mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
synced 2026-01-14 06:27:45 +08:00
6755a3f077
* Update TensorRT-LLM --------- Co-authored-by: Tltin <TltinDeng01@gmail.com> Co-authored-by: zhaohb <zhaohbcloud@126.com> Co-authored-by: Bradley Heilbrun <brad@repl.it> Co-authored-by: nqbao11 <nqbao11.01@gmail.com> Co-authored-by: Nikhil Varghese <nikhil@bot-it.ai>
67 lines
2.4 KiB
Python
67 lines
2.4 KiB
Python
# SPDX-FileCopyrightText: Copyright (c) 2022-2023 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 typing import List
|
|
|
|
from .._common import default_net
|
|
from ..functional import Tensor, lora_plugin
|
|
from ..module import Module
|
|
|
|
|
|
class Lora(Module):
|
|
|
|
def __init__(self,
|
|
in_hidden_size: int = 0,
|
|
out_hidden_size: int = 0,
|
|
max_low_rank: int = 0) -> None:
|
|
super().__init__()
|
|
|
|
self.in_hidden_size = in_hidden_size
|
|
self.out_hidden_size = out_hidden_size
|
|
self.max_low_rank = max_low_rank
|
|
|
|
def forward(self,
|
|
x,
|
|
host_request_types=None,
|
|
host_context_lengths=None,
|
|
max_context_length: int = 0,
|
|
lora_ranks=None,
|
|
lora_weights_pointers=None):
|
|
if default_net().plugin_config.lora_plugin:
|
|
x = lora_plugin(x,
|
|
in_hidden_size=self.in_hidden_size,
|
|
out_hidden_size=self.out_hidden_size,
|
|
host_request_types=host_request_types,
|
|
transb=True,
|
|
host_context_lengths=host_context_lengths,
|
|
max_context_length=max_context_length,
|
|
max_low_rank=self.max_low_rank,
|
|
lora_ranks=lora_ranks,
|
|
lora_weights_pointers=lora_weights_pointers)
|
|
else:
|
|
assert False, "Not support lora without plugin"
|
|
|
|
return x
|
|
|
|
|
|
class LoraParams(object):
|
|
|
|
def __init__(self,
|
|
lora_ranks: Tensor = None,
|
|
lora_weights_pointers_list: List[Tensor] = None):
|
|
|
|
self.lora_ranks = lora_ranks
|
|
self.lora_weights_pointers_list = lora_weights_pointers_list
|