Comments (3)
thijsgelton
commented on July 17, 2024
Hi @charlesmartin14,
I am working with 3D operations operations and tried your library. I used the onnx example as well as the PyTorch example on the mainpage, but both of them didn't provide any summary or details output. It gave the following message: "WARNING:weightwatcher:No layers found". After inspecting the source code I found that they layers are not known to the library. Is there any status on whether these would be integrated any time soon?
torchvision provides the S3D model with pretrained weights if you need any implementations.
PS: thank you for all your work. I can't wait to see the results on my models.
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charlesmartin14
commented on July 17, 2024
Yeah we don't support 3D layers
I guess it' doable but I don't have any experience with these models
Before we add such a feature Id like to learn more about them
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petteriTeikari
commented on July 17, 2024
Likewise, would be interested in having support for Conv3D operator as working with medical data here :) And thanks for the great work so far!
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Related Issues (20)
- Add discussion on Noisy data
- bad issue HOT 1
- Appendix 6: Rederive Tanaka from scratch
- bad issue
- Rename SVDSmoothing to TruncatedSVD model everywhere
- Need to say something about the MLP3 model in the matgen section HOT 2
- Selective plotting HOT 1
- bug calling TPL
- update the docs on rescale_eigenvalues
- change detX constraint to use rescale_eigenvalues
- Any plans to support pytorch2.x? HOT 2
- Add ability to read layer_map for pytorch model bin files
- Bug in reading some models off the file system
- getWeights() can not pull all layer ids
- add torch.low_rank() option
- Can weightwatcher still be useful for model with RNN layers?
- add inverse option HOT 1
- WeightWatcher.ipynb 'numpy.ndarray' object has no attribute 'extend' HOT 1
- using alpha monitor the training process of the model HOT 5
- What does the layer_id refer to in the details df ?
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