tensorrt

TensorRT invalid sampling parameters in staging environment

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Problem Description During the staging deployment of a GPU‑accelerated inference service, the TensorRT engine build fails with the following error messages: [TensorRT] Error: Invalid sampling parameters (code: 3) Failed to create optimization profile: Invalid sampling parameters for input ‘input_0’ tensorrt.tensorrt.BuilderError: Invalid sampling parameters ASSERT FAILED: validateSamplingParameters() – sampling parameters out of allowed range The failure … Read more

TensorRT inference slow after etcd cluster inconsistency

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Problem Description In a multi‑node on‑premises deployment of TensorRT (via Triton Inference Server), inference latency spiked from ~2 ms per request to 10‑20 ms and occasional errors such as Model version not found for model XYZ appeared. The issue manifested after a brief network partition that caused an etcd leader election. Typical log excerpts were: [2024-06-18 14:03:12] … Read more

TensorRT training job completion timeout with mixed precision

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Problem – TensorRT Mixed‑Precision Training Jobs Time Out In a distributed training pipeline that leverages TensorRT engine building with FP16 (or INT8‑fallback) on NVIDIA A100 GPUs, the job aborts before completing the expected number of epochs. Typical symptoms include: Training script exits with TensorRTBuilderError: Engine building timed out after 1800 seconds. CUDA watchdog messages in … Read more

TensorRT container crashes repeatedly on Ubuntu with NVIDIA GPU

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Problem Description During local development on an Ubuntu workstation equipped with an NVIDIA GPU, a TensorRT Docker container repeatedly crashes and Docker restarts it in a loop. Typical log excerpts look like one of the following: Failed to initialize TensorRT runtime: CUDA driver version is insufficient for CUDA runtime version libnvidia-ml.so.1: cannot open shared object … Read more