Currently we support local, remote and pai mode on Windows. Windows 10.1809 is well tested and recommended.
please refer to Installation for more details.
When these things are done, use the config_windows.yml configuration to start an experiment for validation.
nnictl create --config nni\examples\trials\mnist\config_windows.yml
For other examples you need to change trial command python3
into python
in each example YAML.
Make sure C++ 14.0 compiler installed.
building 'simplejson._speedups' extension error: [WinError 3] The system cannot find the path specified
This error caused by missing LIBIFCOREMD.DLL and LIBMMD.DLL and fail to install SciPy. Using Anaconda or Miniconda with Python(64-bit) can solve it.
ImportError: DLL load failed
Please check the trial log file stderr for more details.
If there is a stderr file, please check out. Two possible cases are as follows:
- forget to change the trial command
python3
intopython
in each experiment YAML. - forget to install experiment dependencies such as TensorFlow, Keras and so on.
Make sure C++ 14.0 compiler installed then try to run nnictl package install --name=BOHB
to install the dependencies.
SMAC is not supported currently, the specific reason can be referred to this GitHub issue.
Note:
- If there is any error like
Segmentation fault
, please refer to FAQ