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[BF16]For LayoutLMForSequenceClassification model on stock pytorch, gelu cost time on pvc-1100 worse than A100 * ratio #800

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xiaowangintel opened this issue Aug 22, 2024 · 2 comments
Open

[BF16]For LayoutLMForSequenceClassification model on stock pytorch, gelu cost time on pvc-1100 worse than A100 * ratio #800

xiaowangintel opened this issue Aug 22, 2024 · 2 comments
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E2E loops_kernel Loops Kernel Backbone performance triaged
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PT2.7

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@xiaowangintel
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xiaowangintel commented Aug 22, 2024 •
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🐛 Describe the bug

For more details, please refer to https://jira.devtools.intel.com/browse/PYTORCHDGQ-5064.

For more details, please refer to https://jira.devtools.intel.com/browse/PYTORCHDGQ-5089?filter=-2.

Versions

pytorch commit:03480213dea1f60f6d12e7348904d2f3ef7314d0
torch-xpu-ops commit:718bc42c667539977e5eadb11ea4dec602544bf2
driver : hotfix_agama-ci-devel-881.19
pti : l_intel-pti-dev_p_0.9.0.38_offline.sh
basekit : l_BaseKit_p_2024.2.1.100_offline.sh
@xytintel xytintel added the loops_kernel Loops Kernel Backbone label Sep 10, 2024
@chuanqi129 chuanqi129 added this to the PT2.6 milestone Oct 14, 2024
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retonym commented Nov 19, 2024

xpu performance is not targeted to PT 2.6

@retonym retonym modified the milestones: PT2.6, PT2.7 Nov 19, 2024
@weishi-deng
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rerun this test and the perf for gelu is reasonable.

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E2E loops_kernel Loops Kernel Backbone performance triaged
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@chuanqi129 @retonym @weishi-deng @xytintel @xiaowangintel