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'Unsqueeze' is not handled any converter handlers #893

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paulbota opened this issue Oct 23, 2018 · 1 comment · Fixed by #900

paulbota commented Oct 23, 2018 •

edited

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I try to run the code from the tutorial:

import torch, torchvision
from webdnn.frontend.pytorch import PyTorchConverter

model = torchvision.models.alexnet(pretrained=True)
dummy_input = torch.autograd.Variable(torch.randn(1, 3, 224, 224))
graph = PyTorchConverter().convert(model, dummy_input)

and I get the error: NotImplementedError: Operator 'Unsqueeze' is not handled any converter handlers.

Versions:
Python: 3.6.6
torch: 0.4.1
torchvision: 0.2.1
webdnn: 1.2.6
onnx: 1.3.0

The text was updated successfully, but these errors were encountered:

Member

milhidaka commented Oct 25, 2018

I supported latest pytorch's alexnet model.
Please try latest master branch.
Image preproceessing is different from other frameworks, please see
https://github.com/mil-tokyo/webdnn/blob/master/example/resnet/script.js#L65

milhidaka mentioned this issue

Onnx batchnorm #900

Merged

milhidaka closed this as completed in #900

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