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PyTorch-1.10.0_fix-fp16-quantization-without-fbgemm.patch is missing which didn't apply even though pytorch/pytorch#84750 was merged. The merge is however only in PyTorch 2.0. The patch didn't apply because the code was reformatted in pytorch/pytorch@e60fd10
This PR adds an updated version of that Patch which applies to all PyTorch 1.11-1.13 versions so far.
Test report by @Flamefire FAILEDSUCCESS (see below)
Build succeeded for 0 out of 1 (1 easyconfigs in total)
taurusi8026 - Linux CentOS Linux 7.9.2009, x86_64, AMD EPYC 7352 24-Core Processor (zen2), 8 x NVIDIA NVIDIA A100-SXM4-40GB, 470.57.02, Python 2.7.5
See https://gist.github.com/Flamefire/fa230960cd0bb0137bc803ace4d779dd for a full test report.
Only a single failure: distributed/test_distributed_spawn. We exclude this in other ECs as it times out on Ampere GPUs which matches what I see here --> Excluded this test. As the other tests succeed I won't rerun this
Test report by @branfosj SUCCESS
Build succeeded for 1 out of 1 (1 easyconfigs in total)
bear-pg0203u29a.bear.cluster - Linux RHEL 8.6, x86_64, Intel(R) Xeon(R) Platinum 8360Y CPU @ 2.40GHz (icelake), 1 x NVIDIA NVIDIA A100-SXM4-80GB, 520.61.05, Python 3.6.8
See https://gist.github.com/branfosj/1f41e5f624b64e9593b2ff6d4c798103 for a full test report.
Test report by @casparvl SUCCESS
Build succeeded for 1 out of 1 (1 easyconfigs in total)
gcn3.local.snellius.surf.nl - Linux RHEL 8.6, x86_64, Intel(R) Xeon(R) Platinum 8360Y CPU @ 2.40GHz, 4 x NVIDIA NVIDIA A100-SXM4-40GB, 520.61.05, Python 3.6.8
See https://gist.github.com/casparvl/7326feb83763409121944330a8bee114 for a full test report.
boegel
changed the title
Fix quantization failure in PyTorch 1.11.0 on POWER
add patch to fix quantization failure in PyTorch 1.11.0 on POWER
Aug 15, 2023
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boegel
changed the title
(created using
eb --new-pr)PyTorch-1.10.0_fix-fp16-quantization-without-fbgemm.patchis missing which didn't apply even though pytorch/pytorch#84750 was merged. The merge is however only in PyTorch 2.0. The patch didn't apply because the code was reformatted in pytorch/pytorch@e60fd10This PR adds an updated version of that Patch which applies to all PyTorch 1.11-1.13 versions so far.