@tensorflow/tfjs-core/src/ops/dropout_util.ts

Hardware-accelerated JavaScript library for machine intelligence

/**
 * @license
 * Copyright 2019 Google Inc. 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 {Tensor} from '../tensor';
import * as util from '../util';

/**
 * Normalize noise shape based on provided tensor and noise shape.
 *
 * @param x Tensor.
 * @param noiseShape The shape for the randomly generated keep/drop flags, as
 *   an array of numbers. Optional.
 * @returns Normalized noise shape.
 */
export function getNoiseShape(x: Tensor, noiseShape?: number[]): number[] {
  if (noiseShape == null) {
    return x.shape.slice();
  }
  if (util.arraysEqual(x.shape, noiseShape)) {
    return noiseShape;
  }
  if (x.shape.length === noiseShape.length) {
    const newDimension: number[] = [];
    for (let i = 0; i < x.shape.length; i++) {
      if (noiseShape[i] == null && x.shape[i] != null) {
        newDimension.push(x.shape[i]);
      } else {
        newDimension.push(noiseShape[i]);
      }
    }
    return newDimension;
  }

  return noiseShape;
}