Applies a 3D max pooling over an input signal composed of several input planes.

## Usage

```
nnf_max_pool3d(
input,
kernel_size,
stride = NULL,
padding = 0,
dilation = 1,
ceil_mode = FALSE,
return_indices = FALSE
)
```

## Arguments

- input
input tensor (minibatch, in_channels , iT * iH , iW)

- kernel_size
size of the pooling region. Can be a single number or a tuple

`(kT, kH, kW)`

- stride
stride of the pooling operation. Can be a single number or a tuple

`(sT, sH, sW)`

. Default:`kernel_size`

- padding
implicit zero paddings on both sides of the input. Can be a single number or a tuple

`(padT, padH, padW)`

, Default: 0- dilation
controls the spacing between the kernel points; also known as the à trous algorithm.

- ceil_mode
when True, will use

`ceil`

instead of`floor`

in the formula to compute the output shape- return_indices
whether to return the indices where the max occurs.