Update PyTorch compatibility documentation with PyTorch2.9 for ROCm7.1.1

.wordlist.txt

@@ -79,6 +79,7 @@ CX
 Cavium
 CentOS
 ChatGPT
+Cholesky
 CoRR
 Codespaces
 Commitizen
@@ -270,6 +271,7 @@ LLM
 LLMs
 LLVM
 LM
+logsumexp
 LRU
 LSAN
 LSan
@@ -322,6 +324,7 @@ Mooncake
 Mpops
 Multicore
 Multithreaded
+mx
 MXFP
 MyEnvironment
 MyST

docs/compatibility/ml-compatibility/pytorch-compatibility.rst

@@ -399,6 +399,28 @@ with ROCm.
 
         **Note:** Only official release exists.
 
+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
+
+- 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
+
+- NHWC convolution operations in MIOpen optimized by eliminating unnecessary transpose operations
+
+- Improved tensor.item() performance by removing redundant synchronization
+
+- Enhanced performance for element-wise operations and reduction kernels
+
+- Added support for grouped GEMM operations through fbgemm_gpu generative AI components
+
+- Resolved device error in Inductor when using CUDA graph trees with HIP
+
+- Corrected logsumexp scaling in AOTriton-based SDPA implementation
+
+- Added stream graph capture status validation in memory copy synchronization functions
+
 Key features and enhancements for PyTorch 2.8 with ROCm 7.1
 ================================================================================