@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
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text/typescript
/**
* @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 {batchNorm} from '../../ops/batchnorm';
import {Tensor, Tensor1D} from '../../tensor';
import {Rank, TensorLike} from '../../types';
declare module '../../tensor' {
interface Tensor<R extends Rank = Rank> {
batchNorm<T extends Tensor>(
mean: Tensor<R> | Tensor1D | TensorLike,
variance: Tensor<R> | Tensor1D | TensorLike,
offset?: Tensor<R> | Tensor1D | TensorLike,
scale?: Tensor<R> | Tensor1D | TensorLike,
varianceEpsilon?: number
): Tensor<R>;
}
}
Tensor.prototype.batchNorm = function <R extends Rank>(
this: Tensor<R> | TensorLike, mean: Tensor<R> | Tensor1D | TensorLike,
variance: Tensor<R> | Tensor1D | TensorLike,
offset?: Tensor<R> | Tensor1D | TensorLike,
scale?: Tensor<R> | Tensor1D | TensorLike,
varianceEpsilon?: number): Tensor<R> {
return batchNorm(this, mean, variance, offset, scale, varianceEpsilon);
};