avg_pool3d
class torch.ao.nn.quantized.functional.avg_pool3d(input, kernel_size, stride=None, padding=0, ceil_mode=False, count_include_pad=True, divisor_override=None)
Applies 3D average-pooling operation in kD \ times kH \times kW
   regions by step size sD \times sH \times sW steps. The number of
   output features is equal to the number of input planes.
Note:
 The input quantization parameters propagate to the output.

Parameters:
      * input -- quantized input tensor (\text{minibatch} ,
        \text{in_channels} , iH , iW)
  * **kernel_size** -- size of the pooling region. Can be a single
    number or a tuple *(kD, kH, kW)*

  * **stride** -- stride of the pooling operation. Can be a single
    number or a tuple *(sD, sH, sW)*. Default: "kernel_size"

  * **padding** -- implicit zero paddings on both sides of the
    input. Can be a single number or a tuple *(padD, padH, padW)*.
    Default: 0
