@tensorflow/tfjs-node/src/kernels/ClipByValue.ts

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/).

/**
 * @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 {ClipByValue, ClipByValueAttrs, ClipByValueInputs, KernelConfig, maximum, minimum, scalar, Tensor, tidy} from '@tensorflow/tfjs';

export const clipByValueConfig: KernelConfig = {
  kernelName: ClipByValue,
  backendName: 'tensorflow',
  kernelFunc: (args) => {
    const {x} = args.inputs as ClipByValueInputs;
    const {clipValueMin, clipValueMax} =
        args.attrs as unknown as ClipByValueAttrs;

    return tidy(() => {
      const xMin = minimum(x as Tensor, scalar(clipValueMax, x.dtype));
      return maximum(xMin, scalar(clipValueMin, x.dtype));
    });
  }
};