mirror of https://github.com/AlexeyAB/darknet.git
114 lines
3.1 KiB
Makefile
114 lines
3.1 KiB
Makefile
GPU=0
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CUDNN=0
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OPENCV=0
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DEBUG=0
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OPENMP=0
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LIBSO=0
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ARCH= -gencode arch=compute_30,code=sm_30 \
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-gencode arch=compute_35,code=sm_35 \
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-gencode arch=compute_50,code=[sm_50,compute_50] \
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-gencode arch=compute_52,code=[sm_52,compute_52] \
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-gencode arch=compute_61,code=[sm_61,compute_61]
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# For Jetson Tx1 uncomment:
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# ARCH= -gencode arch=compute_51,code=[sm_51,compute_51]
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# For Jetson Tx2 uncomment:
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# ARCH= -gencode arch=compute_62,code=[sm_62,compute_62]
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# This is what I use, uncomment if you know your arch and want to specify
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# ARCH= -gencode arch=compute_52,code=compute_52
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VPATH=./src/
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EXEC=darknet
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OBJDIR=./obj/
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ifeq ($(LIBSO), 1)
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LIBNAMESO=darknet.so
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APPNAMESO=uselib
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endif
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CC=gcc
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CPP=g++
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NVCC=nvcc
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OPTS=-Ofast
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LDFLAGS= -lm -pthread
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COMMON=
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CFLAGS=-Wall -Wfatal-errors
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ifeq ($(DEBUG), 1)
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OPTS=-O0 -g
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endif
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CFLAGS+=$(OPTS)
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ifeq ($(OPENCV), 1)
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COMMON+= -DOPENCV
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CFLAGS+= -DOPENCV
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LDFLAGS+= `pkg-config --libs opencv`
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COMMON+= `pkg-config --cflags opencv`
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endif
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ifeq ($(OPENMP), 1)
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CFLAGS+= -fopenmp
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LDFLAGS+= -lgomp
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endif
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ifeq ($(GPU), 1)
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COMMON+= -DGPU -I/usr/local/cuda/include/
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CFLAGS+= -DGPU
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LDFLAGS+= -L/usr/local/cuda/lib64 -lcuda -lcudart -lcublas -lcurand
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endif
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ifeq ($(CUDNN), 1)
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COMMON+= -DCUDNN
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CFLAGS+= -DCUDNN -I/usr/local/cudnn/include
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LDFLAGS+= -L/usr/local/cudnn/lib64 -lcudnn
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endif
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OBJ=gemm.o utils.o cuda.o convolutional_layer.o list.o image.o activations.o im2col.o col2im.o blas.o crop_layer.o dropout_layer.o maxpool_layer.o softmax_layer.o data.o matrix.o network.o connected_layer.o cost_layer.o parser.o option_list.o darknet.o detection_layer.o captcha.o route_layer.o writing.o box.o nightmare.o normalization_layer.o avgpool_layer.o coco.o dice.o yolo.o detector.o layer.o compare.o classifier.o local_layer.o swag.o shortcut_layer.o activation_layer.o rnn_layer.o gru_layer.o rnn.o rnn_vid.o crnn_layer.o demo.o tag.o cifar.o go.o batchnorm_layer.o art.o region_layer.o reorg_layer.o super.o voxel.o tree.o
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ifeq ($(GPU), 1)
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LDFLAGS+= -lstdc++
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OBJ+=convolutional_kernels.o activation_kernels.o im2col_kernels.o col2im_kernels.o blas_kernels.o crop_layer_kernels.o dropout_layer_kernels.o maxpool_layer_kernels.o network_kernels.o avgpool_layer_kernels.o
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endif
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OBJS = $(addprefix $(OBJDIR), $(OBJ))
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DEPS = $(wildcard src/*.h) Makefile
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all: obj backup results $(EXEC) $(LIBNAMESO) $(APPNAMESO)
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ifeq ($(LIBSO), 1)
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CFLAGS+= -fPIC
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$(LIBNAMESO): $(OBJS) src/yolo_v2_class.hpp src/yolo_v2_class.cpp
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$(CPP) -shared -std=c++11 -fvisibility=hidden -DYOLODLL_EXPORTS $(COMMON) $(CFLAGS) $(OBJS) src/yolo_v2_class.cpp -o $@ $(LDFLAGS)
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$(APPNAMESO): $(LIBNAMESO) src/yolo_v2_class.hpp src/yolo_console_dll.cpp
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$(CPP) -std=c++11 $(COMMON) $(CFLAGS) -o $@ src/yolo_console_dll.cpp $(LDFLAGS) -L ./ -l:$(LIBNAMESO)
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endif
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$(EXEC): $(OBJS)
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$(CC) $(COMMON) $(CFLAGS) $^ -o $@ $(LDFLAGS)
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$(OBJDIR)%.o: %.c $(DEPS)
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$(CC) $(COMMON) $(CFLAGS) -c $< -o $@
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$(OBJDIR)%.o: %.cu $(DEPS)
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$(NVCC) $(ARCH) $(COMMON) --compiler-options "$(CFLAGS)" -c $< -o $@
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obj:
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mkdir -p obj
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backup:
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mkdir -p backup
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results:
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mkdir -p results
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.PHONY: clean
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clean:
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rm -rf $(OBJS) $(EXEC) $(LIBNAMESO) $(APPNAMESO)
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