From 5b6dd3a07c0d933f36f9e2a3aaa95ff855ca2795 Mon Sep 17 00:00:00 2001
From: AlexeyAB <alexeyab84@gmail.com>
Date: Fri, 02 Dec 2016 14:13:40 +0000
Subject: [PATCH] Sources fixed - Yolo v2 can be used on Windows (MSVS 2015 + CUDA 8.0)

---
 Makefile |   29 +++++++++++++++++++++++------
 1 files changed, 23 insertions(+), 6 deletions(-)

diff --git a/Makefile b/Makefile
index 9116408..3d3d5e4 100644
--- a/Makefile
+++ b/Makefile
@@ -1,17 +1,25 @@
 GPU=0
+CUDNN=0
 OPENCV=0
 DEBUG=0
 
-ARCH= --gpu-architecture=compute_20 --gpu-code=compute_20
+ARCH= -gencode arch=compute_20,code=[sm_20,sm_21] \
+      -gencode arch=compute_30,code=sm_30 \
+      -gencode arch=compute_35,code=sm_35 \
+      -gencode arch=compute_50,code=[sm_50,compute_50] \
+      -gencode arch=compute_52,code=[sm_52,compute_52]
+
+# This is what I use, uncomment if you know your arch and want to specify
+# ARCH=  -gencode arch=compute_52,code=compute_52
 
 VPATH=./src/
 EXEC=darknet
 OBJDIR=./obj/
 
 CC=gcc
-NVCC=nvcc
+NVCC=nvcc 
 OPTS=-Ofast
-LDFLAGS= -lm -pthread -lstdc++ 
+LDFLAGS= -lm -pthread 
 COMMON= 
 CFLAGS=-Wall -Wfatal-errors 
 
@@ -34,15 +42,22 @@
 LDFLAGS+= -L/usr/local/cuda/lib64 -lcuda -lcudart -lcublas -lcurand
 endif
 
-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 layer.o compare.o classifier.o local_layer.o swag.o shortcut_layer.o
+ifeq ($(CUDNN), 1) 
+COMMON+= -DCUDNN 
+CFLAGS+= -DCUDNN
+LDFLAGS+= -lcudnn
+endif
+
+OBJ=gemm.o utils.o cuda.o convolutional_layer.o list.o image.o activations.o im2col.o col2im.o blas.o crop_layer.o dropout_layer.o maxpool_layer.o softmax_layer.o data.o matrix.o network.o connected_layer.o cost_layer.o parser.o option_list.o darknet.o detection_layer.o captcha.o route_layer.o writing.o box.o nightmare.o normalization_layer.o avgpool_layer.o coco.o dice.o yolo.o detector.o layer.o compare.o classifier.o local_layer.o swag.o shortcut_layer.o activation_layer.o rnn_layer.o gru_layer.o rnn.o rnn_vid.o crnn_layer.o demo.o tag.o cifar.o go.o batchnorm_layer.o art.o region_layer.o reorg_layer.o super.o voxel.o tree.o
 ifeq ($(GPU), 1) 
-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 yolo_kernels.o coco_kernels.o
+LDFLAGS+= -lstdc++ 
+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
 endif
 
 OBJS = $(addprefix $(OBJDIR), $(OBJ))
 DEPS = $(wildcard src/*.h) Makefile
 
-all: obj results $(EXEC)
+all: obj backup results $(EXEC)
 
 $(EXEC): $(OBJS)
 	$(CC) $(COMMON) $(CFLAGS) $^ -o $@ $(LDFLAGS)
@@ -55,6 +70,8 @@
 
 obj:
 	mkdir -p obj
+backup:
+	mkdir -p backup
 results:
 	mkdir -p results
 

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