mirror of https://github.com/AlexeyAB/darknet.git
53 lines
1.5 KiB
Makefile
53 lines
1.5 KiB
Makefile
GPU=1
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DEBUG=0
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VPATH=./src/
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EXEC=cnn
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OBJDIR=./obj/
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CC=gcc
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NVCC=nvcc
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OPTS=-O3
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LINKER=$(CC)
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LDFLAGS=`pkg-config --libs opencv` -lm -pthread
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COMMON=`pkg-config --cflags opencv` -I/usr/local/cuda/include/
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CFLAGS=-Wall -Wfatal-errors
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CFLAGS+=$(OPTS)
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ifeq ($(DEBUG), 1)
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COMMON+=-O0 -g
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CFLAGS+=-O0 -g
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endif
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ifeq ($(GPU), 1)
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LINKER=$(NVCC)
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COMMON+=-DGPU
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CFLAGS+=-DGPU
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LDFLAGS+= -L/usr/local/cuda/lib64 -lcuda -lcudart -lcublas
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endif
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#OBJ=network.o network_gpu.o image.o cnn.o connected_layer.o maxpool_layer.o activations.o list.o option_list.o parser.o utils.o data.o matrix.o softmax_layer.o convolutional_layer.o gemm.o normalization_layer.o opencl.o im2col.o col2im.o axpy.o dropout_layer.o crop_layer.o freeweight_layer.o cost_layer.o server.o
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OBJ=gemm.o utils.o cuda.o convolutional_layer.o list.o image.o activations.o im2col.o col2im.o blas.o crop_layer.o dropout_layer.o maxpool_layer.o softmax_layer.o data.o matrix.o network.o connected_layer.o cost_layer.o normalization_layer.o parser.o option_list.o cnn.o
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ifeq ($(GPU), 1)
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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 softmax_layer_kernels.o network_kernels.o
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endif
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OBJS = $(addprefix $(OBJDIR), $(OBJ))
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all: $(EXEC)
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$(EXEC): $(OBJS)
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$(CC) $(COMMON) $(CFLAGS) $(LDFLAGS) $^ -o $@
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$(OBJDIR)%.o: %.c
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$(CC) $(COMMON) $(CFLAGS) -c $< -o $@
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$(OBJDIR)%.o: %.cu
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$(NVCC) $(COMMON) --compiler-options "$(CFLAGS)" -c $< -o $@
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.PHONY: clean
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clean:
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rm -rf $(OBJS) $(EXEC)
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