[WIP] Move cpu tensors over to numpy #1077
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Ch0ronomato
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ricardoV94
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Nov 11, 2024
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| from torch import is_tensor | ||
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| if is_tensor(out) and out.device.type == "cpu": | ||
| return out.detach().numpy() | ||
| else: | ||
| return out |
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We should add an option to the PyTorch linker: coerce_to_numpy that defaults to True, and will apply to either CPU or GPU tensors? When False we don't force any conversion.
This mixed behavior is just unpredictable no?
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@ricardoV94 did this basically. Gonna close it. |
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Description
When doing an integration pass with pymc, there were type issues on the pymc side when given a torch tensor. To mitigate this, I migrated the linker to always return a numpy ndarray instead, and in the else case leave the tensor alone instead of forcing a device transfer.
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📚 Documentation preview 📚: https://pytensor--1077.org.readthedocs.build/en/1077/