If you want to install JAX with both CPU and NVidia GPU support, you must first install CUDA and CuDNN, if they have not already been installed. Unlike some other popular deep learning systems, JAX does not bundle CUDA or CuDNN as part of the pip package. The CUDA 10 JAX wheels requi...
Windows users can use JAX on CPU and GPU via theWindows Subsystem for Linux. In addition, there is some initial community-driven native Windows support, but since it is still somewhat immature, there are no official binary releases and it must bebuilt from source for Windows. For an unoffici...
Windows users can use JAX on CPU and GPU via the Windows Subsystem for Linux. There is some initial native Windows support, but since it is still somewhat immature, there are no binary releases and it must be built from source. pip installation To install a CPU-only version, which might ...
pip installation: GPU (CUDA)If you want to install JAX with both CPU and NVidia GPU support, you must first install CUDA and CuDNN, if they have not already been installed. Unlike some other popular deep learning systems, JAX does not bundle CUDA or CuDNN as part of the pip package....
pip install --upgrade pip pip install --upgrade jax jaxlib # CPU-only version On Linux, it is often necessary to first update pip to a version that supports manylinux2010 wheels. If you want to install JAX with both CPU and GPU support, using existing CUDA and CUDNN7 installations on ...
To install a CPU-only version, which might be useful for doing local development on a laptop, you can run pip install --upgrade jax jaxlib#CPU-only version If you want to install JAX with both CPU and GPU support, using existing CUDA and CUDNN7 installations on your machine (for example...
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more - GitHub - wnnlyf/jax: Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
To install a CPU-only version, which might be useful for doing local development on a laptop, you can run pip install --upgrade jax jaxlib # CPU-only version If you want to install JAX with both CPU and GPU support, using existing CUDA and CUDNN7 installations on your machine (for exa...
CPUpip install -U "jax[cpu]" NVIDIA GPU on x86_64pip install -U "jax[cuda12_pip]" -f https://storage.googleapis.com/jax-releases/jax_cuda_releases.html Google TPUpip install -U "jax[tpu]" -f https://storage.googleapis.com/jax-releases/libtpu_releases.html ...
CPUpip install -U "jax[cpu]" NVIDIA GPU on x86_64pip install -U "jax[cuda12_pip]" -f https://storage.googleapis.com/jax-releases/jax_cuda_releases.html Google TPUpip install -U "jax[tpu]" -f https://storage.googleapis.com/jax-releases/libtpu_releases.html ...