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Some models in torchbench raise the following exception and are not reported in cvs report:
NotImplementedError: Eager model failed to run
Models:
basic_gnn_edgecnn
RuntimeError: scatter_reduce_dpcpp does not have a deterministic implementation, but you set
'torch.use_deterministic_algorithms(True)'. You can turn off determinism just for this operation, or you can use the 'warn_only=True'
option, if that's acceptable for your application. You can also file an issue at https://github.com/pytorch/pytorch/issues to help us
prioritize adding deterministic support for this operation.
basic_gnn_gcn
RuntimeError: scatter_add_dpcpp_kernel does not have a deterministic implementation, but you set
'torch.use_deterministic_algorithms(True)'. You can turn off determinism just for this operation, or you can use the 'warn_only=True'
option, if that's acceptable for your application. You can also file an issue at https://github.com/pytorch/pytorch/issues to help us
prioritize adding deterministic support for this operation.
basic_gnn_gin
basic_gnn_sage
hf_T5_base
RuntimeError: Allocation is out of device memory on current platform.
hf_clip failed
File "/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/transformers/models/clip/modeling_clip.py", line 180, in forward
batch_size = pixel_values.shape[0]
AttributeError: 'str' object has no attribute 'shape'
The text was updated successfully, but these errors were encountered:
Some models in torchbench raise the following exception and are not reported in cvs report:
Models:
basic_gnn_edgecnn
basic_gnn_gcn
basic_gnn_gin
basic_gnn_sage
hf_T5_base
hf_clip failed
The text was updated successfully, but these errors were encountered: