Comments (1)
Hi,
I get the following error when I try and run your example pytorch notebooks:
~/code/development_tools/anaconda3/envs/fastai/lib/python3.7/site-packages/torch/onnx/symbolic.py in adaptive_avg_pool2d(g, input, output_size) 598 @parse_args('v', 'is') 599 def adaptive_avg_pool2d(g, input, output_size): --> 600 assert output_size == [1, 1], "Only output_size=[1, 1] is supported" 601 return g.op("GlobalAveragePool", input) 602 AssertionError: Only output_size=[1, 1] is supported
I haven't modified anything, and I wonder if you have any idea what the source of this error is?
Regards,
Alex
For me, downgrading torchvision from 0.2.2 to 0.2.1 worked.
So basically, torchvision 0.2.2 has an AdaptiveAvgPool2d instead of AvgPool2d in AlexNet.
It was mentioned in PyTorch discussions page: https://discuss.pytorch.org/t/when-using-torch-onnx-export-errors-occurs-assertionerror-only-output-size-1-1-is-supported/38528/3
from hiddenlayer.
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