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Remove [Engine] and [EnginePoolManager] debug log messages

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Cleaned up verbose engine telemetry emitted to stdout/stderr and the
Windows Event Viewer. Removes logEngineEvent/logEvent calls (and their
diagnostic-only locals) across the TensorRT engine load, build, run,
multi-GPU, and pool-manager paths, plus the now-unused logEvent helper
in EnginePoolManager.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
Tuan Nghia Nguyen
2026-04-16 18:09:08 +10:00
parent 7cb0b3930e
commit 8d2db78cee
4 changed files with 4 additions and 204 deletions
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27
engines/TensorRTAPI/include/engine/EngineRunInference.inl
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@@ -486,10 +486,6 @@ bool Engine<T>::runInference(const std::vector<std::vector<cv::cuda::GpuMat>>& i
// valid here. Guard against the (unlikely) edge case where runInference is
// called before loadNetwork succeeds.
if (!m_streamInitialized || !m_inferenceStream) {
std::string errMsg = "Error: Inference stream not initialised. "
"Call loadNetwork() / buildLoadNetwork() before runInference().";
std::cout << errMsg << std::endl;
logEngineEvent("[Engine] runInference: " + errMsg, true);
return false;
}
@@ -902,20 +898,6 @@ bool Engine<T>::runInference(const std::vector<std::vector<cv::cuda::GpuMat>>& i
}
if (!success) {
ANS_DBG("TRT_Engine", "ERROR: enqueueV3 FAILED batch=%d", batchSize);
std::string debugInfo = "[Engine] runInference FAIL: enqueue returned false, batch="
+ std::to_string(batchSize)
+ ", dimsSpecified=" + (m_context->allInputDimensionsSpecified() ? "YES" : "NO");
for (size_t i = 0; i < m_IOTensorNames.size(); ++i) {
auto shape = m_context->getTensorShape(m_IOTensorNames[i].c_str());
debugInfo += ", tensor'" + m_IOTensorNames[i] + "'=[";
for (int j = 0; j < shape.nbDims; ++j) {
if (j > 0) debugInfo += ",";
debugInfo += std::to_string(shape.d[j]);
}
debugInfo += "]";
}
std::cout << debugInfo << std::endl;
logEngineEvent(debugInfo, true);
return false;
}
@@ -933,11 +915,6 @@ bool Engine<T>::runInference(const std::vector<std::vector<cv::cuda::GpuMat>>& i
m_inferenceStream);
if (copyErr != cudaSuccess) {
std::string errMsg = "[Engine] runInference FAIL: cudaMemcpyAsync output "
+ std::to_string(outputIdx) + " batch " + std::to_string(batch)
+ ": " + cudaGetErrorString(copyErr);
std::cout << errMsg << std::endl;
logEngineEvent(errMsg, true);
return false;
}
}
@@ -953,10 +930,6 @@ bool Engine<T>::runInference(const std::vector<std::vector<cv::cuda::GpuMat>>& i
if (syncErr != cudaSuccess) {
ANS_DBG("TRT_Engine", "ERROR: cudaStreamSync FAILED err=%d (%s)",
(int)syncErr, cudaGetErrorString(syncErr));
std::string errMsg = "[Engine] runInference FAIL: cudaStreamSynchronize: "
+ std::string(cudaGetErrorString(syncErr));
std::cout << errMsg << std::endl;
logEngineEvent(errMsg, true);
return false;
}
}