File size: 5,354 Bytes
dee9fba | 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 | # 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.
# There is a circular import in the PPOTrainer if we let isort sort these
from typing import TYPE_CHECKING
from ..import_utils import OptionalDependencyNotAvailable, _LazyModule, is_diffusers_available
_import_structure = {
"alignprop_config": ["AlignPropConfig"],
"alignprop_trainer": ["AlignPropTrainer"],
"base": ["BaseTrainer"],
"bco_config": ["BCOConfig"],
"bco_trainer": ["BCOTrainer"],
"callbacks": ["LogCompletionsCallback", "RichProgressCallback", "SyncRefModelCallback", "WinRateCallback"],
"cpo_config": ["CPOConfig"],
"cpo_trainer": ["CPOTrainer"],
"ddpo_config": ["DDPOConfig"],
"dpo_config": ["DPOConfig", "FDivergenceConstants", "FDivergenceType"],
"dpo_trainer": ["DPOTrainer"],
"gkd_config": ["GKDConfig"],
"gkd_trainer": ["GKDTrainer"],
"iterative_sft_trainer": ["IterativeSFTTrainer"],
"judges": [
"AllTrueJudge",
"BaseJudge",
"BaseBinaryJudge",
"BasePairwiseJudge",
"BaseRankJudge",
"HfPairwiseJudge",
"OpenAIPairwiseJudge",
"PairRMJudge",
],
"kto_config": ["KTOConfig"],
"kto_trainer": ["KTOTrainer"],
"model_config": ["ModelConfig"],
"nash_md_config": ["NashMDConfig"],
"nash_md_trainer": ["NashMDTrainer"],
"online_dpo_config": ["OnlineDPOConfig"],
"online_dpo_trainer": ["OnlineDPOTrainer"],
"orpo_config": ["ORPOConfig"],
"orpo_trainer": ["ORPOTrainer"],
"ppo_config": ["PPOConfig"],
"ppo_trainer": ["PPOTrainer"],
"ppov2_config": ["PPOv2Config"],
"ppov2_trainer": ["PPOv2Trainer"],
"reward_config": ["RewardConfig"],
"reward_trainer": ["RewardTrainer", "compute_accuracy"],
"rloo_config": ["RLOOConfig"],
"rloo_trainer": ["RLOOTrainer"],
"sft_config": ["SFTConfig"],
"sft_trainer": ["SFTTrainer"],
"utils": [
"AdaptiveKLController",
"ConstantLengthDataset",
"DataCollatorForCompletionOnlyLM",
"FixedKLController",
"RunningMoments",
"disable_dropout_in_model",
"peft_module_casting_to_bf16",
],
"xpo_config": ["XPOConfig"],
"xpo_trainer": ["XPOTrainer"],
}
try:
if not is_diffusers_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
pass
else:
_import_structure["ddpo_trainer"] = ["DDPOTrainer"]
if TYPE_CHECKING:
from .alignprop_config import AlignPropConfig
from .alignprop_trainer import AlignPropTrainer
from .base import BaseTrainer
from .bco_config import BCOConfig
from .bco_trainer import BCOTrainer
from .callbacks import LogCompletionsCallback, RichProgressCallback, SyncRefModelCallback, WinRateCallback
from .cpo_config import CPOConfig
from .cpo_trainer import CPOTrainer
from .ddpo_config import DDPOConfig
from .dpo_config import DPOConfig, FDivergenceConstants, FDivergenceType
from .dpo_trainer import DPOTrainer
from .gkd_config import GKDConfig
from .gkd_trainer import GKDTrainer
from .iterative_sft_trainer import IterativeSFTTrainer
from .judges import (
AllTrueJudge,
BaseBinaryJudge,
BaseJudge,
BasePairwiseJudge,
BaseRankJudge,
HfPairwiseJudge,
OpenAIPairwiseJudge,
PairRMJudge,
)
from .kto_config import KTOConfig
from .kto_trainer import KTOTrainer
from .model_config import ModelConfig
from .nash_md_config import NashMDConfig
from .nash_md_trainer import NashMDTrainer
from .online_dpo_config import OnlineDPOConfig
from .online_dpo_trainer import OnlineDPOTrainer
from .orpo_config import ORPOConfig
from .orpo_trainer import ORPOTrainer
from .ppo_config import PPOConfig
from .ppo_trainer import PPOTrainer
from .reward_config import RewardConfig
from .reward_trainer import RewardTrainer, compute_accuracy
from .rloo_config import RLOOConfig
from .rloo_trainer import RLOOTrainer
from .sft_config import SFTConfig
from .sft_trainer import SFTTrainer
from .utils import (
AdaptiveKLController,
ConstantLengthDataset,
DataCollatorForCompletionOnlyLM,
FixedKLController,
RunningMoments,
disable_dropout_in_model,
empty_cache,
peft_module_casting_to_bf16,
)
from .xpo_config import XPOConfig
from .xpo_trainer import XPOTrainer
try:
if not is_diffusers_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
pass
else:
from .ddpo_trainer import DDPOTrainer
else:
import sys
sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
|