File size: 10,557 Bytes
122057f
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
# 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__)