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Link and PyTorch version updated (#5700)

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Pratik Basyal
2025-11-26 11:52:47 -05:00
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parent 42cad29c04
commit 847cd7c423
5 changed files with 18 additions and 14 deletions
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2
docs/compatibility/compatibility-matrix-historical-6.0.csv
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@@ -30,7 +30,7 @@ ROCm Version,7.1.1,7.1.0,7.0.2,7.0.1/7.0.0,6.4.3,6.4.2,6.4.1,6.4.0,6.3.3,6.3.2,6
,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908
,,,,,,,,,,,,,,,,,,,,,,
FRAMEWORK SUPPORT,.. _framework-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,,,,,,,,
:doc:`PyTorch <../compatibility/ml-compatibility/pytorch-compatibility>`,"2.9, 2.8, 2.7","2.8, 2.7, 2.6","2.8, 2.7, 2.6","2.7, 2.6, 2.5","2.6, 2.5, 2.4, 2.3","2.6, 2.5, 2.4, 2.3","2.6, 2.5, 2.4, 2.3","2.6, 2.5, 2.4, 2.3","2.4, 2.3, 2.2, 1.13","2.4, 2.3, 2.2, 1.13","2.4, 2.3, 2.2, 1.13","2.4, 2.3, 2.2, 2.1, 2.0, 1.13","2.3, 2.2, 2.1, 2.0, 1.13","2.3, 2.2, 2.1, 2.0, 1.13","2.3, 2.2, 2.1, 2.0, 1.13","2.3, 2.2, 2.1, 2.0, 1.13","2.1, 2.0, 1.13","2.1, 2.0, 1.13","2.1, 2.0, 1.13","2.1, 2.0, 1.13","2.1, 2.0, 1.13","2.1, 2.0, 1.13"
:doc:`PyTorch <../compatibility/ml-compatibility/pytorch-compatibility>`,"2.9, 2.8","2.8, 2.7, 2.6","2.8, 2.7, 2.6","2.7, 2.6, 2.5","2.6, 2.5, 2.4, 2.3","2.6, 2.5, 2.4, 2.3","2.6, 2.5, 2.4, 2.3","2.6, 2.5, 2.4, 2.3","2.4, 2.3, 2.2, 1.13","2.4, 2.3, 2.2, 1.13","2.4, 2.3, 2.2, 1.13","2.4, 2.3, 2.2, 2.1, 2.0, 1.13","2.3, 2.2, 2.1, 2.0, 1.13","2.3, 2.2, 2.1, 2.0, 1.13","2.3, 2.2, 2.1, 2.0, 1.13","2.3, 2.2, 2.1, 2.0, 1.13","2.1, 2.0, 1.13","2.1, 2.0, 1.13","2.1, 2.0, 1.13","2.1, 2.0, 1.13","2.1, 2.0, 1.13","2.1, 2.0, 1.13"
:doc:`TensorFlow <../compatibility/ml-compatibility/tensorflow-compatibility>`,"2.20.0, 2.19.1, 2.18.1","2.20.0, 2.19.1, 2.18.1","2.19.1, 2.18.1, 2.17.1 [#tf-mi350-past-60]_","2.19.1, 2.18.1, 2.17.1 [#tf-mi350-past-60]_","2.18.1, 2.17.1, 2.16.2","2.18.1, 2.17.1, 2.16.2","2.18.1, 2.17.1, 2.16.2","2.18.1, 2.17.1, 2.16.2","2.17.0, 2.16.2, 2.15.1","2.17.0, 2.16.2, 2.15.1","2.17.0, 2.16.2, 2.15.1","2.17.0, 2.16.2, 2.15.1","2.16.1, 2.15.1, 2.14.1","2.16.1, 2.15.1, 2.14.1","2.16.1, 2.15.1, 2.14.1","2.16.1, 2.15.1, 2.14.1","2.15.0, 2.14.0, 2.13.1","2.15.0, 2.14.0, 2.13.1","2.15.0, 2.14.0, 2.13.1","2.15.0, 2.14.0, 2.13.1","2.14.0, 2.13.1, 2.12.1","2.14.0, 2.13.1, 2.12.1"
:doc:`JAX <../compatibility/ml-compatibility/jax-compatibility>`,0.7.1,0.7.1,0.6.0,0.6.0,0.4.35,0.4.35,0.4.35,0.4.35,0.4.31,0.4.31,0.4.31,0.4.31,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26
:doc:`verl <../compatibility/ml-compatibility/verl-compatibility>` [#verl_compat-past-60]_,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,0.3.0.post0,N/A,N/A,N/A,N/A,N/A,N/A
1 ROCm Version 7.1.1 7.1.0 7.0.2 7.0.1/7.0.0 6.4.3 6.4.2 6.4.1 6.4.0 6.3.3 6.3.2 6.3.1 6.3.0 6.2.4 6.2.2 6.2.1 6.2.0 6.1.5 6.1.2 6.1.1 6.1.0 6.0.2 6.0.0
30 gfx908 gfx908 gfx908 gfx908 gfx908 gfx908 gfx908 gfx908 gfx908 gfx908 gfx908 gfx908 gfx908 gfx908 gfx908 gfx908 gfx908 gfx908 gfx908 gfx908 gfx908 gfx908
31
32 FRAMEWORK SUPPORT .. _framework-support-compatibility-matrix-past-60:
33 :doc:`PyTorch <../compatibility/ml-compatibility/pytorch-compatibility>` 2.9, 2.8, 2.7 2.9, 2.8 2.8, 2.7, 2.6 2.8, 2.7, 2.6 2.7, 2.6, 2.5 2.6, 2.5, 2.4, 2.3 2.6, 2.5, 2.4, 2.3 2.6, 2.5, 2.4, 2.3 2.6, 2.5, 2.4, 2.3 2.4, 2.3, 2.2, 1.13 2.4, 2.3, 2.2, 1.13 2.4, 2.3, 2.2, 1.13 2.4, 2.3, 2.2, 2.1, 2.0, 1.13 2.3, 2.2, 2.1, 2.0, 1.13 2.3, 2.2, 2.1, 2.0, 1.13 2.3, 2.2, 2.1, 2.0, 1.13 2.3, 2.2, 2.1, 2.0, 1.13 2.1, 2.0, 1.13 2.1, 2.0, 1.13 2.1, 2.0, 1.13 2.1, 2.0, 1.13 2.1, 2.0, 1.13 2.1, 2.0, 1.13
34 :doc:`TensorFlow <../compatibility/ml-compatibility/tensorflow-compatibility>` 2.20.0, 2.19.1, 2.18.1 2.20.0, 2.19.1, 2.18.1 2.19.1, 2.18.1, 2.17.1 [#tf-mi350-past-60]_ 2.19.1, 2.18.1, 2.17.1 [#tf-mi350-past-60]_ 2.18.1, 2.17.1, 2.16.2 2.18.1, 2.17.1, 2.16.2 2.18.1, 2.17.1, 2.16.2 2.18.1, 2.17.1, 2.16.2 2.17.0, 2.16.2, 2.15.1 2.17.0, 2.16.2, 2.15.1 2.17.0, 2.16.2, 2.15.1 2.17.0, 2.16.2, 2.15.1 2.16.1, 2.15.1, 2.14.1 2.16.1, 2.15.1, 2.14.1 2.16.1, 2.15.1, 2.14.1 2.16.1, 2.15.1, 2.14.1 2.15.0, 2.14.0, 2.13.1 2.15.0, 2.14.0, 2.13.1 2.15.0, 2.14.0, 2.13.1 2.15.0, 2.14.0, 2.13.1 2.14.0, 2.13.1, 2.12.1 2.14.0, 2.13.1, 2.12.1
35 :doc:`JAX <../compatibility/ml-compatibility/jax-compatibility>` 0.7.1 0.7.1 0.6.0 0.6.0 0.4.35 0.4.35 0.4.35 0.4.35 0.4.31 0.4.31 0.4.31 0.4.31 0.4.26 0.4.26 0.4.26 0.4.26 0.4.26 0.4.26 0.4.26 0.4.26 0.4.26 0.4.26
36 :doc:`verl <../compatibility/ml-compatibility/verl-compatibility>` [#verl_compat-past-60]_ N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 0.3.0.post0 N/A N/A N/A N/A N/A N/A

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docs/compatibility/compatibility-matrix.rst
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@@ -54,7 +54,7 @@ compatibility and system requirements.
,gfx908,gfx908,gfx908
,,,
FRAMEWORK SUPPORT,.. _framework-support-compatibility-matrix:,,
:doc:`PyTorch <../compatibility/ml-compatibility/pytorch-compatibility>`,"2.9, 2.8, 2.7","2.8, 2.7, 2.6","2.6, 2.5, 2.4, 2.3"
:doc:`PyTorch <../compatibility/ml-compatibility/pytorch-compatibility>`,"2.9, 2.8","2.8, 2.7, 2.6","2.6, 2.5, 2.4, 2.3"
:doc:`TensorFlow <../compatibility/ml-compatibility/tensorflow-compatibility>`,"2.20.0, 2.19.1, 2.18.1","2.20.0, 2.19.1, 2.18.1","2.18.1, 2.17.1, 2.16.2"
:doc:`JAX <../compatibility/ml-compatibility/jax-compatibility>`,0.7.1,0.7.1,0.4.35
:doc:`DGL <../compatibility/ml-compatibility/dgl-compatibility>` [#dgl_compat]_,N/A,N/A,2.4.0

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docs/compatibility/ml-compatibility/pytorch-compatibility.rst
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@@ -401,25 +401,25 @@ with ROCm.
Key features and enhancements for PyTorch 2.9 with ROCm 7.1.1
================================================================================
- Scaled Dot Product Attention (SDPA) upgraded to use AOTriton version 0.11b
- Scaled Dot Product Attention (SDPA) upgraded to use AOTriton version 0.11b.
- Default hipBLASLt support enabled for gfx908 architecture on ROCm 6.3 and later
- Default hipBLASLt support enabled for gfx908 architecture on ROCm 6.3 and later.
- MIOpen now supports channels last memory format for 3D convolutions and batch normalization
- MIOpen now supports channels last memory format for 3D convolutions and batch normalization.
- NHWC convolution operations in MIOpen optimized by eliminating unnecessary transpose operations
- NHWC convolution operations in MIOpen optimized by eliminating unnecessary transpose operations.
- Improved tensor.item() performance by removing redundant synchronization
- Improved tensor.item() performance by removing redundant synchronization.
- Enhanced performance for element-wise operations and reduction kernels
- Enhanced performance for element-wise operations and reduction kernels.
- Added support for grouped GEMM operations through fbgemm_gpu generative AI components
- Added support for grouped GEMM operations through fbgemm_gpu generative AI components.
- Resolved device error in Inductor when using CUDA graph trees with HIP
- Resolved device error in Inductor when using CUDA graph trees with HIP.
- Corrected logsumexp scaling in AOTriton-based SDPA implementation
- Corrected logsumexp scaling in AOTriton-based SDPA implementation.
- Added stream graph capture status validation in memory copy synchronization functions
- Added stream graph capture status validation in memory copy synchronization functions.
Key features and enhancements for PyTorch 2.8 with ROCm 7.1
================================================================================