adaptive_avg_pool3d
class torch.ao.nn.quantized.functional.adaptive_avg_pool3d(input, output_size)
Applies a 3D adaptive average pooling over a quantized input signal
   composed of several quantized input planes.
Note:
 The input quantization parameters propagate to the output.

See "AdaptiveAvgPool3d" for details and output shape.
Parameters:
      output_size (None) -- the target output size (single
      integer or double-integer tuple)
Return type:
      Tensor