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https://github.com/NVIDIA/TensorRT-LLM.git
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72 lines
2.6 KiB
C++
72 lines
2.6 KiB
C++
/*
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* SPDX-FileCopyrightText: Copyright (c) 2025 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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*/
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#include "tensorrt_llm/executor/executor.h"
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#include "tensorrt_llm/executor/types.h"
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#include <optional>
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namespace tensorrt_llm::executor
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{
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LoraConfig::LoraConfig(IdType taskId, std::optional<Tensor> weights, std::optional<Tensor> config)
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: mTaskId(taskId)
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, mWeights(std::move(weights))
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, mConfig(std::move(config))
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{
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if (mWeights.has_value() || mConfig.has_value())
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{
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TLLM_CHECK_WITH_INFO(mWeights.has_value() && mConfig.has_value(),
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"Request for LoRA inference must have both lora weights and lora config");
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SizeType32 constexpr expectedWeightsDims = 2;
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SizeType32 constexpr expectedConfigDims = 2;
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TLLM_CHECK_WITH_INFO(
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mWeights.value().getShape().size() == expectedWeightsDims, "Expected weights tensor to have 2 dimensions");
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TLLM_CHECK_WITH_INFO(
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mConfig.value().getShape().size() == expectedConfigDims, "Expected config tensor to have 2 dimensions");
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TLLM_CHECK_WITH_INFO(mWeights.value().getMemoryType() != MemoryType::kGPU
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&& mWeights.value().getMemoryType() != MemoryType::kUNKNOWN,
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"Expected lora weights to be in CPU memory");
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TLLM_CHECK_WITH_INFO(mConfig.value().getMemoryType() != MemoryType::kGPU
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&& mConfig.value().getMemoryType() != MemoryType::kUNKNOWN,
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"Expected lora weights to be in CPU memory");
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TLLM_CHECK_WITH_INFO(
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mConfig.value().getDataType() == DataType::kINT32, "Expected lora config tensor to have type kINT32");
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TLLM_CHECK_WITH_INFO(mConfig.value().getShape()[0] == mWeights.value().getShape()[0],
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"Expected dim 0 of lora weights and lora config to have the same size");
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}
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}
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IdType LoraConfig::getTaskId() const
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{
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return mTaskId;
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}
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std::optional<Tensor> LoraConfig::getWeights() const
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{
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return mWeights;
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}
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std::optional<Tensor> LoraConfig::getConfig() const
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{
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return mConfig;
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}
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} // namespace tensorrt_llm::executor
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