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Details in https://github.com/intel/torch-xpu-ops/actions/runs/11361002852
env: pytorch: bdb42e7c944eb8c3bbfa0327e49e5db797a0bd92 torch-xpu-ops: 1d217ae keep_torch_xpu_ops: false python: 3.10 TRITON_COMMIT_ID: 91b14bf5593cf58a8541f3e6b9125600a867d4ef TORCH_COMMIT_ID: bdb42e7c944eb8c3bbfa0327e49e5db797a0bd92 TRANSFORMERS_VERSION: 243e186efbf7fb93328dd6b34927a4e8c8f24395 DRIVER_VERSION: 803.61 KERNEL_VERSION: 5.15.0-73-generic #80-Ubuntu SMP Mon May 15 15:18:26 UTC 2023 BUNDLE_VERSION: 0.5.3 OS_PRETTY_NAME: Ubuntu 22.04.2 LTS GCC_VERSION: 11
The text was updated successfully, but these errors were encountered:
could not reproduce the random issue locally. This model passed in last weekly test. Will check the condition in next weekly test.
Sorry, something went wrong.
amp_fp16 inference is not meta dashboard targeted datatype, move to milestone: PT2.7
fail accuracy in https://github.com/intel/torch-xpu-ops/actions/runs/13076390637/job/36490679565
Fail accuracy in 4a9333a and pytorch/pytorch@93316cf https://github.com/intel/torch-xpu-ops/actions/runs/13428785399/job/37516867627
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🐛 Describe the bug
Details in https://github.com/intel/torch-xpu-ops/actions/runs/11361002852
Versions
env:
pytorch: bdb42e7c944eb8c3bbfa0327e49e5db797a0bd92
torch-xpu-ops: 1d217ae
keep_torch_xpu_ops: false
python: 3.10
TRITON_COMMIT_ID: 91b14bf5593cf58a8541f3e6b9125600a867d4ef
TORCH_COMMIT_ID: bdb42e7c944eb8c3bbfa0327e49e5db797a0bd92
TRANSFORMERS_VERSION: 243e186efbf7fb93328dd6b34927a4e8c8f24395
DRIVER_VERSION: 803.61
KERNEL_VERSION: 5.15.0-73-generic #80-Ubuntu SMP Mon May 15 15:18:26 UTC 2023
BUNDLE_VERSION: 0.5.3
OS_PRETTY_NAME: Ubuntu 22.04.2 LTS
GCC_VERSION: 11
The text was updated successfully, but these errors were encountered: