8000 Avoid importing tensorflow when importing evaluate by NouamaneTazi · Pull Request #135 · huggingface/evaluate · GitHub
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Avoid importing tensorflow when importing evaluate #135

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Merged
merged 5 commits into from
Jul 18, 2022
Merged

Avoid importing tensorflow when importing evaluate #135

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77ef609
avoid loading TFPreTrainedModel to check model's type
NouamaneTazi Jun 12, 2022
38174b0
fix compute() for user-defined models
NouamaneTazi Jun 13, 2022
d6954f0
avoid importing `transformers.TFPreTrainedModel` unless necessary
NouamaneTazi Jun 30, 2022
14af63c
Merge remote-tracking branch 'origin/main' into pr/NouamaneTazi/135
NouamaneTazi Jul 15, 2022
4720a26
remove unused imports and small refactor
NouamaneTazi Jul 15, 2022
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29 changes: 12 additions & 17 deletions src/evaluate/evaluator/base.py
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Original file line number Diff line number Diff line change
Expand Up @@ -28,15 +28,8 @@
SCIPY_AVAILABLE = False

try:
from transformers import (
FeatureExtractionMixin,
Pipeline,
PreTrainedModel,
PreTrainedTokenizer,
PreTrainedTokenizerBase,
TFPreTrainedModel,
pipeline,
)
import transformers
from transformers import FeatureExtractionMixin, pipeline

TRANSFORMERS_AVAILABLE = True
except ImportError:
Expand Down Expand Up @@ -121,10 +114,12 @@ def predictions_processor(self, *args, **kwargs):

def compute(
self,
model_or_pipeline: Union[str, "Pipeline", Callable, "PreTrainedModel", "TFPreTrainedModel"] = None,
model_or_pipeline: Union[
str, "Pipeline", Callable, "PreTrainedModel", "TFPreTrainedModel" # noqa: F821
] = None,
data: Union[str, Dataset] = None,
metric: Union[str, EvaluationModule] = None,
tokenizer: Optional[Union[str, "PreTrainedTokenizer"]] = None,
tokenizer: Optional[Union[str, "PreTrainedTokenizer"]] = None, # noqa: F821
feature_extractor: Optional[Union[str, "FeatureExtractionMixin"]] = None,
strategy: Literal["simple", "bootstrap"] = "simple",
confidence_level: float = 0.95,
Expand Down Expand Up @@ -198,9 +193,9 @@ def prepare_data(self, data: Union[str, Dataset], input_column: str, label_colum

def prepare_pipeline(
self,
model_or_pipeline: Union[str, "Pipeline", Callable, "PreTrainedModel", "TFPreTrainedModel"],
tokenizer: Union["PreTrainedTokenizerBase", "FeatureExtractionMixin"] = None,
feature_extractor: Union["PreTrainedTokenizerBase", "FeatureExtractionMixin"] = None,
model_or_pipeline: Union[str, "Pipeline", Callable, "PreTrainedModel", "TFPreTrainedModel"], # noqa: F821
tokenizer: Union["PreTrainedTokenizerBase", "FeatureExtractionMixin"] = None, # noqa: F821
feature_extractor: Union["PreTrainedTokenizerBase", "FeatureExtractionMixin"] = None, # noqa: F821
):
"""
Prepare pipeline.
Expand All @@ -220,9 +215,9 @@ def prepare_pipeline(
The initialized pipeline.
"""
if (
isinstance(model_or_pipeline, PreTrainedModel)
or isinstance(model_or_pipeline, TFPreTrainedModel)
or isinstance(model_or_pipeline, str)
isinstance(model_or_pipeline, str)
or isinstance(model_or_pipeline, transformers.PreTrainedModel)
or isinstance(model_or_pipeline, transformers.TFPreTrainedModel)
):
pipe = pipeline(
self.task, model=model_or_pipeline, tokenizer=tokenizer, feature_extractor=feature_extractor
Expand Down
0