Traceback (most recent call last):


 "/media/ai/fcb4c527-7fb0-41df-b900-75a0d4a92991/lq/maskrcnn-benchmark/tools/train_net.py", line 201, in <module>

main()


 "/media/ai/fcb4c527-7fb0-41df-b900-75a0d4a92991/lq/maskrcnn-benchmark/tools/train_net.py", line 194, in main

model = train(cfg, args.local_rank, args.distributed)


 "/media/ai/fcb4c527-7fb0-41df-b900-75a0d4a92991/lq/maskrcnn-benchmark/tools/train_net.py", line 94, in train

arguments,


 "/media/ai/fcb4c527-7fb0-41df-b900-75a0d4a92991/lq/maskrcnn-benchmark/maskrcnn_benchmark/engine/trainer.py", line 84, in do_train

loss_dict = model(images, targets)


 "/home/ai/anaconda3/envs/maskrcnn_benchmark/lib/python3.7/site-packages/torch/nn/modules/module.py", line 493, in __call__

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


 "/home/ai/anaconda3/envs/maskrcnn_benchmark/lib/python3.7/site-packages/torch/nn/parallel/distributed.py", line 376, in forward

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


 "/home/ai/anaconda3/envs/maskrcnn_benchmark/lib/python3.7/site-packages/torch/nn/modules/module.py", line 493, in __call__

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


 "/home/ai/anaconda3/envs/maskrcnn_benchmark/lib/python3.7/site-packages/apex-0.1-py3.7-linux-x86_64.egg/apex/amp/_initialize.py", line 197, in new_fwd

**applier(kwargs, input_caster))


 "/media/ai/fcb4c527-7fb0-41df-b900-75a0d4a92991/lq/maskrcnn-benchmark/maskrcnn_benchmark/modeling/detector/generalized_rcnn.py", line 52, in forward

x, result, detector_losses = self.roi_heads(features, proposals, targets)


 "/home/ai/anaconda3/envs/maskrcnn_benchmark/lib/python3.7/site-packages/torch/nn/modules/module.py", line 493, in __call__

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


 "/media/ai/fcb4c527-7fb0-41df-b900-75a0d4a92991/lq/maskrcnn-benchmark/maskrcnn_benchmark/modeling/roi_heads/roi_heads.py", line 26, in forward

x, detections, loss_box = self.box(features, proposals, targets)


 "/home/ai/anaconda3/envs/maskrcnn_benchmark/lib/python3.7/site-packages/torch/nn/modules/module.py", line 493, in __call__

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


 "/media/ai/fcb4c527-7fb0-41df-b900-75a0d4a92991/lq/maskrcnn-benchmark/maskrcnn_benchmark/modeling/roi_heads/box_head/box_head.py", line 43, in forward

proposals = self.loss_evaluator.subsample(proposals, targets)


 "/media/ai/fcb4c527-7fb0-41df-b900-75a0d4a92991/lq/maskrcnn-benchmark/maskrcnn_benchmark/modeling/roi_heads/box_head/loss.py", line 111, in subsample

img_sampled_inds = torch.nonzero(pos_inds_img | neg_inds_img).squeeze(1)
RuntimeError: _th_or not supported on CUDAType for Bool

Traceback (most recent call last):


 "dirsearch.py", line 47, in <module>

main = Program()


 "dirsearch.py", line 43, in __init__

self.controller = Controller(self.script_path, self.arguments, self.output)


 "/root/dirsearch/lib/controller/controller.py", line 225, in __init__

self.wait()


 "/root/dirsearch/lib/controller/controller.py", line 663, in wait

self.fuzzer.start()


 "/root/dirsearch/lib/core/fuzzer.py", line 118, in start

thread.start()


 "/usr/lib/python3.5/threading.py", line 844, in start

_start_new_thread(self._bootstrap, ())
RuntimeError: can't start new thread