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ROCm/docs/release/3rd_party_support_matrix.md
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# 3rd Party Support Matrix
ROCm™ supports various 3rd party libraries and frameworks. Supported versions
are tested and known to work. Non-supported versions of 3rd parties may also
work, but aren't tested.
(ml_framework_compat_matrix)=
## Deep Learning
ROCm releases support the most recent and two prior releases of PyTorch and
TensorFlow
| ROCm | [PyTorch](https://github.com/pytorch/pytorch/releases/) | [TensorFlow](https://github.com/tensorflow/tensorflow/releases/) | [MAGMA](https://icl.utk.edu/magma/index.html) |
|:------|:--------------------------:|:--------------------:|:-----:|
| 5.0.2 | 1.8, 1.9, 1.10 | 2.6, 2.7, 2.8 | |
| 5.1.3 | 1.9, 1.10, 1.11 | 2.7, 2.8, 2.9 | |
| 5.2.x | 1.10, 1.11, 1.12 | 2.8, 2.9, 2.9 | |
| 5.3.x | 1.10.1, 1.11, 1.12.1, 1.13 | 2.8, 2.9, 2.10 | |
| 5.4.x | 1.10.1, 1.11, 1.12.1, 1.13 | 2.8, 2.9, 2.10, 2.11 | 2.5.4 |
| 5.5.x | 1.10.1, 1.11, 1.12.1, 1.13 | 2.10, 2.11 | 2.5.4 |
## Communication libraries
ROCm supports [OpenUCX](https://openucx.org/) an "an open-source,
production-grade communication framework for data-centric and high-performance
applications".
UCX version | ROCm 5.4 and older | ROCm 5.5 and newer |
|:----------|:------------------:|:------------------:|
| -1.14.0 | COMPATIBLE | INCOMPATIBLE |
| 1.14.1+ | COMPATIBLE | COMPATIBLE |
## Algorithm libraries
ROCm releases provide algorithm libraries with interfaces compatible with
contemporary CUDA / NVIDIA HPC SDK alternatives.
- Thrust → rocThrust
- CUB → hipCUB
| ROCm | Thrust / CUB | HPC SDK |
|:------|:------------:|:-------:|
| 5.0.2 | 1.14 | 21.9 |
| 5.1.3 | 1.15 | 22.1 |
| 5.2.x | 1.15 | 22.2, 22.3 |
| 5.3.x | 1.16 | 22.7 |
| 5.4.x | 1.16 | 22.9 |
| 5.5.x | 1.17 | 22.9 |
For the latest documentation of these libraries, refer to the
[associated documentation](../reference/gpu_libraries/c%2B%2B_primitives.md).