DISCLAIMER: Currently both CUDA and cuDNN are required for the examples to build.
Compile and call the build.
# install rust, if you need to curl -sSf https://static.rust-lang.org/rustup.sh | sh # download the code git clone firstname.lastname@example.org:autumnai/leaf-examples.git && cd leaf-examples # build the binary cargo build --release # and you should see the CLI help page target/release/leaf-examples --help # which means, you can run the examples from below
Note for OSX El Capitan users:
openssl no longer ships with OSX by default.
brew link --force openssl should fix the problem. If not, see this Github issue for more details.
The MNIST Datasets comes not shipped with this repository (it's too big), but you can load it directly via the CLI.
# download the MNIST dataset. target/release/leaf-examples load-dataset mnist # run the MNIST linear example target/release/leaf-examples mnist linear --batch-size 10 # run the MNIST MLP (Multilayer Perceptron) example target/release/leaf-examples mnist mlp --batch-size 5 --learning-rate 0.001 # run the MNIST Convolutional Neural Network example target/release/leaf-examples mnist conv --batch-size 10 --learning-rate 0.002