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24 lines
854 B
24 lines
854 B
3 years ago
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import torch
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try:
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from torch.overrides import has_torch_function, handle_torch_function
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except ImportError:
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from torch._overrides import has_torch_function, handle_torch_function
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def _assert(condition, message):
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r"""A wrapper around Python's assert which is symbolically traceable.
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This is based on _assert method in torch.__init__.py but brought here to avoid reliance
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on internal torch fn and allow compatibility with PyTorch < 1.8.
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"""
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if type(condition) is not torch.Tensor and has_torch_function((condition,)):
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return handle_torch_function(_assert, (condition,), condition, message)
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assert condition, message
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def _float_to_int(x: float) -> int:
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"""
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Symbolic tracing helper to substitute for inbuilt `int`.
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Hint: Inbuilt `int` can't accept an argument of type `Proxy`
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"""
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return int(x)
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