| | |
|---|
| | | -gencode arch=compute_52,code=[sm_52,compute_52] \ |
|---|
| | | -gencode arch=compute_61,code=[sm_61,compute_61] |
|---|
| | | |
|---|
| | | OS := $(shell uname) |
|---|
| | | |
|---|
| | | # Tesla V100 |
|---|
| | | # ARCH= -gencode arch=compute_70,code=[sm_70,compute_70] |
|---|
| | | |
|---|
| | |
|---|
| | | LDFLAGS+= -lgomp |
|---|
| | | endif |
|---|
| | | |
|---|
| | | ifeq ($(GPU), 1) |
|---|
| | | ifeq ($(GPU), 1) |
|---|
| | | COMMON+= -DGPU -I/usr/local/cuda/include/ |
|---|
| | | CFLAGS+= -DGPU |
|---|
| | | ifeq ($(OS),Darwin) #MAC |
|---|
| | | LDFLAGS+= -L/usr/local/cuda/lib -lcuda -lcudart -lcublas -lcurand |
|---|
| | | else |
|---|
| | | LDFLAGS+= -L/usr/local/cuda/lib64 -lcuda -lcudart -lcublas -lcurand |
|---|
| | | endif |
|---|
| | | endif |
|---|
| | | |
|---|
| | | ifeq ($(CUDNN), 1) |
|---|
| | | COMMON+= -DCUDNN |
|---|
| | | ifeq ($(CUDNN), 1) |
|---|
| | | COMMON+= -DCUDNN |
|---|
| | | ifeq ($(OS),Darwin) #MAC |
|---|
| | | CFLAGS+= -DCUDNN -I/usr/local/cuda/include |
|---|
| | | LDFLAGS+= -L/usr/local/cuda/lib -lcudnn |
|---|
| | | else |
|---|
| | | CFLAGS+= -DCUDNN -I/usr/local/cudnn/include |
|---|
| | | LDFLAGS+= -L/usr/local/cudnn/lib64 -lcudnn |
|---|
| | | endif |
|---|
| | | endif |
|---|
| | | |
|---|
| | | OBJ=http_stream.o gemm.o utils.o cuda.o convolutional_layer.o list.o image.o activations.o im2col.o col2im.o blas.o crop_layer.o dropout_layer.o maxpool_layer.o softmax_layer.o data.o matrix.o network.o connected_layer.o cost_layer.o parser.o option_list.o darknet.o detection_layer.o captcha.o route_layer.o writing.o box.o nightmare.o normalization_layer.o avgpool_layer.o coco.o dice.o yolo.o detector.o layer.o compare.o classifier.o local_layer.o swag.o shortcut_layer.o activation_layer.o rnn_layer.o gru_layer.o rnn.o rnn_vid.o crnn_layer.o demo.o tag.o cifar.o go.o batchnorm_layer.o art.o region_layer.o reorg_layer.o super.o voxel.o tree.o |
|---|
| | | OBJ=http_stream.o gemm.o utils.o cuda.o convolutional_layer.o list.o image.o activations.o im2col.o col2im.o blas.o crop_layer.o dropout_layer.o maxpool_layer.o softmax_layer.o data.o matrix.o network.o connected_layer.o cost_layer.o parser.o option_list.o darknet.o detection_layer.o captcha.o route_layer.o writing.o box.o nightmare.o normalization_layer.o avgpool_layer.o coco.o dice.o yolo.o detector.o layer.o compare.o classifier.o local_layer.o swag.o shortcut_layer.o activation_layer.o rnn_layer.o gru_layer.o rnn.o rnn_vid.o crnn_layer.o demo.o tag.o cifar.o go.o batchnorm_layer.o art.o region_layer.o reorg_layer.o reorg_old_layer.o super.o voxel.o tree.o yolo_layer.o upsample_layer.o |
|---|
| | | ifeq ($(GPU), 1) |
|---|
| | | 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 |
|---|
