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CHANGELOG.md

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### v3.2.20151211
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- Feature parity with ArrayFire 3.2 libs
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- New computer vision functions: `sift`, `gloh`, `homography`
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- New graphics functions: `plot3`, `surface`
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- Functions to load and save native images: `load_image_native`, `save_image_native`
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- Use `unified` backend when possible
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- Added missing functions
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- `eval`, `init`, `convolve2_separable`, `as_type` method
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- `cuda` backend specific functions
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- `opencl` backend specific functions
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- `timeit` function to benchmark arrayfire functions
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- Added new examples
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- getting_started: `intro`, `convolve`
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- benchmarks: `bench_blas`, `bench_fft`
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- financial: `monte_carlo_options`, `black_scholes`, `heston_model`
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- graphics: `fractal`, `histogram`, `plot3d`, `conway`, `surface`
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- Bug fixes
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- Fixed bug when array types were being reported incorrectly
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- Fixed various bugs in graphics functions
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### v3.1.20151111
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- Feature parity with ArrayFire 3.1 libs
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- Ability to interop with other python libs
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- Ability to extract raw device pointers
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- Load and Save arrays from disk
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- Improved `__repr__` support
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### v3.0.20150914
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- Feature parity with ArrayFire 3.0 libs
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- Ability to switch all backends
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- Supports both python2 and python3

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