Installation on Windows ----------------------- .. contents:: :local: :depth: 1 Prerequisites ^^^^^^^^^^^^^ We tested on Windows8.1 64bit and Windows10 64bit. The following software are required for installation: * Required software. * Python>=3.6: PIP * Microsoft Visual C++ 2015 Redistributable * Recommended. * CUDA Toolkit and cuDNN (if you have CUDA GPUs). Setup environment ^^^^^^^^^^^^^^^^^ Python """""" In this instruction, we use `Miniconda `_. Get and install the windows binary from `here `_ And then install required packages from command prompt. .. code-block:: doscon > conda install scipy scikit-image ipython If your network is using proxy and setup fails, configure proxy server with environment variable and try install again. .. code-block:: doscon > SET HTTP_PROXY=http://(enter the address of the http proxy server here) > SET HTTPS_PROXY=https://(enter the address of the https proxy server here) Microsoft Visual C++ 2015 Redistributable """"""""""""""""""""""""""""""""""""""""" Get and install from `here `_ CUDA and cuDNN library """""""""""""""""""""" If you are using a NVIDIA GPU, execution speed will be drastically improved by installing the following software. `CUDA Toolkit `_ `cuDNN `_ To install cuDNN, copy bin, include and lib to C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v{CUDA_VERSION} See :ref:`a list of compatible cuDNN versions of CUDA extension packages `. Install ^^^^^^^ See :ref:`pip-installation-workflow`. FAQ ^^^ Q. Scikit-image installation takes a long time. """"""""""""""""""""""""""""""""""""""""""""""" Depending on the environment, it will take a long time. Please wait. Q. Failed to install Scipy during installation. """"""""""""""""""""""""""""""""""""""""""""""" Please install scipy using "conda install" before "pip install nnabla".