diff --git a/Dockerfile b/Dockerfile
index 48ee97eec2..38f234943c 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -44,7 +44,6 @@ ENV PATH=$PATH:${SCCACHE_INSTALL_LOCATION}
RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --allow-unauthenticated \
build-essential \
cmake \
- ccache \
git \
hip-rocclr \
iputils-ping \
@@ -74,6 +73,10 @@ RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --allow-
apt-get clean && \
rm -rf /var/lib/apt/lists/*
+#Install latest ccache
+RUN git clone https://github.com/ccache/ccache.git && \
+ cd ccache && mkdir build && cd build && cmake .. && make install
+
#Install ninja build tracing tools
RUN wget -qO /usr/local/bin/ninja.gz https://github.com/ninja-build/ninja/releases/latest/download/ninja-linux.zip
RUN gunzip /usr/local/bin/ninja.gz
@@ -111,7 +114,7 @@ ENV LANG=C.UTF-8
RUN groupadd -f render
# Install the new rocm-cmake version
-RUN git clone -b master https://github.com/RadeonOpenCompute/rocm-cmake.git && \
+RUN git clone -b master https://github.com/ROCm/rocm-cmake.git && \
cd rocm-cmake && mkdir build && cd build && \
cmake .. && cmake --build . && cmake --build . --target install
@@ -123,7 +126,7 @@ RUN sh -c "echo compiler version = '$compiler_version'"
RUN sh -c "echo compiler commit = '$compiler_commit'"
RUN if ( [ "$compiler_version" = "amd-staging" ] || [ "$compiler_version" = "amd-mainline-open" ] ) && [ "$compiler_commit" = "" ]; then \
- git clone -b "$compiler_version" https://github.com/RadeonOpenCompute/llvm-project.git && \
+ git clone -b "$compiler_version" https://github.com/ROCm/llvm-project.git && \
cd llvm-project && mkdir build && cd build && \
cmake -DCMAKE_INSTALL_PREFIX=/opt/rocm/llvm -DCMAKE_BUILD_TYPE=Release -DLLVM_ENABLE_ASSERTIONS=1 -DLLVM_TARGETS_TO_BUILD="AMDGPU;X86" -DLLVM_ENABLE_PROJECTS="clang;lld" -DLLVM_ENABLE_RUNTIMES="compiler-rt" ../llvm && \
make -j 8 ; \
@@ -131,7 +134,7 @@ RUN if ( [ "$compiler_version" = "amd-staging" ] || [ "$compiler_version" = "amd
fi
RUN if ( [ "$compiler_version" = "amd-staging" ] || [ "$compiler_version" = "amd-mainline-open" ] ) && [ "$compiler_commit" != "" ]; then \
- git clone -b "$compiler_version" https://github.com/RadeonOpenCompute/llvm-project.git && \
+ git clone -b "$compiler_version" https://github.com/ROCm/llvm-project.git && \
cd llvm-project && git checkout "$compiler_commit" && echo "checking out commit $compiler_commit" && mkdir build && cd build && \
cmake -DCMAKE_INSTALL_PREFIX=/opt/rocm/llvm -DCMAKE_BUILD_TYPE=Release -DLLVM_ENABLE_ASSERTIONS=1 -DLLVM_TARGETS_TO_BUILD="AMDGPU;X86" -DLLVM_ENABLE_PROJECTS="clang;lld" -DLLVM_ENABLE_RUNTIMES="compiler-rt" ../llvm && \
make -j 8 ; \
diff --git a/dev-requirements.txt b/dev-requirements.txt
index d5d91f8c27..ca883c19e1 100644
--- a/dev-requirements.txt
+++ b/dev-requirements.txt
@@ -1,3 +1,3 @@
ROCm/rocm-recipes
-RadeonOpenCompute/rocm-cmake@04f694df2a8dc9d7e35fa4dee4ba5fa407ec04f8 --build
+ROCm/rocm-cmake@04f694df2a8dc9d7e35fa4dee4ba5fa407ec04f8 --build
danmar/cppcheck@2.9
diff --git a/docs/Contributors_Guide.rst b/docs/Contributors_Guide.rst
index b91984357a..3788ba609c 100644
--- a/docs/Contributors_Guide.rst
+++ b/docs/Contributors_Guide.rst
@@ -17,7 +17,7 @@ Getting started
`Composable Kernel User Guide `_.
It provides insight into the core concepts, environment configuration, and steps to obtain or
build the library. You can also find some of this information in the
- `README file `_
+ `README file `_
on the project's GitHub page.
#. **Additional reading:** The blog post `AMD Composable Kernel library: efficient fused kernels for AI apps with just a few lines of code `_ provides a deeper understanding of the CK library and showcases its performance capabilities.
`_
@@ -33,7 +33,7 @@ You can make an impact by reporting issues or proposing code enhancements throug
Reporting issues
----------------
-Use `Github issues `_
+Use `Github issues `_
to track public bugs and enhancement requests.
If you encounter an issue with the library, please check if the problem has already been
@@ -68,7 +68,7 @@ Creating Pull Requests
----------------------
You can submit `Pull Requests (PR) on GitHub
-`_.
+`_.
All contributors are required to develop their changes on a separate branch and then create a
pull request to merge their changes into the `develop` branch, which is the default
@@ -89,7 +89,7 @@ When submitting a Pull Request you should:
the project's root directory. We leverage `pre-commit` to run `clang-format` automatically. We
highly recommend contributors utilize this method to maintain consistent code formatting.
Instructions on setting up `pre-commit` can be found in the project's
- `README file `_
+ `README file `_
* Link your PR to any related issues:
diff --git a/docs/dockerhub.rst b/docs/dockerhub.rst
index fb89bef72b..21121f1b82 100644
--- a/docs/dockerhub.rst
+++ b/docs/dockerhub.rst
@@ -38,7 +38,7 @@ The docker images have everything you need for running CK including:
* `ROCm `_
* `CMake `_
-* `Compiler `_
+* `Compiler `_
* `Composable Kernel library `_
Running the docker container
@@ -97,5 +97,5 @@ Editing the docker image
=======================
If you want to customize the docker image, edit the
-`Dockerfile `_
+`Dockerfile `_
from the GitHub repository to suit your needs.
diff --git a/docs/tutorial_hello_world.rst b/docs/tutorial_hello_world.rst
index d89331e579..c31460785b 100644
--- a/docs/tutorial_hello_world.rst
+++ b/docs/tutorial_hello_world.rst
@@ -32,7 +32,7 @@ CK library acceleration features are based on:
If you need more technical details and benchmarking results read the following
`blog post `_.
-To download the library visit the `composable_kernel repository `_.
+To download the library visit the `composable_kernel repository `_.
Hardware targets
================
@@ -58,7 +58,7 @@ This tutorial is based on the use of docker images as explained in :ref:`docker-
.. note::
- You can also `install ROCm `_ on your system, clone the `Composable Kernel repository `_ on GitHub, and use that to build and run the examples using the commands described below.
+ You can also `install ROCm `_ on your system, clone the `Composable Kernel repository `_ on GitHub, and use that to build and run the examples using the commands described below.
Both the docker container and GitHub repository include the Composable Kernel library. Navigate to the library::