Msabih commented on issue #4262: [RELAY][Bug] 'name_hint' AttributeError issue when covert tensorflow to TVM URL: https://github.com/apache/incubator-tvm/issues/4262#issuecomment-597665090 If you check the class method _impl_v9 of class Upsample, this is line 778 on tvm 0.7 assert len(inputs) == 2, "Upsample op take 2 inputs, {} given".format(len(inputs)) scales = params[inputs[1].name_hint].asnumpy() The error comes at this line scales = params[inputs[1].name_hint].asnumpy() I found out that there was incompatibility between how pytorch exported upsample operator in onnx and how tvm imported. The fault might be on pytorch's side or tvm's side, I am not sure. But I got the hack to get my network working because all of its upsample were by a factor of 2. So I manually supplied the scales value as follows # comment the error giving line # scales = params[inputs[1].name_hint].asnumpy() # manually supply the scales value scales = np.array([1.0, 1.0, 2.0, 2.0]) Could the people having problem with tensorflow verify if manually supplying the scales value gets rid of the error ?
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