/**

* @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 {ENGINE} from '../engine';

import {Unpack, UnpackAttrs, UnpackInputs} from '../kernel_names';

import {NamedAttrMap} from '../kernel_registry';

import {Tensor} from '../tensor';

import {NamedTensorMap} from '../tensor_types';

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

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

import * as util from '../util';

import {op} from './operation';

/**

* Unstacks a `tf.Tensor` of rank-`R` into a list of rank-`(R-1)` `tf.Tensor`s.

*

* ```js

* const a = tf.tensor2d([1, 2, 3, 4], [2, 2]);

*

* tf.unstack(a).forEach(tensor => tensor.print());

* ```

*

* @param x A tensor object.

* @param axis The axis to unstack along. Defaults to 0 (the first dim).

*

* @doc {heading: 'Tensors', subheading: 'Slicing and Joining'}

*/

function unstack_(x: Tensor|TensorLike, axis = 0): Tensor[] {

}

export const unstack = /* @__PURE__ */ op({unstack_});