TensorFlow 2.11.0-foss-2022a-CUDA-11.7.0
An open-source software library for Machine IntelligenceAccessing TensorFlow 2.11.0-foss-2022a-CUDA-11.7.0
To load the module for TensorFlow 2.11.0-foss-2022a-CUDA-11.7.0 please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):
module load TensorFlow/2.11.0-foss-2022a-CUDA-11.7.0
There is a CPU version of this module: TensorFlow 2.11.0-foss-2022a
BEAR Apps Version
Extensions
- absl-py-1.4.0
- astor 0.8.1
- astunparse 1.6.3
- beniget 0.3.0
- cachetools 5.2.1
- gast 0.4.0
- google-auth-2.16.0
- google-auth-oauthlib-0.4.6
- google-pasta-0.2.0
- grpcio 1.51.1
- gviz-api-1.10.0
- keras 2.11.0
- Markdown 3.4.1
- oauthlib 3.2.2
- opt-einsum-3.3.0
- portpicker 1.5.2
- pyasn1-modules-0.2.8
- pythran 0.9.11
- requests-oauthlib-1.3.1
- rsa 4.9
- tblib 1.7.0
- tensorboard 2.11.1
- tensorboard-data-server-0.6.1
- tensorboard-plugin-profile-2.11.1
- tensorboard-plugin-wit-1.8.1
- TensorFlow 2.11.0
- tensorflow-estimator-2.11.0
- termcolor 1.1.0
- Werkzeug 2.2.2
- wrapt 1.14.1
More Information
For more information visit the TensorFlow website.
Dependencies
This version of TensorFlow has a direct dependency on: CUDA/11.7.0 cuDNN/8.4.1.50-CUDA-11.7.0 cURL/7.83.0-GCCcore-11.3.0 dill/0.3.6-GCCcore-11.3.0 double-conversion/3.2.0-GCCcore-11.3.0 flatbuffers/2.0.7-GCCcore-11.3.0 foss/2022a giflib/5.2.1-GCCcore-11.3.0 h5py/3.7.0-foss-2022a hwloc/2.7.1-GCCcore-11.3.0 ICU/71.1-GCCcore-11.3.0 JsonCpp/1.9.5-GCCcore-11.3.0 libjpeg-turbo/2.1.3-GCCcore-11.3.0 libpng/1.6.37-GCCcore-11.3.0 LMDB/0.9.29-GCCcore-11.3.0 NASM/2.15.05-GCCcore-11.3.0 NCCL/2.12.12-GCCcore-11.3.0-CUDA-11.7.0 networkx/2.8.4-foss-2022a nsync/1.25.0-GCCcore-11.3.0 protobuf-python/3.19.4-GCCcore-11.3.0 Python/3.10.4-GCCcore-11.3.0 snappy/1.1.9-GCCcore-11.3.0 SQLite/3.38.3-GCCcore-11.3.0 zlib/1.2.12-GCCcore-11.3.0
Required By
This version of TensorFlow is a direct dependent of: AlphaFold/2.3.1-foss-2022a-CUDA-11.7.0
Other Versions
These versions of TensorFlow 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 14th March 2023