我有一个当前正在使用CMake的项目,我想切换到Bazel。主要依赖项是LLVM,我使用它来生成LLVM IR。环顾四周,似乎没有太多指导,因为只有TensorFlow似乎使用了Bazel的LLVM(据我所知,它会自动生成其配置)。我发现还有一个thread on bazel-discuss讨论了类似的问题,尽管我尝试复制它的尝试失败了。
目前,我最好的表现是这样的(fetcher.bzl
):
def _impl(ctx):
# Download LLVM master
ctx.download_and_extract(url = "https://github.com/llvm-mirror/llvm/archive/master.zip")
# Run `cmake llvm-master` to generate configuration.
ctx.execute(["cmake", "llvm-master"])
# The bazel-discuss thread says to delete llvm-master, but I've
# found that only generated files are pulled out of master, so all
# the non-generated ones get dropped if I delete this.
# ctx.execute(["rm", "-r", "llvm-master"])
# Generate a BUILD file for the LLVM dependency.
ctx.file('BUILD', """
# Build a library with all the LLVM code in it.
cc_library(
name = "lib",
srcs = glob(["**/*.cpp"]),
hdrs = glob(["**/*.h"]),
# Include the x86 target and all include files.
# Add those under llvm-master/... as well because only built files
# seem to appear under include/...
copts = [
"-Ilib/Target/X86",
"-Iinclude",
"-Illvm-master/lib/Target/X86",
"-Illvm-master/include",
],
# Include here as well, not sure whether this or copts is
# actually doing the work.
includes = [
"include",
"llvm-master/include",
],
visibility = ["//visibility:public"],
# Currently picking up some gtest targets, I have that dependency
# already, so just link it here until I filter those out.
deps = [
"@gtest//:gtest_main",
],
)
""")
# Generate an empty workspace file
ctx.file('WORKSPACE', '')
get_llvm = repository_rule(implementation = _impl)
然后我的WORKSPACE
文件如下所示:
load(":fetcher.bzl", "get_llvm")
git_repository(
name = "gflags",
commit = "46f73f88b18aee341538c0dfc22b1710a6abedef", # 2.2.1
remote = "https://github.com/gflags/gflags.git",
)
new_http_archive(
name = "gtest",
url = "https://github.com/google/googletest/archive/release-1.8.0.zip",
sha256 = "f3ed3b58511efd272eb074a3a6d6fb79d7c2e6a0e374323d1e6bcbcc1ef141bf",
build_file = "gtest.BUILD",
strip_prefix = "googletest-release-1.8.0",
)
get_llvm(name = "llvm")
然后我将使用bazel build @llvm//:lib --verbose_failures
运行它。
我会不断从丢失的头文件中得到错误。最终,我发现运行cmake llvm-master
会在当前目录中生成许多头文件,但似乎将未生成的头文件保留在llvm-master/
中。我在llvm-master/
下添加了相同的包含目录,这似乎捕获了很多文件。但是,当前看来tblgen
尚未运行,并且我仍然缺少编译所需的关键标头。我当前的错误是:
In file included from external/llvm/llvm-master/include/llvm/CodeGen/MachineOperand.h:18:0,
from external/llvm/llvm-master/include/llvm/CodeGen/MachineInstr.h:24,
from external/llvm/llvm-master/include/llvm/CodeGen/MachineBasicBlock.h:22,
from external/llvm/llvm-master/include/llvm/CodeGen/GlobalISel/MachineIRBuilder.h:20,
from external/llvm/llvm-master/include/llvm/CodeGen/GlobalISel/ConstantFoldingMIRBuilder.h:13,
from external/llvm/llvm-master/unittests/CodeGen/GlobalISel/PatternMatchTest.cpp:10:
external/llvm/llvm-master/include/llvm/IR/Intrinsics.h:42:38: fatal error: llvm/IR/IntrinsicEnums.inc: No such file or directory
尝试特别查找此文件,我看不到任何IntrinsicEnums.inc
,IntrinsicEnums.h
或IntrinsicEnums.dt
。我确实看到了很多Instrinsics*.td
,所以也许其中一个会生成此特定文件?
似乎tblgen
应该将*.td
文件转换为*.h
和*.cpp
文件(如果我误会了,请纠正我)。但是,这似乎没有运行。我看到在Tensorflow的项目中,他们有一个gentbl()
BUILD宏,尽管复制它对Tensorflow的其余构建基础结构有太多依赖性,但对我来说复制它并不实际。
如果没有Tensorflow系统那么大而复杂的东西,有没有办法做到这一点?
答案 0 :(得分:0)
我已张贴到llvm-dev邮件列表here,并得到了一些有趣的答复。 LLVM绝对不是设计来支持Bazel的,而且做得也不是特别好。从理论上讲,使用Ninja输出所有编译命令,然后从Bazel中使用它们,似乎是可行的。这可能很困难,并且需要一个单独的工具来输出由Bazel运行的Skylark代码。
对于我正在从事的项目规模而言,这似乎非常复杂,因此我的解决方法是从releases.llvm.org下载预构建的二进制文件。这包括所有必需的头文件,库和工具二进制文件。我可以使用Bazel为我的自定义编程语言创建一个简单但功能强大的工具链。
简单的示例(有限但重点突出):https://github.com/dgp1130/llvm-bazel-foolang
完整的示例(较复杂且关注较少):https://github.com/dgp1130/sanity-lang