# tensorplay.nn.functional.fractional_max_pool2d_with_indices

Source: https://www.tensorplay.cn/docs/generated/tensorplay.nn.functional.fractional_max_pool2d_with_indices.html

```python
tensorplay.nn.functional.fractional_max_pool2d_with_indices(input: Tensor, kernel_size, output_size=None, output_ratio=None, return_indices: bool = True, _random_samples=None)
```

Applies 2D fractional max pooling over an input signal composed of
several input planes, returning (output, indices).

The max-pooling operation is applied in $kH \times kW$ regions by a
stochastic step size determined by the target output size.
The number of output features is equal to the number of input planes.

Parameters:

- kernel_size – the size of the window, k or (kH, kW)

- output_size – target output size oH x oW

- output_ratio – alternative to output_size, in range (0, 1)

- return_indices – return pooling indices as well

- _random_samples – optional (B, C, 2) random starts override

See FractionalMaxPool2d for details.