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python benchmarks/dynamo/torchbench.py --accuracy --bfloat16 -d xpu -n10 --inference --only llava --backend=inductor
xpu eval llava
Traceback (most recent call last):
File "/home/sdp/actions-runner/_work/torch-xpu-ops/pytorch/benchmarks/dynamo/common.py", line 4886, in run
) = runner.load_model(
File "/home/sdp/actions-runner/_work/torch-xpu-ops/pytorch/benchmarks/dynamo/torchbench.py", line 372, in load_model
self.validate_model(model, example_inputs)
File "/home/sdp/actions-runner/_work/torch-xpu-ops/pytorch/benchmarks/dynamo/common.py", line 2747, in validate_model
model = self.deepcopy_model(model)
File "/home/sdp/actions-runner/_work/torch-xpu-ops/pytorch/benchmarks/dynamo/common.py", line 2707, in deepcopy_model
return copy.deepcopy(model)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/copy.py", line 172, in deepcopy
y = _reconstruct(x, memo, *rv)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/copy.py", line 271, in _reconstruct
state = deepcopy(state, memo)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/copy.py", line 146, in deepcopy
y = copier(x, memo)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/copy.py", line 231, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/copy.py", line 146, in deepcopy
y = copier(x, memo)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/copy.py", line 231, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/copy.py", line 172, in deepcopy
y = _reconstruct(x, memo, *rv)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/copy.py", line 271, in _reconstruct
state = deepcopy(state, memo)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/copy.py", line 146, in deepcopy
y = copier(x, memo)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/copy.py", line 231, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/copy.py", line 146, in deepcopy
y = copier(x, memo)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/copy.py", line 231, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/copy.py", line 172, in deepcopy
y = _reconstruct(x, memo, *rv)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/copy.py", line 271, in _reconstruct
state = deepcopy(state, memo)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/copy.py", line 146, in deepcopy
y = copier(x, memo)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/copy.py", line 231, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/copy.py", line 146, in deepcopy
y = copier(x, memo)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/copy.py", line 231, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/copy.py", line 172, in deepcopy
y = _reconstruct(x, memo, *rv)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/copy.py", line 271, in _reconstruct
state = deepcopy(state, memo)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/copy.py", line 146, in deepcopy
y = copier(x, memo)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/copy.py", line 231, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/copy.py", line 146, in deepcopy
y = copier(x, memo)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/copy.py", line 231, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/copy.py", line 172, in deepcopy
y = _reconstruct(x, memo, *rv)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/copy.py", line 271, in _reconstruct
state = deepcopy(state, memo)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/copy.py", line 146, in deepcopy
y = copier(x, memo)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/copy.py", line 231, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/copy.py", line 146, in deepcopy
y = copier(x, memo)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/copy.py", line 231, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/copy.py", line 172, in deepcopy
y = _reconstruct(x, memo, *rv)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/copy.py", line 271, in _reconstruct
state = deepcopy(state, memo)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/copy.py", line 146, in deepcopy
y = copier(x, memo)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/copy.py", line 231, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/copy.py", line 146, in deepcopy
y = copier(x, memo)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/copy.py", line 231, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/copy.py", line 172, in deepcopy
y = _reconstruct(x, memo, *rv)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/copy.py", line 271, in _reconstruct
state = deepcopy(state, memo)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/copy.py", line 146, in deepcopy
y = copier(x, memo)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/copy.py", line 231, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/copy.py", line 146, in deepcopy
y = copier(x, memo)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/copy.py", line 231, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/copy.py", line 153, in deepcopy
y = copier(memo)
File "/home/sdp/miniforge3/envs/e2e_ci/lib/python3.10/site-packages/torch/nn/parameter.py", line 68, in __deepcopy__
self.data.clone(memory_format=torch.preserve_format), self.requires_grad
torch.OutOfMemoryError: XPU out of memory. Tried to allocate 172.00 MiB. GPU 0 has a total capacity of 48.00 GiB. Of the allocated memory 47.92 GiB is allocated by PyTorch, and 12.48 MiB is reserved by PyTorch but unallocated. Please use `empty_cache` to release all unoccupied cached memory.
eager_fail_to_run
🐛 Describe the bug
Ever pass in July 2024
Versions
Envirnoments:
Device: PVC 1100
torch-xpu-ops: 18bcd9a
python: 3.10
TRITON_COMMIT_ID: e98b6fcb8df5b44eb0d0addb6767c573d37ba024
TORCH_COMMIT_ID: b9fbd65dfd5e703bacbc6c25258d1215108b4faf
TORCHBENCH_COMMIT_ID: 766a5e3a189384659fd35a68c3b17b88c761aaac
TORCHVISION_COMMIT_ID: d23a6e1664d20707c11781299611436e1f0c104f
TORCHAUDIO_COMMIT_ID: b6d4675c7aedc53ba04f3f55786aac1de32be6b4
DRIVER_VERSION: 1.23.10.49.231129.50 (803.61)
KERNEL_VERSION: 5.15.0-73-generic #80 SMP Mon May 15 15:18:26 UTC 2023
BUNDLE_VERSION: 2025.0.1.20241113 (DL-Essential 2025.0.1)
OS_PRETTY_NAME: Ubuntu 22.04.2 LTS
GCC_VERSION: 11
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