压缩的时候出现这样的错误

[smallworld-network-wupeng]

(base) wupeng@ubuntu:/data_ssd/yolo/Vehicle/tiny-yolo$ /data_ssd/compress_yolo/darknet detector train voc.data yolov3-tiny.cfg backup/yolov3-tiny_130000.weights -gpus 0
0
yolov3-tiny
layer filters size input output
0 conv 16 3 x 3 / 1 416 x 416 x 3 -> 416 x 416 x 16
1 max 2 x 2 / 2 416 x 416 x 16 -> 208 x 208 x 16
2 conv 32 3 x 3 / 1 208 x 208 x 16 -> 208 x 208 x 32
3 max 2 x 2 / 2 208 x 208 x 32 -> 104 x 104 x 32
4 conv 64 3 x 3 / 1 104 x 104 x 32 -> 104 x 104 x 64
5 max 2 x 2 / 2 104 x 104 x 64 -> 52 x 52 x 64
6 conv 128 3 x 3 / 1 52 x 52 x 64 -> 52 x 52 x 128
7 max 2 x 2 / 2 52 x 52 x 128 -> 26 x 26 x 128
8 conv 256 3 x 3 / 1 26 x 26 x 128 -> 26 x 26 x 256
9 max 2 x 2 / 2 26 x 26 x 256 -> 13 x 13 x 256
10 conv 512 3 x 3 / 1 13 x 13 x 256 -> 13 x 13 x 512
11 max 2 x 2 / 1 13 x 13 x 512 -> 13 x 13 x 512
12 conv 1024 3 x 3 / 1 13 x 13 x 512 -> 13 x 13 x1024
13 conv 256 1 x 1 / 1 13 x 13 x1024 -> 13 x 13 x 256
14 conv 512 3 x 3 / 1 13 x 13 x 256 -> 13 x 13 x 512
15 conv 18 1 x 1 / 1 13 x 13 x 512 -> 13 x 13 x 18
16 Type not recognized: [yolo]
Unused field: 'mask = 3,4,5'
Unused field: 'anchors = 10,14,23,27,37,58,81,82,135,169,344,319'
Unused field: 'classes = 1'
Unused field: 'num = 6'
Unused field: 'jitter = .3'
Unused field: 'ignore_thresh = .7'
Unused field: 'truth_thresh = 1'
Unused field: 'random = 1'
17 route 13
18 conv 128 1 x 1 / 1 13 x 13 x 256 -> 13 x 13 x 128
19 Type not recognized: [upsample]
Unused field: 'stride = 2'
20 route 19 8
21 Layer before convolutional layer must output image.: File exists
darknet: ./src/utils.c:224: error: Assertion `0' failed.
Aborted (core dumped)

自己训练的一个模型，想压缩一下，但是输入命令出错，不知道哪儿的问题