huggingface/text-generation-inference
5
0
Fork 0
mirror of https://github.com/huggingface/text-generation-inference.git synced 2025-05-07 18:32:06 +00:00
Code Issues Packages Projects Releases Wiki Activity

(misc): increase verbosity of spdlog

Browse Source
This commit is contained in:
Morgan Funtowicz 2024-10-10 12:41:20 +00:00 committed by Morgan Funtowicz
parent ce0cd1fce8
commit eb13d8d1f3
1 changed files with 29 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

31
backends/trtllm/lib/backend.cpp
View File

@ -1,3 +1,4 @@
#include <cstdlib>
#include <fstream>
#include <fmt/ranges.h>
@ -8,6 +9,18 @@
#include "hardware.h"
void huggingface::tgi::backends::InitializeBackend() {
if(const auto TRTLLM_LOG_LEVEL_CSTR = std::getenv("TRTLLM_LOG_LEVEL")){
std::string log_level(TRTLLM_LOG_LEVEL_CSTR);
std::transform(log_level.begin(), log_level.end(), log_level.begin(), [](unsigned char c) {
return std::tolower(c);
});
if(log_level == "debug")
spdlog::set_level(spdlog::level::debug);
else
spdlog::set_level(spdlog::level::info);
}
SPDLOG_INFO("Initializing Backend...");
nvmlInit_v2();
initTrtLlmPlugins();
@ -91,7 +104,13 @@ huggingface::tgi::backends::TensorRtLlmBackend::TensorRtLlmBackend(
[[nodiscard("Returned number of requests needs to be consumed")]]
size_t huggingface::tgi::backends::TensorRtLlmBackend::NumResponsesReady() const {
return executor.getNumResponsesReady();
const auto numResponses = executor.getNumResponsesReady();
#ifdef NDEBUG
if(numResponses > 0) SPDLOG_INFO(FMT_STRING("Num responses ready: {:d}"), numResponses);
#endif
return numResponses;
}
[[nodiscard("Returned request id needs to be provided back to gather generated tokens")]]
@ -123,10 +142,18 @@ tle::IdType huggingface::tgi::backends::TensorRtLlmBackend::Submit(
const auto maxNewTokensChecked = static_cast<tle::SizeType32>(
std::min(maxNewTokens, static_cast<uint32_t>(maxNumTokens - tokens.size())));
#ifdef NDEBUG
SPDLOG_INFO(
FMT_STRING("Sampling config: topK={:d}, topP={:d}, temperature={:d}, repetition_penalty={:d}, frequency_penalty={:d}, seed={:d}"),
topK, topP, temperature, repetition_penalty, frequency_penalty, seed
)
SPDLOG_INFO(FMT_STRING("Asking for max_new_tokens={:d}"), maxNewTokensChecked);
#endif
const auto sampling = GetSamplingConfig(topK, topP, temperature, repetition_penalty, frequency_penalty, seed);
return executor.enqueueRequest(tle::Request{tokens, maxNewTokensChecked, true, sampling, OUTPUT_CONFIG});
}
std::vector<tle::Response> huggingface::tgi::backends::TensorRtLlmBackend::PullNewTokens() {
return std::move(executor.awaitResponses());
return executor.awaitResponses();
}