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  • Upgrade PyTorch (2.6.0 → 2.8.0) and TorchVision (0.21.0 → 0.23.0) for better compatibility and performance
  • Update MLRun version requirement to 1.10.0 in item.yaml
  • Bump function version to 1.4.0

Test improvements:

  • Add environment variable validation (MLRUN_DBPATH, MLRUN_ARTIFACT_PATH)
  • Add conditional test skipping based on tf2onnx availability
  • Fix cleanup function to properly remove test artifacts (model.pt, model_modules_map.json, onnx_model.onnx, etc.)
  • Update deprecated artifact_path parameter to output_path
  • Add explicit project context to all MLRun function calls
  • Fix PyTorch test artifact path construction

  - Upgrade PyTorch (2.6.0 → 2.8.0) and TorchVision (0.21.0 → 0.23.0) for
    better compatibility and performance
  - Update MLRun version requirement to 1.10.0 in item.yaml
  - Bump function version to 1.4.0

  Test improvements:
  - Add environment variable validation (MLRUN_DBPATH, MLRUN_ARTIFACT_PATH)
  - Add conditional test skipping based on tf2onnx availability
  - Fix cleanup function to properly remove test artifacts (model.pt,
    model_modules_map.json, onnx_model.onnx, etc.)
  - Update deprecated artifact_path parameter to output_path
  - Add explicit project context to all MLRun function calls
  - Fix PyTorch test artifact path construction
@Eyal-Danieli Eyal-Danieli requested a review from guy1992l January 20, 2026 14:22
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