mirror of
https://github.com/huggingface/transformers.git
synced 2025-07-31 02:02:21 +06:00
docs: Replace package abbreviations with full name(bitsandbytes
) in docstrings (#33230)
* docs: Provide fullname for `bitsandbytes` package * docs: Provide fullname for `bitsandbytes` package (2)
This commit is contained in:
parent
409fcfdfcc
commit
963ed98bed
@ -1274,7 +1274,7 @@ class Trainer:
|
||||
optimizer_kwargs.update(additional_optim_kwargs)
|
||||
optimizer_kwargs.update(bnb_kwargs)
|
||||
except ImportError:
|
||||
raise ValueError("Trainer tried to instantiate bnb optimizer but bnb is not installed!")
|
||||
raise ValueError("Trainer tried to instantiate bnb optimizer but `bitsandbytes` is not installed!")
|
||||
if is_bitsandbytes_available() and version.parse(
|
||||
importlib.metadata.version("bitsandbytes")
|
||||
) < version.parse("0.41.1"):
|
||||
|
@ -4427,7 +4427,7 @@ class TrainerOptimizerChoiceTest(unittest.TestCase):
|
||||
args = TrainingArguments(optim=OptimizerNames.ADAMW_BNB, output_dir="None")
|
||||
|
||||
# Pretend that bnb does not exist, even if installed. By setting bnb to None, importing
|
||||
# bnb will fail even if bnb is installed.
|
||||
# bnb will fail even if `bitsandbytes` is installed.
|
||||
with patch.dict("sys.modules", {"bitsandbytes.optim": None}):
|
||||
with self.assertRaises(ValueError):
|
||||
Trainer.get_optimizer_cls_and_kwargs(args)
|
||||
@ -4436,7 +4436,7 @@ class TrainerOptimizerChoiceTest(unittest.TestCase):
|
||||
args = TrainingArguments(optim=OptimizerNames.PAGED_ADAMW, output_dir="None")
|
||||
|
||||
# Pretend that bnb does not exist, even if installed. By setting bnb to None, importing
|
||||
# bnb will fail even if bnb is installed.
|
||||
# bnb will fail even if `bitsandbytes` is installed.
|
||||
with patch.dict("sys.modules", {"bitsandbytes.optim": None}):
|
||||
with self.assertRaises(ValueError):
|
||||
Trainer.get_optimizer_cls_and_kwargs(args)
|
||||
@ -4445,7 +4445,7 @@ class TrainerOptimizerChoiceTest(unittest.TestCase):
|
||||
args = TrainingArguments(optim=OptimizerNames.PAGED_ADAMW_8BIT, output_dir="None")
|
||||
|
||||
# Pretend that bnb does not exist, even if installed. By setting bnb to None, importing
|
||||
# bnb will fail even if bnb is installed.
|
||||
# bnb will fail even if `bitsandbytes` is installed.
|
||||
with patch.dict("sys.modules", {"bitsandbytes.optim": None}):
|
||||
with self.assertRaises(ValueError):
|
||||
Trainer.get_optimizer_cls_and_kwargs(args)
|
||||
@ -4454,7 +4454,7 @@ class TrainerOptimizerChoiceTest(unittest.TestCase):
|
||||
args = TrainingArguments(optim=OptimizerNames.PAGED_LION, output_dir="None")
|
||||
|
||||
# Pretend that bnb does not exist, even if installed. By setting bnb to None, importing
|
||||
# bnb will fail even if bnb is installed.
|
||||
# bnb will fail even if `bitsandbytes` is installed.
|
||||
with patch.dict("sys.modules", {"bitsandbytes.optim": None}):
|
||||
with self.assertRaises(ValueError):
|
||||
Trainer.get_optimizer_cls_and_kwargs(args)
|
||||
@ -4463,7 +4463,7 @@ class TrainerOptimizerChoiceTest(unittest.TestCase):
|
||||
args = TrainingArguments(optim=OptimizerNames.PAGED_LION_8BIT, output_dir="None")
|
||||
|
||||
# Pretend that bnb does not exist, even if installed. By setting bnb to None, importing
|
||||
# bnb will fail even if bnb is installed.
|
||||
# bnb will fail even if `bitsandbytes` is installed.
|
||||
with patch.dict("sys.modules", {"bitsandbytes.optim": None}):
|
||||
with self.assertRaises(ValueError):
|
||||
Trainer.get_optimizer_cls_and_kwargs(args)
|
||||
|
Loading…
Reference in New Issue
Block a user