damccorm commented on code in PR #29223:
URL: https://github.com/apache/beam/pull/29223#discussion_r1378826347
##########
sdks/python/apache_beam/ml/inference/huggingface_inference.py:
##########
@@ -638,8 +640,30 @@ def __init__(
if max_batch_size is not None:
self._batching_kwargs['max_batch_size'] = max_batch_size
self._large_model = large_model
+
+ # Check if the device is specified twice. If true then the device parameter
+ # of model handler is overridden.
+ self._deduplicate_device_value(device)
_validate_constructor_args_hf_pipeline(self._task, self._model)
+ def _deduplicate_device_value(self, device: str):
+ if 'device' not in self._load_pipeline_args:
+ if device == 'CPU':
+ self._load_pipeline_args['device'] = 'cpu'
+ else:
+ if is_gpu_available_torch():
+ self._load_pipeline_args['device'] = 'cuda:1'
+ else:
+ _LOGGER.warning(
+ "HuggingFaceModelHandler specified a 'GPU' device, "
+ "but GPUs are not available. Switching to CPU.")
+ self._load_pipeline_args['device'] = 'cpu'
+ else:
+ if device:
Review Comment:
Since `device` has a default value, this will always trigger. I think we
should change `device`'s default value to `device: Optional[str] = None`
##########
sdks/python/apache_beam/ml/inference/huggingface_inference.py:
##########
@@ -638,8 +640,30 @@ def __init__(
if max_batch_size is not None:
self._batching_kwargs['max_batch_size'] = max_batch_size
self._large_model = large_model
+
+ # Check if the device is specified twice. If true then the device parameter
+ # of model handler is overridden.
+ self._deduplicate_device_value(device)
_validate_constructor_args_hf_pipeline(self._task, self._model)
+ def _deduplicate_device_value(self, device: str):
Review Comment:
Would be good to throw if device != CPU or GPU here as well. Also would be
good to convert to uppercase if device is not None
##########
sdks/python/apache_beam/ml/inference/huggingface_inference.py:
##########
@@ -606,6 +603,11 @@ def __init__(
task="text-generation", model="meta-llama/Llama-2-7b-hf",
load_pipeline_args={'model_kwargs':{'quantization_map':config}})
+ device (str): the device on which you wish to run the pipeline. Defaults
Review Comment:
```suggestion
device (str): the device (CPU or GPU) on which you wish to run the
pipeline. Defaults
```
Note: applying this will break the format checker, so you should still
probably do it locally
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