tensorplay.nn.functional.avg_pool3d

tensorplay.nn.functional.avg_pool3d(input: TensorBase, kernel_size, stride=None, padding=0, ceil_mode: bool = False, count_include_pad: bool = True, divisor_override=None) → TensorBase[source]

avg_pool3d(input, kernel_size, stride=None, padding=0, ceil_mode=False, count_include_pad=True, divisor_override=None) -> Tensor

Applies a 3D average pooling over an input signal composed of several input planes. Input shape (N, C, D, H, W) or unbatched (C, D, H, W).