Epoch gpu_mem GIoU obj cls total targets img_size
0/9 6.87G 5.61 3.01 0 8.62 5 416: 100%|███████████████████████████████████████| 1202/1202 [07:38<00:00, 2.62it/s]
Class Images Targets P R mAP@0.5 F1: 100%|████████████████████████████████████████▊| 205/206 [00:32<00:00, 6.26it/s]
Traceback (most recent call last):
File "train.py", line 632, in
train(hyp) # train normally
File "train.py", line 489, in train
FPGA=opt.FPGA)
File "/home/cxzx/a-slr-work/YOLOv3v4-ModelCompression-MultidatasetTraining-Multibackbone-master/test.py", line 95, in test
inf_out, trainout, = model(imgs, augment=augment) # inference and training outputs
File "/home/cxzx/.local/lib/python3.6/site-packages/torch/nn/modules/module.py", line 727, in _call_impl
result = self.forward(*input, kwargs)
File "/home/cxzx/.local/lib/python3.6/site-packages/torch/nn/parallel/distributed.py", line 621, in forward
outputs = self.parallel_apply(self._module_copies[:len(inputs)], inputs, kwargs)
File "/home/cxzx/.local/lib/python3.6/site-packages/torch/nn/parallel/distributed.py", line 646, in parallel_apply
return parallel_apply(replicas, inputs, kwargs, self.device_ids[:len(replicas)])
File "/home/cxzx/.local/lib/python3.6/site-packages/torch/nn/parallel/parallel_apply.py", line 86, in parallel_apply
output.reraise()
File "/home/cxzx/.local/lib/python3.6/site-packages/torch/_utils.py", line 428, in reraise
raise self.exc_type(msg)
TypeError: Caught TypeError in replica 1 on device 1.
Original Traceback (most recent call last):
File "/home/cxzx/.local/lib/python3.6/site-packages/torch/nn/parallel/parallel_apply.py", line 61, in _worker
output = module(*input, *kwargs)
File "/home/cxzx/.local/lib/python3.6/site-packages/torch/nn/modules/module.py", line 727, in _call_impl
result = self.forward(input, kwargs)
TypeError: forward() missing 1 required positional argument: 'x'
Starting training for 10 epochs...
Traceback (most recent call last): File "train.py", line 632, in
train(hyp) # train normally
File "train.py", line 489, in train
FPGA=opt.FPGA)
File "/home/cxzx/a-slr-work/YOLOv3v4-ModelCompression-MultidatasetTraining-Multibackbone-master/test.py", line 95, in test
inf_out, trainout, = model(imgs, augment=augment) # inference and training outputs
File "/home/cxzx/.local/lib/python3.6/site-packages/torch/nn/modules/module.py", line 727, in _call_impl
result = self.forward(*input, kwargs)
File "/home/cxzx/.local/lib/python3.6/site-packages/torch/nn/parallel/distributed.py", line 621, in forward
outputs = self.parallel_apply(self._module_copies[:len(inputs)], inputs, kwargs)
File "/home/cxzx/.local/lib/python3.6/site-packages/torch/nn/parallel/distributed.py", line 646, in parallel_apply
return parallel_apply(replicas, inputs, kwargs, self.device_ids[:len(replicas)])
File "/home/cxzx/.local/lib/python3.6/site-packages/torch/nn/parallel/parallel_apply.py", line 86, in parallel_apply
output.reraise()
File "/home/cxzx/.local/lib/python3.6/site-packages/torch/_utils.py", line 428, in reraise
raise self.exc_type(msg)
TypeError: Caught TypeError in replica 1 on device 1.
Original Traceback (most recent call last):
File "/home/cxzx/.local/lib/python3.6/site-packages/torch/nn/parallel/parallel_apply.py", line 61, in _worker
output = module(*input, *kwargs)
File "/home/cxzx/.local/lib/python3.6/site-packages/torch/nn/modules/module.py", line 727, in _call_impl
result = self.forward(input, kwargs)
TypeError: forward() missing 1 required positional argument: 'x'
对数据集为hand进行训练，使用yolov3-608.weights作为预训练模型，在进行第2epoch时报错