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# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import TYPE_CHECKING
from ..utils import OptionalDependencyNotAvailable, _LazyModule, is_flax_available, is_tf_available, is_torch_available
_import_structure = {
"configuration_utils": ["GenerationConfig"],
"streamers": ["TextIteratorStreamer", "TextStreamer"],
}
try:
if not is_torch_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
pass
else:
_import_structure["beam_constraints"] = [
"Constraint",
"ConstraintListState",
"DisjunctiveConstraint",
"PhrasalConstraint",
]
_import_structure["beam_search"] = [
"BeamHypotheses",
"BeamScorer",
"BeamSearchScorer",
"ConstrainedBeamSearchScorer",
]
_import_structure["logits_process"] = [
"AlternatingCodebooksLogitsProcessor",
"ClassifierFreeGuidanceLogitsProcessor",
"EncoderNoRepeatNGramLogitsProcessor",
"EncoderRepetitionPenaltyLogitsProcessor",
"EpsilonLogitsWarper",
"EtaLogitsWarper",
"ExponentialDecayLengthPenalty",
"ForcedBOSTokenLogitsProcessor",
"ForcedEOSTokenLogitsProcessor",
"ForceTokensLogitsProcessor",
"HammingDiversityLogitsProcessor",
"InfNanRemoveLogitsProcessor",
"LogitNormalization",
"LogitsProcessor",
"LogitsProcessorList",
"LogitsWarper",
"MinLengthLogitsProcessor",
"MinNewTokensLengthLogitsProcessor",
"NoBadWordsLogitsProcessor",
"NoRepeatNGramLogitsProcessor",
"PrefixConstrainedLogitsProcessor",
"RepetitionPenaltyLogitsProcessor",
"SequenceBiasLogitsProcessor",
"SuppressTokensLogitsProcessor",
"SuppressTokensAtBeginLogitsProcessor",
"TemperatureLogitsWarper",
"TopKLogitsWarper",
"TopPLogitsWarper",
"TypicalLogitsWarper",
"UnbatchedClassifierFreeGuidanceLogitsProcessor",
"WhisperTimeStampLogitsProcessor",
]
_import_structure["stopping_criteria"] = [
"MaxNewTokensCriteria",
"MaxLengthCriteria",
"MaxTimeCriteria",
"StoppingCriteria",
"StoppingCriteriaList",
"validate_stopping_criteria",
]
_import_structure["utils"] = [
"GenerationMixin",
"top_k_top_p_filtering",
"GreedySearchEncoderDecoderOutput",
"GreedySearchDecoderOnlyOutput",
"SampleEncoderDecoderOutput",
"SampleDecoderOnlyOutput",
"BeamSearchEncoderDecoderOutput",
"BeamSearchDecoderOnlyOutput",
"BeamSampleEncoderDecoderOutput",
"BeamSampleDecoderOnlyOutput",
"ContrastiveSearchEncoderDecoderOutput",
"ContrastiveSearchDecoderOnlyOutput",
]
try:
if not is_tf_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
pass
else:
_import_structure["tf_logits_process"] = [
"TFForcedBOSTokenLogitsProcessor",
"TFForcedEOSTokenLogitsProcessor",
"TFForceTokensLogitsProcessor",
"TFLogitsProcessor",
"TFLogitsProcessorList",
"TFLogitsWarper",
"TFMinLengthLogitsProcessor",
"TFNoBadWordsLogitsProcessor",
"TFNoRepeatNGramLogitsProcessor",
"TFRepetitionPenaltyLogitsProcessor",
"TFSuppressTokensAtBeginLogitsProcessor",
"TFSuppressTokensLogitsProcessor",
"TFTemperatureLogitsWarper",
"TFTopKLogitsWarper",
"TFTopPLogitsWarper",
]
_import_structure["tf_utils"] = [
"TFGenerationMixin",
"tf_top_k_top_p_filtering",
"TFGreedySearchDecoderOnlyOutput",
"TFGreedySearchEncoderDecoderOutput",
"TFSampleEncoderDecoderOutput",
"TFSampleDecoderOnlyOutput",
"TFBeamSearchEncoderDecoderOutput",
"TFBeamSearchDecoderOnlyOutput",
"TFBeamSampleEncoderDecoderOutput",
"TFBeamSampleDecoderOnlyOutput",
"TFContrastiveSearchEncoderDecoderOutput",
"TFContrastiveSearchDecoderOnlyOutput",
]
try:
if not is_flax_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
pass
else:
_import_structure["flax_logits_process"] = [
"FlaxForcedBOSTokenLogitsProcessor",
"FlaxForcedEOSTokenLogitsProcessor",
"FlaxForceTokensLogitsProcessor",
"FlaxLogitsProcessor",
"FlaxLogitsProcessorList",
"FlaxLogitsWarper",
"FlaxMinLengthLogitsProcessor",
"FlaxSuppressTokensAtBeginLogitsProcessor",
"FlaxSuppressTokensLogitsProcessor",
"FlaxTemperatureLogitsWarper",
"FlaxTopKLogitsWarper",
"FlaxTopPLogitsWarper",
"FlaxWhisperTimeStampLogitsProcessor",
]
_import_structure["flax_utils"] = [
"FlaxGenerationMixin",
"FlaxGreedySearchOutput",
"FlaxSampleOutput",
"FlaxBeamSearchOutput",
]
if TYPE_CHECKING:
from .configuration_utils import GenerationConfig
from .streamers import TextIteratorStreamer, TextStreamer
try:
if not is_torch_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
pass
else:
from .beam_constraints import Constraint, ConstraintListState, DisjunctiveConstraint, PhrasalConstraint
from .beam_search import BeamHypotheses, BeamScorer, BeamSearchScorer, ConstrainedBeamSearchScorer
from .logits_process import (
AlternatingCodebooksLogitsProcessor,
ClassifierFreeGuidanceLogitsProcessor,
EncoderNoRepeatNGramLogitsProcessor,
EncoderRepetitionPenaltyLogitsProcessor,
EpsilonLogitsWarper,
EtaLogitsWarper,
ExponentialDecayLengthPenalty,
ForcedBOSTokenLogitsProcessor,
ForcedEOSTokenLogitsProcessor,
ForceTokensLogitsProcessor,
HammingDiversityLogitsProcessor,
InfNanRemoveLogitsProcessor,
LogitNormalization,
LogitsProcessor,
LogitsProcessorList,
LogitsWarper,
MinLengthLogitsProcessor,
MinNewTokensLengthLogitsProcessor,
NoBadWordsLogitsProcessor,
NoRepeatNGramLogitsProcessor,
PrefixConstrainedLogitsProcessor,
RepetitionPenaltyLogitsProcessor,
SequenceBiasLogitsProcessor,
SuppressTokensAtBeginLogitsProcessor,
SuppressTokensLogitsProcessor,
TemperatureLogitsWarper,
TopKLogitsWarper,
TopPLogitsWarper,
TypicalLogitsWarper,
UnbatchedClassifierFreeGuidanceLogitsProcessor,
WhisperTimeStampLogitsProcessor,
)
from .stopping_criteria import (
MaxLengthCriteria,
MaxNewTokensCriteria,
MaxTimeCriteria,
StoppingCriteria,
StoppingCriteriaList,
validate_stopping_criteria,
)
from .utils import (
BeamSampleDecoderOnlyOutput,
BeamSampleEncoderDecoderOutput,
BeamSearchDecoderOnlyOutput,
BeamSearchEncoderDecoderOutput,
ContrastiveSearchDecoderOnlyOutput,
ContrastiveSearchEncoderDecoderOutput,
GenerationMixin,
GreedySearchDecoderOnlyOutput,
GreedySearchEncoderDecoderOutput,
SampleDecoderOnlyOutput,
SampleEncoderDecoderOutput,
top_k_top_p_filtering,
)
try:
if not is_tf_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
pass
else:
from .tf_logits_process import (
TFForcedBOSTokenLogitsProcessor,
TFForcedEOSTokenLogitsProcessor,
TFForceTokensLogitsProcessor,
TFLogitsProcessor,
TFLogitsProcessorList,
TFLogitsWarper,
TFMinLengthLogitsProcessor,
TFNoBadWordsLogitsProcessor,
TFNoRepeatNGramLogitsProcessor,
TFRepetitionPenaltyLogitsProcessor,
TFSuppressTokensAtBeginLogitsProcessor,
TFSuppressTokensLogitsProcessor,
TFTemperatureLogitsWarper,
TFTopKLogitsWarper,
TFTopPLogitsWarper,
)
from .tf_utils import (
TFBeamSampleDecoderOnlyOutput,
TFBeamSampleEncoderDecoderOutput,
TFBeamSearchDecoderOnlyOutput,
TFBeamSearchEncoderDecoderOutput,
TFContrastiveSearchDecoderOnlyOutput,
TFContrastiveSearchEncoderDecoderOutput,
TFGenerationMixin,
TFGreedySearchDecoderOnlyOutput,
TFGreedySearchEncoderDecoderOutput,
TFSampleDecoderOnlyOutput,
TFSampleEncoderDecoderOutput,
tf_top_k_top_p_filtering,
)
try:
if not is_flax_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
pass
else:
from .flax_logits_process import (
FlaxForcedBOSTokenLogitsProcessor,
FlaxForcedEOSTokenLogitsProcessor,
FlaxForceTokensLogitsProcessor,
FlaxLogitsProcessor,
FlaxLogitsProcessorList,
FlaxLogitsWarper,
FlaxMinLengthLogitsProcessor,
FlaxSuppressTokensAtBeginLogitsProcessor,
FlaxSuppressTokensLogitsProcessor,
FlaxTemperatureLogitsWarper,
FlaxTopKLogitsWarper,
FlaxTopPLogitsWarper,
FlaxWhisperTimeStampLogitsProcessor,
)
from .flax_utils import FlaxBeamSearchOutput, FlaxGenerationMixin, FlaxGreedySearchOutput, FlaxSampleOutput
else:
import sys
sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
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