Merge branch 'develop' into feature/prevent-inefficent-scheduling

CMakeLists.txt

@@ -373,9 +373,10 @@ include_directories(BEFORE
 
 SET(BUILD_DEV ON CACHE BOOL "BUILD_DEV")
 if(BUILD_DEV)
-    add_compile_options(-Werror)
-    add_compile_options(-Weverything)
+    add_compile_options(-Werror -Weverything)
 endif()
+#add flags to reduce the size of binaries
+add_compile_options(-Oz -flto=thin)
 message("CMAKE_CXX_FLAGS: ${CMAKE_CXX_FLAGS}")
 
 add_custom_target(check COMMAND ${CMAKE_CTEST_COMMAND} --output-on-failure -C ${CMAKE_CFG_INTDIR})
@@ -390,35 +391,27 @@ IF(IS_DIRECTORY "${PROJECT_SOURCE_DIR}/library/src/tensor_operation_instance/gpu
     file(READ "${PROJECT_SOURCE_DIR}/library/src/tensor_operation_instance/gpu/${subdir_path}/CMakeLists.txt" cmake_instance)
     set(add_inst 0)
     if(("${cmake_instance}" MATCHES "fp8" OR "${cmake_instance}" MATCHES "_f8") AND DTYPES MATCHES "fp8")
-        #message("fp8 instance found!")
         set(add_inst 1)
     endif()
     if(("${cmake_instance}" MATCHES "bf8" OR "${cmake_instance}" MATCHES "_b8") AND DTYPES MATCHES "bf8")
-        #message("bf8 instance found!")
         set(add_inst 1)
     endif()
     if(("${cmake_instance}" MATCHES "fp16" OR "${cmake_instance}" MATCHES "_f16") AND DTYPES MATCHES "fp16")
-        #message("fp16 instance found!")
         set(add_inst 1)
     endif()
     if(("${cmake_instance}" MATCHES "fp32" OR "${cmake_instance}" MATCHES "_f32") AND DTYPES MATCHES "fp32")
-        #message("fp32 instance found!")
         set(add_inst 1)
     endif()
     if(("${cmake_instance}" MATCHES "fp64" OR "${cmake_instance}" MATCHES "_f64") AND DTYPES MATCHES "fp64")
-        #message("fp64 instance found!")
         set(add_inst 1)
     endif()
     if(("${cmake_instance}" MATCHES "bf16" OR "${cmake_instance}" MATCHES "_b16") AND DTYPES MATCHES "bf16")
-        #message("bf16 instance found!")
         set(add_inst 1)
     endif()
     if(("${cmake_instance}" MATCHES "int8" OR "${cmake_instance}" MATCHES "_i8") AND DTYPES MATCHES "int8")
-        #message("int8 instance found!")
         set(add_inst 1)
     endif()
     if(NOT "${cmake_instance}" MATCHES "DTYPES")
-        #message("instance should be built for all types!")
         set(add_inst 1)
     endif()
     if(add_inst EQUAL 1 OR NOT DEFINED DTYPES)

Dockerfile

@@ -26,25 +26,37 @@ RUN wget -qO - http://repo.radeon.com/rocm/rocm.gpg.key | apt-key add - && \
 RUN sh -c "echo deb http://mirrors.kernel.org/ubuntu focal main universe | tee -a /etc/apt/sources.list"
 RUN amdgpu-install -y --usecase=rocm --no-dkms
 
+## Sccache binary built from source for ROCm
+ARG SCCACHE_REPO_URL=http://compute-artifactory.amd.com/artifactory/rocm-generic-experimental/rocm-sccache
+ENV SCCACHE_INSTALL_LOCATION=/usr/local/.cargo/bin
+RUN mkdir -p ${SCCACHE_INSTALL_LOCATION} && \
+curl ${SCCACHE_REPO_URL}/portable/0.2.16/sccache-0.2.16-alpha.1-rocm --output ${SCCACHE_INSTALL_LOCATION}/sccache && \
+chmod +x ${SCCACHE_INSTALL_LOCATION}/sccache
+ENV PATH=$PATH:${SCCACHE_INSTALL_LOCATION}
+
 # Install dependencies
 RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --allow-unauthenticated \
     build-essential \
-    ccache \
     cmake \
+    ccache \
     git \
     hip-rocclr \
+    iputils-ping \
     jq \
     libelf-dev \
     libncurses5-dev \
     libnuma-dev \
     libpthread-stubs0-dev \
     llvm-amdgpu \
+    net-tools \
     pkg-config \
     python \
     python3 \
     python3-dev \
     python3-pip \
+    redis \
     sshpass \
+    stunnel \
     software-properties-common \
     vim \
     nano \
@@ -62,7 +74,7 @@ RUN gunzip /usr/local/bin/ninja.gz
 RUN chmod a+x /usr/local/bin/ninja
 RUN git clone https://github.com/nico/ninjatracing.git
 # Update the cmake to the latest version
-RUN pip install --upgrade cmake
+RUN pip install --upgrade cmake==3.27.5
 
 # Setup ubsan environment to printstacktrace
 RUN ln -s /usr/bin/llvm-symbolizer-3.8 /usr/local/bin/llvm-symbolizer
@@ -77,9 +89,9 @@ ARG PREFIX=/opt/rocm
 RUN pip3 install --upgrade pip
 RUN pip3 install sqlalchemy==1.4.46
 RUN pip3 install pymysql
-RUN pip3 install pandas
+RUN pip3 install pandas==2.0.3
 RUN pip3 install setuptools-rust
-RUN pip3 install sshtunnel
+RUN pip3 install sshtunnel==0.4.0
 # Setup ubsan environment to printstacktrace
 ENV UBSAN_OPTIONS=print_stacktrace=1
 
@@ -115,6 +127,8 @@ RUN if [ "$compiler_version" = "amd-stg-open" ] && [ "$compiler_commit" != "" ];
     else echo "using the release compiler"; \
     fi
 
+#clean-up the deb package
+RUN sh -c "rm -rf amdgpu-install*"
 
 #ENV HIP_CLANG_PATH='/llvm-project/build/bin'
 #RUN sh -c "echo HIP_CLANG_PATH = '$HIP_CLANG_PATH'"

Jenkinsfile

@@ -65,10 +65,10 @@ def getDockerImageName(){
 }
 
 def check_host() {
-    if ("${env.CK_CCACHE}" != "null"){
-        def CCACHE_SERVER="${env.CK_CCACHE.split(':')[0]}"
-        echo "ccache server: ${CCACHE_SERVER}"
-        sh '''ping -c 1 -p 6379 "${CCACHE_SERVER}" | echo $? > tmp.txt'''
+    if ("${env.CK_SCCACHE}" != "null"){
+        def SCCACHE_SERVER="${env.CK_SCCACHE.split(':')[0]}"
+        echo "sccache server: ${SCCACHE_SERVER}"
+        sh '''ping -c 1 -p 6379 "${SCCACHE_SERVER}" | echo $? > tmp.txt'''
         def output = readFile(file: "tmp.txt")
         echo "tmp.txt contents: \$output"
         return (output != "0")
@@ -96,24 +96,9 @@ def build_compiler(){
 
 def getDockerImage(Map conf=[:]){
     env.DOCKER_BUILDKIT=1
-    def prefixpath = conf.get("prefixpath", "/opt/rocm") // prefix:/opt/rocm
+    def prefixpath = conf.get("prefixpath", "/opt/rocm")
     def no_cache = conf.get("no_cache", false)
     def dockerArgs = "--build-arg BUILDKIT_INLINE_CACHE=1 --build-arg PREFIX=${prefixpath} --build-arg compiler_version='${params.COMPILER_VERSION}' --build-arg compiler_commit='${params.COMPILER_COMMIT}' --build-arg ROCMVERSION='${params.ROCMVERSION}' "
-    echo "ccache server: ${env.CK_CCACHE}"
-    if(env.CK_CCACHE)
-    {
-        if(check_host())
-        {
-            echo "FOUND CCACHE SERVER: ${env.CK_CCACHE}"
-        }
-        else 
-        {
-            echo "CCACHE SERVER: ${env.CK_CCACHE} NOT FOUND, got ${check_host} response"
-        }
-        dockerArgs = dockerArgs + " --build-arg CCACHE_SECONDARY_STORAGE='redis://${env.CK_CCACHE}' --build-arg COMPILER_LAUNCHER='ccache' "
-        env.CCACHE_DIR = """/tmp/ccache_store"""
-        env.CCACHE_SECONDARY_STORAGE="""redis://${env.CK_CCACHE}"""
-    }
     if(no_cache)
     {
         dockerArgs = dockerArgs + " --no-cache "
@@ -142,21 +127,6 @@ def buildDocker(install_prefix){
     def image_name = getDockerImageName()
     echo "Building Docker for ${image_name}"
     def dockerArgs = "--build-arg BUILDKIT_INLINE_CACHE=1 --build-arg PREFIX=${install_prefix} --build-arg compiler_version='${params.COMPILER_VERSION}' --build-arg compiler_commit='${params.COMPILER_COMMIT}' --build-arg ROCMVERSION='${params.ROCMVERSION}' "
-    echo "ccache server: ${env.CK_CCACHE}"
-    if(env.CK_CCACHE)
-    {
-        if(check_host())
-        {
-            echo "FOUND CCACHE SERVER: ${env.CK_CCACHE}"
-        }
-        else 
-        {
-            echo "CCACHE SERVER: ${env.CK_CCACHE} NOT FOUND, got ${check_host} response"
-        }
-        dockerArgs = dockerArgs + " --build-arg CCACHE_SECONDARY_STORAGE='redis://${env.CK_CCACHE}' --build-arg COMPILER_LAUNCHER='ccache' "
-        env.CCACHE_DIR = """/tmp/ccache_store"""
-        env.CCACHE_SECONDARY_STORAGE="""redis://${env.CK_CCACHE}"""
-    }
 
     echo "Build Args: ${dockerArgs}"
     try{
@@ -219,13 +189,9 @@ def cmake_build(Map conf=[:]){
     }else{
         setup_args = " -DCMAKE_BUILD_TYPE=release" + setup_args
     }
-    if(env.CK_CCACHE)
-    {
-        setup_args = " -DCMAKE_CXX_COMPILER_LAUNCHER='ccache' -DCMAKE_C_COMPILER_LAUNCHER='ccache' " + setup_args
-    }
-    echo "ccache server: ${env.CK_CCACHE}"
 
     def pre_setup_cmd = """
+            #!/bin/bash
             echo \$HSA_ENABLE_SDMA
             ulimit -c unlimited
             rm -rf build
@@ -234,6 +200,46 @@ def cmake_build(Map conf=[:]){
             mkdir install
             cd build
         """
+    def invocation_tag=""
+    if (setup_args.contains("gfx11")){
+        invocation_tag="gfx11"
+    }
+    if (setup_args.contains("gfx10")){
+        invocation_tag="gfx10"
+    }
+    if (setup_args.contains("gfx90")){
+        invocation_tag="gfx90"
+    }
+    if (setup_args.contains("gfx94")){
+        invocation_tag="gfx94"
+    }
+    if(check_host() && params.USE_SCCACHE && "${env.CK_SCCACHE}" != "null" && "${invocation_tag}" != "") {
+        pre_setup_cmd = pre_setup_cmd + """
+            #!/bin/bash
+            export ROCM_PATH=/opt/rocm
+            export SCCACHE_ENABLED=true
+            export SCCACHE_LOG_LEVEL=debug
+            export SCCACHE_IDLE_TIMEOUT=14400
+            export COMPILERS_HASH_DIR=/tmp/.sccache
+            export SCCACHE_BIN=/usr/local/.cargo/bin/sccache
+            export SCCACHE_EXTRAFILES=/tmp/.sccache/rocm_compilers_hash_file
+            export SCCACHE_REDIS="redis://${env.CK_SCCACHE}"
+            echo "connect = ${env.CK_SCCACHE}" >> ../script/redis-cli.conf
+            export SCCACHE_C_CUSTOM_CACHE_BUSTER="${invocation_tag}"
+            echo \$SCCACHE_C_CUSTOM_CACHE_BUSTER
+            stunnel ../script/redis-cli.conf
+            (
+                set -e
+                ../script/sccache_wrapper.sh --enforce_redis
+            )
+            error_code=\$?
+            if [ \$error_code -ne 0 ]; then
+                echo "could not connect to the redis server. using sccache locally."
+                ../script/sccache_wrapper.sh
+            fi
+        """
+        setup_args = " -DCMAKE_CXX_COMPILER_LAUNCHER=sccache -DCMAKE_C_COMPILER_LAUNCHER=sccache " + setup_args
+    }
     def setup_cmd = conf.get("setup_cmd", "${cmake_envs} cmake ${setup_args}   .. ")
     // reduce parallelism when compiling, clang uses too much memory
     def nt = nthreads()
@@ -251,7 +257,7 @@ def cmake_build(Map conf=[:]){
     sh cmd
 
     // Only archive from master or develop
-    if (package_build == true && (env.BRANCH_NAME == "develop" || env.BRANCH_NAME == "master")) {
+    if (package_build == true && (env.BRANCH_NAME == "develop" || env.BRANCH_NAME == "amd-master")) {
         archiveArtifacts artifacts: "build/*.deb", allowEmptyArchive: true, fingerprint: true
     }
 }
@@ -635,7 +641,7 @@ def process_results(Map conf=[:]){
 //launch develop branch daily at 23:00 UT in FULL_QA mode and at 19:00 UT with latest staging compiler version
 CRON_SETTINGS = BRANCH_NAME == "develop" ? '''0 23 * * * % RUN_FULL_QA=true;ROCMVERSION=5.7;COMPILER_VERSION=
                                               0 21 * * * % ROCMVERSION=5.7;COMPILER_VERSION=;COMPILER_COMMIT=
-                                              0 19 * * * % BUILD_DOCKER=true;DL_KERNELS=true;COMPILER_VERSION=amd-stg-open;COMPILER_COMMIT=''' : ""
+                                              0 19 * * * % BUILD_DOCKER=true;DL_KERNELS=true;COMPILER_VERSION=amd-stg-open;COMPILER_COMMIT=;USE_SCCACHE=false''' : ""
 
 pipeline {
     agent none
@@ -682,7 +688,10 @@ pipeline {
             name: 'hipTensor_branch',
             defaultValue: 'mainline',
             description: 'Specify which branch of hipTensor to use (default: mainline)')
-
+        booleanParam(
+            name: "USE_SCCACHE",
+            defaultValue: true,
+            description: "Use the sccache for building CK (default: ON)")
     }
     environment{
         dbuser = "${dbuser}"

README.md

 # Composable Kernel
 
-## Methodology
+The Composable Kernel (CK) library provides a programming model for writing performance-critical
+kernels for machine learning workloads across multiple architectures (GPUs, CPUs, etc.). The CK library
+uses general purpose kernel languages, such as HIP C++.
 
-Composable Kernel (CK) library aims to provide a programming model for writing performance critical kernels for machine learning workloads across multiple architectures including GPUs, CPUs, etc, through general purpose kernel languages, like HIP C++.
+CK uses two concepts to achieve performance portability and code maintainability:
 
-CK utilizes two concepts to achieve performance portability and code maintainability:
 * A tile-based programming model
-* Algorithm complexity reduction for complex ML operators, using innovative technique we call "Tensor Coordinate Transformation".
+* Algorithm complexity reduction for complex machine learning (ML) operators. This uses an innovative
+   technique called *Tensor Coordinate Transformation*.
 
 ![ALT](/docs/data/ck_component.png "CK Components")
 
-## Code Structure
+The current CK library is structured into four layers:
 
-Current CK library are structured into 4 layers:
-* "Templated Tile Operators" layer
-* "Templated Kernel and Invoker" layer
-* "Instantiated Kernel and Invoker" layer
-* "Client API" layer
+* Templated Tile Operators
+* Templated Kernel and Invoker
+* Instantiated Kernel and Invoker
+* Client API
 
 ![ALT](/docs/data/ck_layer.png "CK Layers")
 
-## Documentation
+## General information
 
-Run the steps below to build documentation locally.
+To build our documentation locally, use the following code:
 
-```
+``` bash
 cd docs
 pip3 install -r sphinx/requirements.txt
 python3 -m sphinx -T -E -b html -d _build/doctrees -D language=en . _build/html
 ```
 
-## Contributors
-
-The list of developers and contributors is here: [Contributors](/CONTRIBUTORS.md)
+You can find a list of our developers and contributors on our [Contributors](/CONTRIBUTORS.md) page.
+page.
 
-## Citation
+```note
+If you use CK, cite us as follows:
 
-If you use CK, please use following citations:
-* CK paper will be freely available on arXiv soon: [Realizing Tensor Operators Using Coordinate Transformations and Tile Based Programming](???)
+* [Realizing Tensor Operators Using Coordinate Transformations and Tile Based Programming](???):
+  This paper will be available on arXiv soon.
 * [CITATION.cff](/CITATION.cff)
+```
 
-## License
+CK is released under the **[MIT license](/LICENSE)**.
 
-CK is released under the MIT license. [License File](/LICENSE)
+## Building CK
 
+We recommend building CK inside Docker containers, which include all necessary packages. Pre-built
+Docker images are available on [DockerHub](https://hub.docker.com/r/rocm/composable_kernel/tags).
 
-# Build CK
+1. To build a new Docker image, use the Dockerfile provided with the source code:
 
-## Build docker image
+    ```bash
+    DOCKER_BUILDKIT=1 docker build -t ck:latest -f Dockerfile .
+    ```
 
-```bash
-DOCKER_BUILDKIT=1 docker build -t ck:latest -f Dockerfile .
-```
-Pre-built dockers are available from this public repo: 
-https://hub.docker.com/r/rocm/composable_kernel/tags
+2. Launch the Docker container:
 
-## Launch docker
+    ```bash
+    docker run                                     \
+    -it                                            \
+    --privileged                                   \
+    --group-add sudo                               \
+    -w /root/workspace                             \
+    -v ${PATH_TO_LOCAL_WORKSPACE}:/root/workspace  \
+    ck:latest                                      \
+    /bin/bash
+    ```
 
-```bash
-docker run                                     \
--it                                            \
---privileged                                   \
---group-add sudo                               \
--w /root/workspace                             \
--v ${PATH_TO_LOCAL_WORKSPACE}:/root/workspace  \
-ck:latest                                      \
-/bin/bash
-```
+3. Clone CK source code from the GitHub repository and start the build:
 
-## Build CK
+    ```bash
+    git clone https://github.com/ROCmSoftwarePlatform/composable_kernel.git && \
+    cd composable_kernel && \
+    mkdir build && \
+    cd build
+    ```
 
-```bash
-mkdir build && cd build
+    You must set the `GPU_TARGETS` macro to specify the GPU target architecture(s) you want
+    to run CK on. You can specify single or multiple architectures. If you specify multiple architectures,
+    use a semicolon between each; for example, `gfx908;gfx90a;gfx940`.
 
-# Need to specify target ID, example below is for gfx908 and gfx90a
+    ```bash
+    cmake                                                                                             \
+    -D CMAKE_PREFIX_PATH=/opt/rocm                                                                    \
+    -D CMAKE_CXX_COMPILER=/opt/rocm/bin/hipcc                                                         \
+    -D CMAKE_BUILD_TYPE=Release                                                                       \
+    -D GPU_TARGETS="gfx908;gfx90a"                                                                    \
+    ..
+    ```
 
-cmake                                                                                             \
--D CMAKE_PREFIX_PATH=/opt/rocm                                                                    \
--D CMAKE_CXX_COMPILER=/opt/rocm/bin/hipcc                                                         \
--D CMAKE_BUILD_TYPE=Release                                                                       \
--D GPU_TARGETS="gfx908;gfx90a"                                                                    \
-..
-```
+    If you don't set `GPU_TARGETS` on the cmake command line, CK is built for all GPU targets
+    supported by the current compiler (this may take a long time).
 
-If GPU_TARGETS is not set on the cmake command line, CK will be built for all targets supported by the 
-current compiler.
+4. Build the entire CK library:
 
+    ```bash
+    make -j
+    ```
 
-Additional cmake flags can be used to significantly speed-up the build:
+5. Install CK:
 
-INSTANCES_ONLY (by default is OFF) must be set to ON in order to build only the instances and library
-while skipping all tests, examples, and profiler. This is useful for libraries that use CK as a dependency.
+    ```bash
+    make -j install
+    ```
 
-DTYPES (by default not set) can be set to any subset of "fp64;fp32;fp16;fp8;bf16;int8" to build instances 
-of select data types only. Currently, building of int8 instances is taking a lot of time (the compiler fix is in the works).
+## Optional post-install steps
 
-DL_KERNELS (by default is OFF) must be set to ON in order to build the gemm_dl and batched_gemm_multi_d_dl 
-instances. Those instances are only needed for the NAVI2x platforms.
+* Build examples and tests:
 
-### Build examples and tests
+    ```bash
+    make -j examples tests
+    ```
 
-```bash
- make -j examples tests
- make test
-```
+* Build and run all examples and tests:
+
+    ```bash
+    make -j check
+    ```
 
-Instructions for running each individual examples are under [example](/example)
+    You can find instructions for running each individual example in [example](/example).
 
+* Build ckProfiler:
 
-## Build ckProfiler
+    ```bash
+    make -j ckProfiler
+    ```
+
+    You can find instructions for running ckProfiler in [profiler](/profiler).
+
+Note the `-j` option for building with multiple threads in parallel. This speeds up the build significantly.
+Depending on the number of CPU cores and the amount of RAM on your system, you may want to
+limit the number of threads. For example, if you have a 128-core CPU and 64 Gb of RAM.
+
+By default, `-j` launches one thread per CPU core, which can cause the build to run out of memory and
+crash. In such cases, you can reduce the number of threads to 32 by using `-j32`.
+
+Additional cmake flags can be used to significantly speed-up the build:
+
+* `INSTANCES_ONLY` (default is OFF) must be set to ON in order to build only the instances and library
+  while skipping all tests, examples, and profiler. This is useful in cases when you plan to use CK as a
+  dependency and don't plan to run any examples or tests.
+
+* `DTYPES` (default is not set) can be set to any subset of "fp64;fp32;fp16;fp8;bf16;int8" to build
+  instances of select data types only. The main default data types are fp32 and fp16; you can safely skip
+  other data types.
+
+* `DL_KERNELS` (default is OFF) must be set to ON in order to build instances, such as `gemm_dl` or
+  `batched_gemm_multi_d_dl`. These instances are useful on architectures like the NAVI2x, as most
+  other platforms have faster instances, such as `xdl` or `wmma`, available.
+
+## Using sccache for building
+
+The default CK Docker images come with a pre-installed version of sccache, which supports clang
+being used as hip-compiler (" -x hip"). Using sccache can help reduce the time to re-build code from
+hours to 1-2 minutes. In order to invoke sccache, you need to run:
 
 ```bash
- make -j ckProfiler
+ sccache --start-server
 ```
-Instructions for running ckProfiler are under [profiler](/profiler)
 
-## Install CK
+then add the following flags to the cmake command line:
 
 ```bash
-make install
+ -DCMAKE_CXX_COMPILER_LAUNCHER=sccache -DCMAKE_C_COMPILER_LAUNCHER=sccache
 ```
 
+You may need to clean up the build folder and repeat the cmake and make steps in order to take
+advantage of the sccache during subsequent builds.
+
 ## Using CK as pre-built kernel library
 
-Instructions for using CK as a pre-built kernel library are under [client_example](/client_example)
+You can find instructions for using CK as a pre-built kernel library in [client_example](/client_example).
 
-## Contributing
+## Contributing to CK
 
-When you contribute to Composable Kernel, make sure to run `clang-format` on all the changed files. We highly recommend using git hooks that are managed by the `pre-commit` framework. To install hooks, run:
+When you contribute to CK, make sure you run `clang-format` on all changed files. We highly
+recommend using git hooks that are managed by the `pre-commit` framework. To install hooks, run:
 
 ```bash
 sudo script/install_precommit.sh
 ```
 
-This way, `pre-commit` will add the appropriate hooks to your local repository and automatically run `clang-format` (and possibly additional checks) before any commit is created.
+With this approach, `pre-commit` adds the appropriate hooks to your local repository and
+automatically runs `clang-format` (and possibly additional checks) before any commit is created.
 
 If you need to uninstall hooks from the repository, you can do so by running the following command:
 
@@ -141,14 +191,5 @@ If you need to uninstall hooks from the repository, you can do so by running the
 script/uninstall_precommit.sh
 ```
 
-If for any reason, you need to temporarily disable precommit hooks, you can add the `--no-verify` option to the `git commit` command.
-
-## Caveat
-### Kernel Timing and Verification
-
-CK's own kernel timer will warn up kernel once, and then run it multiple times
-to get average kernel time. For some kernels that use atomic add, this will cause
-output buffer to be accumulated multiple times, causing verification failure.
-To work around it, do not use CK's own timer and do verification at the same time.
-CK's own timer and verification in each example and ckProfiler can be enabled or
-disabled from command line.
+If you need to temporarily disable pre-commit hooks, you can add the `--no-verify` option to the
+`git commit` command.

script/redis-cli.conf

+fips = no
+setuid = root
+setgid = root
+pid = /var/run/stunnel.pid
+debug = 7
+options = NO_SSLv2
+options = NO_SSLv3
+[redis-cli]
+client = yes
+accept = 127.0.0.1:6379

script/sccache_wrapper.sh

+#!/bin/bash
+set -e
+COMPILERS_HASH_DIR=${COMPILERS_HASH_DIR:-"/tmp/.sccache"}
+SCCACHE_EXTRAFILES=${SCCACHE_EXTRAFILES:-"${COMPILERS_HASH_DIR}/rocm_compilers_hash_file"}
+SCCACHE_BIN=${SCCACHE_BIN:-"${SCCACHE_INSTALL_LOCATION}/sccache"}
+ENFORCE_REDIS="false"
+while [ "$1" != "" ];
+do
+    case $1 in
+        --enforce_redis )
+            shift; ENFORCE_REDIS="true" ;;
+        --no-hipcc )
+            shift ;;
+        *)
+            break ;;
+    esac
+done
+setup_rocm_compilers_hash_file() {
+    mkdir -p "$COMPILERS_HASH_DIR"
+    HIPCC_MD5="$(md5sum "${ROCM_PATH}/bin/hipcc")"
+    pushd "${ROCM_PATH}/amdgcn/bitcode"
+        DEVICELIBS_BITCODES_MD5="$(find . -type f -exec md5sum {} \; | sort | md5sum)"
+    popd
+    HIPCC_HASH_VALUE="${HIPCC_MD5%% *}"
+    DEVICELIBS_BITCODES_HASH_VALUE="${DEVICELIBS_BITCODES_MD5%% *}"
+    # MD5 checksums of clang and clang-offload-bundler cannot be used since they will keep changing
+    # if the ROCM_PATH changes, ie; for every mainline build.
+    # This is because ROCM_PATH gets encoded into the clang/clang-offload-bundler binaries as part
+    # of RPATH.
+    # The versions themselves contain the commit hash of the compiler repo at the time of building.
+    # Hence, this should be a viable alternative to using the binary checksum itself.
+    CLANG_VERSION="$("${ROCM_PATH}/llvm/bin/clang" --version | head -n 1)"
+    CLANG_OFFLOAD_BUNDLER_VERSION="$("${ROCM_PATH}/llvm/bin/clang-offload-bundler" --version | head -n 1)"
+    printf '%s: %s\n' 'clang version' "${CLANG_VERSION}" | tee -a "$SCCACHE_EXTRAFILES"
+    printf '%s: %s\n' 'clang-offload-bundler version' "${CLANG_OFFLOAD_BUNDLER_VERSION}" | tee -a "$SCCACHE_EXTRAFILES"
+    printf '%s: %s\n' 'hipcc md5sum' "${HIPCC_HASH_VALUE}" | tee -a "$SCCACHE_EXTRAFILES"
+    printf '%s: %s\n' 'devicelibs bitcode md5sum' "${DEVICELIBS_BITCODES_HASH_VALUE}" | tee -a "$SCCACHE_EXTRAFILES"
+    echo "sccache-wrapper: compilers hash file set up at ${SCCACHE_EXTRAFILES}"
+    cat "$SCCACHE_EXTRAFILES"
+}
+if [ "${ENFORCE_REDIS}" == "true" ]; then
+    if [ -z "${SCCACHE_REDIS}" ]; then
+        echo "SCCACHE_REDIS not set. Not wrapping compilers with sccache."
+        exit 10
+    else
+        response=$(redis-cli -u ${SCCACHE_REDIS} ping) || true
+        if [ "${response}" != "PONG" ]; then
+            echo "Redis server unreachable. Not wrapping compilers with sccache."
+            exit 20
+        fi
+    fi
+fi
+setup_rocm_compilers_hash_file
+$SCCACHE_BIN --version
+$SCCACHE_BIN --start-server
+