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However, after optimization, B parameter of Add operation is now all zeros, which means bias is now zero. This gives different outputs (and different accuracy) when run with onnxruntime. I do not think this is expected.
Thanks in advance.
The text was updated successfully, but these errors were encountered:
I have tried to optimize a LeNet from https://github.com/ONNC/onnc-tutorial/blob/master/models/lenet/lenet.onnx
There are Reshape operations that go into each Add operation after Conv op, representing bias addition, and they sure do have values.
However, after optimization, B parameter of Add operation is now all zeros, which means bias is now zero. This gives different outputs (and different accuracy) when run with onnxruntime. I do not think this is expected.
Thanks in advance.
The text was updated successfully, but these errors were encountered: