mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
synced 2026-01-14 06:27:45 +08:00
95 lines
3.3 KiB
Python
Executable File
95 lines
3.3 KiB
Python
Executable File
# SPDX-FileCopyrightText: Copyright (c) 2022-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
|
# SPDX-License-Identifier: Apache-2.0
|
|
#
|
|
# 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 dataclasses import asdict, dataclass, field
|
|
|
|
from ..mapping import Mapping
|
|
from ..module import Module
|
|
from ..quantization import QuantMode
|
|
from .moe import MOE, MoeConfig
|
|
|
|
|
|
@dataclass
|
|
class LanguageAdapterConfig:
|
|
num_languages: int | None = None
|
|
top_k: int = 1
|
|
normalization_mode: MoeConfig.ExpertScaleNormalizationMode = MoeConfig.ExpertScaleNormalizationMode.DEVICE_LIMITED
|
|
ffn_hidden_size: int = 1024
|
|
language_list: list = field(default_factory=list)
|
|
|
|
def validate(self) -> "LanguageAdapterConfig":
|
|
if (self.num_languages is None or self.num_languages == 0
|
|
or self.top_k == 0):
|
|
raise ValueError(
|
|
"LanguageAdapterConfig's num_languages and top_k must not be set to 0"
|
|
)
|
|
if (self.normalization_mode
|
|
!= MoeConfig.ExpertScaleNormalizationMode.DEVICE_LIMITED):
|
|
raise ValueError(
|
|
"LanguageAdapterConfig's normalization_mode must be set to DEVICE_LIMITED since it skips both softmax and renormalization"
|
|
)
|
|
if (len(self.language_list) == 0):
|
|
raise ValueError(
|
|
"LanguageAdapterConfig's language_list must not be empty")
|
|
return self
|
|
|
|
@classmethod
|
|
def from_dict(cls, config: dict):
|
|
return cls(**config)
|
|
|
|
def to_dict(self):
|
|
return asdict(self)
|
|
|
|
def to_MOE_config(self):
|
|
return MoeConfig(
|
|
num_experts=self.num_languages,
|
|
top_k=self.top_k,
|
|
normalization_mode=self.normalization_mode,
|
|
)
|
|
|
|
|
|
class LanguageAdapter(Module):
|
|
"""
|
|
Language Adapter module that uses MOE plugin with static expert selection passed in as a parameter in request.
|
|
A language MLP is selected by user for each request.
|
|
see https://arxiv.org/pdf/2005.00052 for more details.
|
|
"""
|
|
|
|
def __init__(
|
|
self,
|
|
language_adapter_config: LanguageAdapterConfig,
|
|
hidden_size: int,
|
|
hidden_act: str,
|
|
mapping: Mapping = Mapping(),
|
|
has_mlp_bias: bool = True,
|
|
dtype=None,
|
|
quant_mode=QuantMode(0),
|
|
):
|
|
super().__init__()
|
|
self.config = language_adapter_config
|
|
self.config.validate()
|
|
|
|
self.layers = MOE(
|
|
hidden_size=hidden_size,
|
|
ffn_hidden_size=language_adapter_config.ffn_hidden_size,
|
|
hidden_act=hidden_act,
|
|
dtype=dtype,
|
|
bias=has_mlp_bias,
|
|
tp_group=mapping.tp_group,
|
|
tp_size=mapping.tp_size,
|
|
quant_mode=quant_mode,
|
|
static_routing=True,
|
|
moe_config=self.config.to_MOE_config(),
|
|
mapping=mapping)
|