Closed samanemami closed 1 year ago
Although the feature is stored in a 1D tensor, the Conv layer is actually 3D. ocnn
is a 3D sparse convolution framework.
Thank you But could you please explain it in the code?
I can not understand how would it be a 3D layer as the input has not had four dimensions!
For instance, in this line what is the definition of the convolutional layer? I do not know the dim!
I am not sure about the 3D layer; all the layers I am looking at them are 1d same as the following;
self.bn = torch.nn.BatchNorm1d(out_channels, bn_eps, bn_momentum)
As I am seeing, this library only uses the 1D Conv layer in the module. Is there any other implementation with higher dimensions for the layers?