Andes Neural Network Library offers a variety of functions, such as activation, convolution, fully connected layers, pooling, and other auxiliary operations.

• Andes Neural Network Library user manual
  The user manual of Andes Neural Network Library can be found under docs/html.
• Prebuilt library
  The prebuilt library compiled with x86_64 GCC is available in the prebuilt/ folder.
• For any toolchains
  • Steps to build the Andes Neural Network Library
    Run build.sh with the compiler name as the argument. For example:
    ./build.sh "riscv32-unknown-elf-gcc"
    Once the build is complete, a static library named libnn.a will be generated. For more usage details, please refer to the comments at the beginning of build.sh.
  • Steps to build the example
    1. Navigate to example folder
    2. Build the example with the following command (assumes riscv32-unknown-elf-gcc as the compiler):
       riscv32-unknown-elf-gcc example.c -o example.out -lnn -L../ -I../Include
• For Andes toolchains
  • Steps to build and install the Andes Neural Network Library multilib
    Execute the build_default_library.sh script. For example:
    ./build_default_library.sh <RISCV32-UNKNOWN-ELF_TOOLCHAIN_PATH>/riscv32-elf/lib riscv32-elf <RISCV32-UNKNOWN-ELF_TOOLCHAIN_PATH>/riscv32-elf/include gcc

    Note: Running build_default_library.sh will overwrite any existing header files and libraries from previous builds.

  • Steps to build the example
    1. Navigate to example folder
    2. Build the example with the following command (assumes riscv32-unknown-elf-gcc as the compiler):
       riscv32-unknown-elf-gcc example.c -o example.out -lnn