/**

* @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 {Tensor} from '../tensor';

import {convertToTensor} from '../tensor_util_env';

import {TensorLike} from '../types';

import {parseAxisParam} from '../util';

import {expandShapeToKeepDim} from './axis_util';

import {cast} from './cast';

import {mean} from './mean';

import {op} from './operation';

import {reshape} from './reshape';

import {square} from './square';

import {sub} from './sub';

/**

* Calculates the mean and variance of `x`. The mean and variance are

* calculated by aggregating the contents of `x` across `axes`. If `x` is

* 1-D and `axes = [0]` this is just the mean and variance of a vector.

*

* @param x The input tensor.

* @param axis The dimension(s) along with to compute mean and

* variance. By default it reduces all dimensions.

* @param keepDims If true, the moments have the same dimensionality as the

* input.

* @return An object with two keys: `mean` and `variance`.

*

* @doc {heading: 'Operations', subheading: 'Normalization'}

*/

function moments_(

}

export const moments = /* @__PURE__ */ op({moments_});