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builtins.AssertionError: Unresolvable type None #1269

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flytair opened this issue Dec 5, 2020 · 6 comments · Fixed by #2661
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builtins.AssertionError: Unresolvable type None #1269

flytair opened this issue Dec 5, 2020 · 6 comments · Fixed by #2661
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@bjhargrave
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docathon-h2-2023 medium module: quantization

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@flytair
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flytair commented Dec 5, 2020 •
edited by pytorch-bot bot
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hi,
when i run static_quantization_tutorial.py, it assert error at:

tutorials/advanced_source/static_quantization_tutorial.py

Line 522 in ce58d59

torch.jit.save(torch.jit.script(per_channel_quantized_model), saved_model_dir + scripted_quantized_model_file)

the error message is:
assert base is not None, "Unresolvable type {}".format(expr[:i])
builtins.AssertionError: Unresolvable type None

cc @jerryzh168 @jianyuh @sekyondaMeta @svekars @carljparker @NicolasHug @kit1980 @subramen
@holly1238 holly1238 added the quantization Issues relating to quantization tutorials label Jul 27, 2021
@svekars svekars added medium docathon-h1-2023 A label for the docathon in H1 2023 labels May 31, 2023
@Samsonboadi
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/assigntome

This was referenced Jun 1, 2023
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@svekars
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svekars commented Jun 5, 2023

The .py file was replaced with the .rst file in the repo: https://github.com/pytorch/tutorials/blob/main/advanced_source/static_quantization_tutorial.rst. Please fix the issue in the .rst file rather than in the .py file. Please test locally that your solution works before submitting.

@svekars
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svekars commented Oct 24, 2023

This issue has been unassigned due to inactivity. If you are still planning to work on this, you can still send a PR referencing this issue.

@svekars svekars added docathon-h2-2023 and removed docathon-h1-2023 A label for the docathon in H1 2023 labels Oct 30, 2023
@bjhargrave
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/assigntome

@svekars
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svekars commented Nov 7, 2023

This issue has been unassigned due to inactivity. If you are working on this issue, assign it to yourself and send a PR ASAP.

@bjhargrave
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/assigntome

bjhargrave added a commit to bjhargrave/pytorch-tutorials that referenced this issue Nov 7, 2023
@bjhargrave
Fix static_quantization_tutorial error in qat_model
83a0238 
The model must be in eval mode to fuse and in train mode to
prepare_qat. After this fix, the tutorial runs to completion on a
linux x86 system.

Fixes pytorch#1269

Signed-off-by: BJ Hargrave <hargrave@us.ibm.com>
@bjhargrave bjhargrave mentioned this issue Nov 7, 2023
Merged
@svekars svekars added module: quantization and removed quantization Issues relating to quantization tutorials labels Nov 7, 2023
bjhargrave added a commit to bjhargrave/pytorch-tutorials that referenced this issue Nov 8, 2023
@bjhargrave
Fix static_quantization_tutorial error in qat_model
060dc6a 
We need to use the qat variant of the fuse_modules method.
After this fix, the tutorial runs to completion on a
linux x86 system.

Fixes pytorch#1269

Signed-off-by: BJ Hargrave <hargrave@us.ibm.com>
svekars added a commit that referenced this issue Nov 9, 2023
@bjhargrave @svekars
Fix static_quantization_tutorial error in qat_model (#2661)
a668406 
We need to use the qat variant of the fuse_modules method.
After this fix, the tutorial runs to completion on a
linux x86 system.

Fixes #1269

Signed-off-by: BJ Hargrave <hargrave@us.ibm.com>
Co-authored-by: Svetlana Karslioglu <svekars@meta.com>
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