7dd7ccd224
Currently, code generation was creating weak symbols for derived type descriptor global it could not find in the current compilation unit. The rational is that: - the derived type descriptors of external module derived types are generated in the compilation unit that compiled the module so that the type descriptor address is uniquely associated with the type. - some types do not have derived type descriptors: the builtin derived types used to create derived type descriptors. The runtime knows about them and does not need them to accomplish the feat of describing themselves. Hence, all unresolved derived type descriptors in codegen cannot be assumed to be resolved at link time. However, this caused immense debugging pain when, for some reasons, derived type descriptor that should be generated were not. This caused random runtime failures instead of a much cleaner link time failure. Improve this situation by allowing codegen to detect the builtin derived types that have no derived type descriptors and requiring the other unresolved derived type descriptor to be resolved at link time. Also make derived type descriptor constant data since this was a TODO and makes the situation even cleaner. This requiring telling lowering which compiler created symbols can be placed in read only memory. I considered using PARAMETER, but I have mixed feeling using it since that would cause the initializer expressions of derived type descriptor to be invalid from a Fortran point of view since pointer targets cannot be parameters. I do not want to start misusing Fortran attributes, even if I think it is quite unlikely semantics would currently complain. I also do not want to rely on the fact that all object symbols with the CompilerCreated flags are currently constant data. This could easily change in the future and cause runtime bugs if lowering rely on this while the assumption is not loud and clear in semantics. Instead, add a ReadOnly symbol flag to tell lowering that a compiler generated symbol can be placed in read only memory. Differential Revision: https://reviews.llvm.org/D119555 |
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.. | ||
cmake/modules | ||
docs | ||
examples | ||
include | ||
lib | ||
module | ||
runtime | ||
test | ||
tools | ||
unittests | ||
.clang-format | ||
.clang-tidy | ||
.drone.star | ||
.gitignore | ||
CMakeLists.txt | ||
CODE_OWNERS.TXT | ||
LICENSE.TXT | ||
README.md |
README.md
Flang
Flang is a ground-up implementation of a Fortran front end written in modern C++. It started off as the f18 project (https://github.com/flang-compiler/f18) with an aim to replace the previous flang project (https://github.com/flang-compiler/flang) and address its various deficiencies. F18 was subsequently accepted into the LLVM project and rechristened as Flang.
Getting Started
Read more about flang in the docs directory. Start with the compiler overview.
To better understand Fortran as a language and the specific grammar accepted by flang, read Fortran For C Programmers and flang's specifications of the Fortran grammar and the OpenMP grammar.
Treatment of language extensions is covered in this document.
To understand the compilers handling of intrinsics, see the discussion of intrinsics.
To understand how a flang program communicates with libraries at runtime, see the discussion of runtime descriptors.
If you're interested in contributing to the compiler, read the style guide and also review how flang uses modern C++ features.
If you are interested in writing new documentation, follow LLVM's Markdown style guide.
Building flang
There are two ways to build flang. The first method is to build it at the same time that you build all of the projects on which it depends. This is called building in tree. The second method is to first do an in tree build to create all of the projects on which flang depends, and then only build the flang code itself. This is called building standalone. Building standalone has the advantage of being smaller and faster. Once you create the base build and base install areas, you can create multiple standalone builds using them.
Note that instructions for building LLVM can be found at https://llvm.org/docs/GettingStarted.html.
Building flang in tree
Building flang in tree means building flang along with all of the projects on which it depends. These projects include mlir, clang, flang, and compiler-rt. Note that compiler-rt is only needed to access libraries that support 16 bit floating point numbers. It's not needed to run the automated tests.
Here's a complete set of commands to clone all of the necessary source and do the build.
First clone the source:
git clone https://github.com/llvm/llvm-project.git my-project
Once the clone is complete, execute the following commands:
cd my-project
rm -rf build
mkdir -p build
cd build
cmake \
-G Ninja \
../llvm \
-DCMAKE_BUILD_TYPE=Release \
-DFLANG_ENABLE_WERROR=On \
-DLLVM_ENABLE_ASSERTIONS=ON \
-DLLVM_TARGETS_TO_BUILD=host \
-DCMAKE_INSTALL_PREFIX=$INSTALLDIR
-DLLVM_LIT_ARGS=-v \
-DLLVM_ENABLE_PROJECTS="clang;mlir;flang" \
-DLLVM_ENABLE_RUNTIMES="compiler-rt"
ninja
To run the flang tests on this build, execute the command in the "build" directory:
ninja check-flang
Note that these instructions specify flang as one of the projects to build in the in tree build. This is not strictly necessary for subsequent standalone builds, but doing so lets you run the flang tests to verify that the source code is in good shape.
Building flang standalone
To do the standalone build, start by building flang in tree as described above. This build is base build for subsequent standalone builds. Start each standalone build the same way by cloning the source for llvm-project:
git clone https://github.com/llvm/llvm-project.git standalone
Once the clone is complete, execute the following commands:
cd standalone
base=<directory that contains the in tree build>
cd flang
rm -rf build
mkdir build
cd build
cmake \
-G Ninja \
-DCMAKE_BUILD_TYPE=Release \
-DFLANG_ENABLE_WERROR=On \
-DLLVM_TARGETS_TO_BUILD=host \
-DLLVM_ENABLE_ASSERTIONS=On \
-DLLVM_BUILD_MAIN_SRC_DIR=$base/build/lib/cmake/llvm \
-DLLVM_LIT_ARGS=-v \
-DLLVM_DIR=$base/build/lib/cmake/llvm \
-DCLANG_DIR=$base/build/lib/cmake/clang \
-DMLIR_DIR=$base/build/lib/cmake/mlir \
..
ninja
To run the flang tests on this build, execute the command in the "flang/build" directory:
ninja check-flang
Supported C++ compilers
Flang is written in C++17.
The code has been compiled and tested with GCC versions from 7.2.0 to 9.3.0.
The code has been compiled and tested with clang version 7.0, 8.0, 9.0 and 10.0 using either GNU's libstdc++ or LLVM's libc++.
The code has been compiled on AArch64, x86_64 and ppc64le servers with CentOS7, Ubuntu18.04, Rhel, MacOs, Mojave, XCode and Apple Clang version 10.0.1.
The code does not compile with Windows and a compiler that does not have support for C++17.
Building flang with GCC
By default, cmake will search for g++ on your PATH. The g++ version must be one of the supported versions in order to build flang.
Or, cmake will use the variable CXX to find the C++ compiler. CXX should include the full path to the compiler or a name that will be found on your PATH, e.g. g++-8.3, assuming g++-8.3 is on your PATH.
export CXX=g++-8.3
or
CXX=/opt/gcc-8.3/bin/g++-8.3 cmake ...
Building flang with clang
To build flang with clang, cmake needs to know how to find clang++ and the GCC library and tools that were used to build clang++.
CXX should include the full path to clang++ or clang++ should be found on your PATH.
export CXX=clang++
Installation Directory
To specify a custom install location,
add
-DCMAKE_INSTALL_PREFIX=<INSTALL_PREFIX>
to the cmake command
where <INSTALL_PREFIX>
is the path where flang should be installed.
Build Types
To create a debug build,
add
-DCMAKE_BUILD_TYPE=Debug
to the cmake command.
Debug builds execute slowly.
To create a release build,
add
-DCMAKE_BUILD_TYPE=Release
to the cmake command.
Release builds execute quickly.
How to Run Tests
Flang supports 2 different categories of tests
- Regression tests (https://www.llvm.org/docs/TestingGuide.html#regression-tests)
- Unit tests (https://www.llvm.org/docs/TestingGuide.html#unit-tests)
For standalone builds
To run all tests:
cd ~/flang/build
cmake -DLLVM_DIR=$LLVM -DMLIR_DIR=$MLIR ~/flang/src
ninja check-all
To run individual regression tests llvm-lit needs to know the lit configuration for flang. The parameters in charge of this are: flang_site_config and flang_config. And they can be set as shown below:
<path-to-llvm-lit>/llvm-lit \
--param flang_site_config=<path-to-flang-build>/test-lit/lit.site.cfg.py \
--param flang_config=<path-to-flang-build>/test-lit/lit.cfg.py \
<path-to-fortran-test>
Unit tests:
If flang was built with -DFLANG_INCLUDE_TESTS=On
(ON
by default), it is possible to generate unittests.
Note: Unit-tests will be skipped for LLVM install for an standalone build as it does not include googletest related headers and libraries.
There are various ways to run unit-tests.
1. ninja check-flang-unit
2. ninja check-all or ninja check-flang
3. <path-to-llvm-lit>/llvm-lit \
test/Unit
4. Invoking tests from <standalone flang build>/unittests/<respective unit test folder>
For in tree builds
If flang was built with -DFLANG_INCLUDE_TESTS=On
(On
by default), it is possible to
generate unittests.
To run all of the flang unit tests use the check-flang-unit
target:
ninja check-flang-unit
To run all of the flang regression tests use the check-flang
target:
ninja check-flang
How to Generate Documentation
Generate FIR Documentation
If flang was built with -DLINK_WITH_FIR=On
(On
by default), it is possible to
generate FIR language documentation by running ninja flang-doc
. This will
create docs/Dialect/FIRLangRef.md
in flang build directory.
Generate Doxygen-based Documentation
To generate doxygen-style documentation from source code
- Pass
-DLLVM_ENABLE_DOXYGEN=ON -DFLANG_INCLUDE_DOCS=ON
to the cmake command.
cd ~/llvm-project/build
cmake -DLLVM_ENABLE_DOXYGEN=ON -DFLANG_INCLUDE_DOCS=ON ../llvm
ninja doxygen-flang
It will generate html in
<build-dir>/tools/flang/docs/doxygen/html # for flang docs
Generate Sphinx-based Documentation
Flang documentation should preferably be written in markdown(.md)
syntax (they can be in reStructuredText(.rst)
format as well but markdown is recommended in first place), it
is mostly meant to be processed by the Sphinx documentation generation
system to create HTML pages which would be hosted on the webpage of flang and
updated periodically.
If you would like to generate and view the HTML locally:
- Install Sphinx, including the sphinx-markdown-tables extension.
- Pass
-DLLVM_ENABLE_SPHINX=ON -DSPHINX_WARNINGS_AS_ERRORS=OFF
to the cmake command.
cd ~/llvm-project/build
cmake -DLLVM_ENABLE_SPHINX=ON -DSPHINX_WARNINGS_AS_ERRORS=OFF ../llvm
ninja docs-flang-html
It will generate html in
$BROWSER <build-dir>/tools/flang/docs/html/