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Update tutorial to avoid use of copy.deepcopy()- Convolution/Batch Norm Fuser in FX #2331

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sekyondaMeta opened this issue May 22, 2023 · 4 comments
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core Tutorials of any level of difficulty related to the core pytorch functionality docathon-h2-2023 easy fx issues related to fx

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@sekyondaMeta
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sekyondaMeta commented May 22, 2023

Update the Building a convolution/batch norm fuser in FX to avoid the use of copy.deepcopy().
Tutorial link:

fused_conv = copy.deepcopy(conv)

See issue #2177 for more information

cc @eellison @suo @gmagogsfm @jamesr66a @msaroufim @SherlockNoMad @albanD @svekars @carljparker @NicolasHug @kit1980 @subramen

@mikebrow
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/assigntome

@JoseLuisC99
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/assigntome

@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
@MirMustafaAli
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@svekars svekars added core Tutorials of any level of difficulty related to the core pytorch functionality fx issues related to fx labels Nov 6, 2023
@svekars svekars closed this as completed Nov 14, 2023
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