@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 {ArgMin, ArgMinAttrs, ArgMinInputs, KernelConfig, scalar, Tensor} from '@tensorflow/tfjs';
import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
export const argMinConfig: KernelConfig = {
kernelName: ArgMin,
backendName: 'tensorflow',
kernelFunc: (args) => {
const {x} = args.inputs as ArgMinInputs;
const backend = args.backend as NodeJSKernelBackend;
const {axis} = args.attrs as unknown as ArgMinAttrs;
const toDispose: Tensor[] = [];
let xInput = x;
if (x.dtype === 'bool') {
xInput = (x as Tensor).toInt();
toDispose.push(xInput as Tensor);
}
const axisScalar = scalar(axis, 'int32');
toDispose.push(axisScalar);
const opAttrs = [
createTensorsTypeOpAttr('T', xInput.dtype),
createTensorsTypeOpAttr('Tidx', 'int32'),
createTensorsTypeOpAttr('output_type', 'int32')
];
const res =
backend.executeSingleOutput(ArgMin, opAttrs, [xInput, axisScalar]);
toDispose.forEach(t => t.dispose());
return res;
}
};