siju-samuel commented on a change in pull request #5834:
URL: https://github.com/apache/incubator-tvm/pull/5834#discussion_r442033597
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File path: python/tvm/relay/frontend/pytorch.py
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@@ -1755,12 +1809,21 @@ def _convert_data_type(input_type):
return "int8"
Review comment:
Add "int64" here
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File path: python/tvm/relay/frontend/pytorch.py
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@@ -1733,12 +1780,19 @@ def _convert_dtype_value(val):
0:"torch.unit8",
None:"torch.int64"} # Default is torch.int64
if val in convert_torch_dtype_map:
- return convert_torch_dtype_map[val]
+ return _convert_data_type(convert_torch_dtype_map[val])
else:
msg = "Torch data type value %d is not handled yet." % (val)
raise NotImplementedError(msg)
-def _convert_data_type(input_type):
+def _convert_data_type(input_type, default_dtype=None):
+ """converts the PyTorch scalar type input_type to a TVM dtype.
+ optionally, default_dtype can be a TVM dtype that is used
+ if input_type is None (but not when it is unknown)"""
+ if input_type is None and default_dtype is not None:
+ return default_dtype
+
+ input_type = input_type.lower()
if input_type in ["double", "torch.float64"]:
return "float64"
elif input_type in ["float", "torch.float32"]:
Review comment:
You can ignore this. this is not an issue
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