[Refine] Fix several bugs on custom device #1239
Merged
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
PR types
Bug fixes
PR changes
Others
Describe
This pull request updates documentation and code to improve clarity, device handling, and compatibility across several examples and model architectures. The most significant changes include correcting device usage in code (removing unnecessary
.cuda()and device assignments), refining training and evaluation command documentation for models, and ensuring proper data type handling in plotting routines.Documentation improvements:
nsfnet.mdandnsfnet4.md, ensuring that commands for training and evaluation are correctly labeled and use the appropriate arguments. [1] [2] [3] [4]cgcnn.md,phygeonet.md, andvelocity_gan.mdto improve usability and completeness. [1] [2] [3]unetformer.mdfor clarity, changing the code block type tosh.Device handling and compatibility:
.cuda()calls inphycrnet/functions.pyandphycrnet.py, making code device-agnostic and compatible with both CPU and GPU execution. [1] [2] [3] [4] [5]tgcn/run.py, and removed device transfer inunetformer/vaihingen_test.py, simplifying code and reducing potential device mismatches. [1] [2] [3].to(self.device)calls in thestafnet.pymodel, further improving device compatibility. [1] [2] [3]Data type and plotting fixes:
VP_NSFNet4.py, preventing type errors and improving compatibility. [1] [2] [3] [4]Miscellaneous:
passstatement to theModuleNotFoundErrorexception inchemprop_molecule_utils.pyto avoid runtime errors.