jax 0.4.4-foss-2022a-CUDA-11.7.0Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Accessing jax 0.4.4-foss-2022a-CUDA-11.7.0
To load the module for jax 0.4.4-foss-2022a-CUDA-11.7.0 please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):
module load bear-apps/2022a
module load jax/0.4.4-foss-2022a-CUDA-11.7.0
There is a CPU version of this module: jax 0.4.4-foss-2022a
BEAR Apps Version
EL8-haswell (GPUs: NVIDIA P100) — EL8-icelake (GPUs: NVIDIA A100, NVIDIA A30)
The listed architectures consist of two part: OS-CPU.
- BlueBEAR: The OS used on BlueBEAR is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.
- BEAR and CaStLeS Cloud VMs: These VMs can have one of two OSes. Those with access to a BEAR Cloud or CaStLeS VM should check that the listed architectures for an application include the OS of VM being used. The VMs, irrespective of OS, will use the haswell CPU type.
- etils 1.0.0
- jax 0.4.4
- opt_einsum 3.3.0
For more information visit the jax website.
This version of jax has a direct dependency on: CUDA/11.7.0 cuDNN/22.214.171.124-CUDA-11.7.0 flatbuffers-python/2.0-GCCcore-11.3.0 foss/2022a NCCL/2.12.12-GCCcore-11.3.0-CUDA-11.7.0 Python/3.10.4-GCCcore-11.3.0 SciPy-bundle/2022.05-foss-2022a
This version of jax is a direct dependent of: scvi-tools/0.20.1-foss-2022a-CUDA-11.7.0
These versions of jax are available on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs). These will be retained in accordance with our Applications Support and Retention Policy.
Last modified on 28th February 2023