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Clean cache for CI/Nightly (#1042)
1. clean cache 2. remove merged additional PRs
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.github/scripts/apply_torch_pr.py

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default=[
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# Fallback to CPU for XPU FP64
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"https://github.com/pytorch/pytorch/pull/126516",
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# Enable deterministic for mkldnn ops
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"https://github.com/pytorch/pytorch/pull/127277",
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# [Inductor][Intel GPU] Support reduction split.
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"https://github.com/pytorch/pytorch/pull/129120",
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# Modify the tolerance level in TIMM benchmark
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"https://github.com/pytorch/pytorch/pull/129735",
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# [Intel GPU] Allow XPU device in cdist and pdist operators

.github/workflows/_linux_ut.yml

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cd ..
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python pytorch/torch/utils/collect_env.py
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rm -rf /tmp/torchinductor_*
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rm -rf ~/.triton/cache
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- name: Run XPU OP Examples
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if: contains(inputs.ut, 'op_regression') || github.event_name == 'schedule'
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run: |

.github/workflows/nightly_ondemand.yml

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echo "$GITHUB_ENV"
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rm -rf ../pytorch/inductor_log
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rm -rf /tmp/torchinductor_*
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rm -rf ~/.triton/cache
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# Nihglty launch
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- name: Nightly Huggingface FP32/BF16/FP16 Inference & Training Accuracy Test

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