Comments (4)
mattersoflight
commented on June 16, 2024
torch is a generic replacement for numpy on CPU, GPU, or integrated chips like M1.
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talonchandler
commented on June 16, 2024
@ieivanov what's the motivation here? Have you run into issues using/installing torch?
So far I haven't had any trouble with pip install torch on machines with or without gpus.
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ieivanov
commented on June 16, 2024
No issues, just asking for now. I'll try installing torch on mantis and I'll let you know if I run into any problems.
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ieivanov
commented on June 16, 2024
No issues installing torch on mantis
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Related Issues (20)
- Slow birefringence reconstruction for z-stacks HOT 6
- README figure is low-res and transparent HOT 2
- `opencv-python` is taking >30 minutes to build on M1 HOT 5
- Removing I/O module HOT 5
- Migrate fluorescence reconstructions to `torch` and `model`-based structure HOT 4
- Focus-finding features
- waveorder changes matplotlib backend at import HOT 2
- torch meshgrid warning
- Torch warning about copying tensors HOT 1
- Divide by zero during phase normalization
- Move PTI reconstructions to `torch` and `models`
- Remove `waveorder_reconstructor` and `waveorder_simulator` files HOT 1
- Support GPUs via `torch` HOT 1
- Unused `pycromanager>=0.13.2` requirement
- Phase transfer function is numerically small HOT 3
- [Bug] Overlapping rings in phase transfer function HOT 3
- `WaveorderReader` uses `glob` to read a folder of ome-tiffs HOT 6
- `napari.Viewer()` fails after `import waveorder` in OnDemand session HOT 1
- Bump Python version
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