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New model classes should start in physicsnemo/experimental/nn or physicsnemo/experimental/models during development, where backward compatibility is not guaranteed.
29 tagged nvidia gpu, measured the same way as everything else here.
Browse within: PyTorch 29deep-learning 29machine-learning 29nvidia-warp 29physics 29
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New model classes should start in physicsnemo/experimental/nn or physicsnemo/experimental/models during development, where backward compatibility is not guaranteed.
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All forward and public methods must validate tensor shapes at the beginning, wrapped in torch.compiler.iscompiling() guard, with standardized error messages.
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Use checkminversion() to check optional dependencies without importing, and @requireversion decorator to protect version-specific features; pyproject.toml is the single source of truth for dependencies.