NuPIC Core

This repository contains the C++ source code for the Numenta Platform for Intelligent Computing (NuPIC). It will eventually contain all algorithms for NuPIC, but is currently in a transition period. For details on building NuPIC within the python environment, please see http://github.com/numenta/nupic.

Build and test NuPIC Core:

Important notes:

• For developers (contributing to NuPIC Core) please follow the Development Workflow steps.
• $NUPIC_CORE is the current location of the repository that you downloaded from GitHub.
• Platform specific Readme.md text files exist in some external/ subdirectories
• See the main wiki for more build notes

Using command line

Install Dependencies

• Python - We recommend you use the system version where possibly.
  • Version 2.7
• NumPy - Can be installed through some system package managers or via pip
  • Version 1.9.2
• pycapnp
  • Version 0.5.5
• CMake
• Cap'n Proto
  • Version 0.5.2
  • Some users, such as those using Linux, will need to specify some compiler flags. See external/README.md for details.

The Python depedencies (NumPy and pycapnp) can be installed with pip:

pip install -r bindings/py/requirements.txt

Configure and generate C++ build files:

mkdir -p $NUPIC_CORE/build/scripts
cd $NUPIC_CORE/build/scripts
cmake $NUPIC_CORE/src -DCMAKE_INSTALL_PREFIX=../release

Note: The -DCMAKE_INSTALL_PREFIX=../release option shown above is optional, and specifies the location where nupic.core should be installed. If omitted, nupic.core will be installed in a system location. Using this option is useful when testing versions of nupic.core with nupic (see NuPIC's Dependency on nupic.core).

Build:

# While still in $NUPIC_CORE/build/scripts
make -j3

Note: The -j3 option specifies '3' as the maximum number of parallel jobs/threads that Make will use during the build in order to gain speed. However, you can increase this number depending your CPU.

Install:

# While still in $NUPIC_CORE/build/scripts
make install

Run the tests:

cd $NUPIC_CORE/build/scripts
make tests_cpp_region
make tests_unit

Install nupic.bindings for nupic:

cd $NUPIC_CORE
python setup.py install --nupic-core-dir=$NUPIC_CORE/build/release

Note: set --nupic-core-dir to the location where nupic.core was installed.

If you get a gcc exit code 1, you may consider running this instead:

 CC=clang CXX=clang++ python setup.py install --user

If you are installing on Mac OS X, you must add the instruction ARCHFLAGS="-arch x86_64" before the python call:

ARCHFLAGS="-arch x86_64" python setup.py install

Alternatively, you can use the develop command to link to Python source code in place. This is useful if you are changing Python code because you don't need to recompile between changes.

python setup.py develop

Note: If you get a "permission denied" error when using the setup commands above, you may add the --user flag to install to a location in your home directory, which should resolve any permissions issues. Doing this, you may need to add this location to your PATH and PYTHONPATH.

Once it is installed, you can import NuPIC bindings library to your python script using:

import nupic.bindings

You can run the nupic.bindings tests with py.test:

py.test --pyargs nupic.bindings

Using graphical interface

Generate the IDE solution:

• Open CMake executable.
• Specify the source folder ($NUPIC_CORE/src).
• Specify the build system folder ($NUPIC_CORE/build/scripts), i.e. where IDE solution will be created.
• Click Generate.
• Choose the IDE that interest you (remember that IDE choice is limited to your OS, i.e. Visual Studio is available only on CMake for Windows).

Build:

• Open nupic_core.*proj solution file generated on $NUPIC_CORE/build/scripts.
• Run ALL_BUILD project from your IDE.

Run the tests:

• Run any tests_* project from your IDE (check output panel to see the results).