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587d063e6d
* Update TensorRT-LLM --------- Co-authored-by: Shixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com>
67 lines
2.4 KiB
Python
67 lines
2.4 KiB
Python
# SPDX-FileCopyrightText: Copyright (c) 2022-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# SPDX-License-Identifier: Apache-2.0
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from typing import List
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from .._common import default_net
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from ..functional import Tensor, lora_plugin
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from ..module import Module
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class Lora(Module):
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def __init__(self,
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in_hidden_size: int = 0,
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out_hidden_size: int = 0,
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max_low_rank: int = 0) -> None:
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super().__init__()
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self.in_hidden_size = in_hidden_size
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self.out_hidden_size = out_hidden_size
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self.max_low_rank = max_low_rank
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def forward(self,
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x,
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host_request_types=None,
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host_context_lengths=None,
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max_context_length: int = 0,
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lora_ranks=None,
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lora_weights_pointers=None):
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if default_net().plugin_config.lora_plugin:
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x = lora_plugin(x,
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in_hidden_size=self.in_hidden_size,
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out_hidden_size=self.out_hidden_size,
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host_request_types=host_request_types,
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transb=True,
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host_context_lengths=host_context_lengths,
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max_context_length=max_context_length,
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max_low_rank=self.max_low_rank,
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lora_ranks=lora_ranks,
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lora_weights_pointers=lora_weights_pointers)
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else:
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assert False, "Not support lora without plugin"
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return x
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class LoraParams(object):
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def __init__(self,
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lora_ranks: Tensor = None,
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lora_weights_pointers_list: List[Tensor] = None):
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self.lora_ranks = lora_ranks
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self.lora_weights_pointers_list = lora_weights_pointers_list
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