mirror of https://github.com/AlexeyAB/darknet.git
66 lines
1.7 KiB
Makefile
66 lines
1.7 KiB
Makefile
GPU=0
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OPENCV=0
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DEBUG=0
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ARCH= --gpu-architecture=compute_20 --gpu-code=compute_20
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VPATH=./src/
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EXEC=darknet
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OBJDIR=./obj/
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CC=gcc
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NVCC=nvcc
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OPTS=-Ofast
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LDFLAGS= -lm -pthread -lstdc++
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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 ($(OPENCV), 1)
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COMMON+= -DOPENCV
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CFLAGS+= -DOPENCV
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LDFLAGS+= `pkg-config --libs opencv`
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COMMON+= `pkg-config --cflags opencv`
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endif
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ifeq ($(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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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 region_layer.o layer.o compare.o swag.o
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ifeq ($(GPU), 1)
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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): $(OBJS)
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$(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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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)
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