Comments (1)
Hello,
In case this is of any interest for other users updating pytorch to v. 1.9.0 (most recent version) has resolved this issue.
Thanks!
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Related Issues (20)
- scFEA output HOT 7
- Error in performing analysis in Seurat integrated data HOT 4
- - HOT 1
- ValueError: operands could not be broadcast together with shapes HOT 2
- How to get the over-all flux score in a "Supermodule"
- Create STOICHIOMETRY_MATRIX
- res_dir bug and solution
- Balance values interpretation HOT 6
- Problem about scFEA_tutorial2.ipynb
- How to biologically interpret negative flux values? HOT 1
- questions about Pandas? HOT 4
- RuntimeError: value cannot be converted to type uint8_t without overflow: 3416
- AttributeError: 'DataFrame' object has no attribute 'append'. Did you mean: '_append'? HOT 2
- Input single cell data type of scFEA analysis
- The practical result differs from the tutorial HOT 1
- PermissionError: [Errno 13] Permission denied: './output/lossValue_20240507-124250.txt'
- normalisation above 30 or 50? and can I use pearson residuals
- RRuntimeError
- Starting train neural network... 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 100/100 [01:19<00:00, 1.25it/s] Training time: 79.83818292617798 Traceback (most recent call last): File "src/scFEA.py", line 370, in <module> main(args) File "src/scFEA.py", line 299, in main fluxStatuTest[i, :] = out_m_batch.detach().numpy() TypeError: can't convert cuda:0 device type tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory first.
- Lipid metabolism moduleGene_file missing
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