs, KernelConfig} from '@tensorflow/tfjs';
import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
export const batchMatMulConfig: KernelConfig = {
kernelName: BatchMatMul,
backendName: 'tensorflow',
kernelFunc: (args) => {
const {a, b} = args.inputs as BatchMatMulInputs;
const backend = args.backend as NodeJSKernelBackend;
const {transposeA, transposeB} = args.attrs as unknown as BatchMatMulAttrs;
const opAttrs = [
createTensorsTypeOpAttr('T', a.dtype),
{name: 'adj_x', type: backend.binding.TF_ATTR_BOOL, value: transposeA},
{name: 'adj_y', type: backend.binding.TF_ATTR_BOOL, value: transposeB}
];
// libtensorflow's BatchMatMulV2 op performs the same behavior as other tfjs
// backends' BatchMatMul (supports broadcasting), so a string literal is
// used here to point to libtensorflow's BatchMatMulV2 op, instead of using
// const `BatchMatMul` ('BatchMatMul') to resolve node-backend's special
// mapping.
return backend.executeSingleOutput('BatchMatMulV2', opAttrs, [a, b]);
}
};