# Copyright 2024 Bytedance Ltd. and/or its affiliates
#
# 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
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"""
ActorRolloutRef config
"""

from dataclasses import dataclass, field

from .actor import ActorConfig, FSDPConfig, ModelConfig, OptimConfig, RefConfig
from .critic import CriticConfig
from .reward import RewardConfig
from .rollout import RolloutConfig


__all__ = [
    "ActorConfig",
    "CriticConfig",
    "FSDPConfig",
    "ModelConfig",
    "OptimConfig",
    "RefConfig",
    "RewardConfig",
    "RolloutConfig",
    "WorkerConfig",
]


@dataclass
class WorkerConfig:
    hybrid_engine: bool = True
    actor: ActorConfig = field(default_factory=ActorConfig)
    critic: CriticConfig = field(default_factory=CriticConfig)
    ref: RefConfig = field(default_factory=RefConfig)
    reward: RewardConfig = field(default_factory=RewardConfig)
    rollout: RolloutConfig = field(default_factory=RolloutConfig)

    def post_init(self):
        self.ref.micro_batch_size_per_device_for_experience = self.actor.micro_batch_size_per_device_for_experience
        self.ref.padding_free = self.actor.padding_free
        self.ref.ulysses_sequence_parallel_size = self.actor.ulysses_sequence_parallel_size
        self.ref.use_torch_compile = self.actor.use_torch_compile