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[Nougat] from transformers import * (#26562)

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* remove unprotected import to PIL

* cleanup

---------

Co-authored-by: Lysandre <lysandre@huggingface.co>
This commit is contained in:
Arthur 2023-10-03 16:32:12 +02:00 committed by GitHub
parent 2aef9a9601
commit c26b2a29e5
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2 changed files with 3 additions and 7 deletions
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3
src/transformers/models/deprecated/open_llama/modeling_open_llama.py
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@ -39,9 +39,6 @@ try:
from xformers import ops as xops
except ImportError:
xops = None
logger.warning(
"Xformers is not installed correctly. If you want to use memory_efficient_attention to accelerate training use the following command to install Xformers\npip install xformers."
)
_CONFIG_FOR_DOC = "OpenLlamaConfig"

7
src/transformers/models/nougat/processing_nougat.py
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@ -18,7 +18,6 @@ Processor class for Nougat.
from typing import Dict, List, Optional, Union
from transformers.image_utils import ChannelDimension, PILImageResampling
from transformers.tokenization_utils_base import PreTokenizedInput, TextInput, TruncationStrategy
from ...processing_utils import ProcessorMixin
@ -53,7 +52,7 @@ class NougatProcessor(ProcessorMixin):
do_crop_margin: bool = None,
do_resize: bool = None,
size: Dict[str, int] = None,
resample: PILImageResampling = None,
resample: "PILImageResampling" = None, # noqa: F821
do_thumbnail: bool = None,
do_align_long_axis: bool = None,
do_pad: bool = None,
@ -62,8 +61,8 @@ class NougatProcessor(ProcessorMixin):
do_normalize: bool = None,
image_mean: Optional[Union[float, List[float]]] = None,
image_std: Optional[Union[float, List[float]]] = None,
data_format: Optional[ChannelDimension] = ChannelDimension.FIRST,
input_data_format: Optional[Union[str, ChannelDimension]] = None,
data_format: Optional["ChannelDimension"] = "ChannelDimension.FIRST", # noqa: F821
input_data_format: Optional[Union[str, "ChannelDimension"]] = None, # noqa: F821
text_pair: Optional[Union[TextInput, PreTokenizedInput, List[TextInput], List[PreTokenizedInput]]] = None,
text_target: Union[TextInput, PreTokenizedInput, List[TextInput], List[PreTokenizedInput]] = None,
text_pair_target: Optional[