PyTorch model logprob inconsistencies under high gRPC traffic
Problem Description During a sustained load test of a Docker‑containerized language model serving endpoint, the logprob values returned by the PyTorch model became inconsistent. Under low traffic the model produced deterministic log‑softmax outputs, but at peak rates (≈200 RPS) the following symptoms were observed: Log probabilities drifted by up to 0.12 nats between identical inputs. Intermittent errors … Read more