Traceback (most recent call last):


 "mmdetection/tools/train.py", line 108, in <module>

main()


 "mmdetection/tools/train.py", line 104, in main

logger=logger)


 "/home/nqe00239/anaconda3/envs/conda_jupyter_envs/lib/python3.7/site-packages/mmdet-1.0rc0+unknown-py3.7-linux-x86_64.egg/mmdet/apis/train.py", line 60, in train_detector

_non_dist_train(model, dataset, cfg, validate=validate)


 "/home/nqe00239/anaconda3/envs/conda_jupyter_envs/lib/python3.7/site-packages/mmdet-1.0rc0+unknown-py3.7-linux-x86_64.egg/mmdet/apis/train.py", line 221, in _non_dist_train

runner.run(data_loaders, cfg.workflow, cfg.total_epochs)


 "/home/nqe00239/anaconda3/envs/conda_jupyter_envs/lib/python3.7/site-packages/mmcv/runner/runner.py", line 358, in run

epoch_runner(data_loaders[i], **kwargs)


 "/home/nqe00239/anaconda3/envs/conda_jupyter_envs/lib/python3.7/site-packages/mmcv/runner/runner.py", line 264, in train

self.model, data_batch, train_mode=True, **kwargs)


 "/home/nqe00239/anaconda3/envs/conda_jupyter_envs/lib/python3.7/site-packages/mmdet-1.0rc0+unknown-py3.7-linux-x86_64.egg/mmdet/apis/train.py", line 38, in batch_processor

losses = model(**data)


 "/home/nqe00239/anaconda3/envs/conda_jupyter_envs/lib/python3.7/site-packages/torch/nn/modules/module.py", line 541, in __call__

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


 "/home/nqe00239/anaconda3/envs/conda_jupyter_envs/lib/python3.7/site-packages/torch/nn/parallel/data_parallel.py", line 150, in forward

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


 "/home/nqe00239/anaconda3/envs/conda_jupyter_envs/lib/python3.7/site-packages/torch/nn/modules/module.py", line 541, in __call__

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


 "/home/nqe00239/anaconda3/envs/conda_jupyter_envs/lib/python3.7/site-packages/mmdet-1.0rc0+unknown-py3.7-linux-x86_64.egg/mmdet/core/fp16/decorators.py", line 49, in new_func

return old_func(*args, **kwargs)


 "/home/nqe00239/anaconda3/envs/conda_jupyter_envs/lib/python3.7/site-packages/mmdet-1.0rc0+unknown-py3.7-linux-x86_64.egg/mmdet/models/detectors/base.py", line 86, in forward

return self.forward_train(img, img_meta, **kwargs)


 "/home/nqe00239/anaconda3/envs/conda_jupyter_envs/lib/python3.7/site-packages/mmdet-1.0rc0+unknown-py3.7-linux-x86_64.egg/mmdet/models/detectors/two_stage.py", line 211, in forward_train

mask_pred = self.mask_head(mask_feats)


 "/home/nqe00239/anaconda3/envs/conda_jupyter_envs/lib/python3.7/site-packages/torch/nn/modules/module.py", line 541, in __call__

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


 "/home/nqe00239/anaconda3/envs/conda_jupyter_envs/lib/python3.7/site-packages/mmdet-1.0rc0+unknown-py3.7-linux-x86_64.egg/mmdet/core/fp16/decorators.py", line 49, in new_func

return old_func(*args, **kwargs)


 "/home/nqe00239/anaconda3/envs/conda_jupyter_envs/lib/python3.7/site-packages/mmdet-1.0rc0+unknown-py3.7-linux-x86_64.egg/mmdet/models/mask_heads/fcn_mask_head.py", line 99, in forward

x = self.upsample(x)


 "/home/nqe00239/anaconda3/envs/conda_jupyter_envs/lib/python3.7/site-packages/torch/nn/modules/module.py", line 541, in __call__

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


 "/home/nqe00239/anaconda3/envs/conda_jupyter_envs/lib/python3.7/site-packages/torch/nn/modules/conv.py", line 778, in forward

output_padding, self.groups, self.dilation)
RuntimeError: CUDA out of memory. Tried to allocate 20.00 MiB (GPU 0; 1.96 GiB total capacity; 1.22 GiB already allocated; 19.00 MiB free; 39.15 MiB cached)

Traceback (most recent call last):



 "/usr/local/lib/python3.7/threading.py", line 926, in _bootstrap_inner


self.run()



 "/usr/local/lib/python3.7/threading.py", line 870, in run


self._target(*self._args, **self._kwargs)



 "/usr/src/homeassistant/homeassistant/components/stream/worker.py", line 109, in stream_worker


Segment(sequence, buffer.segment, segment_duration),



 "/usr/local/lib/python3.7/asyncio/base_events.py", line 728, in call_soon_threadsafe


self._check_closed()



 "/usr/local/lib/python3.7/asyncio/base_events.py", line 475, in _check_closed


raise RuntimeError('Event loop is closed')

RuntimeError: Event loop is closed

