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[TF-PT-Tests] Fix PyTorch - TF tests for different GPU devices (#15846)

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Patrick von Platen
2022-02-28 21:46:46 +01:00
committed by GitHub
parent 97f9b8a27b
commit ddbb485c41
1 changed files with 2 additions and 3 deletions
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5
tests/test_modeling_common.py
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@@ -1493,9 +1493,8 @@ class ModelTesterMixin:
tf_model = transformers.load_pytorch_model_in_tf2_model(tf_model, pt_model, tf_inputs=tf_inputs_dict) tf_model = transformers.load_pytorch_model_in_tf2_model(tf_model, pt_model, tf_inputs=tf_inputs_dict)
pt_model = transformers.load_tf2_model_in_pytorch_model(pt_model, tf_model).to(torch_device) pt_model = transformers.load_tf2_model_in_pytorch_model(pt_model, tf_model).to(torch_device)
# need to rename encoder-decoder "inputs" for PyTorch # Make sure PyTorch tensors are on same device as model
# if "inputs" in pt_inputs_dict and self.is_encoder_decoder: pt_inputs = {k: v.to(torch_device) if torch.is_tensor(v) else v for k, v in pt_inputs.items()}
# pt_inputs_dict["input_ids"] = pt_inputs_dict.pop("inputs")
with torch.no_grad(): with torch.no_grad():
pto = pt_model(**pt_inputs) pto = pt_model(**pt_inputs)