v3.3.2

The source code with submodules can be downloaded directly from the following link:
http://arrayfire.com/arrayfire_source/arrayfire-full-3.3.2.tar.bz2

Improvements

• Family of [Sort](ref sort_mat) functions now support
  higher order dimensions.
• Improved performance of batched sort on dim 0 for all [Sort](ref sort_mat) functions.
• [Median](ref stat_func_median) now also supports higher order dimensions.

Bug Fixes

• Fixes to error handling in C++ API for binary functions.
• Fixes to external OpenCL context management.
• Fixes to JPEG_GREYSCALE for FreeImage versions <= 3.154.
• Fixed for non-float inputs to \ref af::rgb2gray().

Build

• Disable CPU Async when building with GCC < 4.8.4.
• Add option to disable CPUID from CMake.
• More verbose message when CUDA Compute Detection fails.
• Print message to use CUDA library stub
  from CUDA Toolkit if CUDA Library is not found from default paths.
• Build Fixes on Windows.
  • For compiling tests our of source.
  • For compiling ArrayFire with static MKL.
• Exclude <sys/sysctl.h> when building on GNU Hurd.
• Add manual CMake options to build DEB and RPM packages.

Documentation

• Fixed documentation for \ref af::replace().
• Fixed images in [Using on OSX](ref using_on_osx) page.

Installer

• Linux x64 installers will now be compiled with GCC 4.9.2.
• OSX installer gives better error messages on brew failures and
  now includes link to Fixing OS X Installer Failures
  for brew installation failures.

v3.3.1

The source code with submodules can be downloaded directly from the following link:
http://arrayfire.com/arrayfire_source/arrayfire-full-3.3.1.tar.bz2

Bug Fixes

• Fixes to \ref af::array::device()
  • CPU Backend: evaluate arrays
    before returning pointer with asynchronous calls in CPU backend.
  • OpenCL Backend: fix segfaults
    when requested for device pointers on empty arrays.
• Fixed \ref af::array::operator%() from using rem to mod.
• Fixed array destruction
  when backends are switched in Unified API.
• Fixed indexing after
  \ref af::moddims() is called.
• Fixes FFT calls for CUDA and OpenCL backends when used on
  multiple devices.
• Fixed unresolved external
  for some functions from \ref af::array::array_proxy class.

Build

• CMake compiles files in alphabetical order.
• CMake fixes for BLAS and LAPACK on some Linux distributions.

Improvements

• Fixed OpenCL FFT performance regression.
• \ref af::array::device() on OpenCL backend returns
  cl_mem instead of (void*)cl::Buffer*.
• In Unified backend, load versioned libraries
  at runtime.

Documentation

• Reorganized, cleaner README file.
• Replaced non-free lena image in assets with free-to-distribute lena image.

v3.3.0

The source code with submodules can be downloaded directly from the following link:
http://arrayfire.com/arrayfire_source/arrayfire-full-3.3.0.tar.bz2

Major Updates

• CPU backend supports aysnchronous execution.
• Performance improvements to OpenCL BLAS and FFT functions.
• Improved performance of memory manager.
• Improvements to visualization functions.
• Improved sorted order for OpenCL devices.
• Integration with external OpenCL projects.

Features

• \ref af::getActiveBackend(): Returns the current backend being used.
• Scatter plot added to graphics.
• \ref af::transform() now supports perspective transformation matrices.
• \ref af::infoString(): Returns af::info() as a string.
• \ref af::printMemInfo(): Print a table showing information about buffer from the memory manager
  • The \ref AF_MEM_INFO macro prints numbers and total sizes of all buffers (requires including af/macros.h)
• \ref af::allocHost(): Allocates memory on host.
• \ref af::freeHost(): Frees host side memory allocated by arrayfire.
• OpenCL functions can now use CPU implementation.
  • Currently limited to Unified Memory devices (CPU and On-board Graphics).
  • Functions: af::matmul() and all [LAPACK](ref linalg_mat) functions.
  • Takes advantage of optimized libraries such as MKL without doing memory copies.
  • Use the environment variable AF_OPENCL_CPU_OFFLOAD=1 to take advantage of this feature.
• Functions specific to OpenCL backend.
  • \ref afcl::addDevice(): Adds an external device and context to ArrayFire's device manager.
  • \ref afcl::deleteDevice(): Removes an external device and context from ArrayFire's device manager.
  • \ref afcl::setDevice(): Sets an external device and context from ArrayFire's device manager.
  • \ref afcl::getDeviceType(): Gets the device type of the current device.
  • \ref afcl::getPlatform(): Gets the platform of the current device.
• \ref af::createStridedArray() allows array creation user-defined strides and device pointer.
• Expose functions that provide information
  about memory layout of Arrays.
  • \ref af::getStrides(): Gets the strides for each dimension of the array.
  • \ref af::getOffset(): Gets the offsets for each dimension of the array.
  • \ref af::getRawPtr(): Gets raw pointer to the location of the array on device.
  • \ref af::isLinear(): Returns true if all elements in the array are contiguous.
  • \ref af::isOwner(): Returns true if the array owns the raw pointer, false if it is a sub-array.
  • \ref af::getStrides(): Gets the strides of the array.
  • \ref af::getStrides(): Gets the strides of the array.
• \ref af::getDeviceId(): Gets the device id on which the array resides.
• \ref af::isImageIOAvailable(): Returns true if ArrayFire was compiled with Freeimage enabled
• \ref af::isLAPACKAvailable(): Returns true if ArrayFire was compiled with LAPACK functions enabled

Bug Fixes

• Fixed errors when using 3D / 4D arrays in select and replace
• Fixed JIT errors on AMD devices for OpenCL backend.
• Fixed imageio bugs for 16 bit images.
• Fixed bugs when loading and storing images natively.
• Fixed bug in FFT for NVIDIA GPUs when using OpenCL backend.
• Fixed bug when using external context with OpenCL backend.
• Fixed memory leak in \ref af_median_all().
• Fixed memory leaks and performance in graphics functions.
• Fixed bugs when indexing followed by moddims.
• \ref af_get_revision() now returns actual commit rather than AF_REVISION.
• Fixed releasing arrays when using different backends.
• OS X OpenCL: [LAPACK functions](ref linalg_mat) on CPU devices use OpenCL offload (previously threw errors).
• Add support for 32-bit integer image types in Image IO.
• Fixed set operations for row vectors
• Fixed bugs in \ref af::meanShift() and af::orb().

Improvements

• Optionally offload BLAS and LAPACK functions to CPU implementations to improve performance.
• Performance improvements to the memory manager.
• Error messages are now more detailed.
• Improved sorted order for OpenCL devices.
• JIT heuristics can now be tweaked using environment variables. See
  [Environment Variables](ref configuring_environment) tutorial.
• Add BUILD_<BACKEND> options to examples and tests
  to toggle backends when compiling independently.

Examples

• New visualization [example simulating gravity](ref graphics/gravity_sim.cpp).

Build

• Support for Intel icc compiler
• Support to compile with Intel MKL as a BLAS and LAPACK provider
• Tests are now available for building as standalone (like examples)
• Tests can now be built as a single file for each backend
• Better handling of NONFREE build options
• Searching for GLEW in CMake default paths
• Fixes for compiling with MKL on OSX.

Installers

• Improvements to OSX Installer
  • CMake config files are now installed with libraries
  • Independent options for installing examples and documentation components

Deprecations

• af_lock_device_arr is now deprecated to be removed in v4.0.0. Use \ref af_lock_array() instead.
• af_unlock_device_arr is now deprecated to be removed in v4.0.0. use \ref af_unlock_array() instead.

Documentation

• Fixes to documentation for \ref matchTemplate().
• Improved documentation for deviceInfo.
• Fixes to documentation for \ref exp().

Known Issues

• Solve OpenCL fails on NVIDIA Maxwell devices
  for f32 and c32 when M > N and K % 4 is 1 or 2.

Release Notes {#releasenotes}

The source code with submodules can be downloaded directly from the following link:
http://arrayfire.com/arrayfire_source/arrayfire-full-3.2.2.tar.bz2

v3.2.2

Bug Fixes

• Fixed memory leak in
  CUDA Random number generators
• Fixed bug in
  af::select() and af::replace() tests
• Fixed exception
  thrown when printing empty arrays with af::print()
• Fixed bug in CPU
  random number generation. Changed the generator to
  mt19937
• Fixed exception handling (internal)
  • Exceptions
    now show function, short file name and line number
  • Added AF_RETURN_ERROR
    macro to handle returning errors.
  • Removed THROW macro, and renamed AF_THROW_MSG to AF_THROW_ERR.
• Fixed bug
  in \ref af::identity() that may have affected CUDA Compute 5.2 cards

Build

• Added a MIN_BUILD_TIME
  option to build with minimum optimization compiler flags resulting in faster
  compile times
• Fixed issue in CBLAS
  detection by CMake
• Fixed tests failing for builds without optional components
  FreeImage and
  LAPACK
• Added a test
  for unified backend
• Only info and backend tests
  are now built for unified backend
• Sort tests
  execution alphabetically
• Fixed compilation flags and errors in tests and examples
• Moved AF_REVISION and AF_COMPILER_STR
  into src/backend. This is because as revision is updated with every commit,
  entire ArrayFire would have to be rebuilt in the old code.
  • v3.3 will add a af_get_revision() function to get the revision string.
• Clean up examples
  • Remove getchar for Windows (this will be handled by the installer)
  • Other miscellaneous code cleanup
  • Fixed bug in [plot3.cpp](ref graphics/plot3.cpp) example
• Rename clBLAS/clFFT
  external project suffix from external -> ext
• Add OpenBLAS as a
  lapack/lapacke alternative

Improvements

• Added \ref AF_MEM_INFO macro to print memory info from ArrayFire's memory
  manager (cross issue)
• Added additional paths
  for searching for libaf* for Unified backend on unix-style OS.
  • Note: This still requires dependencies such as forge, CUDA, NVVM etc to be
    in LD_LIBRARY_PATH as described in [Unified Backend](ref unifiedbackend)
• Create streams
  for devices only when required in CUDA Backend

Documentation

• Hide scrollbars
  appearing for pre and code styles
• Fix documentation for af::replace
• Add code sample
  for converting the output of af::getAvailableBackends() into bools
• Minor fixes in documentation

Release Notes {#releasenotes}

The source code with submodules can be downloaded directly from the following link:
http://arrayfire.com/arrayfire_source/arrayfire-full-3.2.1.tar.bz2

v3.2.1

Bug Fixes

• Fixed bug in homography()
• Fixed bug in behavior
  of af::array::device()
• Fixed bug when
  indexing with span along trailing dimension
• Fixed bug when
  indexing in [GFor](ref gfor)
• Fixed bug in CPU
  information fetching
• Fixed compilation bug
  in unified backend caused by missing link library
• Add missing symbol for
  af_draw_surface()

Build

• Tests can now be used as a standalone project
  • Tests can now be built using pre-compiled libraries
  • Similar to how the examples are built
• The install target now installs the examples source irrespective of the
  BUILD_EXAMPLES value
  • Examples are not built if BUILD_EXAMPLES is off

Documentation

• HTML documentation is now built and installed
  in docs/html
• Added documentation for \ref af::seq class
• Updated Matrix Manipulation tutorial
• Examples list is now generated by CMake
  • Examples are now listed as dir/example.cpp
• Removed dummy groups used for indexing documentation (affcted doxygen < 1.8.9)

Release Notes

The source code with submodules can be downloaded directly from the following link:
http://arrayfire.com/arrayfire_source/arrayfire-full-3.2.0.tar.bz2

Major Updates

• Added Unified backend
  • Allows switching backends at runtime
  • Read [Unified Backend](ref unifiedbackend) for more.
• Support for 16-bit integers (\ref s16 and \ref u16)
  • All functions that support 32-bit interger types (\ref s32, \ref u32),
    now also support 16-bit interger types

Function Additions

• Unified Backend
  • \ref setBackend() - Sets a backend as active
  • \ref getBackendCount() - Gets the number of backends available for use
  • \ref getAvailableBackends() - Returns information about available backends
  • \ref getBackendId() - Gets the backend enum for an array
• Vision
  • \ref homography() - Homography estimation
  • \ref gloh() - GLOH Descriptor for SIFT
• Image Processing
  • \ref loadImageNative() - Load an image as native data without modification
  • \ref saveImageNative() - Save an image without modifying data or type
• Graphics
  • \ref af::Window::plot3() - 3-dimensional line plot
  • \ref af::Window::surface() - 3-dimensional curve plot
• Indexing
  • \ref af_create_indexers()
  • \ref af_set_array_indexer()
  • \ref af_set_seq_indexer()
  • \ref af_set_seq_param_indexer()
  • \ref af_release_indexers()
• CUDA Backend Specific
  • \ref setNativeId() - Set the CUDA device with given native id as active
    • ArrayFire uses a modified order for devices. The native id for a
      device can be retreived using nvidia-smi
• OpenCL Backend Specific
  • \ref setDeviceId() - Set the OpenCL device using the clDeviceId

Other Improvements

• Added \ref c32 and \ref c64 support for \ref isNaN(), \ref isInf() and \ref iszero()
• Added CPU information for x86 and x86_64 architectures in CPU backend's \ref info()
• Batch support for \ref approx1() and \ref approx2()
  • Now can be used with gfor as well
• Added \ref s64 and \ref u64 support to:
  • \ref sort() (along with sort index and sort by key)
  • \ref setUnique(), \ref setUnion(), \ref setIntersect()
  • \ref convolve() and \ref fftConvolve()
  • \ref histogram() and \ref histEqual()
  • \ref lookup()
  • \ref mean()
• Added \ref AF_MSG macro

Build Improvements

• Submodules update is now automatically called if not cloned recursively
• Fixes for compilation on Visual Studio 2015
• Option to use fallback to CPU LAPACK
  for linear algebra functions in case of CUDA 6.5 or older versions.

Bug Fixes

• Fixed memory leak in \ref susan()
• Fixed failing test
  in \ref lower() and \ref upper() for CUDA compute 53
• Fixed bug in CUDA for indexing out of bounds
• Fixed dims check in \ref iota()
• Fixed out-of-bounds access in \ref sift()
• Fixed memory allocation in \ref fast() OpenCL
• Fixed memory leak in image I/O functions
• \ref dog() now returns float-point type arrays

Documentation Updates

• Improved tutorials documentation
  • More detailed Using on [Linux](ref using_on_windows), [OSX](ref using_on_windows),
    [Windows](ref using_on_windows) pages.
• Added return type information for functions that return different type
  arrays

New Examples

• Graphics
  • [Plot3](ref plot3.cpp)
  • [Surface](ref surface.cpp)
• [Shallow Water Equation](ref swe.cpp)
• [Basic](ref basic.cpp) as a Unified backend example

Installers

• All installers now include the Unified backend and corresponding CMake files
• Visual Studio projects include Unified in the Platform Configurations
• Added installer for Jetson TX1
• SIFT and GLOH do not ship with the installers as SIFT is protected by
  patents that do not allow commercial distribution without licensing.

The source code with submodules can be downloaded directly from the following link:
http://arrayfire.com/arrayfire_source/arrayfire-full-3.1.3.tar.bz2

Bug Fixes

• Fixed bugs in various OpenCL kernels without offset additions
• Remove ARCH_32 and ARCH_64 flags
• Fix missing symbols when freeimage is not found
• Use CUDA driver version for Windows
• Improvements to SIFT
• Fixed memory leak in median
• Fixes for Windows compilation when not using MKL #1047
• Fixed for building without LAPACK

Other

• Documentation: Fixed documentation for select and replace
• Documentation: Fixed documentation for af_isnan

The source code with submodules can be downloaded directly from the following link:
http://arrayfire.com/arrayfire_source/arrayfire-full-3.1.2.tar.bz2

Bug Fixes

• Fixed bug in assign that was causing test to fail
• Fixed bug in convolve. Frequency condition now depends on kernel size only
• Fixed bug in indexed reductions for complex type in OpenCL backend
• Fixed bug in kernel name generation in ireduce for OpenCL backend
• Fixed non-linear to linear indices in ireduce
• Fixed bug in reductions for small arrays
• Fixed bug in histogram for indexed arrays
• Fixed compiler error CPUID for non-compliant devices
• Fixed failing tests on i386 platforms
• Add missing AFAPI

Other

• Documentation: Added missing examples and other corrections
• Documentation: Fixed warnings in documentation building
• Installers: Send error messages to log file in OSX Installer

The source code with submodules can be downloaded directly from the following link:
http://arrayfire.com/arrayfire_source/arrayfire-full-3.1.1.tar.bz2

Installers

• CUDA backend now depends on CUDA 7.5 toolkit
• OpenCL backend now require OpenCL 1.2 or greater

Bug Fixes

• Fixed bug in reductions after indexing
• Fixed bug in indexing when using reverse indices

Build

• cmake now includes PKG_CONFIG in the search path for CBLAS and LAPACKE libraries
• heston_model.cpp example now builds with the default ArrayFire cmake files after installation

Other

• Fixed bug in image_editing.cpp

The source code with submodules can be downloaded directly from the following link:
http://arrayfire.com/arrayfire_source/arrayfire-full-3.1.0.tar.bz2

Release Notes {#releasenotes}

v3.1.0

Function Additions

• Computer Vision Functions
  • nearestNeighbour() - Nearest Neighbour with SAD, SSD and SHD distances
  • harris() - Harris Corner Detector
  • susan() - Susan Corner Detector
  • sift() - Scale Invariant Feature Transform (SIFT)
    • Method and apparatus for identifying scale invariant features"
      "in an image and use of same for locating an object in an image," David"
      "G. Lowe, US Patent 6,711,293 (March 23, 2004). Provisional application"
      "filed March 8, 1999. Asignee: The University of British Columbia. For"
      "further details, contact David Lowe ([email protected]) or the"
      "University-Industry Liaison Office of the University of British"
      "Columbia.")
    • SIFT is available for compiling but does not ship with ArrayFire
      hosted installers/pre-built libraries
  • dog() - Difference of Gaussians
• Image Processing Functions
  • ycbcr2rgb() and rgb2ycbcr() - RGB <->YCbCr color space conversion
  • wrap() and unwrap() Wrap and Unwrap
  • sat() - Summed Area Tables
  • loadImageMem() and saveImageMem() - Load and Save images to/from memory
    • af_image_format - Added imageFormat (af_image_format) enum
• Array & Data Handling
  • copy() - Copy
  • array::lock() and array::unlock() - Lock and Unlock
  • select() and replace() - Select and Replace
  • Get array reference count (af_get_data_ref_count)
• Signal Processing
  • fftInPlace() - 1D in place FFT
  • fft2InPlace() - 2D in place FFT
  • fft3InPlace() - 3D in place FFT
  • ifftInPlace() - 1D in place Inverse FFT
  • ifft2InPlace() - 2D in place Inverse FFT
  • ifft3InPlace() - 3D in place Inverse FFT
  • fftR2C() - Real to complex FFT
  • fftC2R() - Complex to Real FFT
• Linear Algebra
  • svd() and svdInPlace() - Singular Value Decomposition
• Other operations
  • sigmoid() - Sigmoid
  • Sum (with option to replace NaN values)
  • Product (with option to replace NaN values)
• Graphics
  • Window::setSize() - Window resizing using Forge API
• Utility
  • Allow users to set print precision (print, af_print_array_gen)
  • saveArray() and readArray() - Stream arrays to binary files
  • toString() - toString function returns the array and data as a string
• CUDA specific functionality
  • getStream() - Returns default CUDA stream ArrayFire uses for the current device
  • getNativeId() - Returns native id of the CUDA device

Improvements

• dot
  • Allow complex inputs with conjugate option
• AF_INTERP_LOWER interpolation
  • For resize, rotate and transform based functions
• 64-bit integer support
  • For reductions, random, iota, range, diff1, diff2, accum, join, shift
    and tile
• convolve
  • Support for non-overlapping batched convolutions
• Complex Arrays
  • Fix binary ops on complex inputs of mixed types
  • Complex type support for exp
• tile
  • Performance improvements by using JIT when possible.
• Add AF_API_VERSION macro
  • Allows disabling of API to maintain consistency with previous versions
• Other Performance Improvements
  • Use reference counting to reduce unnecessary copies
• CPU Backend
  • Device properties for CPU
  • Improved performance when all buffers are indexed linearly
• CUDA Backend
  • Use streams in CUDA (no longer using default stream)
  • Using async cudaMem ops
  • Add 64-bit integer support for JIT functions
  • Performance improvements for CUDA JIT for non-linear 3D and 4D arrays
• OpenCL Backend
  • Improve compilation times for OpenCL backend
  • Performance improvements for non-linear JIT kernels on OpenCL
  • Improved shared memory load/store in many OpenCL kernels (PR 933)
  • Using cl.hpp v1.2.7

Bug Fixes

• Common
  • Fix compatibility of c32/c64 arrays when operating with scalars
  • Fix median for all values of an array
  • Fix double free issue when indexing (30cbbc7)
  • Fix bug in rank
  • Fix default values for scale throwing exception
  • Fix conjg raising exception on real input
  • Fix bug when using conjugate transpose for vector input
  • Fix issue with const input for array_proxy::get()
• CPU Backend
  • Fix randn generating same sequence for multiple calls
  • Fix setSeed for randu
  • Fix casting to and from complex
  • Check NULL values when allocating memory
  • Fix offset issue for CPU element-wise operations

The source code with submodules can be downloaded directly from the following link:
http://arrayfire.com/arrayfire_source/arrayfire-full-3.1.0.tar.bz2

New Examples

• Match Template
• Susan
• Heston Model (contributed by Michael Nowotny)

Distribution Changes

• Fixed automatic detection of ArrayFire when using with CMake in the Windows
  Installer
• Compiling ArrayFire with FreeImage as a static library for Linux x86
  installers

Known Issues

• OpenBlas can cause issues with QR factorization in CPU backend
• FreeImage older than 3.10 can cause issues with loadImageMem and
  saveImageMem
• OpenCL backend issues on OSX
  • AMD GPUs not supported because of driver issues
  • Intel CPUs not supported
  • Linear algebra functions do not work on Intel GPUs.
• Stability and correctness issues with open source OpenCL implementations such as Beignet, GalliumCompute.

The source code with submodules can be downloaded directly from the following link:
http://arrayfire.com/arrayfire_source/arrayfire-full-3.0.2.tar.bz2

Bug Fixes

• Added missing symbols from the compatible API
• Fixed a bug affecting corner rows and elements in grad()
• Fixed linear interpolation bugs affecting large images in the following:
  • approx1()
  • approx2()
  • resize()
  • rotate()
  • scale()
  • skew()
  • transform()

Documentation

• Added missing documentation for constant()
• Added missing documentation for array::scalar()
• Added supported input types for functions in arith.h

The source code with submodules can be downloaded directly from the following link:
http://arrayfire.com/arrayfire_source/arrayfire-full-3.0.1.tar.bz2

Bug Fixes

• Fixed header to work in Visual Studio 2015
• Fixed a bug in batched mode for FFT based convolutions
• Fixed graphics issues on OSX
• Fixed various bugs in visualization functions

Other improvements

• Improved fractal example
• New OSX installer
• Improved Windows installer
  • Default install path has been changed
• Fixed bug in machine learning examples

v3.0.0

The source code with submodules can be downloaded directly from the following link:
http://arrayfire.com/arrayfire_source/arrayfire-full-3.0.0.tar.bz2

Major Updates

• ArrayFire is now open source
• Major changes to the visualization library
• Introducing handle based C API
• New backend: CPU fallback available for systems without GPUs
• Dense linear algebra functions available for all backends
• Support for 64 bit integers

Function Additions

• Data generation functions
  • range()
  • iota()
• Computer Vision Algorithms
  • features()
    • A data structure to hold features
  • fast()
    • FAST feature detector
  • orb()
    • ORB A feature descriptor extractor
• Image Processing
  • convolve1(), convolve2(), convolve3()
    • Specialized versions of convolve() to enable better batch support
  • fftconvolve1(), fftconvolve2(), fftconvolve3()
    • Convolutions in frequency domain to support larger kernel sizes
  • dft(), idft()
    • Unified functions for calling multi dimensional ffts.
  • matchTemplate()
    • Match a kernel in an image
  • sobel()
    • Get sobel gradients of an image
  • rgb2hsv(), hsv2rgb(), rgb2gray(), gray2rgb()
    • Explicit function calls to colorspace conversions
  • erode3d(), dilate3d()
    • Explicit erode and dilate calls for image morphing
• Linear Algebra
  • matmulNT(), matmulTN(), matmulTT()
    • Specialized versions of matmul() for transposed inputs
  • luInPlace(), choleskyInPlace(), qrInPlace()
    • In place factorizations to improve memory requirements
  • solveLU()
    • Specialized solve routines to improve performance
  • OpenCL backend now Linear Algebra functions
• Other functions
  • lookup() - lookup indices from a table
  • batchFunc() - helper function to perform batch operations
• Visualization functions
  • Support for multiple windows
  • window.hist()
    • Visualize the output of the histogram
• C API
  • Removed old pointer based C API
  • Introducing handle base C API
  • Just In Time compilation available in C API
  • C API has feature parity with C++ API
  • bessel functions removed
  • cross product functions removed
  • Kronecker product functions removed

Performance Improvements

• Improvements across the board for OpenCL backend

API Changes

• print is now af_print()
• seq(): The step parameter is now the third input
  • seq(start, step, end) changed to seq(start, end, step)
• gfor(): The iterator now needs to be seq()

Deprecated Function APIs

Deprecated APIs are in af/compatible.h

• devicecount() changed to getDeviceCount()
• deviceset() changed to setDevice()
• deviceget() changed to getDevice()
• loadimage() changed to loadImage()
• saveimage() changed to saveImage()
• gaussiankernel() changed to gaussianKernel()
• alltrue() changed to allTrue()
• anytrue() changed to anyTrue()
• setunique() changed to setUnique()
• setunion() changed to setUnion()
• setintersect() changed to setIntersect()
• histequal() changed to histEqual()
• colorspace() changed to colorSpace()
• filter() deprecated. Use convolve1() and convolve2()
• mul() changed to product()
• deviceprop() changed to deviceProp()

Known Issues

• OpenCL backend issues on OSX
  • AMD GPUs not supported because of driver issues
  • Intel CPUs not supported
  • Linear algebra functions do not work on Intel GPUs.
• Stability and correctness issues with open source OpenCL implementations such as Beignet, GalliumCompute.