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Test Guide

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.
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