Traceback (most recent call last):


 "train.py", line 502, in <module>

train()


 "train.py", line 305, in train

losses = net(datum)


 "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py", line 541, in __call__

result = self.forward(*input, **kwargs)


 "/usr/local/lib/python3.6/dist-packages/torch/nn/parallel/data_parallel.py", line 150, in forward

return self.module(*inputs[0], **kwargs[0])


 "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py", line 541, in __call__

result = self.forward(*input, **kwargs)


 "train.py", line 144, in forward

losses = self.criterion(self.net, preds, targets, masks, num_crowds)


 "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py", line 541, in __call__

result = self.forward(*input, **kwargs)


 "/content/drive/My Drive/YOLACT/layers/modules/multibox_loss.py", line 124, in forward

loc_t, conf_t, idx_t, idx, loc_data[idx])


 "/content/drive/My Drive/YOLACT/layers/box_utils.py", line 182, in match

overlaps = jaccard(truths, decoded_priors) if not cfg.use_change_matching else change(truths, decoded_priors)


 "/content/drive/My Drive/YOLACT/layers/box_utils.py", line 73, in jaccard

inter = intersect(box_a, box_b)
RuntimeError: strides[cur - 1] == sizes[cur] * strides[cur] INTERNAL ASSERT FAILED at /pytorch/torch/csrc/jit/fuser/executor.cpp:175, please report a bug to PyTorch. 

Traceback (most recent call last):


 "scripts/train.py", line 253, in <module>

main()


 "scripts/train.py", line 200, in main

loss, miou = train(opt, train_loader, m, criterion, optimizer, writer)


 "scripts/train.py", line 41, in train

output = m(inps)


 "/root/anaconda2/envs/alphapose/lib/python3.6/site-packages/torch/nn/modules/module.py", line 493, in __call__

result = self.forward(*input, **kwargs)


 "/root/anaconda2/envs/alphapose/lib/python3.6/site-packages/torch/nn/parallel/data_parallel.py", line 148, in forward

inputs, kwargs = self.scatter(inputs, kwargs, self.device_ids)


 "/root/anaconda2/envs/alphapose/lib/python3.6/site-packages/torch/nn/parallel/data_parallel.py", line 159, in scatter

return scatter_kwargs(inputs, kwargs, device_ids, dim=self.dim)


 "/root/anaconda2/envs/alphapose/lib/python3.6/site-packages/torch/nn/parallel/scatter_gather.py", line 35, in scatter_kwargs

inputs = scatter(inputs, target_gpus, dim) if inputs else []


 "/root/anaconda2/envs/alphapose/lib/python3.6/site-packages/torch/nn/parallel/scatter_gather.py", line 28, in scatter

return scatter_map(inputs)


 "/root/anaconda2/envs/alphapose/lib/python3.6/site-packages/torch/nn/parallel/scatter_gather.py", line 15, in scatter_map

return list(zip(*map(scatter_map, obj)))


 "/root/anaconda2/envs/alphapose/lib/python3.6/site-packages/torch/nn/parallel/scatter_gather.py", line 13, in scatter_map

return Scatter.apply(target_gpus, None, dim, obj)


 "/root/anaconda2/envs/alphapose/lib/python3.6/site-packages/torch/nn/parallel/_functions.py", line 89, in forward

outputs = comm.scatter(input, target_gpus, chunk_sizes, ctx.dim, streams)


 "/root/anaconda2/envs/alphapose/lib/python3.6/site-packages/torch/cuda/comm.py", line 147, in scatter

return tuple(torch._C._scatter(tensor, devices, chunk_sizes, dim, streams))


 "/root/anaconda2/envs/alphapose/lib/python3.6/site-packages/torch/utils/data/_utils/signal_handling.py", line 63, in handler

_error_if_any_worker_fails()
RuntimeError: DataLoader worker (pid 999) is killed by signal: Bus error.
