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@webgpu/shaderc
Advanced tools
A collection of tools, libraries and tests for shader compilation. At the moment it includes:
glslc
, a command line compiler for GLSL/HLSL to SPIR-V, andlibshaderc
, a library API for doing the same.Shaderc wraps around core functionality in glslang and SPIRV-Tools. Shaderc aims to to provide:
#include
supportShaderc has maintained backward compatibility for quite some time, and we don't anticipate any breaking changes. Ongoing enhancements are described in the CHANGES file.
Shaderc has been shipping in the Android NDK since version r12b. (The NDK build uses sources from https://android.googlesource.com/platform/external/shaderc/. Those repos are downstream from GitHub.) We currently require r18b.
For licensing terms, please see the LICENSE
file. If interested in
contributing to this project, please see CONTRIBUTING.md
.
This is not an official Google product (experimental or otherwise), it is just
code that happens to be owned by Google. That may change if Shaderc gains
contributions from others. See the CONTRIBUTING.md
file
for more information. See also the AUTHORS
and
CONTRIBUTORS
files.
android_test/
: a small Android application to verify compilationcmake/
: CMake utility functions and configuration for Shadercexamples/
: Example programsglslc/
: an executable to compile GLSL to SPIR-Vlibshaderc/
: a library for compiling shader strings into SPIR-Vlibshaderc_util/
: a utility library used by multiple shaderc componentsthird_party/
: third party open source packages; see belowutils/
: utility scripts for ShadercShaderc depends on glslang, the Khronos reference compiler for GLSL.
Shaderc depends on SPIRV-Tools for assembling, disassembling, and transforming SPIR-V binaries.
Shaderc depends on the Google Test testing framework.
In the following sections, $SOURCE_DIR
is the directory you intend to clone
Shaderc into.
Experimental: On Windows, instead of building from source, you can get the artifacts built by Appveyor for the top of the tree of the master branch under the "Artifacts" tab of a certain job.
git clone https://github.com/google/shaderc $SOURCE_DIR
cd $SOURCE_DIR
./utils/git-sync-deps
cd $SOURCE_DIR/
Note: The known-good
branch of the repository contains a
known_good.json
file describing a set of repo URLs and specific commits that have been
tested together. This information is updated periodically, and typically
matches the latest update of these sources in the development branch
of the Android NDK.
The known-good
branch also contains a
update_shaderc.py
script that will read the JSON file and checkout those specific commits for you.
Ensure you have the requisite tools -- see the tools subsection below.
Decide where to place the build output. In the following steps, we'll call it
$BUILD_DIR
. Any new directory should work. We recommend building outside
the source tree, but it is also common to build in a (new) subdirectory of
$SOURCE_DIR
, such as $SOURCE_DIR/build
.
4a) Build (and test) with Ninja on Linux or Windows:
cd $BUILD_DIR
cmake -GNinja -DCMAKE_BUILD_TYPE={Debug|Release|RelWithDebInfo} $SOURCE_DIR
ninja
ctest # optional
4b) Or build (and test) with MSVC on Windows:
cd $BUILD_DIR
cmake $SOURCE_DIR
cmake --build . --config {Release|Debug|MinSizeRel|RelWithDebInfo}
ctest -C {Release|Debug|MinSizeRel|RelWithDebInfo}
4c) Or build with MinGW on Linux for Windows: (Skip building threaded unit tests due to Googletest bug 606)
cd $BUILD_DIR
cmake -GNinja -DCMAKE_BUILD_TYPE={Debug|Release|RelWithDebInfo} $SOURCE_DIR \
-DCMAKE_TOOLCHAIN_FILE=$SOURCE_DIR/cmake/linux-mingw-toolchain.cmake \
-Dgtest_disable_pthreads=ON
ninja
After a successful build, you should have a glslc
executable somewhere under
the $BUILD_DIR/glslc/
directory, as well as a libshaderc
library somewhere
under the $BUILD_DIR/libshaderc/
directory.
The default behavior on MSVC is to link with the static CRT. If you would like
to change this behavior -DSHADERC_ENABLE_SHARED_CRT
may be passed on the
cmake configure line.
See the libshaderc README for more on using the library API in your project.
For building, testing, and profiling Shaderc, the following tools should be installed regardless of your OS:
On Linux, the following tools should be installed:
gcov
: for testing code
coverage, provided by the gcc
package on Ubuntu.lcov
: a graphical frontend
for gcov
, provided by the lcov
package on Ubuntu.genhtml
: for creating reports in html
format from lcov
output, provided by the lcov
package on Ubuntu.On Linux, if cross compiling to Windows:
mingw
: A GCC-based cross compiler targeting Windows
so that generated executables use the Micrsoft C runtime libraries.On Windows, the following tools should be installed and available on your path:
diff
.Optionally, the following tools may be installed on any OS:
asciidoctor
: for generating documentation.
pygments.rb
required by
asciidoctor
for syntax highlighting.nosetests
: for testing the Python code.Please make sure you have the Docker engine installed on your machine.
To create a Docker image containing Shaderc command line tools, issue the
following command in ${SOURCE_DIR}
: docker build -t <IMAGE-NAME> .
.
The created image will have all the command line tools installed at
/usr/local
internally, and a data volume mounted at /code
.
Assume <IMAGE-NAME>
is shaderc/shaderc
from now on.
To invoke a tool from the above created image in a Docker container:
docker run shaderc/shaderc glslc --version
Alternatively, you can mount a host directory (e.g., example
) containing
the shaders you want to manipulate and run different kinds of tools via
an interactive shell in the container:
$ docker run -i -t -v `pwd`/example:/code shaderc/shaderc
/code $ ls
test.vert
/code $ glslc -c -o - test.vert | spirv-dis
We track bugs using GitHub -- click on the "Issues" button on the project's GitHub page.
On Linux, you can obtain test coverage as follows:
cd $BUILD_DIR
cmake -GNinja -DCMAKE_BUILD_TYPE=Debug -DENABLE_CODE_COVERAGE=ON $SOURCE_DIR
ninja
ninja report-coverage
Then the coverage report can be found under the $BUILD_DIR/coverage-report
directory.
Bindings are maintained by third parties, may contain content offered under a different license, and may reference or contain older versions of Shaderc and its dependencies.
FAQs
Unknown package
The npm package @webgpu/shaderc receives a total of 9 weekly downloads. As such, @webgpu/shaderc popularity was classified as not popular.
We found that @webgpu/shaderc demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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