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@tensorflow/tfjs-core

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Hardware-accelerated JavaScript library for machine intelligence

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/// <amd-module name="@tensorflow/tfjs-core/dist/ops/batchnorm3d" /> /** * @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 { Tensor1D, Tensor3D } from '../tensor'; import { TensorLike } from '../types'; /** * Batch normalization, strictly for 3D. 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 batchNorm3d_(x: Tensor3D | TensorLike, mean: Tensor3D | Tensor1D | TensorLike, variance: Tensor3D | Tensor1D | TensorLike, offset?: Tensor3D | Tensor1D | TensorLike, scale?: Tensor3D | Tensor1D | TensorLike, varianceEpsilon?: number): Tensor3D; export declare const batchNorm3d: typeof batchNorm3d_; export {};