CHANGES
=======

0.1.0
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* chore: bump version to 0.1.0
* fix: compiler integer comparison warning
* docs: updated performance measures for averaging
* perf: enhancements to uint16, float32, and float64 downsample\_with\_averaging
* perf: ~25% faster downsample with averaging
* docs: add link to article on sparse downsampling
* docs: make sure PyPI License is GPL v3+ (currently None)
* fix: downsample\_with\_striding should support num\_mips
* docs: add installation instructions

0.0.1
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* chore: add \_\_version\_\_ = 0.0.1
* docs: add Travis testing badge
* test: add travis CI integration
* test: compare accelerated mode pooling and countless mode pooling
* test: add simple test to compare averaging implementations
* fix: if to elif
* fix: accelerated mode pooling was preempting stippled
* fix: slight discrepency between numpy countless2d and the Cython version
* test: adding automated testing (and solving issues!)
* docs: snarky comment
* docs: developmental PyPI release
* fix: slow path in downsample\_with\_averaging
* feat: workable downsample\_with\_averaging function
* feat: added float, double, uint16 support for accelerated avg pooling
* refactor: made c++ accumulation code more data type flexible
* feat: added 4d support for accelerated 2x2 avg pooling
* refactor: remove unused variables
* feat: accelerated 2x2x1 downsample with averaging working
* Initial commit
