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Account for differences between type() and .type #107

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Account for differences between type() and .type #107

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16 changes: 6 additions & 10 deletions adept/utils/util.py
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Original file line number Diff line number Diff line change
Expand Up @@ -81,7 +81,7 @@ def json_to_dict(file_path):

_numpy_to_torch_dtype = {
np.float16: torch.float16,
np.float32:torch.float32,
np.float32: torch.float32,
np.float64: torch.float64,
np.uint8: torch.uint8,
np.int8: torch.int8,
Expand All @@ -96,21 +96,17 @@ def numpy_to_torch_dtype(dtype):
if inspect.isclass(dtype):
name = dtype
else:
name = type(dtype)
name = dtype.type
if name not in _numpy_to_torch_dtype:
raise ValueError(
f"Could not convert numpy dtype {dtype.name} to a torch dtype."
)
name = type(dtype)
if name not in _numpy_to_torch_dtype:
raise ValueError(f"Could not convert numpy dtype {dtype.name} to a torch dtype.")
return _numpy_to_torch_dtype[name]


def torch_to_numpy_dtype(dtype):
if dtype not in _torch_to_numpy_dtype:
raise ValueError(
"Could not convert torch dtype {} to a numpy dtype.".format(
dtype
)
)
raise ValueError("Could not convert torch dtype {} to a numpy dtype.".format(dtype))

return _torch_to_numpy_dtype[dtype]

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