Traceback (most recent call last):


 "main.py", line 479, in <module>

main()


 "main.py", line 239, in main

train(train_loader, model, criterion, optimizer, epoch)


 "main.py", line 303, in train

output = model(input_var, progress)


 "/mnt/storage/home/vp17941/.conda/envs/condensenet/lib/python3.6/site-packages/torch/nn/modules/module.py", line 224, in __call__

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


 "/mnt/storage/home/vp17941/.conda/envs/condensenet/lib/python3.6/site-packages/torch/nn/parallel/data_parallel.py", line 58, in forward

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


 "/mnt/storage/home/vp17941/.conda/envs/condensenet/lib/python3.6/site-packages/torch/nn/modules/module.py", line 224, in __call__

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


 "/mnt/storage/home/vp17941/CondenseNet/models/condensenet.py", line 127, in forward

features = self.features(x)


 "/mnt/storage/home/vp17941/.conda/envs/condensenet/lib/python3.6/site-packages/torch/nn/modules/module.py", line 224, in __call__

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


 "/mnt/storage/home/vp17941/.conda/envs/condensenet/lib/python3.6/site-packages/torch/nn/modules/container.py", line 67, in forward

input = module(input)


 "/mnt/storage/home/vp17941/.conda/envs/condensenet/lib/python3.6/site-packages/torch/nn/modules/module.py", line 224, in __call__

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


 "/mnt/storage/home/vp17941/.conda/envs/condensenet/lib/python3.6/site-packages/torch/nn/modules/container.py", line 67, in forward

input = module(input)


 "/mnt/storage/home/vp17941/.conda/envs/condensenet/lib/python3.6/site-packages/torch/nn/modules/module.py", line 224, in __call__

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


 "/mnt/storage/home/vp17941/CondenseNet/models/condensenet.py", line 33, in forward

x = self.conv_1(x)


 "/mnt/storage/home/vp17941/.conda/envs/condensenet/lib/python3.6/site-packages/torch/nn/modules/module.py", line 224, in __call__

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


 "/mnt/storage/home/vp17941/CondenseNet/layers.py", line 42, in forward

x = self.norm(x)


 "/mnt/storage/home/vp17941/.conda/envs/condensenet/lib/python3.6/site-packages/torch/nn/modules/module.py", line 224, in __call__

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


 "/mnt/storage/home/vp17941/.conda/envs/condensenet/lib/python3.6/site-packages/torch/nn/modules/batchnorm.py", line 37, in forward

self.training, self.momentum, self.eps)


 "/mnt/storage/home/vp17941/.conda/envs/condensenet/lib/python3.6/site-packages/torch/nn/functional.py", line 639, in batch_norm

return f(input, weight, bias)
RuntimeError: cuda runtime error (2) : out of memory at /opt/conda/conda-bld/pytorch_1503970438496/work/torch/lib/THC/generic/THCStorage.cu:66

Traceback (most recent call last):


 "/usr/bin/oscapd-evaluate", line 143, in scan_worker

es.evaluate(config)


 "/usr/lib/python3.4/site-packages/openscap_daemon/evaluation_spec.py", line 473, in evaluate

wip_result = self.evaluate_into_dir(config)


 "/usr/lib/python3.4/site-packages/openscap_daemon/evaluation_spec.py", line 470, in evaluate_into_dir

return oscap_helpers.evaluate(self, config)


 "/usr/lib/python3.4/site-packages/openscap_daemon/oscap_helpers.py", line 300, in evaluate

args = get_evaluation_args(spec, config)


 "/usr/lib/python3.4/site-packages/openscap_daemon/oscap_helpers.py", line 275, in get_evaluation_args

ret.extend(spec.get_oscap_arguments(config))


 "/usr/lib/python3.4/site-packages/openscap_daemon/evaluation_spec.py", line 444, in get_oscap_arguments

ret.append(config.get_cve_feed(self.get_cpe_ids(config)))


 "/usr/lib/python3.4/site-packages/openscap_daemon/evaluation_spec.py", line 347, in get_cpe_ids

self.target, config


 "/usr/lib/python3.4/site-packages/openscap_daemon/evaluation_spec.py", line 529, in detect_CPEs_of_target

results, stdout, stderr, exit_code = es.evaluate(config)


 "/usr/lib/python3.4/site-packages/openscap_daemon/evaluation_spec.py", line 499, in evaluate

(stdout, stderr, e)
RuntimeError: Failed to read results.xml of EvaluationSpec evaluation.
