/// <amd-module name="@tensorflow/tfjs-core/dist/ops/batchnorm3d" />
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/**
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* @license
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* Copyright 2020 Google LLC. All Rights Reserved.
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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* =============================================================================
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*/
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import { Tensor1D, Tensor3D } from '../tensor';
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import { TensorLike } from '../types';
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/**
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* Batch normalization, strictly for 3D. For the more relaxed version, see
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* `tf.batchNorm`.
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*
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* @param x The input Tensor.
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* @param mean A mean Tensor.
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* @param variance A variance Tensor.
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* @param offset An offset Tensor.
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* @param scale A scale Tensor.
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* @param varianceEpsilon A small float number to avoid dividing by 0.
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*/
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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;
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export declare const batchNorm3d: typeof batchNorm3d_;
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export {};
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