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[Relay][Frontend[Onnx] Add testing for output datatypes and fix related bugs. #7364

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Jan 29, 2021
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[Relay][Frontend[Onnx] Add testing for output datatypes and fix related bugs. #7364

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b68e706
Add testing for datatypes and fix related bugs.
jwfromm Jan 28, 2021
2c7f48f
Fix lint issue in onnx.
jwfromm Jan 28, 2021
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6 changes: 3 additions & 3 deletions python/tvm/relay/frontend/onnx.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1451,7 +1451,7 @@ def _impl_v1(cls, inputs, attr, params):
axis = attr.get("axis", 0)
keepdims = attr.get("keepdims", True)
attr = {"axis": axis, "keepdims": keepdims}
return AttrCvt("argmax")(inputs, attr)
return _op.cast(AttrCvt("argmax")(inputs, attr), 'int64')


class ArgMin(OnnxOpConverter):
Expand All @@ -1462,7 +1462,7 @@ def _impl_v1(cls, inputs, attr, params):
axis = attr.get("axis", 0)
keepdims = attr.get("keepdims", True)
attr = {"axis": axis, "keepdims": keepdims}
return AttrCvt("argmin")(inputs, attr)
return _op.cast(AttrCvt("argmin")(inputs, attr), 'int64')


class Softmax(OnnxOpConverter):
Expand Down Expand Up @@ -2000,7 +2000,7 @@ def _impl_v1(cls, inputs, attr, params):
if largest == 0:
raise ValueError("TVM only supports finding TopK largest elements")

return _op.topk(inputs[0], inputs[1], axis=axis)
return _op.topk(inputs[0], inputs[1], axis=axis, dtype='int64')


class Range(OnnxOpConverter):
Expand Down
1 change: 1 addition & 0 deletions tests/python/frontend/onnx/test_forward.py
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Expand Up @@ -163,6 +163,7 @@ def verify_with_ort_with_inputs(
ort_val = scipy.special.softmax(ort_val)
tvm_val = scipy.special.softmax(tvm_val)
tvm.testing.assert_allclose(ort_val, tvm_val, rtol=rtol, atol=atol)
assert ort_val.dtype == tvm_val.dtype


def verify_with_ort(
Expand Down