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In Con2d layer,how to pad "Same" not "Zero" #1021

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a1363901216 opened this issue Mar 17, 2017 · 3 comments
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In Con2d layer,how to pad "Same" not "Zero" #1021

a1363901216 opened this issue Mar 17, 2017 · 3 comments

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@a1363901216
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In Con2d layer,how to pad "Same" not "Zero".

In tensorflow , i see the option to choose whether pad the "Same" pixel as edge or pad "Zero" pixel .But dose pytorch have that option?
@soumith
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soumith commented Mar 17, 2017

pytorch does not have this option. if you want to do something like this, you have to explicitly pad via nn.functional.pad in the replicate mode: http://pytorch.org/docs/nn.html#torch.nn.functional.pad

@soumith soumith closed this as completed Mar 17, 2017
@a1363901216
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thanks

@ryanleary ryanleary mentioned this issue Jun 20, 2017
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@rtaori
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rtaori commented Jul 4, 2019

Why does pytorch not have this feature? It would greatly help with quick prototyping

jjsjann123 added a commit to jjsjann123/pytorch that referenced this issue Aug 5, 2021
@naoyam @jjsjann123
Fix vectorization with inner broadcast axes (pytorch#1022)
5bbddfd 
Vectorization was disabled when broadcast inner axes exist.
Fixes pytorch#1021

patched with CI failure

Co-authored-by: jjsjann123 <alex.jann2012@gmail.com>
zhuhong61 pushed a commit to zhuhong61/pytorch that referenced this issue Jun 8, 2022
@jeffdaily
[ROCm] build libdrm from source for custom amdgpu.ids path (pytorch#1021
f11c877 
)
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@soumith @rtaori @a1363901216