Error Opening Engine File on Nvidia Jetson Orin Nano Dev Board

Issue Overview

Users of the Nvidia Jetson Orin Nano Dev Board are encountering an issue when running the jetson_benchmark application, specifically with the command:

sudo python3 benchmark.py --model_name inception_v4 --csv_file_path home/orin_nano/jetson_benchmarks/benchmark_csv/orin-nano-benchmarks.csv --model_dir /home/orin_nano/jetson_benchmarks/models/ --jetson_clocks

The primary symptom reported is receiving a "0 FPS" output along with an error message stating "Error opening engine file." This issue occurs during the benchmarking process, which is expected to provide performance metrics for the specified model.

Specific Symptoms

• Error Message: "Error opening engine file"
• Performance Output: 0 FPS reported
• Context: Issue arises during the execution of benchmarking commands.

Relevant Specifications

• Hardware: Nvidia Jetson Orin Nano (4GB version)
• Software: Python environment with jetson_benchmark installed.

Frequency and Impact

This issue appears to be consistent among multiple users, significantly impacting their ability to utilize the benchmarking tool effectively. The inability to obtain performance metrics can hinder development and optimization efforts for applications running on the Jetson platform.

Possible Causes

• TensorRT Engine Not Found: The error indicates that the TensorRT engine file required for the model is missing or not accessible.

• Incomplete Model Downloads: Users may not have successfully downloaded all necessary model files, which can prevent the benchmark from executing properly.

• Configuration Issues: Incorrect paths or parameters in the command could lead to failures in locating necessary files.

• Permission Issues: Running commands without appropriate permissions might restrict access to required files or directories.

Troubleshooting Steps, Solutions & Fixes

1. Verify Model Files:

   • Check that all required models are present in the specified directory. Run:

     $ ll /home/orin_nano/jetson_benchmarks/models/
     

   • Ensure that the output lists all necessary model files, including inception_v4.prototxt.

2. Download Missing Models:

   • If any models are missing, download them using:

     $ python3 utils/download_models.py --all --csv_file_path benchmark_csv/orin-nano-benchmarks.csv --save_dir $(pwd)/models
     

3. Check Permissions:

   • Ensure that you have appropriate permissions to access model files. If necessary, change ownership or permissions:

     $ sudo chown -R $(whoami):$(whoami) /home/orin_nano/jetson_benchmarks/models/
     

4. Run Benchmark Command Again:

   • After verifying models and permissions, rerun the benchmark command:

     $ sudo python3 benchmark.py --model_name inception_v4 --csv_file_path /home/orin_nano/jetson_benchmarks/benchmark_csv/orin-nano-benchmarks.csv --model_dir /home/orin_nano/jetson_benchmarks/models/ --jetson_clocks
     

5. Use Alternative Command Structure:

   • Some users found success with a slightly modified command structure. Try running:

     $ sudo python3 benchmark.py --all --csv_file_path /home/orin_nano/jetson_benchmarks/benchmark_csv/orin-nano-benchmarks.csv --model_dir $(pwd)/models --jetson_clocks
     

6. Check for Software Updates:

   • Ensure that your Jetson software stack is up to date. Follow NVIDIA’s guidelines for updating drivers and firmware.

7. Consult Documentation and Community Resources:

   • Refer to the official NVIDIA Jetson Benchmark GitHub page for setup instructions and troubleshooting tips.

8. Testing Different Models:

   • If issues persist, test with different models to see if the problem is specific to inception_v4 or affects all benchmarks.

9. Close Other Applications:

   • Ensure no other applications are utilizing GPU resources during benchmarking to avoid conflicts.

By following these steps, users should be able to diagnose and potentially resolve the issue of receiving a "0 FPS" output alongside an "Error opening engine file" message when running benchmarks on their Nvidia Jetson Orin Nano Dev Board.