* Add 'openblas' as mathlib option in configure. Not added to auto-search so
must be specified using --with-openblas
* configure script searches empty tail so that libraries located at default_path_list
roots (ie /usr/local/ + include/openblas_config.h) are found
* Treat ACML as the odd library out in ifdefs since it doesn't conform to typical
BLAS standard. Other libraries like ATLAS should be able to share
OpenBLAS/MKL variants. Add default USE_ACML define in VS projects to match
* Fix 'max' macro define colliding with C++ std::max once openblas headers are included
Usage Notes:
* For best performance, build OpenBLAS with USE_OPENMP=1. When running CNTK, set
OPENBLAS_NUM_THREADS environment var or set numCPUThreads CNTK config variable to the
physical core count or performance will suffer
* OpenBLAS 2.16 (git HEAD) tested in Linux with GCC 4.8.4 and in Windows with
OpenBLAS 2.15 (pre-built binary release + MingGW 64-bit support dlls)
* For Windows, in Math.vcxproj, replace libacml_mp_dll.lib with libopenblas.dll.a and change
USE_ACML define to USE_OPENBLAS. Change ACML_PATH environment variable to your OpenBLAS path.
Modify openblas_config.h as per https://github.com/xianyi/OpenBLAS/issues/708
* On current generation Intel processors, OpenBLAS measures a little faster than
AMD ACML and slower than Intel MKL on MNIST and other examples
Activate LibSparsePCReader on Linux build
Make file name consistent with Windows
Activate LibSparsePCReader on Linux build
Make file name consistent with Windows
Activate LibSparsePCReader on Linux build
Make file name consistent with Windows
Fix reader on Linux
Activate LibSparsePCReader on Linux build
Make file name consistent with Windows
Activate LibSparsePCReader on Linux build
Make file name consistent with Windows
Activate LibSparsePCReader on Linux build
Make file name consistent with Windows
Activate LibSparsePCReader on Linux build
Make file name consistent with Windows
added a dummy DataReader constructor from BrainScript (currently not implemented);
had to disable DelayLoadNofify() as that suddenly caused link errors (seems because DeviceFromConfig() is now called from a different place?);
further unified DoTrain() w.r.t. old CNTK config and BrainScript. Added a new BrainScriptBuilder (but the builders will go away next and get replaced by a lambda). DoTrain now accessible from BS (but not functional yet, too many pieces missing);
all builders now can be constructed from both old ConfigParameters and BrainScript IConfigRecord;
suddenly gcc got very picky, had to fix several places
fixed Linux Makefile after change of GPUMatrixCUDAKernels.cu to GPUMatrixCUDAKernels.cuh. It used to explicitly compile this in the GCC build, although it was included
new source file ComputationNetworkScripting.cpp;
changed ComputationNetwork::SetDeviceId(). Now just takes the input and sets that as the device. Before it did somethinf funky with m_deviceId, which looks like a bug;
in LSTM test config, removed remnants of old NDL, now completely based on BS
Alexey Kamenev
Project Philly
Ross Wightman
Clemens Marschner
Mark Hillebrand
Chris Basoglu
Eldar Akchurin
Alexey Orlov
Amit
Frank Seide
Philipp Kranen
Marko Radmilac
thhoens
yzhang87
Qiwei Ye
Yongqiang Wang