Traceback (most recent call last):
File "/root/FlowFormer-Official/train_FlowFormer.py", line 169, in
train(cfg)
File "/root/FlowFormer-Official/train_FlowFormer.py", line 89, in train
flow_predictions = model(image1, image2, output)
File "/root/miniconda3/envs/flownet2/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/root/miniconda3/envs/flownet2/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
return forward_call(*args, **kwargs)
File "/root/miniconda3/envs/flownet2/lib/python3.10/site-packages/torch/nn/parallel/data_parallel.py", line 186, in forward
outputs = self.parallel_apply(replicas, inputs, module_kwargs)
File "/root/miniconda3/envs/flownet2/lib/python3.10/site-packages/torch/nn/parallel/data_parallel.py", line 201, in parallel_apply
return parallel_apply(replicas, inputs, kwargs, self.device_ids[:len(replicas)])
File "/root/miniconda3/envs/flownet2/lib/python3.10/site-packages/torch/nn/parallel/parallel_apply.py", line 108, in parallel_apply
output.reraise()
File "/root/miniconda3/envs/flownet2/lib/python3.10/site-packages/torch/_utils.py", line 705, in reraise
raise exception
TypeError: Caught TypeError in replica 1 on device 1.
I am not sure whether my cuddn error.Because my cuddn report error too.
/root/miniconda3/envs/flownet2/lib/python3.10/site-packages/torch/nn/modules/conv.py:456: UserWarning: Plan failed with a CuDNNError: cuDNN error: CUDNN_STATUS_BAD_PARAM
Exception raised from run_conv_plan at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:374 (most recent call first):
frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f626257a897 in /root/miniconda3/envs/flownet2/lib/python3.10/site-packages/torch/lib/libc10.so)
frame #1: + 0xe1c861 (0x7f62160ed861 in /root/miniconda3/envs/flownet2/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
frame #2: + 0x1095d83 (0x7f6216366d83 in /root/miniconda3/envs/flownet2/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
frame #3: + 0x1097c2c (0x7f6216368c2c in /root/miniconda3/envs/flownet2/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
frame #4: + 0x109817b (0x7f621636917b in /root/miniconda3/envs/flownet2/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
frame #5: + 0x107aca2 (0x7f621634bca2 in /root/miniconda3/envs/flownet2/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
frame #6: at::native::cudnn_convolution(at::Tensor const&, at::Tensor const&, c10::ArrayRef, c10::ArrayRef, c10::ArrayRef, long, bool, bool, bool) + 0x53f (0x7f621634c66f in /root/miniconda3/envs/flownet2/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
frame #7: + 0x32d0a9e (0x7f62185a1a9e in /root/miniconda3/envs/flownet2/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
frame #8: + 0x32e8251 (0x7f62185b9251 in /root/miniconda3/envs/flownet2/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
frame #9: at::_ops::cudnn_convolution::call(at::Tensor const&, at::Tensor const&, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::SymInt, bool, bool, bool) + 0x2bb (0x7f624bbb8c2b in /root/miniconda3/envs/flownet2/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
frame #10: at::native::_convolution(at::Tensor const&, at::Tensor const&, std::optionalat::Tensor const&, c10::ArrayRef, c10::ArrayRef, c10::ArrayRef, bool, c10::ArrayRef, long, bool, bool, bool, bool) + 0x13cb (0x7f624adf380b in /root/miniconda3/envs/flownet2/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
frame #11: + 0x2e0089f (0x7f624bf8189f in /root/miniconda3/envs/flownet2/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
frame #12: + 0x2e071fc (0x7f624bf881fc in /root/miniconda3/envs/flownet2/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
frame #13: at::_ops::_convolution::call(at::Tensor const&, at::Tensor const&, std::optionalat::Tensor const&, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, bool, c10::ArrayRefc10::SymInt, c10::SymInt, bool, bool, bool, bool) + 0x344 (0x7f624b6ca6f4 in /root/miniconda3/envs/flownet2/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
frame #14: at::native::convolution(at::Tensor const&, at::Tensor const&, std::optionalat::Tensor const&, c10::ArrayRef, c10::ArrayRef, c10::ArrayRef, bool, c10::ArrayRef, long) + 0x3b8 (0x7f624ade6e88 in /root/miniconda3/envs/flownet2/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
frame #15: + 0x2e0013c (0x7f624bf8113c in /root/miniconda3/envs/flownet2/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
frame #16: + 0x2e07068 (0x7f624bf88068 in /root/miniconda3/envs/flownet2/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
frame #17: at::_ops::convolution::redispatch(c10::DispatchKeySet, at::Tensor const&, at::Tensor const&, std::optionalat::Tensor const&, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, bool, c10::ArrayRefc10::SymInt, c10::SymInt) + 0x17b (0x7f624b68838b in /root/miniconda3/envs/flownet2/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
frame #18: + 0x4503901 (0x7f624d684901 in /root/miniconda3/envs/flownet2/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
frame #19: + 0x4504879 (0x7f624d685879 in /root/miniconda3/envs/flownet2/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
frame #20: at::_ops::convolution::call(at::Tensor const&, at::Tensor const&, std::optionalat::Tensor const&, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, bool, c10::ArrayRefc10::SymInt, c10::SymInt) + 0x2d4 (0x7f624b6c94f4 in /root/miniconda3/envs/flownet2/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
frame #21: + 0x19bd900 (0x7f624ab3e900 in /root/miniconda3/envs/flownet2/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
frame #22: at::native::conv2d_symint(at::Tensor const&, at::Tensor const&, std::optionalat::Tensor const&, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::SymInt) + 0x16b (0x7f624adea76b in /root/miniconda3/envs/flownet2/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
frame #23: + 0x2ff96c3 (0x7f624c17a6c3 in /root/miniconda3/envs/flownet2/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
frame #24: + 0x2ff995d (0x7f624c17a95d in /root/miniconda3/envs/flownet2/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
frame #25: at::_ops::conv2d::call(at::Tensor const&, at::Tensor const&, std::optionalat::Tensor const&, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::ArrayRefc10::SymInt, c10::SymInt) + 0x26e (0x7f624bced95e in /root/miniconda3/envs/flownet2/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
frame #26: + 0x6853ad (0x7f62611803ad in /root/miniconda3/envs/flownet2/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
frame #27: python() [0x4fdc87]
frame #30: python() [0x5099ce]
frame #32: python() [0x509b26]
frame #34: python() [0x509b26]
frame #38: python() [0x5cf883]
frame #41: python() [0x509b26]
frame #43: python() [0x509b26]
frame #47: python() [0x5cf883]
frame #50: python() [0x509b26]
frame #52: python() [0x509b26]
frame #56: python() [0x5cf883]
frame #59: python() [0x509b26]
frame #61: python() [0x509b26]
(Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:921.)
return F.conv2d(input, weight, bias, self.stride,
drinkingcoder
