torch.nn.functional.avg_pool3d
torch.nn.functional.avg_pool3d(input, kernel_size, stride=None, padding=0, ceil_mode=False, count_include_pad=True, divisor_override=None) -> Tensor
Applies 3D average-pooling operation in kT \times kH \times kW
   regions by step size sT \times sH \times sW steps. The number of
   output features is equal to \lfloor\frac{\text{input
   planes}}{sT}\rfloor.
See "AvgPool3d" for details and output shape.
Parameters:
      * input -- input tensor (\text{minibatch} ,
        \text{in_channels} , iT \times 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
