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use device_map=auto when accelerate is installed #2666

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merged 1 commit into from Aug 23, 2023
Merged

use device_map=auto when accelerate is installed #2666

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6 changes: 5 additions & 1 deletion deepchecks/nlp/utils/text_properties_models.py
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Expand Up @@ -10,6 +10,7 @@
#
"""Module containing the text properties models for the NLP module."""
import importlib
import importlib.util
import pathlib
from functools import lru_cache
from typing import Optional, Union
Expand Down Expand Up @@ -169,6 +170,9 @@ def _get_transformer_pipeline(
"""Return a transformers pipeline for the given model name."""
transformers = import_optional_property_dependency('transformers', property_name=property_name)
tokenizer = transformers.AutoTokenizer.from_pretrained(model_name, device_map=device)
# device_map=auto if accelerate is installed
accelerate_is_installed = importlib.util.find_spec('accelerate') is not None
pipeline_kwargs = {'device_map': 'auto'} if accelerate_is_installed else {'device': device}
model = _get_transformer_model(
property_name=property_name,
model_name=model_name,
Expand All @@ -179,7 +183,7 @@ def _get_transformer_pipeline(
'text-classification',
model=model,
tokenizer=tokenizer,
device=device
**pipeline_kwargs
)


Expand Down