/* * Copyright (c) 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. */ #pragma once #include "tensorrt_llm/runtime/common.h" #include "tensorrt_llm/runtime/iTensor.h" #include "tensorrt_llm/runtime/modelConfig.h" #include "tensorrt_llm/runtime/worldConfig.h" namespace tensorrt_llm::runtime::lora { // old lora configs without isDora field have only 3 fields SizeType32 constexpr kLORA_CONFIG_PRE_DORA_ROW_SIZE = 3; SizeType32 constexpr kLORA_CONFIG_ROW_SIZE = 4; SizeType32 constexpr kLORA_CONFIG_MODULE_OFF = 0; SizeType32 constexpr kLORA_CONFIG_LAYER_OFF = 1; SizeType32 constexpr kLORA_CONFIG_ADAPTER_SIZE_OFF = 2; // new lora configs have an additional isDora field in addition to the previous 3 SizeType32 constexpr kLORA_CONFIG_IS_DORA_OFF = 3; // old lora weights without dora scaling ptr SizeType32 constexpr kLORA_NUM_WEIGHTS_POINTERS_PRE_DORA = 2; SizeType32 constexpr kLORA_NUM_WEIGHTS_POINTERS = 3; class LoraModuleConfig { using TensorPtr = ITensor::SharedPtr; public: explicit LoraModuleConfig(TensorPtr loraConfigTensor); int32_t moduleId; int32_t layerId; int32_t adapterSize; bool isDora; }; void loraValidateRequestTensorDims(std::optional const& optReqLoraWeights, std::optional const& optReqLoraConfig); void loraValidateRequestTensors(std::optional const& optTaskId, std::optional const& optReqLoraWeights, std::optional const& optReqLoraConfig, runtime::ModelConfig const& modelConfig, runtime::WorldConfig const& worldConfig); } // namespace tensorrt_llm::runtime::lora