azaion/ai-training
1
0
Fork 0
mirror of https://github.com/azaion/ai-training.git synced 2026-04-22 12:06:36 +00:00
Code Issues Packages Projects Releases Wiki Activity
Files
222f552a10b6cae9ad14a2501c74ccc72d9820a9
ai-training/_docs/02_document/tests/performance-tests.md
T
Oleksandr Bezdieniezhnykh a47fa135de Update configuration and test structure for improved clarity and functionality 
- Modified `.gitignore` to include test fixture data while excluding test results.
- Updated `config.yaml` to change the model from 'yolo11m.yaml' to 'yolo26m.pt'.
- Enhanced `.cursor/rules/coderule.mdc` with additional guidelines for test environment consistency and infrastructure handling.
- Revised autopilot state management in `_docs/_autopilot_state.md` to reflect current progress and tasks.
- Removed outdated augmentation tests and adjusted dataset formation tests to align with the new structure.

These changes streamline the configuration and testing processes, ensuring better organization and clarity in the project.
2026-03-28 06:11:55 +02:00

845 B
Raw Blame History

Performance Test Scenarios

PT-DSF-01: Dataset formation throughput

  • Input: 100 images + labels
  • Action: Run form_dataset(), measure wall time
  • Expected: Completes within 30 seconds
  • Traces: Restriction: Dataset formation before training

PT-ENC-01: Encryption throughput

  • Input: 10MB random bytes
  • Action: Encrypt + decrypt roundtrip, measure wall time
  • Expected: Completes within 5 seconds
  • Traces: AC: Model encryption feasible for large models

PT-INF-01: ONNX inference latency (single image)

  • Input: 1 preprocessed image + ONNX model
  • Action: Run single inference, measure wall time
  • Expected: Completes within 10 seconds on CPU (no GPU requirement for test)
  • Traces: AC: Inference capability
  • Note: Production uses GPU; CPU is slower but validates correctness
Reference in New Issue View Git Blame Copy Permalink