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perf-df-unquantized-1xT4.csv

@@ -2672,7 +2672,7 @@ 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 64.00 MiB. GPU 0 has a total capacity of 14.74 GiB of which 30.12 MiB is free. Process 19424 has 14.71 GiB memory in use. Of the allocated memory 14.51 GiB is allocated by PyTorch, and 85.33 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 64.00 MiB. GPU 0 has a total capacity of 14.74 GiB of which 30.12 MiB is free. Process 18550 has 14.71 GiB memory in use. Of the allocated memory 14.51 GiB is allocated by PyTorch, and 85.33 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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