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Implementation:Triton inference server Server L0 Infer Test

From Leeroopedia
Knowledge Sources
Domains Testing, Inference
Last Updated 2026-02-13 17:00 GMT

Overview

QA test script for validating basic inference operations in the Triton Inference Server.

Description

This test orchestrates basic inference validation across multiple backends and model types. It exercises the core inference path by generating model repositories containing models for supported backends (TensorRT, TensorFlow, ONNX Runtime, PyTorch), starting the server, and running inference requests through both HTTP and gRPC endpoints. The script validates inference correctness by comparing output tensors against expected values for various data types (FP32, FP16, INT8, INT16, INT32, etc.), input shapes, and batch sizes. It also tests multi-model concurrent inference, optional inputs, output tensor subsetting, and ensures consistent results across repeated inferences. This serves as the foundational inference smoke test for the Triton server.

Usage

Run as part of the Triton QA test suite to validate basic inference. Typically executed in CI/CD pipelines within the Triton Docker container environment.

Code Reference

Source Location

Signature

#!/bin/bash
# Key functions and variables
source ../common/util.sh
SERVER=/opt/tritonserver/bin/tritonserver
SERVER_ARGS="--model-repository=${MODELDIR}"
SERVER_LOG="./infer_test.server.log"
CLIENT_LOG="./infer_test.client.log"
INFER_TEST="./infer_test.py"

Import

# Sources common utilities
source ../common/util.sh

I/O Contract

Inputs

Name Type Required Description
DATADIR env var No Directory containing test data
TRITON_DIR env var No Path to Triton server installation
MODEL_REPO directory Yes Generated test model repository with models for multiple backends

Outputs

Name Type Description
exit code int 0 on success, 1 on failure
test logs files Server logs and test output in test directory

Usage Examples

Running the Test

cd qa/L0_infer/
bash test.sh

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