[CI Request]: SmartSim - Githubissues

Please fulfill the initial requirements described in Contributing to SDK.

CI Request includes the following information about the software tool:

[x] Description of the tool: A workflow library that makes it easier to use common Machine Learning (ML) libraries, like PyTorch and TensorFlow, in High Performance Computing (HPC) simulations and applications. SmartSim launches ML infrastructure on HPC systems alongside user workloads.
[x] GitHub repository (URL): https://github.com/CrayLabs/SmartSim
[x] Supported package managers: pip, ~conda~, spack
[x] Specific version to be used (i.e., "stable"): v0.5.0 (latest release on github)
[x] Possibility to run the latest version is optional: develop branch on github
[x] List of all dependencies
- Direct dependencies:
- Build Dependencies:
  - setuptools
  - wheel
- Binary Dependencies:
  - Python
  - Redis
  - RedisAI
  - Libtensorflow (optional)
  - Libtorch (optional)
  - Onnxruntime (optional)
- Python Packages:
  - coloredlogs
  - filelock
  - protobuf
  - psutil
  - redis
  - smartredis
  - tabulate
  - tqdm
  - onnx (optional)
  - onnxmltools (optional)
  - scikit-learn (optional)
  - skl2onnx (optional)
  - tensorflow (optional)
  - torch (optional)
  - torchvision (optional)
- Transitive dependencies (dependencies of dependencies)
- Build Dependencies:
  - bazel
  - cmake
  - cython
  - ninja
  - swig
- Binary Dependencies:
  - blas
  - hiredis
  - lapack
  - pybind
  - redis-plus-plus
  - cuda (optional)
  - cudnn (optional)
  - nccl (optional)
  - hip (optional)
  - hipcub (optional)
  - hipfft (optional)
  - hipsparse (optional)
  - miopen-hip (optional)
  - rccl (optional)
  - rocblas (optional)
  - rocfft (optional)
  - rocminfo (optional)
  - rocprim (optional)
  - rocrand (optional)
  - rocthrust (optional)
- Python Packages:
  - absl-py
  - astor
  - asturneparse
  - async-timeout
  - cffi
  - colorama
  - flatbuffers
  - gast
  - google-pasta
  - grpcio
  - h5py
  - humanfriendly
  - importlib-metadata
  - jinja2
  - libclang
  - networkx
  - numpy
  - opt-einsum
  - pyyaml
  - requests
  - scipy
  - six
  - sympy
  - tensorboard
  - termcolor
  - typing_extensions
  - wrapt
[x] CI facility: all available

After this request is approved, you will be notified and asked to create a Pull Request with basic test recipes packed into test.sh inside the directory ci/tests/<tool_name>.
Once all the steps above have been completed, your tool will be activated in all the requested CI pipelines.

ExaWorks / SDK

[CI Request]: SmartSim #200