1. Add option WITH_AMD_GPU.
2. Add cmake/hip.cmake for HIP toolchain.
3. Some external module such as eigen may need HIP port.
4. Add macro hip_library/hip_binary/hip_test to cmake/generic.cmake.
5. Add one HIP source concat.hip.cu as an example. Each .cu may have its corresponding .hip.cu.

1. Add option WITH_AMD_GPU.
2. Add cmake/hip.cmake for HIP toolchain.
3. Some external module such as eigen may need HIP port.
4. Add macro hip_library/hip_binary/hip_test to cmake/generic.cmake.
5. Add one HIP source concat.hip.cu as an example. Each .cu may have its corresponding .hip.cu.

* compile and install the static library of fluid inference

* fix dynload_cuda not in CPU mode

* update shared library and adjust the deploy of openblas

* adjust the deploy of openblas

* * auto add all fluid modules for static library
* use libprotobuf.a instead of libprotobuf-lite.a for profiler

* use set_property to set the global varible instead of ENV

* add gpu depends of fluid modules, auto add inference_lib_dist depends

* change the condition of openblas_lib, and fix a typo

* Get rid of the dependency of Go compiler when WITH_GOLANG is OFF.

* Minor modification to the documentation.

* Remove the downloading and installing of Go compiler when build developing Docker image for android.

* Minor modifcation to the documentation's format.

* Change the default value of WITH_GOLANG to OFF in paddle/scripts/docker/build.sh.

* fix nccl version

* enable nccl test

* compile with nccl2

* add ncclGroup; it is necessary in nccl2

* add back libnccl-dev

* refine inference_lib_dist after code move, and add it to docker/build.sh

* remove is_directory in inference_lib.cmake

* add back print_operators_doc

* fix style check

* fix style check

Use CUDA_ARCH_NAME=All in the paddle/scripts/docker/build.sh and remove 20 21(20) in cmake/cuda.cmake.