Test Guide

CPU-Friendly Unit Tests

Use the CPU-friendly UT entrypoint first when you want coverage output and test artifacts without relying on the full NPU runtime stack.

python -m pip install -r requirements.txt
python -m pip install -r requirements-test.txt
bash tests/run_UT_test.sh

Artifacts are generated under tests/UT/, including:

• run_UT.log
• final.xml
• coverage.xml
• htmlcov/

The repository also provides tests/scripts/check_coverage.py for CI coverage gating on newly added Python files.

Full Test Entry

When the Ascend/NPU runtime stack is available, run the wrapper script for the full test entry:

bash tests/run_test.sh --all

Available options:

• --cpu_only
• --npu_only
• --all

LA Operator Accuracy Test

This section describes how to run LA operator accuracy verification in the MindIE SD repository.

1. If needed, uninstall the currently installed MindIE SD package first:

   pip uninstall mindiesd
   

2. Update tests/plugin/la_acc_prof.py, choose Option 1 or Option 2, and load either test_la.csv or enumerated_cases.csv to verify LA accuracy under the required shapes.

   • ./tests/plugin/test_la.csv: common input shapes used by SD models
   • enumerated_cases.csv: enumerated shape combinations

3. Run the script:

   cd tests
   python plugin/la_acc_prof.py
   

After the run, result files are generated in the repository root and can be used to inspect similarity between LA and FAScore outputs.

Common Exceptions

When using MindIE SD for inference, users are responsible for the safety of model files such as weights, configuration files, and model code. Common exceptions include:

• If default model configuration values are changed during initialization, interfaces may be affected; excessively large weights or configuration values may trigger out-of-memory errors such as RuntimeError: NPU out of memory. Tried to allocate xxx GiB..
• Large tensor shapes during inference may also trigger similar out-of-memory errors.
• Invalid input or environment mismatch may raise exceptions that should be handled by upper-layer services.

Exception Type	Description
ZeroDivisionError	Division by zero.
ValueError	Invalid parameter value.