LazyConv3d
class torch.nn.LazyConv3d(out_channels, kernel_size, stride=1, padding=0, dilation=1, groups=1, bias=True, padding_mode='zeros', device=None, dtype=None)
A "torch.nn.Conv3d" module with lazy initialization of the
   "in_channels" argument of the "Conv3d" that is inferred from the
   "input.size(1)". The attributes that will be lazily initialized are
   weight and bias.
Check the "torch.nn.modules.lazy.LazyModuleMixin" for further
   documentation on lazy modules and their limitations.
Parameters:
      * out_channels (int) -- Number of channels produced by the
        convolution
  * **kernel_size** (*int** or **tuple*) -- Size of the convolving
    kernel

  * **stride** (*int** or **tuple**, **optional*) -- Stride of the
    convolution. Default: 1

  * **padding** (*int** or **tuple**, **optional*) -- Zero-padding
    added to both sides of the input. Default: 0

  * **padding_mode** (*str**, **optional*) -- "'zeros'",
