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GPU=1
CUDNN=1
OPENCV=1
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DEBUG=0
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ARCH= --gpu-architecture=compute_52 --gpu-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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NVCC=nvcc
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 ($(DEBUG), 1) 
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ifeq ($(OPENCV), 1) 
COMMON+= -DOPENCV
CFLAGS+= -DOPENCV
LDFLAGS+= `pkg-config --libs opencv` 
COMMON+= `pkg-config --cflags opencv` 
endif

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ifeq ($(GPU), 1) 
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COMMON+= -DGPU -I/usr/local/cuda/include/
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CFLAGS+= -DGPU
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LDFLAGS+= -L/usr/local/cuda/lib64 -lcuda -lcudart -lcublas -lcurand
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ifeq ($(CUDNN), 1) 
COMMON+= -DCUDNN 
CFLAGS+= -DCUDNN
LDFLAGS+= -lcudnn
endif

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OBJ=gemm.o utils.o cuda.o deconvolutional_layer.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 imagenet.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
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ifeq ($(GPU), 1) 
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LDFLAGS+= -lstdc++ 
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OBJ+=convolutional_kernels.o deconvolutional_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 softmax_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 results $(EXEC)
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$(EXEC): $(OBJS)
	$(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:
	mkdir -p obj
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results:
	mkdir -p results
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.PHONY: clean

clean:
	rm -rf $(OBJS) $(EXEC)
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