torch.nn.functional.conv3d
torch.nn.functional.conv3d(input, weight, bias=None, stride=1, padding=0, dilation=1, groups=1) -> Tensor
Applies a 3D convolution over an input image composed of several
   input planes.
This operator supports TensorFloat32.
See "Conv3d" for details and output shape.
Note:
 In some circumstances when given tensors on a CUDA device and
 using CuDNN, this operator may select a nondeterministic
 algorithm to increase performance. If this is undesirable, you
 can try to make the operation deterministic (potentially at a
 performance cost) by setting "torch.backends.cudnn.deterministic
 = True". See Reproducibility for more information.

Note:
 This operator supports complex data types i.e. "complex32,
 complex64, complex128".

Parameters:
      * input -- input tensor of shape (\text{minibatch} ,
        \text{in_channels} , iT , iH , iW)