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perf-df-unquantized-1xA10.csv

@@ -7103,7 +7103,7 @@ ChildProcessError: Traceback (most recent call last):
     self.weight = Parameter(torch.empty((out_features, in_features), **factory_kwargs))
   File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_device.py"", line 79, in __torch_function__
     return func(*args, **kwargs)
-torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1000.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 170.50 MiB is free. Process 19188 has 22.01 GiB memory in use. Of the allocated memory 21.60 GiB is allocated by PyTorch, and 128.97 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1000.00 MiB. GPU 0 has a total capacity of 22.18 GiB of which 170.50 MiB is free. Process 19155 has 22.01 GiB memory in use. Of the allocated memory 21.60 GiB is allocated by PyTorch, and 128.97 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
 
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