yeandy commented on code in PR #21868:
URL: https://github.com/apache/beam/pull/21868#discussion_r898278520
##########
sdks/python/apache_beam/ml/inference/pytorch_inference.py:
##########
@@ -103,6 +106,13 @@ def run_inference(
This method stacks the list of Tensors in a vectorized format to optimize
the inference call.
+
+ Args:
+ batch: A sequence of Tensors.
+ model: A pytorch model.
Review Comment:
```suggestion
batch: A sequence of Tensors. These Tensors should be batchable, as
this method will call `torch.stack()` and pass in batched Tensors with
dimensions (batch_size, n_features, etc.) into the model's forward() function.
model: A PyTorch model.
inference_args: Non-batchable arguments required as inputs to the
model's forward() function. Unlike Tensors in `batch`, these parameters will
not be dynamically batched
```
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: [email protected]
For queries about this service, please contact Infrastructure at:
[email protected]
