@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 {KernelConfig, OneHot, OneHotAttrs, OneHotInputs, scalar} from '@tensorflow/tfjs';
import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend';
export const oneHotConfig: KernelConfig = {
kernelName: OneHot,
backendName: 'tensorflow',
kernelFunc: (args) => {
const {indices} = args.inputs as OneHotInputs;
const backend = args.backend as NodeJSKernelBackend;
const {dtype, depth, onValue, offValue} =
args.attrs as unknown as OneHotAttrs;
const depthTensor = scalar(depth, 'int32');
const onValueTensor = scalar(onValue, dtype);
const offValueTensor = scalar(offValue, dtype);
const opAttrs = [
{name: 'axis', type: backend.binding.TF_ATTR_INT, value: -1},
createTensorsTypeOpAttr('T', dtype),
createTensorsTypeOpAttr('TI', indices.dtype)
];
const res = backend.executeSingleOutput(
OneHot, opAttrs, [indices, depthTensor, onValueTensor, offValueTensor]);
depthTensor.dispose();
onValueTensor.dispose();
offValueTensor.dispose();
return res;
}
};