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我是fortran90的初学者。我想做的是从由 fortran90 编写的现有巨大模型中调用一个新模块（也是 fortran90）。我所知道的是，运行 fortran 脚本高度依赖于 gfortran 使用 make 或 cmake 进行的编译。&将编译make& 。我检查了一下，这个巨大的模型使用带有大型 Makefile 的命令。我想使用的新模块包含几个文件。所以不可能简单地将这个模块写入模型的一个现有 .f90 文件中......而且有一件事是，我只想在现有 fortran90 模型的 ONE 子程序中使用这个新模块。cmakeMakefileCMakefilemake.f90

对于新模块，它是从 GitHub 下载的，编译由cmake. 首先我需要运行一个 bash 文件!sh build_steps.sh（!用于在 python 终端中运行 bash 命令）。!sh build_steps.sh简单如下：

rm -rf build
mkdir build
cd build

FC=gfortran cmake .. -DSERIAL=1
# FC='mpif90 -qopenmp' cmake .. -DSERIAL=1

make

cd CMakeFiles/neural.dir/

mv mod_activation.mod.stamp mod_activation.o
mv mod_io.mod.stamp mod_io.o
mv mod_kinds.mod.stamp mod_kinds.o
mv mod_layer.mod.stamp mod_layer.o
mv mod_mnist.mod.stamp mod_mnist.o
mv mod_network.mod.stamp mod_network.o
mv mod_parallel.mod.stamp mod_parallel.o
mv mod_random.mod.stamp mod_random.o
mv mod_ensemble.mod.stamp mod_ensemble.o
mv mod_dense_layer.mod.stamp mod_dense_layer.o
mv mod_batchnorm_layer.mod.stamp mod_batchnorm_layer.o
mv mod_dropout_layer.mod.stamp mod_dropout_layer.o

然后CMakelists.txt如下：

# cmake version, project name, language
cmake_minimum_required(VERSION 2.8 FATAL_ERROR)
project(neural-fortran Fortran)

# set output paths for modules, archives, and executables
set(CMAKE_Fortran_MODULE_DIRECTORY ${PROJECT_BINARY_DIR}/include)
set(CMAKE_LIBRARY_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/lib)
set(CMAKE_ARCHIVE_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/lib)
set(CMAKE_RUNTIME_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/bin)

# if build type not specified, default to release
if(NOT CMAKE_BUILD_TYPE)
  set(CMAKE_BUILD_TYPE "release")
endif()

# handle integer size
if(INT)
  message(STATUS "Configuring build for ${INT}-bit integers")
  add_definitions(-DINT${INT})
else()
  message(STATUS "Configuring build for 32-bit integers")
  add_definitions(-DINT32)
endif()

# handle real size
if(REAL)
  message(STATUS "Configuring build for ${REAL}-bit reals")
  add_definitions(-DREAL${REAL})
else()
  message(STATUS "Configuring build for 32-bit reals")
  add_definitions(-DREAL32)
endif()

if(SERIAL)
  message(STATUS "Configuring build for serial execution")
else()
  message(STATUS "Configuring build for parallel execution")
  add_definitions(-DCAF)
endif()

# compiler flags for gfortran
if(CMAKE_Fortran_COMPILER_ID MATCHES GNU)

  if(SERIAL)
    message(STATUS "Configuring to build with -fcoarray=single")
    set(CMAKE_Fortran_FLAGS "${CMAKE_Fortran_FLAGS} -fcoarray=single")
  endif()

  if(BLAS)
    set(CMAKE_Fortran_FLAGS "${CMAKE_Fortran_FLAGS} -fexternal-blas ${BLAS}")
    set(LIBS "${LIBS} blas")
    message(STATUS "Configuring build to use BLAS from ${BLAS}")
  endif()

  set(CMAKE_Fortran_FLAGS "${CMAKE_Fortran_FLAGS} -cpp -fopenmp")
  set(CMAKE_Fortran_FLAGS_DEBUG "-O0 -g -C -fbacktrace")
  set(CMAKE_Fortran_FLAGS_RELEASE "-O3 -ffast-math")
endif()

# compiler flags for ifort
if(CMAKE_Fortran_COMPILER_ID MATCHES Intel)

  set(CMAKE_Fortran_FLAGS "${CMAKE_Fortran_FLAGS} -fpp -assume byterecl,realloc_lhs -heap-arrays -qopenmp")
  set(CMAKE_Fortran_FLAGS_DEBUG "-O0 -g -C -traceback")
  set(CMAKE_Fortran_FLAGS_RELEASE "-O3")

  if(NOT SERIAL)
    set(CMAKE_Fortran_FLAGS "${CMAKE_Fortran_FLAGS} -coarray=shared")
  endif()

endif()

# compiler flags for Cray ftn
if(CMAKE_Fortran_COMPILER_ID MATCHES Cray)
  set(CMAKE_Fortran_FLAGS "${CMAKE_Fortran_FLAGS} -h noomp")
  set(CMAKE_Fortran_FLAGS_DEBUG "-O0 -g")
  set(CMAKE_Fortran_FLAGS_RELEASE "-O3")
endif()

# library to archive (libneural.a)
add_library(neural src/lib/mod_activation.F90 src/lib/mod_io.F90 src/lib/mod_kinds.F90 src/lib/mod_layer.F90 src/lib/mod_dense_layer.F90 src/lib/mod_dropout_layer.F90 src/lib/mod_batchnorm_layer.F90 src/lib/mod_mnist.F90 src/lib/mod_network.F90 src/lib/mod_ensemble.F90 src/lib/mod_parallel.F90 src/lib/mod_random.F90)

# Remove leading or trailing whitespace
string(REGEX REPLACE "^ | $" "" LIBS "${LIBS}")

# tests
enable_testing()
#  mnist network_save network_sync set_activation_function
foreach(execid keras bulk ensembles training save_and_load keras_mymodel)
  add_executable(test_${execid} src/tests/test_${execid}.F90)
  target_link_libraries(test_${execid} neural ${LIBS})
  add_test(test_${execid} bin/test_${execid})
endforeach()

# foreach(execid mnist save_and_load simple sine)
#   add_executable(example_${execid} src/tests/example_${execid}.F90)
#   target_link_libraries(example_${execid} neural ${LIBS})
#   add_test(example_${execid} bin/example_${execid})
# endforeach()

Makefile太长了，所以我把它保存在谷歌文档https://docs.google.com/document/d/10naj1WgE9P4qbILT3n85TosZCd1KISwSzGw2u5FIOwo/edit?usp=sharing中。（这个模型是开源的......）

Make我对 bash 有所了解，但对and一无所知Cmake。所以我只想知道，有没有一种简单的方法来组合这两个makefile？如何在现有的 makefile 中声明子例程依赖项？或者只是简单地在现有的 fortran 90 子例程中导入新模块，就像import numpy在 python 中一样。还是我需要一一改变依赖？

非常感谢！

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