AndrewZhaoLuo commented on code in PR #11606:
URL: https://github.com/apache/tvm/pull/11606#discussion_r891700768
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python/tvm/relay/frontend/onnx.py:
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@@ -2270,6 +2270,27 @@ def _impl_v12(cls, inputs, attr, params):
return cls._impl_v1(inputs, attr, params)
+ @classmethod
+ def _impl_v13(cls, inputs, attr, params):
+ data = inputs[0]
+ axes = inputs[1]
+
+ if not infer_shape(data): # promote scalar to 1-D tensor
+ data = _op.expand_dims(data, axis=0)
+
+ noop_with_empty_axes = attr.get("noop_with_empty_axes", 0)
+ num_axis = int(infer_type(axes).checked_type.shape[0]) if axes is not
None else 0
+
+ if noop_with_empty_axes and num_axis == 0:
+ return inputs[0]
+
+ if num_axis > 0:
Review Comment:
Like the above, impl12 you probably want to check if we can resolve the axis
as constants. If they are constants we want to be able to run them. You appear
to have some failing tests from this.
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