/* * Copyright (c) 2022-2023, NVIDIA CORPORATION. All rights reserved. * * 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/common/cudaUtils.h" #include "tensorrt_llm/runtime/common.h" #include "tensorrt_llm/runtime/iTensor.h" #include "tensorrt_llm/runtime/promptTuningParams.h" #include #include namespace tensorrt_llm::runtime { template class GenericGenerationInput { public: using TensorPtr = TTensor; explicit GenericGenerationInput( SizeType const endId, SizeType const padId, TensorPtr ids, TensorPtr lengths, bool packed = false) : endId{endId} , padId{padId} , ids{std::move(ids)} , lengths{std::move(lengths)} , packed{packed} , maxNewTokens(std::nullopt) { TLLM_CHECK_WITH_INFO(static_cast(this->ids), "Invalid ids tensor"); TLLM_CHECK_WITH_INFO(static_cast(this->lengths), "Invalid lengths tensor"); } // mandatory parameters SizeType endId; SizeType padId; TensorPtr ids; // [1, packedLength] or [batchSize, maxInputLength], on gpu TensorPtr lengths; // [batchSize], on gpu bool packed; // indicates if ids are packed or padded to maxInputLength // optional parameters TensorPtr embeddingBias; // [vocabSizePadded], on gpu TensorPtr badWordsList; // [2, badWordsLength] or [batchSize, 2, badWordsLength], on gpu TensorPtr stopWordsList; // [batchSize, 2, stopWordsLength], on gpu std::optional maxNewTokens; // max number of tokens to generate // Ptuning parameters PromptTuningParams promptTuningParams; // See promptTuningParams.h for expected shapes }; class GenerationInput : public GenericGenerationInput { public: using Base = GenericGenerationInput; using TensorPtr = Base::TensorPtr; explicit GenerationInput( SizeType const endId, SizeType const padId, TensorPtr ids, TensorPtr lengths, bool packed = false) : GenericGenerationInput(endId, padId, std::move(ids), std::move(lengths), packed) { } }; } // namespace tensorrt_llm::runtime