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12cb26509a
This is a big bang PR, merge conflicts are probably expected and will be addressed at merge. Pull Request resolved: https://github.com/pytorch/pytorch/pull/81643 Approved by: https://github.com/ezyang
22 lines
815 B
Python
22 lines
815 B
Python
"""
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This global flag controls whether to assign new tensors to the parameters
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instead of changing the existing parameters in-place when converting an `nn.Module`
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using the following methods:
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1. `module.cuda()` / `.cpu()` (for moving `module` between devices)
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2. `module.float()` / `.double()` / `.half()` (for converting `module` to a different dtype)
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3. `module.to()` / `.type()` (for changing `module`'s device or dtype)
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4. `module._apply(fn)` (for generic functions applied to `module`)
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Default: False
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"""
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_overwrite_module_params_on_conversion = False
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def set_overwrite_module_params_on_conversion(value):
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global _overwrite_module_params_on_conversion
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_overwrite_module_params_on_conversion = value
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def get_overwrite_module_params_on_conversion():
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return _overwrite_module_params_on_conversion
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