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First create a parameterizable test-case with self-checking (similar to test_perf.cu) and then write a set of tests that constitute an acceptance test for the software.
The features tested should include basically all features:
- Normal histograms (atomic_inc)
- Scalar histograms (atomic_add)
- Generalized histograms (generic - find min/max, etc - odd output types)
- All bin ranges (0 to 16000 - prefer at least one test for each range)
- Multiple input-index ranges (0 to ... )
- Multiple results per input
- Streams
- Accumulating on top previous results
- Result-histograms in both CPU and GPU memory
- User-given temporary arrays
- At least one test with floating point outputs - careful with automatic checking
- ND-input-indices (if/when implemented -- see Support for Nd input indices)
- Ignore keys (if/when implemented -- see Support for ignoring/discarding input keys)
- Large input-indices and unsigned indices (See Support for large input-index ranges)
The commit procedure could be something like:
- Run automated acceptance tests -- all must pass (or existing issue preventing)
- Run performance tests -- No performance regressions allowed (unless to fix a major bug)
- Run test_minimal.cu
- Compile all tests in project
- Repeat for all architectures
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