mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
synced 2026-01-14 06:27:45 +08:00
76 lines
4.1 KiB
C++
76 lines
4.1 KiB
C++
/*
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* SPDX-FileCopyrightText: Copyright (c) 2023-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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* SPDX-License-Identifier: NVIDIA TensorRT Source Code License Agreement
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*
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* NVIDIA CORPORATION, its affiliates and licensors retain all intellectual
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* property and proprietary rights in and to this material, related
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* documentation and any modifications thereto. Any use, reproduction,
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* disclosure or distribution of this material and related documentation
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* without an express license agreement from NVIDIA CORPORATION or
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* its affiliates is strictly prohibited.
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*/
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#include "modelSpec.h"
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#include <pybind11/pybind11.h>
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#include <pybind11/stl.h>
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namespace py = pybind11;
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using tensorrt_llm::testing::ModelSpec;
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using tensorrt_llm::testing::KVCacheType;
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using tensorrt_llm::testing::QuantMethod;
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using tensorrt_llm::testing::OutputContentType;
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PYBIND11_MODULE(model_spec, m)
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{
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py::enum_<QuantMethod>(m, "QuantMethod", py::arithmetic(), "Quantization Method")
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.value("NONE", QuantMethod::kNONE, "No Quantization")
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.value("SMOOTH_QUANT", QuantMethod::kSMOOTH_QUANT, "Smooth Quantization");
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py::enum_<OutputContentType>(m, "OutputContentType", py::arithmetic(), "Output Content Type")
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.value("NONE", OutputContentType::kNONE, "No Output Content")
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.value("CONTEXT_LOGITS", OutputContentType::kCONTEXT_LOGITS, "Context Logits")
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.value("GENERATION_LOGITS", OutputContentType::kGENERATION_LOGITS, "Generation Logits")
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.value("LOG_PROBS", OutputContentType::kLOG_PROBS, "Log Probs")
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.value("CUM_LOG_PROBS", OutputContentType::kCUM_LOG_PROBS, "Cumulative Log");
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py::class_<ModelSpec>(m, "ModelSpec")
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.def(py::init<std::string const&, nvinfer1::DataType>())
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.def("use_gpt_plugin", &ModelSpec::useGptAttentionPlugin)
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.def("use_packed_input", &ModelSpec::usePackedInput)
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.def("set_kv_cache_type", &ModelSpec::setKVCacheType)
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.def("use_decoder_per_request", &ModelSpec::useDecoderPerRequest)
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.def("use_tensor_parallelism", &ModelSpec::useTensorParallelism)
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.def("use_pipeline_parallelism", &ModelSpec::usePipelineParallelism)
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.def("use_context_parallelism", &ModelSpec::useContextParallelism)
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.def("set_draft_tokens", &ModelSpec::setDraftTokens)
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.def("use_accept_by_logits", &ModelSpec::useAcceptByLogits)
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.def("use_mamba_plugin", &ModelSpec::useMambaPlugin)
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.def("gather_logits", &ModelSpec::gatherLogits)
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.def("replace_logits", &ModelSpec::replaceLogits)
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.def("return_log_probs", &ModelSpec::returnLogProbs)
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.def("smoke_test", &ModelSpec::smokeTest)
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.def("use_medusa", &ModelSpec::useMedusa)
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.def("use_eagle", &ModelSpec::useEagle)
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.def("use_lookahead_decoding", &ModelSpec::useLookaheadDecoding)
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.def("use_explicit_draft_tokens_decoding", &ModelSpec::useExplicitDraftTokensDecoding)
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.def("use_draft_tokens_external_decoding", &ModelSpec::useDraftTokensExternalDecoding)
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.def("use_logits", &ModelSpec::useLogits)
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.def("use_multiple_profiles", &ModelSpec::useMultipleProfiles)
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.def("set_batch_sizes", &ModelSpec::setBatchSizes)
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.def("set_max_input_length", &ModelSpec::setMaxInputLength)
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.def("set_max_output_length", &ModelSpec::setMaxOutputLength)
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.def("set_quant_method", &ModelSpec::setQuantMethod)
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.def("use_lora_plugin", &ModelSpec::useLoraPlugin)
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.def("get_input_file", &ModelSpec::getInputFile)
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.def("get_model_path", &ModelSpec::getModelPath)
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.def("get_results_file", &ModelSpec::getResultsFile)
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.def("get_generation_logits_file", &ModelSpec::getGenerationLogitsFile)
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.def("get_context_logits_file", &ModelSpec::getContextLogitsFile)
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.def("get_cum_log_probs_file", &ModelSpec::getCumLogProbsFile)
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.def("get_log_probs_file", &ModelSpec::getLogProbsFile)
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.def("enable_context_fmha_fp32_acc", &ModelSpec::enableContextFMHAFp32Acc)
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.def("get_enable_context_fmha_fp32_acc", &ModelSpec::getEnableContextFMHAFp32Acc)
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.def("__copy__", [](ModelSpec const& self) { return ModelSpec(self); });
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};
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