Update for rel 2.5 (#814)

* Updates for release 2.4 README.md

Signed-off-by: Cole Nelson <cole.nelson@amd.com>

* Updates to version_history.md for release 2.4

Signed-off-by: Cole Nelson <cole.nelson@amd.com>

* Organize README.md

Signed-off-by: Cole Nelson <cole.nelson@amd.com>

* README.md & version_history.md for rocm release 2.5

Fix numerous links, some syntax.
Add links for rocThrust project.

Signed-off-by: Cole Nelson <cole.nelson@amd.com>

* Update README.md

* Update default.xml

README.md

@@ -1,30 +1,117 @@
 ## Are You Ready to ROCK?
 The ROCm Platform brings a rich foundation to advanced computing by seamlessly integrating the CPU and GPU with the goal of solving real-world problems.
-This software enables the high-performance operation of AMD GPUs for computationally oriented tasks in the Linux operating system.
+This software enables the high-performance operation of AMD GPUs for computation oriented tasks in the Linux operating system.
 
-### Current ROCm Version: 2.3
+### Current ROCm Version: 2.5
 
+- [New features and enhancements in ROCm 2.5](#new-features-and-enhancements-in-rocm-25)
+- [The latest ROCm platform - ROCm 2.5](#the-latest-rocm-platform-rocm-25)
 - [Hardware Support](#hardware-support)
   * [Supported GPUs](#supported-gpus)
   * [Supported CPUs](#supported-cpus)
   * [Not supported or limited support under ROCm](#not-supported-or-limited-support-under-rocm)
-- [New features and enhancements in ROCm 2.3](#new-features-and-enhancements-in-rocm-23)
-- [The latest ROCm platform - ROCm 2.3](#the-latest-rocm-platform---rocm-230)
-  * [Supported Operating Systems](#supported-operating-systems---new-operating-systems-available)
+- [Supported Operating Systems](#supported-operating-systems-new-operating-systems-available)
   * [ROCm support in upstream Linux kernels](#rocm-support-in-upstream-linux-kernels)
 - [Installing from AMD ROCm repositories](#installing-from-amd-rocm-repositories)
   * [ROCm Binary Package Structure](#rocm-binary-package-structure)
-  * [Ubuntu Support - installing from a Debian repository](#ubuntu-support---installing-from-a-debian-repository)
+  * [Ubuntu Support - installing from a Debian repository](#ubuntu-support-installing-from-a-debian-repository)
   * [CentOS/RHEL 7 (7.4, 7.5, 7.6) Support](#centosrhel-7-74-75-76-support)
-- [Known issues / workarounds](#known-issues--workarounds)
+- [Known issues / workarounds](#known-issues-workarounds)
 - [Closed source components](#closed-source-components)
 - [Getting ROCm source code](#getting-rocm-source-code)
   * [Installing repo](#installing-repo)
   * [Downloading the ROCm source code](#downloading-the-rocm-source-code)
   * [Building the ROCm source code](#building-the-rocm-source-code)
-- [Deprecation Notice](#deprecation-notice)
+- [Deprecation Notice](#deprecation-notice-hcc)
 - [Final notes](#final-notes)
 
+### New features and enhancements in ROCm 2.5
+
+#### UCX 1.6 support
+Support for UCX version 1.6 has been added.
+
+#### BFloat16 GEMM in rocBLAS/Tensile
+Software support for BFloat16 on Radeon Instinct MI50, MI60 has been added.  This includes:
+- Mixed precision GEMM with BFloat16 input and output matrices, and all arithmetic in IEEE32 bit
+- Input matrix values are converted from BFloat16 to IEEE32 bit, all arithmetic and accumulation is IEEE32 bit. Output values are rounded from IEEE32 bit to BFloat16
+- Accuracy should be correct to 0.5 ULP
+
+#### ROCm-SMI enhancements
+CLI support for querying the memory size, driver version, and firmware version has been added to ROCm-smi.
+
+#### [PyTorch] multi-GPU functional support (CPU aggregation/Data Parallel)
+Multi-GPU support is enabled in PyTorch using Dataparallel path for versions of PyTorch built using the 06c8aa7a3bbd91cda2fd6255ec82aad21fa1c0d5 commit or later.
+
+#### rocSparse optimization on Radeon Instinct MI50 and MI60
+This release includes performance optimizations for csrsv routines in the rocSparse library.
+
+#### [Thrust] Preview 
+Preview release for early adopters. rocThrust is a port of thrust, a parallel algorithm library. Thrust has been ported to the HIP/ROCm platform to use the rocPRIM library. The HIP ported library works on HIP/ROCm platforms. 
+
+Note: This library will replace https://github.com/ROCmSoftwarePlatform/thrust in a future release. The package for rocThrust (this library) currently conflicts with version 2.5 package of thrust. They should not be installed together.
+
+#### Support overlapping kernel execution in same HIP stream
+HIP API has been enhanced to allow independent kernels to run in parallel on the same stream.
+
+#### AMD Infinity Fabric™ Link enablement
+The ability to connect four Radeon Instinct MI60 or Radeon Instinct MI50 boards in one hive via AMD Infinity Fabric™ Link GPU interconnect technology has been added.
+
+Features and enhancements introduced in previous versions of ROCm can be found in [version_history.md](version_history.md)
+
+### The latest ROCm platform - ROCm 2.5
+
+The latest supported version of the drivers, tools, libraries and source code for the ROCm platform have been released and are available from the following GitHub repositories:
+
+* ROCm Core Components
+  - [ROCk Kernel Driver](https://github.com/RadeonOpenCompute/ROCK-Kernel-Driver/tree/roc-2.5.0)
+  - [ROCr Runtime](https://github.com/RadeonOpenCompute/ROCR-Runtime/tree/roc-2.5.0)
+  - [ROCt Thunk Interface](https://github.com/RadeonOpenCompute/ROCT-Thunk-Interface/tree/roc-2.5.0)
+* ROCm Support Software
+  - [ROCm SMI](https://github.com/RadeonOpenCompute/ROC-smi/tree/roc-2.5.0)
+  - [ROCm cmake](https://github.com/RadeonOpenCompute/rocm-cmake/tree/ac45c6e2)
+  - [rocminfo](https://github.com/RadeonOpenCompute/rocminfo/tree/d34b716a)
+  - [ROCm Bandwidth Test](https://github.com/RadeonOpenCompute/rocm_bandwidth_test/tree/roc-2.5.0)
+* ROCm Development Tools
+  - [HCC compiler](https://github.com/RadeonOpenCompute/hcc/tree/roc-2.5.0)
+  - [HIP](https://github.com/ROCm-Developer-Tools/HIP/tree/roc-2.5.0)
+  - [ROCm Device Libraries](https://github.com/RadeonOpenCompute/ROCm-Device-Libs/tree/roc-2.5.0)
+  - ROCm OpenCL, which is created from the following components:
+    - [ROCm OpenCL Runtime](http://github.com/RadeonOpenCompute/ROCm-OpenCL-Runtime/tree/roc-2.5.0)
+    - [ROCm OpenCL Driver](http://github.com/RadeonOpenCompute/ROCm-OpenCL-Driver/tree/roc-2.5.0)
+  - The ROCm OpenCL compiler, which is created from the following components:
+      - [ROCm LLVM OCL](http://github.com/RadeonOpenCompute/llvm/tree/roc-ocl-2.5.0)
+      - [ROCm LLVM HCC](http://github.com/RadeonOpenCompute/llvm/tree/roc-hcc-2.5.0)
+      - [ROCm Clang](http://github.com/RadeonOpenCompute/clang/tree/roc-2.5.0)
+      - [ROCm lld OCL](http://github.com/RadeonOpenCompute/lld/tree/roc-ocl-2.5.0)
+      - [ROCm lld HCC](http://github.com/RadeonOpenCompute/lld/tree/roc-hcc-2.5.0)
+      - [ROCm Device Libraries](https://github.com/RadeonOpenCompute/ROCm-Device-Libs/tree/roc-2.5.0)
+  - [ROCM Clang-OCL Kernel Compiler](https://github.com/RadeonOpenCompute/clang-ocl/tree/roc-2.5.0)
+  - [Asynchronous Task and Memory Interface (ATMI)](https://github.com/RadeonOpenCompute/atmi/tree/4dd14ad8)
+  - [ROCr Debug Agent](https://github.com/ROCm-Developer-Tools/rocr_debug_agent/tree/roc-2.5.0)
+  - [ROCm Code Object Manager](https://github.com/RadeonOpenCompute/ROCm-CompilerSupport/tree/roc-2.5.0)
+  - [ROC Profiler](https://github.com/ROCm-Developer-Tools/rocprofiler/tree/roc-2.5.x)
+  - [ROC Tracer](https://github.com/ROCm-Developer-Tools/roctracer/tree/roc-2.5.x)
+  - [Radeon Compute Profiler](https://github.com/GPUOpen-Tools/RCP/tree/3a49405)
+  - Example Applications:
+    - [HCC Examples](https://github.com/ROCm-Developer-Tools/HCC-Example-Application/tree/ffd65333)
+    - [HIP Examples](https://github.com/ROCm-Developer-Tools/HIP-Examples/tree/roc-2.5.0)
+* ROCm Libraries
+  - [rocBLAS](https://github.com/ROCmSoftwarePlatform/rocBLAS/tree/master-rocm-2.5)
+  - [hipBLAS](https://github.com/ROCmSoftwarePlatform/hipBLAS/tree/master-rocm-2.5)
+  - [rocFFT](https://github.com/ROCmSoftwarePlatform/rocFFT/tree/master-rocm-2.5)
+  - [rocRAND](https://github.com/ROCmSoftwarePlatform/rocRAND/tree/master-rocm-2.5)
+  - [rocSPARSE](https://github.com/ROCmSoftwarePlatform/rocSPARSE/tree/master-rocm-2.5)
+  - [hipSPARSE](https://github.com/ROCmSoftwarePlatform/hipSPARSE/tree/master-rocm-2.5)
+  - [rocALUTION](https://github.com/ROCmSoftwarePlatform/rocALUTION/tree/master-rocm-2.5)
+  - [MIOpenGEMM](https://github.com/ROCmSoftwarePlatform/MIOpenGEMM/tree/9547fb9e)
+  - [MIOpen](https://github.com/ROCmSoftwarePlatform/MIOpen/tree/9fb1826d)
+  - [HIP Thrust](https://github.com/ROCmSoftwarePlatform/Thrust/tree/master-rocm.2.5)
+  - [rocThrust](https://github.com/ROCmSoftwarePlatform/rocThrust/tree/master-rocm-2.5)
+  - [ROCm SMI Lib](https://github.com/RadeonOpenCompute/rocm_smi_lib/tree/roc-2.5.0)
+  - [RCCL](https://github.com/ROCmSoftwarePlatform/rccl/tree/master-rocm-2.5)
+  - [MIVisionX](https://github.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/tree/f05574dc)
+  - [CUB HIP](https://github.com/ROCmSoftwarePlatform/cub-hip/tree/hip_port_1.7.4)
+
 ### Hardware Support
 ROCm is focused on using AMD GPUs to accelerate computational tasks such as machine learning, engineering workloads, and scientific computing.
 In order to focus our development efforts on these domains of interest, ROCm supports a targeted set of hardware configurations which are detailed further in this section.
@@ -41,7 +128,7 @@ ROCm officially supports AMD GPUs that use following chips:
     * "Polaris 12" chips, such as on the AMD Radeon RX 550 and Radeon RX 540
   * GFX9 GPUs
     * "Vega 10" chips, such as on the AMD Radeon RX Vega 64 and Radeon Instinct MI25
-    * "Vega 7nm" chips, such as the AMD Radeon VII
+    * "Vega 7nm" chips, such as on the Radeon Instinct MI50, Radeon Instinct MI60 or AMD Radeon VII
 
 ROCm is a collection of software ranging from drivers and runtimes to libraries and developer tools.
 Some of this software may work with more GPUs than the "officially supported" list above, though AMD does not make any official claims of support for these devices on the ROCm software platform.
@@ -99,7 +186,7 @@ from the list provided above for compatibility purposes.
 #### Not supported or limited support under ROCm 
 ##### Limited support 
 
-* ROCm 2.3.x should support PCIe 2.0 enabled CPUs such as the AMD Opteron, Phenom, Phenom II, Athlon, Athlon X2, Athlon II and older Intel Xeon and Intel Core Architecture and Pentium CPUs. However, we have done very limited testing on these configurations, since our test farm has been catering to CPUs listed above. This is where we need community support. _If you find problems on such setups, please report these issues_.
+* ROCm 2.5.x should support PCIe 2.0 enabled CPUs such as the AMD Opteron, Phenom, Phenom II, Athlon, Athlon X2, Athlon II and older Intel Xeon and Intel Core Architecture and Pentium CPUs. However, we have done very limited testing on these configurations, since our test farm has been catering to CPUs listed above. This is where we need community support. _If you find problems on such setups, please report these issues_.
 * Thunderbolt 1, 2, and 3 enabled breakout boxes should now be able to work with ROCm. Thunderbolt 1 and 2 are PCIe 2.0 based, and thus are only supported with GPUs that do not require PCIe 3.0 atomics (e.g. Vega 10). However, we have done no testing on this configuration and would need community support due to limited access to this type of equipment.
 * AMD "Carrizo" and "Bristol Ridge" APUs are enabled to run OpenCL, but do not yet support HCC, HIP, or our libraries built on top of these compilers and runtimes.
   * As of ROCm 2.1, "Carrizo" and "Bristol Ridge" require the use of upstream kernel drivers.
@@ -112,112 +199,14 @@ from the list provided above for compatibility purposes.
   
 ##### Not supported 
 
-* "Tonga", "Iceland", "Vega M", and "Vega 12" GPUs are not supported in ROCm 2.3.x
+* "Tonga", "Iceland", "Vega M", and "Vega 12" GPUs are not supported in ROCm 2.5.x
 * We do not support GFX8-class GPUs (Fiji, Polaris, etc.) on CPUs that do not have PCIe 3.0 with PCIe atomics.
   * As such, we do not support AMD Carrizo and Kaveri APUs as hosts for such GPUs.
   * Thunderbolt 1 and 2 enabled GPUs are not supported by GFX8 GPUs on ROCm. Thunderbolt 1 & 2 are based on PCIe 2.0.
 
-### New features and enhancements in ROCm 2.3
+### Supported Operating Systems - New operating systems available
 
-#### Mem usage per GPU
-Per GPU memory usage is added to rocm-smi.
-Display information regarding used/total bytes for VRAM, visible VRAM and GTT, via the --showmeminfo flag
-
-#### MIVisionX, v1.1 - ONNX	
-ONNX parser changes to adjust to new file formats
-
-#### MIGraphX, v0.2
-MIGraphX 0.2 supports the following new features:
-* New Python API
-* Support for additional ONNX operators and fixes that now enable a large set of Imagenet models
-* Support for RNN Operators
-* Support for multi-stream Execution
-* [Experimental] Support for Tensorflow frozen protobuf files
-
-See: [Getting-started:-using-the-new-features-of-MIGraphX-0.2](https://github.com/ROCmSoftwarePlatform/AMDMIGraphX/wiki/Getting-started:-using-the-new-features-of-MIGraphX-0.2) for more details
-
-#### MIOpen, v1.8 - 3d convolutions and int8
-* This release contains full 3-D convolution support and int8 support for inference.
-* Additionally, there are major updates in the performance database for major models including those found in Torchvision.
-
-See: [MIOpen releases](https://github.com/ROCmSoftwarePlatform/MIOpen/releases)
-
-#### Caffe2 -  mGPU support	
-Multi-gpu support is enabled for Caffe2.
-
-#### rocTracer library, ROCm tracing API for collecting runtimes API and asynchronous GPU activity traces
-HIP/HCC domains support is introduced in rocTracer library.
-
-#### BLAS -  Int8 GEMM performance, Int8 functional and performance	
-Introduces support and performance optimizations for Int8 GEMM, implements TRSV support, and includes improvements and optimizations with Tensile.
-
-#### Prioritized L1/L2/L3 BLAS (functional)	
-Functional implementation of BLAS L1/L2/L3 functions
-
-#### BLAS - tensile optimization
-Improvements and optimizations with tensile
-
-#### MIOpen Int8 support
-Support for int8
-
-Features and enhancements introduced in previous versions of ROCm can be found in [version_history.md](version_history.md)
-
-### The latest ROCm platform - ROCm 2.3
-
-The latest supported version of the drivers, tools, libraries and source code for the ROCm platform have been released and are available from the following GitHub repositories:
-
-* ROCm Core Components
-  - [ROCk Kernel Driver](https://github.com/RadeonOpenCompute/ROCK-Kernel-Driver/tree/roc-2.3.0)
-  - [ROCr Runtime](https://github.com/RadeonOpenCompute/ROCR-Runtime/tree/84443a1)
-  - [ROCt Thunk Interface](https://github.com/RadeonOpenCompute/ROCT-Thunk-Interface/tree/roc-2.3.0)
-* ROCm Support Software
-  - [ROCm SMI](https://github.com/RadeonOpenCompute/ROC-smi/tree/roc-2.3.0)
-  - [ROCm cmake](https://github.com/RadeonOpenCompute/rocm-cmake/tree/ac45c6e2)
-  - [rocminfo](https://github.com/RadeonOpenCompute/rocminfo/tree/1bb0ccc7)
-  - [ROCm Bandwidth Test](https://github.com/RadeonOpenCompute/rocm_bandwidth_test/tree/roc-2.3.0)
-* ROCm Development Tools
-  - [HCC compiler](https://github.com/RadeonOpenCompute/hcc/tree/roc-2.3.0)
-  - [HIP](https://github.com/ROCm-Developer-Tools/HIP/tree/roc-2.3.0)
-  - [ROCm Device Libraries](https://github.com/RadeonOpenCompute/ROCm-Device-Libs/tree/roc-2.3.0)
-  - ROCm OpenCL, which is created from the following components:
-    - [ROCm OpenCL Runtime](http://github.com/RadeonOpenCompute/ROCm-OpenCL-Runtime/tree/roc-2.3.0)
-    - [ROCm OpenCL Driver](http://github.com/RadeonOpenCompute/ROCm-OpenCL-Driver/tree/roc-2.3.0)
-    - The ROCm OpenCL compiler, which is created from the following components:
-      - [ROCm LLVM OCL](http://github.com/RadeonOpenCompute/llvm/tree/roc-ocl-2.3.0)
-      - [ROCm LLVM HCC](http://github.com/RadeonOpenCompute/llvm/tree/roc-hcc-2.3.0)
-      - [ROCm Clang](http://github.com/RadeonOpenCompute/clang/tree/roc-2.3.0)
-      - [ROCm lld OCL](http://github.com/RadeonOpenCompute/lld/tree/roc-ocl-2.3.0)
-      - [ROCm lld HCC](http://github.com/RadeonOpenCompute/lld/tree/roc-hcc-2.3.0)
-      - [ROCm Device Libraries](https://github.com/RadeonOpenCompute/ROCm-Device-Libs/tree/roc-2.3.0)
-  - [ROCM Clang-OCL Kernel Compiler](https://github.com/RadeonOpenCompute/clang-ocl/tree/roc-2.3.0)
-  - [Asynchronous Task and Memory Interface (ATMI)](https://github.com/RadeonOpenCompute/atmi/tree/4dd14ad8)
-  - [ROCr Debug Agent](https://github.com/ROCm-Developer-Tools/rocr_debug_agent/tree/roc-2.3.0)
-  - [ROCm Code Object Manager](https://github.com/RadeonOpenCompute/ROCm-CompilerSupport/tree/roc-2.3.0)
-  - [ROC Profiler](https://github.com/ROCm-Developer-Tools/rocprofiler/tree/roc-2.3.x)
-  - [ROC Tracer](https://github.com/ROCm-Developer-Tools/roctracer/tree/roc-2.3.x)
-  - [Radeon Compute Profiler](https://github.com/GPUOpen-Tools/RCP/tree/a31fe682)
-  - Example Applications:
-    - [HCC Examples](https://github.com/ROCm-Developer-Tools/HCC-Example-Application/tree/ffd65333)
-    - [HIP Examples](https://github.com/ROCm-Developer-Tools/HIP-Examples/tree/roc-2.3.0)
-* ROCm Libraries
-  - [rocBLAS](https://github.com/ROCmSoftwarePlatform/rocBLAS/tree/master-rocm-2.3)
-  - [hipBLAS](https://github.com/ROCmSoftwarePlatform/hipBLAS/tree/master-rocm-2.3)
-  - [rocFFT](https://github.com/ROCmSoftwarePlatform/rocFFT/tree/master-rocm-2.3)
-  - [rocRAND](https://github.com/ROCmSoftwarePlatform/rocRAND/tree/master-rocm-2.3)
-  - [rocSPARSE](https://github.com/ROCmSoftwarePlatform/rocSPARSE/tree/master-rocm-2.3)
-  - [hipSPARSE](https://github.com/ROCmSoftwarePlatform/hipSPARSE/tree/master-rocm-2.3)
-  - [rocALUTION](https://github.com/ROCmSoftwarePlatform/rocALUTION/tree/master-rocm-2.3)
-  - [MIOpenGEMM](https://github.com/ROCmSoftwarePlatform/MIOpenGEMM/tree/9547fb9e)
-  - [MIOpen](https://github.com/ROCmSoftwarePlatform/MIOpen/tree/roc-2.3.0)
-  - [HIP Thrust](https://github.com/ROCmSoftwarePlatform/Thrust/tree/master-rocm-2.3)
-  - [ROCm SMI Lib](https://github.com/RadeonOpenCompute/rocm_smi_lib/tree/roc-2.3.0)
-  - [RCCL](https://github.com/ROCmSoftwarePlatform/rccl/tree/master-rocm-2.3)
-  - [MIVisionX](https://github.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/tree/8ec8732)
-  - [CUB HIP](https://github.com/ROCmSoftwarePlatform/cub-hip/tree/hip_port_1.7.4)
-
-#### Supported Operating Systems - New operating systems available
-
-The ROCm 2.2.x platform supports the following operating systems:
+The ROCm 2.5.x platform supports the following operating systems:
 
  * Ubuntu 16.04.x, 18.04.1 and 18.04.2 (Version 16.04.3 and newer or kernels 4.13-4.15)
  * CentOS 7.4, 7.5, and 7.6 (Using devtoolset-7 runtime support)
@@ -251,7 +240,7 @@ For users that have the option of using either AMD's or the upstreamed driver, t
 
 ### Installing from AMD ROCm repositories
 
-AMD hosts both [Debian](http://repo.radeon.com/rocm/apt/debian/) and [RPM](http://repo.radeon.com/rocm/yum/rpm/) repositories for the ROCm 2.3.x packages at this time.
+AMD hosts both [Debian](http://repo.radeon.com/rocm/apt/debian/) and [RPM](http://repo.radeon.com/rocm/yum/rpm/) repositories for the ROCm 2.5.x packages at this time.
 
 The packages in the Debian repository have been signed to ensure package integrity.
 
@@ -645,20 +634,17 @@ echo 'SUBSYSTEM=="kfd", KERNEL=="kfd", TAG+="uaccess", GROUP="video"' | sudo tee
 
 ### Known issues / workarounds
 
-#### Rocprim
-"Memory access fault" observed with rocprim.hip.device.scan
-#### HPL
-HPL fails to run in higher problem size (85000 Ns)
-#### Resnet50
-Multi-GPU resnet50 training using the caffe2 framework will cause a hardhang with a console message:
-kfd2kgd: amdgpu_amdkfd_restore_userptr_worker: Failed to resume KFD
-#### Caffe2
-Caffe2 images/sec drops 40% when 4 processes simultaneously run it, each using one GPU 
-#### Thrust
-functions zip_iterator.out and copy.out are not working as expected
-thrust exclusive_scan produces incorrect results when running on thrust device
-#### Tensor flow
-observed memory access fault while running SAGAN tensor flow model in Polaris based ASIC
+#### TensorFlow
+Observed memory access fault while running SAGAN TensorFlow model in Polaris based ASIC
+
+#### Radeon Instinct MI50, MI60
+GPU reset is not currently supported on Radeon Instinct MI50, MI60, in single card configurations or with boards connected with AMD Infinity Fabric™ Link GPU interconnect technology.  Workaround is too reboot the system.
+
+#### Gromacs
+There are known failures with a few tests on  Gromacs on CentOS
+
+#### HIP sample
+HIP sample test fails at module_api_global with a segmentation fault
 
 ### Closed source components
 
@@ -697,7 +683,7 @@ If you chose a directory other than `~/bin/` to install `repo`, you should use t
 ```shell
 mkdir -p ~/ROCm/
 cd ~/ROCm/
-~/bin/repo init -u https://github.com/RadeonOpenCompute/ROCm.git -b roc-2.3.0
+~/bin/repo init -u https://github.com/RadeonOpenCompute/ROCm.git -b roc-2.5.0
 repo sync
 ```
 

default.xml

@@ -12,7 +12,7 @@
     <remote name="gpuopen-tools"
             fetch="https://github.com/GPUOpen-Tools/" />
 
-    <default revision="refs/tags/roc-2.3.0"
+    <default revision="refs/tags/roc-2.5.0"
              remote="roc-github"
              sync-c="true"
              sync-j="4" />
@@ -32,9 +32,9 @@
     <remote name="KhronosGroup" fetch="https://github.com/KhronosGroup/" />
     <project name="ROCm-OpenCL-Runtime" />
     <project path="ROCm-OpenCL-Runtime/compiler/driver" name="ROCm-OpenCL-Driver"/>
-    <project path="ROCm-OpenCL-Runtime/compiler/llvm" name="llvm" />
+    <project path="ROCm-OpenCL-Runtime/compiler/llvm" name="llvm" revision="refs/tags/roc-hcc-2.5.0" />
     <project path="ROCm-OpenCL-Runtime/compiler/llvm/tools/clang" name="clang" />
-    <project path="ROCm-OpenCL-Runtime/compiler/llvm/tools/lld" name="lld" />
+    <project path="ROCm-OpenCL-Runtime/compiler/llvm/tools/lld" name="lld" revision="refs/tags/roc-hcc-2.5.0" />
     <project path="ROCm-OpenCL-Runtime/library/amdgcn" name="ROCm-Device-Libs"/>
     <project path="ROCm-OpenCL-Runtime/api/opencl/khronos/icd" name="OpenCL-ICD-Loader" remote="KhronosGroup" revision="261c1288aadd9dcc4637aca08332f603e6c13715" />
 
@@ -45,8 +45,8 @@
     <project name="HIP" remote="rocm-devtools" />
     <project name="HIP-Examples" remote="rocm-devtools" />
     <!-- The following projects are all associated with the AMDGPU LLVM compiler -->
-    <project name="llvm" path="llvm_amd-common" />
-    <project name="lld" path="llvm_amd-common/lld" />
+    <project name="llvm" path="llvm_amd-common" revision="refs/tags/roc-hcc-2.5.0" />
+    <project name="lld" path="llvm_amd-common/lld" revision="refs/tags/roc-hcc-2.5.0" />
     <project name="clang" path="llvm_amd-common/clang" />
     <project name="ROCm-Device-Libs" />
     <project name="atmi" revision="4dd14ad8fafc64dc8f35b0646cfe84e3e36a3c64" />
@@ -56,18 +56,17 @@
     <project name="RCP" remote="gpuopen-tools" revision="refs/tags/v5.6" />
 
     <!-- ROCm Libraries -->
-    <project name="rocBLAS" remote="rocm-swplat" revision="00da0857152eeda58a9bfda611572ab30dbdc4de" />
-    <project name="hipBLAS" remote="rocm-swplat" revision="4accc37a9cb29eccbc17a036dc6d4ae0144bed4e" />
-    <project name="rocFFT" remote="rocm-swplat" revision="673805db60597698e23a409a1efe75d236b9f9d3" />
-    <project name="rocRAND" remote="rocm-swplat" revision="687d659a294f416c69dd6e860a8ded939e55c22a" />
-    <project name="rocSPARSE" remote="rocm-swplat" revision="0676d85f2f37e59f5696c02bcdc5dead6db6e5e9" />
-    <project name="hipSPARSE" remote="rocm-swplat" revision="refs/tags/v1.0.4" />
-    <project name="rocALUTION" remote="rocm-swplat" revision="be8d0c577bc3db217a8c10caaf9d2627119a3444" />
+    <project name="rocBLAS" remote="rocm-swplat" revision="refs/tags/rocm-2.5" />
+    <project name="hipBLAS" remote="rocm-swplat" revision="refs/tags/rocm-2.5" />
+    <project name="rocFFT" remote="rocm-swplat" revision="refs/tags/v0.9.3" />
+    <project name="rocRAND" remote="rocm-swplat" revision="refs/tags/2.5.0" />
+    <project name="rocSPARSE" remote="rocm-swplat" revision="refs/tags/rocm-2.5" />
+    <project name="hipSPARSE" remote="rocm-swplat" revision="refs/tags/rocm-2.5" />
+    <project name="rocALUTION" remote="rocm-swplat" revision="refs/tags/rocm-2.5" />
     <project name="MIOpenGEMM" remote="rocm-swplat" revision="9547fb9e8499a5a9f16da83b1e6b749de82dd9fb" />
-    <project name="MIOpen" remote="rocm-swplat" revision="refs/tags/roc-2.3.0" />
-    <project name="Thrust" remote="rocm-swplat" revision="2f23ffb3932f303d910cad824b327c11893f0d68" sync-s="true" />
+    <project name="MIOpen" remote="rocm-swplat" revision="refs/tags/roc-2.5.0" />
+    <project name="Thrust" remote="rocm-swplat" revision="refs/tags/2.5" sync-s="true" />
     <project name="rocm_smi_lib" />
-    <project name="rccl" remote="rocm-swplat" revision="refs/tags/0.7.5" />
-    <project name="MIVisionX" remote="gpuopen-libs" revision="8ec87326b74d60a6f03a39298b83f192d440a939" />
-    <project name="cub-hip" remote="rocm-swplat" revision="hip_port_1.7.4" />
+    <project name="rccl" remote="rocm-swplat" revision="refs/tags/2.5.0" />
+    <project name="MIVisionX" remote="gpuopen-libs" revision="refs/tags/1.2.0" />
 </manifest>

version_history.md

@@ -1,7 +1,9 @@
 ## ROCm Version History
 This file contains archived version history information for the [ROCm project](https://github.com/RadeonOpenCompute/ROCm)
 
-### Current ROCm Version: 2.2
+### Current ROCm Version: 2.5
+- [New features and enhancements in ROCm 2.4](#new-features-and-enhancements-in-rocm-24)
+- [New features and enhancements in ROCm 2.3](#new-features-and-enhancements-in-rocm-23)
 - [New features and enhancements in ROCm 2.2](#new-features-and-enhancements-in-rocm-22)
 - [New features and enhancements in ROCm 2.1](#new-features-and-enhancements-in-rocm-21)
 - [New features and enhancements in ROCm 2.0](#new-features-and-enhancements-in-rocm-20)
@@ -14,6 +16,57 @@ This file contains archived version history information for the [ROCm project](h
 - [New Features as of ROCm 1.7](#new-features-as-of-rocm-17)
 - [New Features as of ROCm 1.5](#new-features-as-of-rocm-15)
 
+### New features and enhancements in ROCm 2.4
+
+#### TensorFlow 2.0 support
+ROCm 2.4 includes the enhanced compilation toolchain and a set of bug fixes to support TensorFlow 2.0 features natively
+
+#### AMD Infinity Fabric™ Link enablement 
+ROCm 2.4 adds support to connect two Radeon Instinct MI60 or Radeon Instinct MI50 boards via AMD Infinity Fabric™ Link GPU interconnect technology.
+
+### New features and enhancements in ROCm 2.3
+
+#### Mem usage per GPU
+Per GPU memory usage is added to rocm-smi.
+Display information regarding used/total bytes for VRAM, visible VRAM and GTT, via the --showmeminfo flag
+
+#### MIVisionX, v1.1 - ONNX 
+ONNX parser changes to adjust to new file formats
+
+#### MIGraphX, v0.2
+MIGraphX 0.2 supports the following new features:
+* New Python API
+* Support for additional ONNX operators and fixes that now enable a large set of Imagenet models
+* Support for RNN Operators
+* Support for multi-stream Execution
+* [Experimental] Support for Tensorflow frozen protobuf files
+
+See: [Getting-started:-using-the-new-features-of-MIGraphX-0.2](https://github.com/ROCmSoftwarePlatform/AMDMIGraphX/wiki/Getting-started:-using-the-new-features-of-MIGraphX-0.2) for more details
+
+#### MIOpen, v1.8 - 3d convolutions and int8
+* This release contains full 3-D convolution support and int8 support for inference.
+* Additionally, there are major updates in the performance database for major models including those found in Torchvision.
+
+See: [MIOpen releases](https://github.com/ROCmSoftwarePlatform/MIOpen/releases)
+
+#### Caffe2 -  mGPU support 
+Multi-gpu support is enabled for Caffe2.
+
+#### rocTracer library, ROCm tracing API for collecting runtimes API and asynchronous GPU activity traces
+HIP/HCC domains support is introduced in rocTracer library.
+
+#### BLAS -  Int8 GEMM performance, Int8 functional and performance 
+Introduces support and performance optimizations for Int8 GEMM, implements TRSV support, and includes improvements and optimizations with Tensile.
+
+#### Prioritized L1/L2/L3 BLAS (functional) 
+Functional implementation of BLAS L1/L2/L3 functions
+
+#### BLAS - tensile optimization
+Improvements and optimizations with tensile
+
+#### MIOpen Int8 support
+Support for int8
+
 ### New features and enhancements in ROCm 2.2
 
 #### rocSparse Optimization on Vega20