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https://issues.apache.org/jira/browse/BEAM-14337?focusedWorklogId=777562&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-777562
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ASF GitHub Bot logged work on BEAM-14337:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 02/Jun/22 13:49
            Start Date: 02/Jun/22 13:49
    Worklog Time Spent: 10m 
      Work Description: yeandy commented on code in PR #17470:
URL: https://github.com/apache/beam/pull/17470#discussion_r887975096


##########
sdks/python/apache_beam/ml/inference/base_test.py:
##########
@@ -39,7 +39,7 @@ class FakeInferenceRunner(base.InferenceRunner):
   def __init__(self, clock=None):
     self._mock_clock = clock
 
-  def run_inference(self, batch: Any, model: Any) -> Iterable[Any]:
+  def run_inference(self, batch: Any, model: Any, **kwargs) -> Iterable[Any]:

Review Comment:
   Done.





Issue Time Tracking
-------------------

    Worklog Id:     (was: 777562)
    Time Spent: 7.5h  (was: 7h 20m)

> Support **kwargs for PyTorch models.
> ------------------------------------
>
>                 Key: BEAM-14337
>                 URL: https://issues.apache.org/jira/browse/BEAM-14337
>             Project: Beam
>          Issue Type: Sub-task
>          Components: sdk-py-core
>            Reporter: Anand Inguva
>            Assignee: Andy Ye
>            Priority: P2
>          Time Spent: 7.5h
>  Remaining Estimate: 0h
>
> Some models in Pytorch instantiating from torch.nn.Module, has extra 
> parameters in the forward function call. These extra parameters can be passed 
> as Dict or as positional arguments. 
> Example of PyTorch models supported by Hugging Face -> 
> [https://huggingface.co/bert-base-uncased]
> [Some torch models on Hugging 
> face|https://github.com/huggingface/transformers/blob/main/src/transformers/models/bert/modeling_bert.py]
> Eg: 
> [https://huggingface.co/docs/transformers/model_doc/bert#transformers.BertModel]
> {code:java}
> inputs = {
>      input_ids: Tensor1,
>      attention_mask: Tensor2,
>      token_type_ids: Tensor3,
> } 
> model = BertModel.from_pretrained("bert-base-uncased") # which is a  
> # subclass of torch.nn.Module
> outputs = model(**inputs) # model forward method should be expecting the keys 
> in the inputs as the positional arguments.{code}
>  
> [Transformers|https://pytorch.org/hub/huggingface_pytorch-transformers/] 
> integrated in Pytorch is supported by Hugging Face as well. 
>  



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