Updates to CHANGELOG for 6.3 (#3703)

Changelog updates based on taking all the commits in 6.3 since 6.2 and boiling them down to human readable descriptions of the changes.

CHANGELOG.md

@@ -3,6 +3,83 @@
 Full documentation for MIGraphX is available at
 [https://rocmdocs.amd.com/projects/AMDMIGraphX/en/latest/](https://rocmdocs.amd.com/projects/AMDMIGraphX/en/latest/).
 
+## MIGraphX 2.11 for ROCm 6.3.0
+
+### Added
+
+* Initial code to run on Windows
+* Support for gfx120x GPU
+* Support for FP8, and INT4
+* Support for the Log2 internal operator
+* Support for the GCC 14 compiler
+* The BitwiseAnd, Scan, SoftmaxCrossEntropyLoss, GridSample, and NegativeLogLikelihoodLoss ONNX operators
+* The MatMulNBits, QuantizeLinear/DequantizeLinear, GroupQueryAttention, SkipSimplifiedLayerNormalization, and SimpliedLayerNormalization Microsoft Contrib operators
+* Dymamic batch parameter support to OneHot operator
+* Split-K as an optional performance improvement
+* Scripts to validate ONNX models from the ONNX Model Zoo
+* GPU Pooling Kernel
+* --mlir flag to the migraphx-driver program to offload entire module to mlir
+* Fusing split-reduce with MLIR
+* Multiple outputs for the MLIR + Pointwise fusions
+* Pointwise fusions with MLIR across reshape operations
+* MIGRAPHX_MLIR_DUMP environment variable to dump MLIR modules to MXRs
+* The 3 option to MIGRAPHX_TRACE_BENCHMARKING to print the MLIR program for improved debug output
+* MIGRAPHX_ENABLE_HIPBLASLT_GEMM environment variable to call hipBlasLt libaries
+* MIGRAPHX_VERIFY_DUMP_DIFF to improve the debugging of accuracy issues
+* reduce_any and reduce_all options to the Reduce operation via Torch MIGraphX
+* Examples for RNNT, and ControlNet
+
+
+### Changed
+
+* Switched to MLIR's 3D Convolution operator.
+* MLIR is now used for Attention operations by default on gfx942 and newer ASICs.
+* Names and locations for VRM specific libraries have changed.
+* Use random mode for benchmarking GEMMs and convolutions.
+* Python version is now printed with an actual version number.
+
+
+### Removed
+
+* Disabled requirements for MIOpen and rocBlas when running on Windows.
+* Removed inaccuracte warning messages when using exhaustive-tune.
+* Remove the hard coded path in MIGRAPHX_CXX_COMPILER allowing the compiler to be installed in different locations.
+
+
+### Optimized
+
+* Improved:
+    * Infrastructure code to enable better Kernel fusions with all supported data types
+    * Subsequent model compile time by creating a cache for already performant kernels
+    * Use of Attention fusion with models
+    * Performance of the Softmax JIT kernel and of the Pooling opterator
+    * Tuning operations through a new 50ms delay before running the next kernel
+    * Performance of several convolution based models through an optimized NHWC layout
+    * Performance for the FP8 datatype
+    * GPU utilization
+    * Verification tools
+    * Debug prints
+    * Documentation, including gpu-driver utility documentation
+    * Summary section of the migrahx-driver perf command
+* Reduced model compilation time
+* Reordered some compiler passes to allow for more fusions
+* Preloaded tiles into LDS to improve performance of pointwise transposes
+* Exposed the external_data_path property in onnx_options to set the path from onnxruntime
+
+
+### Resolved Issues
+
+* Fixed a bug with gfx1030 that overwrote dpp_reduce.
+* Fixed a bug in 1arg dynamic reshape that created a failure.
+* Fixed a bug with dot_broadcast and inner_broadcast that caused compile failures.
+* Fixed a bug where some configs were failing when using exhaustive-tune.
+* Fixed the ROCM Install Guide URL.
+* Fixed an issue while building a whl package due to an apostrophe.
+* Fixed the BERT Squad example requirements file to support different versions of Python.
+* Fixed a bug that stopped the Vicuna model from compiling.
+* Fixed failures with the verify option of migraphx-driver that would cause the application to exit early.
+
+
 ## MIGraphX 2.10 for ROCm 6.2.0
 
 ### Additions