# Copyright 2025 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
# limitations under the License.

import logging
import os

try:
    from mindspeed.megatron_adaptor import repatch
except ImportError:
    repatch = None

from verl.trainer.config import CheckpointConfig
from verl.workers.config import HFModelConfig, McoreEngineConfig, McoreOptimizerConfig

from ..base import EngineRegistry
from ..megatron import MegatronEngineWithLMHead

logger = logging.getLogger(__file__)
logger.setLevel(os.getenv("VERL_LOGGING_LEVEL", "WARN"))


@EngineRegistry.register(model_type="language_model", backend="megatron", device="npu")
class MindspeedEngineWithLMHead(MegatronEngineWithLMHead):
    def __init__(
        self,
        model_config: HFModelConfig,
        engine_config: McoreEngineConfig,
        optimizer_config: McoreOptimizerConfig,
        checkpoint_config: CheckpointConfig,
    ):
        super().__init__(model_config, engine_config, optimizer_config, checkpoint_config)

        repatch_config = self.engine_config.get("override_transformer_config", {})
        repatch_config["use_flash_attn"] = True
        if self.engine_config.context_parallel_size > 1:
            repatch_config["context_parallel_size"] = self.engine_config.context_parallel_size

        repatch(repatch_config)