Comments (2)
Hi @drewm1980 ,
I see your point here.
I usually define another export method in the class defining the full model, where then I loop over self.named_modules() to find all equivariant modules to export.
Having an EquivariantModuleList would mostly automate this.
I think it is a nice idea, thanks for suggesting it!
I will add it later today or tomorrow.
Thanks again!
Gabriele
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I implemented it as a subclass of torch.nn.ModuleList to reuse its functionalities.
The only difference with it is that it should only accept EquivariantModules.
Let me know if this works well for you.
P.S.: I have not pushed the new code on pypi yet, so you should intall it using pip install git+https://github.com/QUVA-Lab/e2cnn
Best,
Gabriele
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Related Issues (20)
- wrapping pytorch operations - grid_sample HOT 4
- Import Error with Torch 1.9.0+cu111 HOT 2
- equivariant Transformer HOT 5
- ZeroPad2D on GeometricTensor
- Cannot pass weights of R2Conv as a positional argument HOT 2
- Counting FLOPs for e2cnn HOT 1
- equivariance in C8 space HOT 1
- Module export HOT 3
- About the equivalence of wide_resnet HOT 5
- Need a size parameter for e2cnn.R2Upsampling Class HOT 1
- about attribute R2conv.filter HOT 2
- Learning of kernels HOT 2
- O(2) group, irreps, and PyTorch DDP. HOT 2
- checking equivariance for the angles that are not 90n HOT 2
- about to set special rotation equivariant HOT 2
- Cannot import name container_abcs in python 3.6 version (e2cnn_py36)
- shriking size of output image
- Use of np.float and np.int etc
- Difference between trivial output type and regular output type with group pooling HOT 1
- Export Linear HOT 2
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