skia2/site/user/build.md
Hal Canary f72728e3f1 documentation/build, BUILDCONFIG: Visual Studio Build Tools 2019
deprecate 2015

Docs-Preview: https://skia.org/?cl=226502
Change-Id: I32cd75937ebdc774138499c4cd79c1eda29bd0f6
Reviewed-on: https://skia-review.googlesource.com/c/skia/+/226502
Commit-Queue: Hal Canary <halcanary@google.com>
Reviewed-by: Brian Osman <brianosman@google.com>
2019-07-12 14:17:16 +00:00

13 KiB

How to build Skia

Make sure you have first followed the instructions to download Skia.

Skia uses GN to configure its builds.

is_official_build and Third-party Dependencies

Most users of Skia should set is_official_build=true, and most developers should leave it to its false default.

This mode configures Skia in a way that's suitable to ship: an optimized build with no debug symbols, dynamically linked against its third-party dependencies using the ordinary library search path.

In contrast, the developer-oriented default is an unoptimized build with full debug symbols and all third-party dependencies built from source and embedded into libskia. This is how we do all our manual and automated testing.

Skia offers several features that make use of third-party libraries, like libpng, libwebp, or libjpeg-turbo to decode images, or ICU and sftnly to subset fonts. All these third-party dependencies are optional and can be controlled by a GN argument that looks something like skia_use_foo for appropriate foo.

If skia_use_foo is enabled, enabling skia_use_system_foo will build and link Skia against the headers and libaries found on the system paths. is_official_build=true enables all skia_use_system_foo by default. You can use extra_cflags and extra_ldflags to add include or library paths if needed.

A note on software backend performance

A number of routines in Skia's software backend have been written to run fastest when compiled by Clang. If you depend on software rasterization, image decoding, or color space conversion and compile Skia with GCC, MSVC or another compiler, you will see dramatically worse performance than if you use Clang.

This choice was only a matter of prioritization; there is nothing fundamentally wrong with non-Clang compilers. So if this is a serious issue for you, please let us know on the mailing list.

Quickstart

Run GN to generate your build files.

bin/gn gen out/Static --args='is_official_build=true'
bin/gn gen out/Shared --args='is_official_build=true is_component_build=true'

If you find you don't have bin/gn, make sure you've run

python2 tools/git-sync-deps

GN allows fine-grained settings for developers and special situations.

bin/gn gen out/Debug
bin/gn gen out/Release  --args='is_debug=false'
bin/gn gen out/Clang    --args='cc="clang" cxx="clang++"'
bin/gn gen out/Cached   --args='cc_wrapper="ccache"'
bin/gn gen out/RTTI     --args='extra_cflags_cc=["-frtti"]'

To see all the arguments available, you can run

bin/gn args out/Debug --list

Having generated your build files, run Ninja to compile and link Skia.

ninja -C out/Static
ninja -C out/Shared
ninja -C out/Debug
ninja -C out/Release
ninja -C out/Clang
ninja -C out/Cached
ninja -C out/RTTI

If some header files are missing, install the corresponding dependencies

tools/install_dependencies.sh

Android

To build Skia for Android you need an Android NDK.

If you do not have an NDK and have access to CIPD, you can use one of these commands to fetch the NDK our bots use:

python2 infra/bots/assets/android_ndk_linux/download.py  -t /tmp/ndk
python2 infra/bots/assets/android_ndk_darwin/download.py -t /tmp/ndk
python2 infra/bots/assets/android_ndk_windows/download.py -t C:/ndk

When generating your GN build files, pass the path to your ndk and your desired target_cpu:

bin/gn gen out/arm   --args='ndk="/tmp/ndk" target_cpu="arm"'
bin/gn gen out/arm64 --args='ndk="/tmp/ndk" target_cpu="arm64"'
bin/gn gen out/x64   --args='ndk="/tmp/ndk" target_cpu="x64"'
bin/gn gen out/x86   --args='ndk="/tmp/ndk" target_cpu="x86"'

Other arguments like is_debug and is_component_build continue to work. Tweaking ndk_api gives you access to newer Android features like Vulkan.

To test on an Android device, push the binary and resources over, and run it as normal. You may find bin/droid convenient.

ninja -C out/arm64
adb push out/arm64/dm /data/local/tmp
adb push resources /data/local/tmp
adb shell "cd /data/local/tmp; ./dm --src gm --config gl"

ChromeOS

To cross-compile Skia for arm ChromeOS devices the following is needed:

  • Clang 4 or newer
  • An armhf sysroot
  • The (E)GL lib files on the arm chromebook to link against.

To compile Skia for an x86 ChromeOS device, one only needs Clang and the lib files.

If you have access to CIPD, you can fetch all of these as follows:

python2 infra/bots/assets/clang_linux/download.py  -t /opt/clang
python2 infra/bots/assets/armhf_sysroot/download.py -t /opt/armhf_sysroot
python2 infra/bots/assets/chromebook_arm_gles/download.py -t /opt/chromebook_arm_gles
python2 infra/bots/assets/chromebook_x86_64_gles/download.py -t /opt/chromebook_x86_64_gles

If you don't have authorization to use those assets, then see the README.md files for armhf_sysroot, chromebook_arm_gles, and chromebook_x86_64_gles for instructions on creating those assets.

Once those files are in place, generate the GN args that resemble the following:

#ARM
cc= "/opt/clang/bin/clang"
cxx = "/opt/clang/bin/clang++"

extra_asmflags = [
    "--target=armv7a-linux-gnueabihf",
    "--sysroot=/opt/armhf_sysroot/",
    "-march=armv7-a",
    "-mfpu=neon",
    "-mthumb",
]
extra_cflags=[
    "--target=armv7a-linux-gnueabihf",
    "--sysroot=/opt/armhf_sysroot",
    "-I/opt/chromebook_arm_gles/include",
    "-I/opt/armhf_sysroot/include/",
    "-I/opt/armhf_sysroot/include/c++/4.8.4/",
    "-I/opt/armhf_sysroot/include/c++/4.8.4/arm-linux-gnueabihf/",
    "-DMESA_EGL_NO_X11_HEADERS",
    "-funwind-tables",
]
extra_ldflags=[
    "--sysroot=/opt/armhf_sysroot",
    "-B/opt/armhf_sysroot/bin",
    "-B/opt/armhf_sysroot/gcc-cross",
    "-L/opt/armhf_sysroot/gcc-cross",
    "-L/opt/armhf_sysroot/lib",
    "-L/opt/chromebook_arm_gles/lib",
    "--target=armv7a-linux-gnueabihf",
]
target_cpu="arm"
skia_use_fontconfig = false
skia_use_system_freetype2 = false
skia_use_egl = true


# x86_64
cc= "/opt/clang/bin/clang"
cxx = "/opt/clang/bin/clang++"
extra_cflags=[
    "-I/opt/clang/include/c++/v1/",
    "-I/opt/chromebook_x86_64_gles/include",
    "-DMESA_EGL_NO_X11_HEADERS",
    "-DEGL_NO_IMAGE_EXTERNAL",
]
extra_ldflags=[
    "-stdlib=libc++",
    "-fuse-ld=lld",
    "-L/opt/chromebook_x86_64_gles/lib",
]
target_cpu="x64"
skia_use_fontconfig = false
skia_use_system_freetype2 = false
skia_use_egl = true

Compile dm (or another executable of your choice) with ninja, as per usual.

Push the binary to a chromebook via ssh and run dm as normal using the gles GPU config.

Most chromebooks by default have their home directory partition marked as noexec. To avoid "permission denied" errors, remember to run something like:

sudo mount -i -o remount,exec /home/chronos

Mac

Mac users may want to pass --ide=xcode to bin/gn gen to generate an Xcode project.

iOS

Run GN to generate your build files. Set target_os="ios" to build for iOS. This defaults to target_cpu="arm64". Choosing x64 targets the iOS simulator.

bin/gn gen out/ios64  --args='target_os="ios"'
bin/gn gen out/ios32  --args='target_os="ios" target_cpu="arm"'
bin/gn gen out/iossim --args='target_os="ios" target_cpu="x64"'

This will also package (and for devices, sign) iOS test binaries. This defaults to a Google signing identity and provisioning profile. To use a different one set skia_ios_identity to match your code signing identity and skia_ios_profile to the name of your provisioning profile, e.g. skia_ios_identity=".*Jane Doe.*" skia_ios_profile="iPad Profile". A list of identities can be found by typing security find-identity on the command line. The name of the provisioning profile should be available on the Apple Developer site.

For signed packages ios-deploy makes installing and running them on a device easy:

ios-deploy -b out/Debug/dm.app -d --args "--match foo"

Alternatively you can generate an Xcode project by passing --ide=xcode to bin/gn gen.

If you find yourself missing a Google signing identity or provisioning profile, you'll want to have a read through go/appledev.

Deploying to a device with an OS older than the current SDK doesn't currently work through Xcode, but can be done on the command line by setting the environment variable IPHONEOS_DEPLOYMENT_TARGET to the desired OS version.

Windows

Skia can build on Windows with Visual Studio 2017 or 2019. If GN is unable to locate either of those, it will print an error message. In that case, you can pass your VC path to GN via win_vc.

Skia can be compiled with the free Build Tools for Visual Studio 2017 or 2019.

The bots use a packaged 2017 toolchain, which Googlers can download like this:

python2 infra/bots/assets/win_toolchain/download.py -t C:/toolchain

You can then pass the VC and SDK paths to GN by setting your GN args:

win_vc = "C:\toolchain\VC"
win_sdk = "C:\toolchain\win_sdk"

This toolchain is the only way we support 32-bit builds, by also setting target_cpu="x86".

The Skia build assumes that the PATHEXT environment variable contains ".EXE".

Skia uses generated code that is only optimized when Skia is built with clang. Other compilers get generic unoptimized code.

Setting the cc and cxx gn args is not sufficient to build with clang-cl. These variables are ignored on Windows. Instead set the variable clang_win to your LLVM installation directory. If you installed the prebuilt LLVM downloaded from here in the default location that would be:

clang_win = "C:\Program Files\LLVM"

Follow the standard Windows path specification and not MinGW convention (e.g. C:\Program Files\LLVM not /c/Program Files/LLVM).

Visual Studio Solutions

If you use Visual Studio, you may want to pass --ide=vs to bin/gn gen to generate all.sln. That solution will exist within the GN directory for the specific configuration, and will only build/run that configuration.

If you want a Visual Studio Solution that supports multiple GN configurations, there is a helper script. It requires that all of your GN directories be inside the out directory. First, create all of your GN configurations as usual. Pass --ide=vs when running bin/gn gen for each one. Then:

python2 gn/gn_meta_sln.py

This creates a new dedicated output directory and solution file out/sln/skia.sln. It has one solution configuration for each GN configuration, and supports building and running any of them. It also adjusts syntax highlighting of inactive code blocks based on preprocessor definitions from the selected solution configuration.

Windows ARM64

There is early, experimental support for Windows 10 on ARM. This currently requires (a recent version of) MSVC, and the Visual C++ compilers and libraries for ARM64 individual component in the Visual Studio Installer. For Googlers, the win_toolchain asset includes the ARM64 compiler.

To use that toolchain, set the target_cpu GN argument to "arm64". Note that OpenGL is not supported by Windows 10 on ARM, so Skia's GL backends are stubbed out, and will not work. ANGLE is supported:

bin/gn gen out/win-arm64 --args='target_cpu="arm64" skia_use_angle=true'

This will produce a build of Skia that can use the software or ANGLE backends, in DM. Viewer only works when launched with --backend angle, because the software backend tries to use OpenGL to display the window contents.

CMake

We have added a GN-to-CMake translator mainly for use with IDEs that like CMake project descriptions. This is not meant for any purpose beyond development.

bin/gn gen out/config --ide=json --json-ide-script=../../gn/gn_to_cmake.py