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deaae40bd7
* Update TensorRT-LLM --------- Co-authored-by: Shixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com>
76 lines
2.2 KiB
C++
76 lines
2.2 KiB
C++
/*
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* Copyright (c) 2022-2024, NVIDIA CORPORATION. All rights reserved.
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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/common/logger.h"
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#include "tensorrt_llm/common/tllmException.h"
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#include <cuda_runtime.h>
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namespace tensorrt_llm::common
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{
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Logger::Logger()
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{
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char* isFirstRankOnlyChar = std::getenv("TLLM_LOG_FIRST_RANK_ONLY");
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bool isFirstRankOnly = (isFirstRankOnlyChar != nullptr && std::string(isFirstRankOnlyChar) == "ON");
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int deviceId;
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cudaGetDevice(&deviceId);
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char* levelName = std::getenv("TLLM_LOG_LEVEL");
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if (levelName != nullptr)
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{
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std::map<std::string, Level> nameToLevel = {
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{"TRACE", TRACE},
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{"DEBUG", DEBUG},
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{"INFO", INFO},
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{"WARNING", WARNING},
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{"ERROR", ERROR},
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};
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auto level = nameToLevel.find(levelName);
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// If TLLM_LOG_FIRST_RANK_ONLY=ON, set LOG LEVEL of other device to ERROR
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if (isFirstRankOnly && deviceId != 0)
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{
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level = nameToLevel.find("ERROR");
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}
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if (level != nameToLevel.end())
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{
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setLevel(level->second);
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}
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else
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{
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fprintf(stderr,
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"[TensorRT-LLM][WARNING] Invalid logger level TLLM_LOG_LEVEL=%s. "
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"Ignore the environment variable and use a default "
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"logging level.\n",
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levelName);
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levelName = nullptr;
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}
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}
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}
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void Logger::log(std::exception const& ex, Logger::Level level)
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{
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log(level, "%s: %s", TllmException::demangle(typeid(ex).name()).c_str(), ex.what());
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}
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Logger* Logger::getLogger()
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{
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thread_local Logger instance;
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return &instance;
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}
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} // namespace tensorrt_llm::common
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