| | |
| | | ARCH= -arch=sm_35 |
| | | |
| | | VPATH=./src/ |
| | | EXEC=cnn |
| | | EXEC=darknet |
| | | OBJDIR=./obj/ |
| | | |
| | | CC=gcc |
| | |
| | | LDFLAGS+= -L/usr/local/cuda/lib64 -lcuda -lcudart -lcublas |
| | | endif |
| | | |
| | | #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 |
| | | 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 |
| | | 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 darknet.o |
| | | ifeq ($(GPU), 1) |
| | | 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 |
| | | endif |