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Update tutorial to avoid use of copy.deepcopy()-FX Graph Mode Post Training Dynamic Quantization #2334

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sekyondaMeta opened this issue May 22, 2023 · 4 comments · Fixed by #2406
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Update tutorial to avoid use of copy.deepcopy()-FX Graph Mode Post Training Dynamic Quantization #2334

sekyondaMeta opened this issue May 22, 2023 · 4 comments · Fixed by #2406
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@Samsonboadi
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core Tutorials of any level of difficulty related to the core pytorch functionality docathon-h1-2023 A label for the docathon in H1 2023 easy

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@sekyondaMeta
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sekyondaMeta commented May 22, 2023 •
edited by pytorch-bot bot
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Update the FX Graph Mode Post Training Dynamic Quantization code to avoid the use of copy.deepcopy().

Tutorial link:

tutorials/prototype_source/fx_graph_mode_ptq_dynamic.py

Line 243 in 6ae56a1

model_to_quantize = copy.deepcopy(model)

See issue #2177 for more information

cc @albanD
@carljparker carljparker mentioned this issue May 26, 2023
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@svekars svekars added core Tutorials of any level of difficulty related to the core pytorch functionality easy docathon-h1-2023 A label for the docathon in H1 2023 labels May 30, 2023
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/Assigned

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@Samsonboadi Samsonboadi mentioned this issue Jun 1, 2023
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github-actions bot commented Jun 1, 2023

The issue is already assigned. Please pick an opened and unnasigned issue with the docathon-h1-2023 label.

This was referenced Jun 1, 2023
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@svekars svekars assigned Samsonboadi and unassigned soma2000-lang Jun 2, 2023
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core Tutorials of any level of difficulty related to the core pytorch functionality docathon-h1-2023 A label for the docathon in H1 2023 easy
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