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@tensorflow/tfjs-core

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Hardware-accelerated JavaScript library for machine intelligence

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/** * @license * Copyright 2020 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 { Tensor1D, Tensor2D } from '../tensor'; import { TensorLike } from '../types'; /** * Batch normalization, strictly for 2D. For the more relaxed version, see * `tf.batchNorm`. * * @param x The input Tensor. * @param mean A mean Tensor. * @param variance A variance Tensor. * @param offset An offset Tensor. * @param scale A scale Tensor. * @param varianceEpsilon A small float number to avoid dividing by 0. */ declare function batchNorm2d_(x: Tensor2D | TensorLike, mean: Tensor2D | Tensor1D | TensorLike, variance: Tensor2D | Tensor1D | TensorLike, offset?: Tensor2D | Tensor1D | TensorLike, scale?: Tensor2D | Tensor1D | TensorLike, varianceEpsilon?: number): Tensor2D; /** * @deprecated Please use `tf.batchNorm2d` instead and note the positional * argument change of scale, offset, and varianceEpsilon. */ declare function batchNormalization2d_(x: Tensor2D | TensorLike, mean: Tensor2D | Tensor1D | TensorLike, variance: Tensor2D | Tensor1D | TensorLike, varianceEpsilon?: number, scale?: Tensor2D | Tensor1D | TensorLike, offset?: Tensor2D | Tensor1D | TensorLike): Tensor2D; export declare const batchNormalization2d: typeof batchNormalization2d_; export declare const batchNorm2d: typeof batchNorm2d_; export {};