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Implementation:Triton inference server Server L0 Cuda Graph Test

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

Overview

QA test script for validating CUDA graph optimization in the Triton Inference Server.

Description

This test validates that CUDA graph capture and execution work correctly within the Triton Inference Server. CUDA graphs reduce kernel launch overhead by recording a sequence of GPU operations and replaying them with minimal CPU involvement. The script configures models with CUDA graph optimization enabled, verifies that graph capture succeeds during warmup, and confirms that inference results remain numerically correct when executed via captured graphs. It tests various graph capture scenarios including different input shapes, batch sizes, and model types. The test also validates that the server gracefully handles cases where graph capture is not possible and falls back to regular execution.

Usage

Run as part of the Triton QA test suite to validate CUDA graph optimization. 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="./cuda_graph_test.server.log"
CLIENT_LOG="./cuda_graph_test.client.log"

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 CUDA graph-enabled 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_cuda_graph/
bash test.sh

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