/**

* @license

* Copyright 2018 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 {Softmax, SoftmaxAttrs, SoftmaxInputs} 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 {op} from './operation';

/**

* Computes the softmax normalized vector given the logits.

*

* ```js

* const a = tf.tensor1d([1, 2, 3]);

*

* a.softmax().print(); // or tf.softmax(a)

* ```

*

* ```js

* const a = tf.tensor2d([2, 4, 6, 1, 2, 3], [2, 3]);

*

* a.softmax().print(); // or tf.softmax(a)

* ```

*

* @param logits The logits array.

* @param dim The dimension softmax would be performed on. Defaults to `-1`

* which indicates the last dimension.

*

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

*/

function softmax_<T extends Tensor>(logits: T|TensorLike, dim = -1): T {

}

export const softmax = /* @__PURE__ */ op({softmax_});