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Implementation:Triton inference server Server L0 Backend Python Test

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

Overview

QA test script for validating the Python backend in the Triton Inference Server.

Description

This is the main test runner for Python backend tests. It validates the full lifecycle of Python-based models including model loading, inference execution, error handling, and custom Python model behaviors. The script orchestrates multiple sub-tests covering Python backend features such as auto-complete configuration, custom execution, request cancellation, model instance management, input/output tensor handling, and BLS (Business Logic Scripting) pipelines. Each sub-test prepares a dedicated model repository, starts the server, runs the corresponding Python test client, and checks for expected results.

Usage

Run as part of the Triton QA test suite to validate the Python backend. 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=${MODELDIR} --backend-directory=${BACKEND_DIR}"
SERVER_LOG="./python_backend_test.server.log"
CLIENT_LOG="./python_backend_test.client.log"
TEST_PY="./python_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 Python backend models

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_backend_python/
bash test.sh

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