Engineering Logs for Troubleshooting & Debugging
Problem After a scheduled secret rotation, ONNX Runtime instances deployed in several cloud regions start failing to load model artifacts. The runtime logs contain authentication errors, and the model loading step hangs or aborts. This outage appears only after the rotation completes, despite the secret manager entries being updated correctly. Root Cause ONNX Runtime uses … Read more
Problem In a production Kubernetes deployment the ONNX Runtime inference service intermittently fails to load models stored in cloud object storage (e.g., Amazon S3, Google Cloud Storage). The failure manifests as a model‑load timeout followed by inference request timeouts. The issue appears only after a period of sustained traffic and disappears after a pod restart. … Read more
Problem – ONNX Runtime Fails to Load Model After Azure AD OAuth2 Config Change In a staging environment the ONNX Runtime instance is configured to download models from an Azure Machine Learning Model Registry that is protected by Azure AD OAuth2 client‑credentials flow. After a recent change to the Azure AD application (secret rotation, redirect‑URI … Read more
Problem Description On‑premises inference jobs that run large transformer models (e.g., BERT‑large, GPT‑2‑XL) with ONNX Runtime repeatedly fail with a timeout error such as: ORT_RUN_TIMEOUT: Inference session timed out after 300000 ms Error: Execution failed due to timeout – see OrtRunOptionsSetRunLogVerbosityLevel for details Typical symptoms observed across multiple deployments include: Job termination after exactly 5 minutes … Read more
Problem – RAG inference fails because the prompt template is malformed In a distributed micro‑services deployment the Retrieval‑Augmented Generation (RAG) service invokes an ONNX Runtime sidecar via gRPC. The sidecar builds a prompt by substituting variables (e.g., {{question}}, {{context}}) into a JSON‑encoded template before feeding the concatenated string to a transformer model. Symptoms observed in … Read more
Problem – HybridSearch Scoring Inconsistencies on GPU In a development sandbox (Ubuntu 22.04, NVIDIA A10G, ONNX Runtime 1.18, PyTorch backend) a BERT‑based reranker that uses the HybridSearch operator returns different top‑k results when the model is executed on the CPU (FP32) versus the GPU (FP16 mixed‑precision). Typical symptoms include: Top‑5 candidate order differs by up to three positions. … Read more
Problem – Empty Retrieval Results in a Development Sandbox Using ONNX Runtime for RAG In a sandbox environment the Retrieval‑Augmented Generation (RAG) pipeline is wired to an ONNX Runtime session that hosts a converted MiniLM‑v2 embedding model. When a user query is sent to the retriever the downstream FAISS (or similar) vector store returns an … Read more
Problem Description When running inference inside an ONNX Runtime Docker container the following error is observed: ONNXRuntimeException: Unable to download model from URL https://example.com/model.onnx – Connection timed out or, when using the Remote Execution Provider: grpc call failed: deadline exceeded – RemoteExecutionProvider initialization failed Typical impact includes: Model loading hangs for the configured timeout (default … Read more
ONNX Runtime RAG Reranker Timeout on Premises Server Problem Description The RAG (Retrieval‑Augmented Generation) pipeline uses an ONNX Runtime reranker model to score retrieved documents before generation. In a private data‑center deployment with limited CPU cores and memory, the reranker frequently exceeds the configured inference timeout during peak query load, returning errors such as: Error: … Read more
Problem – RAG Reranker Timeout During Inference Serving The Retrieval‑Augmented Generation (RAG) pipeline is deployed on a production inference service that uses ONNX Runtime for low‑latency model execution. Under moderate request load the reranker stage fails to finish within the allocated time budget, causing the entire request to time‑out. Typical symptoms observed in logs: Ort::Exception: … Read more