A few months ago when we were trying to replace CMake with Bazel, @emailweixu suggested that we rewrite those handy Bazel functions using CMake. Now it seems that it's the right time to get this done, as we are facing problems from the porting of Majel and the development of new the parameter server using Go and C++.
Here are some initial thoughts. Your comments are welcome!
### Required CMake Function
I think we need only the following few CMake functions to make a project description mean and clean:
| C++ | CUDA C++ | Go |
|---|---|---|
| cc_library | nv_library | go_library |
| cc_binary | nv_binary | go_binary |
| cc_test | nv_test | go_test |
- The `_library` functions generate .a files from source code.
- The `_binary` functions generate executable binary files.
- The `_test` functions generate executable unit test files. They work like `_binary` but links `-lgtest` and `-lgtest_main`.
The difference between `nv_` functions and `cc_` functions is that the former use `nvcc` instead of the system-default C++ compiler.
Both `nv_` and `cc_` functions enables C++11 (-std=c++11).
Also,
- to describe external dependencies, we need `external_library`.
- to build shared libraries, we need `shared_library`.
### An Example Project
Suppose that we have aforementioned functions defined in our `/cmake` directory. The following example `CMakeLists.txt` describes a project including the following source files:
- tensor.h
- tensor.cc
- tensor_test.cc
- ops.h
- ops.cu
- ops_test.cu
- api.go
- api_test.go
Suppose that ops.cu depends on CUDNN.
```cmake
# cc_binary parses tensor.cc and figures out that target also depend
# on tensor.h.
cc_binary(tensor
SRCS
tensor.cc)
# The dependency to target tensor implies that if any of
# tensor{.h,.cc,_test.cc} is changed, tensor_test need to be re-built.
cc_test(tensor_test
SRCS
tensor_test.cc
DEPS
tensor)
# I don't have a clear idea what parameters external_library need to
# have. @gangliao as a CMake expert would have better ideas.
external_library(cudnn
....)
# Suppose that ops.cu depends on external target CUDNN. Also, ops.cu
# include global functions that take Tensor as their parameters, so
# ops depend on tensor. This implies that if any of tensor.{h.cc},
# ops.{h,cu} is changed, ops need to be re-built.
nv_library(ops
SRCS
ops.cu
DEPS
tensor
cudnn)# cudnn is defined later.
nv_test(ops_test
SRCS
ops_test.cu
DEPS
ops)
# Because api.go defines a GO wrapper to ops and tensor, it depends on
# both. This implies that if any of tensor.{h,cc}, ops.{h,cu}, or
# api.go is changed, api need to be re-built.
go_library(api
SRCS
api.go
DEPS
tensor # Because ops depend on tensor, this line is optional.
ops)
go_test(api_test
SRCS
api_test.go
DEPS
api)
# This builds libapi.so. shared_library might use CMake target
# api_shared so to distinguish it from above target api.
shared_library(api
DEPS
api)
```
### Implementation
As above example CMakeLists.txt executes, each function invocation adds "nodes" to a dependency graph. It also use this graph to generate CMake commands including `add_executable`, `add_dependencies`, `target_link_libraries`, and `add_test`.
