vLLM/vllm/lora/layers/__init__.py

# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
from vllm.lora.layers.base import BaseLayerWithLoRA
from vllm.lora.layers.column_parallel_linear import (
    ColumnParallelLinearWithLoRA,
    ColumnParallelLinearWithShardedLoRA,
    MergedColumnParallelLinearWithLoRA,
    MergedColumnParallelLinearWithShardedLoRA,
    MergedQKVParallelLinearWithLoRA,
    MergedQKVParallelLinearWithShardedLoRA,
    QKVParallelLinearWithLoRA,
    QKVParallelLinearWithShardedLoRA,
)
from vllm.lora.layers.fused_moe import FusedMoEWithLoRA
from vllm.lora.layers.logits_processor import LogitsProcessorWithLoRA
from vllm.lora.layers.replicated_linear import ReplicatedLinearWithLoRA
from vllm.lora.layers.row_parallel_linear import (
    RowParallelLinearWithLoRA,
    RowParallelLinearWithShardedLoRA,
)
from vllm.lora.layers.utils import LoRAMapping
from vllm.lora.layers.vocal_parallel_embedding import VocabParallelEmbeddingWithLoRA

__all__ = [
    "BaseLayerWithLoRA",
    "VocabParallelEmbeddingWithLoRA",
    "LogitsProcessorWithLoRA",
    "ColumnParallelLinearWithLoRA",
    "ColumnParallelLinearWithShardedLoRA",
    "MergedColumnParallelLinearWithLoRA",
    "MergedColumnParallelLinearWithShardedLoRA",
    "MergedQKVParallelLinearWithLoRA",
    "MergedQKVParallelLinearWithShardedLoRA",
    "QKVParallelLinearWithLoRA",
    "QKVParallelLinearWithShardedLoRA",
    "RowParallelLinearWithLoRA",
    "RowParallelLinearWithShardedLoRA",
    "ReplicatedLinearWithLoRA",
    "LoRAMapping",
    "FusedMoEWithLoRA",
]