[GitHub] [beam] yeandy commented on a diff in pull request #21806: Remove kwargs and add explicit runinference_args

[GitBox <gi...@apache.org>]

yeandy commented on code in PR #21806:
URL: https://github.com/apache/beam/pull/21806#discussion_r894896889


##########
sdks/python/apache_beam/ml/inference/pytorch_inference_test.py:
##########
@@ -115,12 +115,12 @@ def forward(self, x):
     return out
 
 
-class PytorchLinearRegressionKwargsPredictionParams(torch.nn.Module):
+class PytorchLinearRegressionKeyedBatchAndExtraParams(torch.nn.Module):
   """
-  A linear model with kwargs inputs and non-batchable input params.
+  A linear model with batched keyed inputs and non-batchable extra params.
 
-  Note: k1 and k2 are batchable inputs passed in as a kwargs.
-  prediction_param_array, prediction_param_bool are non-batchable inputs
+  Note: k1 and k2 are batchable examples passed in as a keyed to torch dict.

Review Comment:
   Yeah, that'll work



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