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2 changes: 1 addition & 1 deletion 3rdparty/HalideIR
7 changes: 6 additions & 1 deletion python/tvm/relay/frontend/onnx.py
Original file line number Diff line number Diff line change
Expand Up @@ -447,8 +447,13 @@ class Upsample(OnnxOpConverter):
"""

@classmethod
def _impl_v7(cls, inputs, attr, params):
def _impl_v9(cls, inputs, attr, params):
scales = attr.get('scales')
if not scales:
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inputs[1] may be mostly available in params.

Can you attempt taking it from params and proceeding to make it compatible for opset-8 ?

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But how to get the scale value from input[1], and how to create the new input? Is following code snippet resonable? Thanks.

    def _impl_v7(cls, inputs, attr, params):
        scales = attr.get('scales')
        if not scales:
            #Here we are going to higher OPSET version.
            assert len(inputs) == 2, "Upsample op take 2 inputs, {} given".format(len(inputs))
            scales = params[inputs[1].name_hint].asnumpy()
            inputs = inputs[:1]

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@gemfield yes, above code look good. Add it and let the CI pass for it.
Also please try adding a test case too for it.

#Here we are going to higher OPSET version.
assert len(inputs) == 2, "Upsample op take 2 inputs, {} given".format(len(inputs))
scales = params[inputs[1].name_hint].asnumpy()
inputs = inputs[:1]
assert len(scales) == 4 and scales[0] == 1.0 and scales[1] == 1.0 and scales[2] == scales[3]
mode = attr.get('mode')
if mode == b'nearest':
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