/**

* @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 {Unique, UniqueAttrs, UniqueInputs} from '../kernel_names';

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

import {Tensor, Tensor1D} from '../tensor';

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

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

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

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

import {op} from './operation';

/**

* Finds unique elements along an axis of a tensor.

*

* It returns a tensor `values` containing all of the unique elements along the

* `axis` of the given tensor `x` in the same order that they occur along the

* `axis` in `x`; `x` does not need to be sorted. It also returns a tensor

* `indices` the same size as the number of the elements in `x` along the `axis`

* dimension. It contains the index in the unique output `values`.

*

* ```js

* // A 1-D tensor

* const a = tf.tensor1d([1, 1, 2, 4, 4, 4, 7, 8, 8]);

* const {values, indices} = tf.unique(a);

* values.print(); // [1, 2, 4, 7, 8,]

* indices.print(); // [0, 0, 1, 2, 2, 2, 3, 4, 4]

* ```

*

* ```js

* // A 2-D tensor with axis=0

* //

* // 'a' is: [[1, 0, 0],

* // [1, 0, 0],

* // [2, 0, 0]]

* const a = tf.tensor2d([[1, 0, 0], [1, 0, 0], [2, 0, 0]]);

* const {values, indices} = tf.unique(a, 0)

* values.print(); // [[1, 0, 0],

* // [2, 0, 0]]

* indices.print(); // [0, 0, 1]

* ```

*

* ```js

* // A 2-D tensor with axis=1

* //

* // 'a' is: [[1, 0, 0],

* // [1, 0, 0],

* // [2, 0, 0]]

* const a = tf.tensor2d([[1, 0, 0], [1, 0, 0], [2, 0, 0]]);

* const {values, indices} = tf.unique(a, 1)

* values.print(); // [[1, 0],

* // [1, 0],

* // [2, 0]]

* indices.print(); // [0, 1, 1]

* ```

* @param x A tensor (int32, string, bool).

* @param axis The axis of the tensor to find the unique elements.

* @returns [uniqueElements, indices] (see above for details)

*

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

*/

function unique_<T extends Tensor>(

}

export const unique = /* @__PURE__ */ op({unique_});