Traceback (most recent call last):
File "train_meta.py", line 327, in
train(epoch)
File "train_meta.py", line 219, in train
output = model(data, metax, mask)
File "/home/lab/.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
result = self.forward(*input, kwargs)
File "/home/lab/Downloads/Fewshot_Detection-master11/darknet_meta.py", line 199, in forward
dynamic_weights = self.meta_forward(metax, mask)
File "/home/lab/Downloads/Fewshot_Detection-master11/darknet_meta.py", line 122, in meta_forward
metax = model(metax)
File "/home/lab/.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
result = self.forward(*input, *kwargs)
File "/home/lab/.local/lib/python3.8/site-packages/torch/nn/modules/container.py", line 119, in forward
input = module(input)
File "/home/lab/.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
result = self.forward(input, kwargs)
File "/home/lab/.local/lib/python3.8/site-packages/torch/nn/modules/conv.py", line 399, in forward
return self._conv_forward(input, self.weight, self.bias)
File "/home/lab/.local/lib/python3.8/site-packages/torch/nn/modules/conv.py", line 395, in _conv_forward
return F.conv2d(input, weight, bias, self.stride,
RuntimeError: cuDNN error: CUDNN_STATUS_NOT_INITIALIZED
Exception in thread Thread-1:
Traceback (most recent call last):
File "/usr/lib/python3.8/threading.py", line 932, in _bootstrap_inner
self.run()
File "/usr/lib/python3.8/threading.py", line 870, in run
self._target(*self._args, self._kwargs)
File "/home/lab/.local/lib/python3.8/site-packages/torch/utils/data/_utils/pin_memory.py", line 25, in _pin_memory_loop
r = in_queue.get(timeout=MP_STATUS_CHECK_INTERVAL)
File "/usr/lib/python3.8/multiprocessing/queues.py", line 116, in get
return _ForkingPickler.loads(res)
File "/home/lab/.local/lib/python3.8/site-packages/torch/multiprocessing/reductions.py", line 282, in rebuild_storage_fd
fd = df.detach()
File "/usr/lib/python3.8/multiprocessing/resource_sharer.py", line 57, in detach
with _resource_sharer.get_connection(self._id) as conn:
File "/usr/lib/python3.8/multiprocessing/resource_sharer.py", line 87, in get_connection
c = Client(address, authkey=process.current_process().authkey)
File "/usr/lib/python3.8/multiprocessing/connection.py", line 508, in Client
answer_challenge(c, authkey)
File "/usr/lib/python3.8/multiprocessing/connection.py", line 751, in answer_challenge
message = connection.recv_bytes(256) # reject large message
File "/usr/lib/python3.8/multiprocessing/connection.py", line 216, in recv_bytes
buf = self._recv_bytes(maxlength)
File "/usr/lib/python3.8/multiprocessing/connection.py", line 414, in _recv_bytes
buf = self._recv(4)
File "/usr/lib/python3.8/multiprocessing/connection.py", line 379, in _recv
chunk = read(handle, remaining)
ConnectionResetError: [Errno 104] Connection reset by peer
How to solve this problem?**
Traceback (most recent call last): File "train_meta.py", line 327, in
train(epoch)
File "train_meta.py", line 219, in train
output = model(data, metax, mask)
File "/home/lab/.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
result = self.forward(*input, kwargs)
File "/home/lab/Downloads/Fewshot_Detection-master11/darknet_meta.py", line 199, in forward
dynamic_weights = self.meta_forward(metax, mask)
File "/home/lab/Downloads/Fewshot_Detection-master11/darknet_meta.py", line 122, in meta_forward
metax = model(metax)
File "/home/lab/.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
result = self.forward(*input, *kwargs)
File "/home/lab/.local/lib/python3.8/site-packages/torch/nn/modules/container.py", line 119, in forward
input = module(input)
File "/home/lab/.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
result = self.forward(input, kwargs)
File "/home/lab/.local/lib/python3.8/site-packages/torch/nn/modules/conv.py", line 399, in forward
return self._conv_forward(input, self.weight, self.bias)
File "/home/lab/.local/lib/python3.8/site-packages/torch/nn/modules/conv.py", line 395, in _conv_forward
return F.conv2d(input, weight, bias, self.stride,
RuntimeError: cuDNN error: CUDNN_STATUS_NOT_INITIALIZED
Exception in thread Thread-1:
Traceback (most recent call last):
File "/usr/lib/python3.8/threading.py", line 932, in _bootstrap_inner
self.run()
File "/usr/lib/python3.8/threading.py", line 870, in run
self._target(*self._args, self._kwargs)
File "/home/lab/.local/lib/python3.8/site-packages/torch/utils/data/_utils/pin_memory.py", line 25, in _pin_memory_loop
r = in_queue.get(timeout=MP_STATUS_CHECK_INTERVAL)
File "/usr/lib/python3.8/multiprocessing/queues.py", line 116, in get
return _ForkingPickler.loads(res)
File "/home/lab/.local/lib/python3.8/site-packages/torch/multiprocessing/reductions.py", line 282, in rebuild_storage_fd
fd = df.detach()
File "/usr/lib/python3.8/multiprocessing/resource_sharer.py", line 57, in detach
with _resource_sharer.get_connection(self._id) as conn:
File "/usr/lib/python3.8/multiprocessing/resource_sharer.py", line 87, in get_connection
c = Client(address, authkey=process.current_process().authkey)
File "/usr/lib/python3.8/multiprocessing/connection.py", line 508, in Client
answer_challenge(c, authkey)
File "/usr/lib/python3.8/multiprocessing/connection.py", line 751, in answer_challenge
message = connection.recv_bytes(256) # reject large message
File "/usr/lib/python3.8/multiprocessing/connection.py", line 216, in recv_bytes
buf = self._recv_bytes(maxlength)
File "/usr/lib/python3.8/multiprocessing/connection.py", line 414, in _recv_bytes
buf = self._recv(4)
File "/usr/lib/python3.8/multiprocessing/connection.py", line 379, in _recv
chunk = read(handle, remaining)
ConnectionResetError: [Errno 104] Connection reset by peer
How to solve this problem?**