Removed tutorial 'Building applications with TNL'

include Makefile.inc

SUBDIRS = 

HEADERS =

SOURCES = tnl-make-example.cpp

CUDA_SOURCES = tnl-make-example-cuda.cu

TARGETS = tnl-make-example 

CUDA_TARGETS = tnl-make-example-cuda

FILES = Makefile \

        Makefile.inc \

        $(CUDA_SOURCES) \

        $(SOURCES) \

        $(HEADERS)

SUBDIRSCLEAN=$(addsuffix clean,$(SUBDIRS))

all: bin subdirs $(TARGETS) $(CUDA_TARGETS)

.PHONY:	subdirs $(SUBDIRS)

subdirs:    $(SUBDIRS)

$(SUBDIRS):

	$(MAKE) -C $@	

bin:

	mkdir -p bin

install: all

	mkdir -p $(INSTALL_DIR)/bin

	cp bin/* $(INSTALL_DIR)/bin

.PHONY:	clean

clean:	$(SUBDIRSCLEAN) clean_curdir

clean_curdir:

	rm -f *.o

%clean:	%

	$(MAKE) -C $< clean

dist: clean

	tar zcvf $(PROJECT_NAME)-src.tgz $(SUBDIRS) $(FILES)

$(TARGETS): % : %.o

	$(CXX) $(LDFLAGS) -o $@ $< $(LDLIBS)

$(CUDA_TARGETS): % : %.cu.o

	$(CUDA_CXX) $(CUDA_LDFLAGS) -o $@ $< $(CUDA_LDLIBS)

$(SOURCES:%.cpp=%.o): %.o: %.cpp

	$(CXX) $(CPPFLAGS) $(CXXFLAGS) -c -o $@ $<

$(CUDA_SOURCES:%.cu=%.cu.o): %.cu.o : %.cu

	$(CUDA_CXX) $(CUDA_CPPFLAGS) $(CUDA_CXXFLAGS) -c -o $@ $<

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# Replace the following with your project name

PROJECT_NAME = tnl-make-example

# Replace the following with your TNL installation path

TNL_HEADERS = ${HOME}/.local/include

INSTALL_DIR = ${HOME}/.local

WITH_CUDA = yes

WITH_OPENMP = yes

WITH_DEBUG = no

# If TNL is installed on your system, CUDA arch can be detected automatically using

# a tool 'tnl-cuda-arch'. This is done by default if CUDA_ARCH is set to 'auto'. 

# Otherwise, if you set it manually by telling the CUDA architecture number

# i.e 50, 60 etc.

CUDA_ARCH = auto

# Set-up compilers

CXX = g++

CUDA_CXX = nvcc

# Set-up CXX_FLAGS

CXXFLAGS = -pthread -Wall -Wno-unused-local-typedefs -Wno-unused-variable -Wno-unknown-pragmas -std=c++14 -I$(TNL_HEADERS)

ifeq ( $(WITH_DEBUG), yes )

	CXXFLAGS += -O0 -g

else

   CXXFLAGS += -DNDEBUG -O3 -funroll-loops

endif

# Set-up CUDA_CXXFLAGS

CUDA_CXXFLAGS = -Wno-deprecated-gpu-targets --expt-relaxed-constexpr --expt-extended-lambda -Xcudafe --std c++14 -I$(TNL_HEADERS) 

ifeq ( $(WITH_CUDA), yes )

   CUDA_CXXFLAGS += -DHAVE_CUDA

   ifeq ( $(CUDA_ARCH), auto )

      CUDA_CXXFLAGS += `tnl-cuda-arch`

   else

      CUDA_CXXFLAGS += -gencode arch=compute_$(CUDA_ARCH),code=sm_$(CUDA_ARCH)

   endif

endif

# Set-up CPPFLAGS

CPPFLAGS = -MD -MP

# Set-up LDFLAGS

LDFLAGS += -lm

ifeq ( $(WITH_OPENMP), yes )

   LDFLAGS += -lgomp

endif

#include "example-cuda-2.h"

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example-cuda-2.cpp

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