ArrayFire v3.8.rc Release Notes
Release Date: 2020-10-05 // over 4 years ago-
🚀 v3.8.0 Release Candidate
🆕 New Functions
- Ragged max reduction - #2786
- 🎉 Initialization list constructor for array class - #2829 , #2987
- 🆕 New API for following statistics function: cov, var and stdev - #2986
- 👍 Bit-wise operator support for array and C API (af_bitnot) - #2865
- allocV2 and freeV2 which return cl_mem on OpenCL backend - #2911
- 🚚 Move constructor and move assignment operator for Dim4 class - #2946
👌 Improvements
- ➕ Add f16 support for histogram - #2984
- ⚡️ Update confidence connected components example for better illustration - #2968
- Enable disk caching of OpenCL kernel binaries - #2970
- 🔨 Refactor extension of kernel binaries stored to disk
.bin- #2970 - ➕ Add minimum driver versions for CUDA toolkit 11 in internal map - #2982
- 👌 Improve warnings messages from run-time kernel compilation functions - #2996
🛠 Fixes
- 🛠 Fix bias factor of variance in var_all and cov functions - #2986
- 🛠 Fix a race condition in confidence connected components function for OpenCL backend - #2969
- Safely ignore disk cache failures in CUDA backend for compiled kernel binaries - #2970
- 🛠 Fix randn by passing in correct values to Box-Muller - #2980
- 🛠 Fix rounding issues in Box-Muller function used for RNG - #2980
- 🛠 Fix problems in RNG for older compute architectures with fp16 - #2980#2996
- 🛠 Fix performance regression of approx functions - #2977
- ✂ Remove assert that check that signal/filter types have to be the same - #2993
- 🛠 Fix
checkAndSetDevMaxComputewhen the device cc is greater than max - #2996 - 🛠 Fix documentation errors and warnings - #2973 , #2987
- ➕ Add missing opencl-arrayfire interoperability functions in unified back - #2981
Contributions
Special thanks to our contributors: P. J. Reed
Previous changes from v3.7.2
-
v3.7.2
👌 Improvements
- Cache CUDA kernels to disk to improve load times(Thanks to @cschreib-ibex) #2848
- Staticly link against cuda libraries #2785
- 🏗 Make cuDNN an optional build dependency #2836
- 👌 Improve support for different compilers and OS #2876 #2945 #2925 #2942 #2943 #2945
- 👌 Improve performance of join and transpose on CPU #2849
- 👌 Improve documentation #2816 #2821 #2846 #2918 #2928 #2947
- ⬇️ Reduce binary size using NVRTC and template reducing instantiations #2849 #2861 #2890
- 👌 Improve reduceByKey performance on OpenCL by using builtin functions #2851
- 👌 Improve support for Intel OpenCL GPUs #2855
- 👍 Allow staticly linking against MKL #2877 (Sponsered by SDL)
- 👍 Better support for older CUDA toolkits #2923
- ➕ Add support for CUDA 11 #2939
- ➕ Add support for ccache for faster builds #2931
- ➕ Add support for the conan package manager on linux #2875
- 🏗 Propagate build errors up the stack in AFError exceptions #2948 #2957
- 👌 Improve runtime dependency library loading #2954
- 👌 Improved cuDNN runtime checks and warnings #2960
- Document af_memory_manager_* native memory return values #2911
- ➕ Add support for cuDNN 8 #2963
🛠 Fixes
- 🐛 Bug crash when allocating large arrays #2827
- 🛠 Fix various compiler warnings #2827 #2849 #2872 #2876
- 🛠 Fix minor leaks in OpenCL functions #2913
- 🛠 Various continuous integration related fixes #2819
- 🛠 Fix zero padding with convolv2NN #2820
- Fix af_get_memory_pressure_threshold return value #2831
- Increased the max filter length for morph
- 🖐 Handle empty array inputs for LU, QR, and Rank functions #2838
- 🛠 Fix FindMKL.cmake script for sequential threading library #2840
- 🔨 Various internal refactoring #2839 #2861 #2864 #2873 #2890 #2891 #2913
- 🛠 Fix OpenCL 2.0 builtin function name conflict #2851
- 🛠 Fix error caused when releasing memory with multiple devices #2867
- 🛠 Fix missing set stacktrace symbol from unified API #2915
- 🛠 Fix zero padding issue in convolve2NN #2820
- 🛠 Fixed bugs in ReduceByKey #2957
- ➕ Add clblast patch to handle custom context with multiple devices #2967
Contributions
Special thanks to our contributors:
Corentin Schreiber
Jacob Kahn
Paul Jurczak
Christoph Junghans