Installation on Windows¶

Prerequisites
Setup environment
Install
FAQ

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.

> 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.

> 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 a list of compatible cuDNN versions of CUDA extension packages.

Install ¶

See NNabla package installation using PIP.

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”.