Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

internal error: unable to find __cudaPushCallConfiguration declaration. CUDA toolkit installation may be corrupt. #194

Open
xianyu-123 opened this issue Nov 6, 2021 · 17 comments

Comments

@xianyu-123
Copy link

/home/wgj/anaconda3/bin/python /home/wgj/Pyedu/srutest.py
/home/wgj/anaconda3/lib/python3.8/site-packages/sru/cuda_functional.py:22: UserWarning: Just-in-time loading and compiling the CUDA kernels of SRU was unsuccessful. Got the following error:
Error building extension 'sru_cuda': [1/2] /home/wgj/anaconda3/bin/nvcc -DTORCH_EXTENSION_NAME=sru_cuda -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE="gcc" -DPYBIND11_STDLIB="libstdcpp" -DPYBIND11_BUILD_ABI="cxxabi1011" -isystem /home/wgj/anaconda3/lib/python3.8/site-packages/torch/include -isystem /home/wgj/anaconda3/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -isystem /home/wgj/anaconda3/lib/python3.8/site-packages/torch/include/TH -isystem /home/wgj/anaconda3/lib/python3.8/site-packages/torch/include/THC -isystem /home/wgj/anaconda3/include -isystem /home/wgj/anaconda3/include/python3.8 -D_GLIBCXX_USE_CXX11_ABI=0 -D__CUDA_NO_HALF_OPERATORS -D__CUDA_NO_HALF_CONVERSIONS_ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr -gencode=arch=compute_61,code=sm_61 --compiler-options '-fPIC' -std=c++14 -c /home/wgj/anaconda3/lib/python3.8/site-packages/sru/csrc/sru_cuda_kernel.cu -o sru_cuda_kernel.cuda.o
FAILED: sru_cuda_kernel.cuda.o
/home/wgj/anaconda3/bin/nvcc -DTORCH_EXTENSION_NAME=sru_cuda -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE="gcc" -DPYBIND11_STDLIB="libstdcpp" -DPYBIND11_BUILD_ABI="cxxabi1011" -isystem /home/wgj/anaconda3/lib/python3.8/site-packages/torch/include -isystem /home/wgj/anaconda3/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -isystem /home/wgj/anaconda3/lib/python3.8/site-packages/torch/include/TH -isystem /home/wgj/anaconda3/lib/python3.8/site-packages/torch/include/THC -isystem /home/wgj/anaconda3/include -isystem /home/wgj/anaconda3/include/python3.8 -D_GLIBCXX_USE_CXX11_ABI=0 -D__CUDA_NO_HALF_OPERATORS -D__CUDA_NO_HALF_CONVERSIONS_ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr -gencode=arch=compute_61,code=sm_61 --compiler-options '-fPIC' -std=c++14 -c /home/wgj/anaconda3/lib/python3.8/site-packages/sru/csrc/sru_cuda_kernel.cu -o sru_cuda_kernel.cuda.o
/home/wgj/anaconda3/lib/python3.8/site-packages/sru/csrc/sru_cuda_kernel.cu(845): internal error: unable to find __cudaPushCallConfiguration declaration. CUDA toolkit installation may be corrupt.

1 catastrophic error detected in the compilation of "/home/wgj/anaconda3/lib/python3.8/site-packages/sru/csrc/sru_cuda_kernel.cu".
Compilation aborted.
ninja: build stopped: subcommand failed.

warnings.warn("Just-in-time loading and compiling the CUDA kernels of SRU was unsuccessful. "
Traceback (most recent call last):
File "/home/wgj/Pyedu/srutest.py", line 19, in
output_states, c_states = rnn(x) # forward pass
File "/home/wgj/anaconda3/lib/python3.8/site-packages/torch/nn/modules/module.py", line 727, in call_impl
result = self.forward(*input, **kwargs)
File "/home/wgj/anaconda3/lib/python3.8/site-packages/sru/modules.py", line 634, in forward
h, c = rnn(prevx, c0
[i], mask_pad=mask_pad)
File "/home/wgj/anaconda3/lib/python3.8/site-packages/torch/nn/modules/module.py", line 727, in _call_impl
result = self.forward(*input, **kwargs)
File "/home/wgj/anaconda3/lib/python3.8/site-packages/sru/modules.py", line 276, in forward
h, c = self.apply_recurrence(U, V, residual, c0, scale_val, mask_c, mask_pad)
File "/home/wgj/anaconda3/lib/python3.8/site-packages/sru/modules.py", line 298, in apply_recurrence
return elementwise_recurrence_gpu(U, residual, V, self.bias, c0,
File "/home/wgj/anaconda3/lib/python3.8/site-packages/sru/ops.py", line 129, in elementwise_recurrence_gpu
return ElementwiseRecurrence.apply(
File "/home/wgj/anaconda3/lib/python3.8/site-packages/sru/cuda_functional.py", line 175, in forward
h, last_hidden, c = elementwise_recurrence_forward(
RuntimeError: Caught an unknown exception!

Process finished with exit code 1

@Caihonghua
Copy link

Hi, have you solved this problem?

@xianyu-123
Copy link
Author

xianyu-123 commented Apr 6, 2022 via email

@Caihonghua
Copy link

Caihonghua commented Apr 6, 2022 via email

@amituofo1996
Copy link

/home/xf/miniconda3/envs/actor/lib/python3.8/site-packages/sru/cuda_functional.py:23: UserWarning: Just-in-time loading and compiling the CUDA kernels of SRU was unsuccessful. Got the following error:
Error building extension 'sru_cuda': [1/2] /usr/local/cuda/bin/nvcc -DTORCH_EXTENSION_NAME=sru_cuda -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE="gcc" -DPYBIND11_STDLIB="libstdcpp" -DPYBIND11_BUILD_ABI="cxxabi1011" -isystem /home/xf/miniconda3/envs/actor/lib/python3.8/site-packages/torch/include -isystem /home/xf/miniconda3/envs/actor/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -isystem /home/xf/miniconda3/envs/actor/lib/python3.8/site-packages/torch/include/TH -isystem /home/xf/miniconda3/envs/actor/lib/python3.8/site-packages/torch/include/THC -isystem /usr/local/cuda/include -isystem /home/xf/miniconda3/envs/actor/include/python3.8 -D_GLIBCXX_USE_CXX11_ABI=0 -D__CUDA_NO_HALF_OPERATORS -D__CUDA_NO_HALF_CONVERSIONS_ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr -gencode=arch=compute_61,code=compute_61 -gencode=arch=compute_61,code=sm_61 --compiler-options '-fPIC' -std=c++14 -c /home/xf/miniconda3/envs/actor/lib/python3.8/site-packages/sru/csrc/sru_cuda_kernel.cu -o sru_cuda_kernel.cuda.o
FAILED: sru_cuda_kernel.cuda.o
/usr/local/cuda/bin/nvcc -DTORCH_EXTENSION_NAME=sru_cuda -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE="gcc" -DPYBIND11_STDLIB="libstdcpp" -DPYBIND11_BUILD_ABI="cxxabi1011" -isystem /home/xf/miniconda3/envs/actor/lib/python3.8/site-packages/torch/include -isystem /home/xf/miniconda3/envs/actor/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -isystem /home/xf/miniconda3/envs/actor/lib/python3.8/site-packages/torch/include/TH -isystem /home/xf/miniconda3/envs/actor/lib/python3.8/site-packages/torch/include/THC -isystem /usr/local/cuda/include -isystem /home/xf/miniconda3/envs/actor/include/python3.8 -D_GLIBCXX_USE_CXX11_ABI=0 -D__CUDA_NO_HALF_OPERATORS -D__CUDA_NO_HALF_CONVERSIONS_ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr -gencode=arch=compute_61,code=compute_61 -gencode=arch=compute_61,code=sm_61 --compiler-options '-fPIC' -std=c++14 -c /home/xf/miniconda3/envs/actor/lib/python3.8/site-packages/sru/csrc/sru_cuda_kernel.cu -o sru_cuda_kernel.cuda.o
nvcc fatal : Value 'c++14' is not defined for option 'std'
ninja: build stopped: subcommand failed.

warnings.warn("Just-in-time loading and compiling the CUDA kernels of SRU was unsuccessful. "
Traceback (most recent call last):
File "/media/xf/F/code/VIBE-master/practice/pytorch_sru_practice.py", line 18, in
output_states, c_states = rnn(x) # forward pass
File "/home/xf/miniconda3/envs/actor/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in call_impl
result = self.forward(*input, **kwargs)
File "/home/xf/miniconda3/envs/actor/lib/python3.8/site-packages/sru/modules.py", line 634, in forward
h, c = rnn(prevx, c0
[i], mask_pad=mask_pad)
File "/home/xf/miniconda3/envs/actor/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "/home/xf/miniconda3/envs/actor/lib/python3.8/site-packages/sru/modules.py", line 276, in forward
h, c = self.apply_recurrence(U, V, residual, c0, scale_val, mask_c, mask_pad)
File "/home/xf/miniconda3/envs/actor/lib/python3.8/site-packages/sru/modules.py", line 298, in apply_recurrence
return elementwise_recurrence_gpu(U, residual, V, self.bias, c0,
File "/home/xf/miniconda3/envs/actor/lib/python3.8/site-packages/sru/ops.py", line 129, in elementwise_recurrence_gpu
return ElementwiseRecurrence.apply(
File "/home/xf/miniconda3/envs/actor/lib/python3.8/site-packages/sru/cuda_functional.py", line 176, in forward
h, last_hidden, c = elementwise_recurrence_forward(
RuntimeError: Caught an unknown exception!

@xianyu-123
Copy link
Author

xianyu-123 commented Nov 18, 2022 via email

@Caihonghua
Copy link

Caihonghua commented Nov 18, 2022 via email

@amituofo1996
Copy link

I already install cuda,and set path value , but still got this error

@skwskw0303
Copy link

D:\Users\skwsk\anaconda3\envs\skw\python.exe D:\wenxiandaima\ACRNN_EEG-main\ACRNN_EEG-main\main.py
D:\wenxiandaima\ACRNN_EEG-main\ACRNN_EEG-main\module\sru\cuda_functional.py:23: UserWarning: Just-in-time loading and compiling the CUDA kernels of SRU was unsuccessful. Got the following error:
CUDA_HOME environment variable is not set. Please set it to your CUDA install root.
warnings.warn("Just-in-time loading and compiling the CUDA kernels of SRU was unsuccessful. "
(800, 384, 32)
(800,)
Traceback (most recent call last):
File "D:\wenxiandaima\ACRNN_EEG-main\ACRNN_EEG-main\main.py", line 112, in
output = model(batch_x)
^^^^^^^^^^^^^^
File "D:\Users\skwsk\anaconda3\envs\skw\Lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\wenxiandaima\ACRNN_EEG-main\ACRNN_EEG-main\ACRNN.py", line 46, in forward
x_rn, x_c = self.sru(x_cn) #[10,1,64] [10,1,64]
^^^^^^^^^^^^^^
File "D:\Users\skwsk\anaconda3\envs\skw\Lib\site-packages\torch\nn\modules\module.py", line 1501, in call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\wenxiandaima\ACRNN_EEG-main\ACRNN_EEG-main\module\sru\modules.py", line 634, in forward
h, c = rnn(prevx, c0
[i], mask_pad=mask_pad)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\Users\skwsk\anaconda3\envs\skw\Lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\wenxiandaima\ACRNN_EEG-main\ACRNN_EEG-main\module\sru\modules.py", line 276, in forward
h, c = self.apply_recurrence(U, V, residual, c0, scale_val, mask_c, mask_pad)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\wenxiandaima\ACRNN_EEG-main\ACRNN_EEG-main\module\sru\modules.py", line 298, in apply_recurrence
return elementwise_recurrence_gpu(U, residual, V, self.bias, c0,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\wenxiandaima\ACRNN_EEG-main\ACRNN_EEG-main\module\sru\ops.py", line 129, in elementwise_recurrence_gpu
return ElementwiseRecurrence.apply(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\Users\skwsk\anaconda3\envs\skw\Lib\site-packages\torch\autograd\function.py", line 506, in apply
return super().apply(*args, **kwargs) # type: ignore[misc]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\wenxiandaima\ACRNN_EEG-main\ACRNN_EEG-main\module\sru\cuda_functional.py", line 176, in forward
h, last_hidden, c = elementwise_recurrence_forward(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
RuntimeError: Caught an unknown exception!

Process finished with exit code 1
How to solve it?

@Caihonghua
Copy link

Caihonghua commented Sep 18, 2023 via email

@xianyu-123
Copy link
Author

xianyu-123 commented Sep 18, 2023 via email

@Serein-0212
Copy link

请问您解决了吗

@xianyu-123
Copy link
Author

xianyu-123 commented Feb 19, 2024 via email

@Serein-0212
Copy link

have you solved the problem?

@Caihonghua
Copy link

Caihonghua commented Feb 19, 2024 via email

@Serein-0212
Copy link

/home/xf/miniconda3/envs/actor/lib/python3.8/site-packages/sru/cuda_functional.py:23: UserWarning: Just-in-time loading and compiling the CUDA kernels of SRU was unsuccessful. Got the following error: Error building extension 'sru_cuda': [1/2] /usr/local/cuda/bin/nvcc -DTORCH_EXTENSION_NAME=sru_cuda -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE="gcc" -DPYBIND11_STDLIB="libstdcpp" -DPYBIND11_BUILD_ABI="cxxabi1011" -isystem /home/xf/miniconda3/envs/actor/lib/python3.8/site-packages/torch/include -isystem /home/xf/miniconda3/envs/actor/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -isystem /home/xf/miniconda3/envs/actor/lib/python3.8/site-packages/torch/include/TH -isystem /home/xf/miniconda3/envs/actor/lib/python3.8/site-packages/torch/include/THC -isystem /usr/local/cuda/include -isystem /home/xf/miniconda3/envs/actor/include/python3.8 -D_GLIBCXX_USE_CXX11_ABI=0 -D__CUDA_NO_HALF_OPERATORS -D__CUDA_NO_HALF_CONVERSIONS_ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr -gencode=arch=compute_61,code=compute_61 -gencode=arch=compute_61,code=sm_61 --compiler-options '-fPIC' -std=c++14 -c /home/xf/miniconda3/envs/actor/lib/python3.8/site-packages/sru/csrc/sru_cuda_kernel.cu -o sru_cuda_kernel.cuda.o FAILED: sru_cuda_kernel.cuda.o /usr/local/cuda/bin/nvcc -DTORCH_EXTENSION_NAME=sru_cuda -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE="gcc" -DPYBIND11_STDLIB="libstdcpp" -DPYBIND11_BUILD_ABI="cxxabi1011" -isystem /home/xf/miniconda3/envs/actor/lib/python3.8/site-packages/torch/include -isystem /home/xf/miniconda3/envs/actor/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -isystem /home/xf/miniconda3/envs/actor/lib/python3.8/site-packages/torch/include/TH -isystem /home/xf/miniconda3/envs/actor/lib/python3.8/site-packages/torch/include/THC -isystem /usr/local/cuda/include -isystem /home/xf/miniconda3/envs/actor/include/python3.8 -D_GLIBCXX_USE_CXX11_ABI=0 -D__CUDA_NO_HALF_OPERATORS -D__CUDA_NO_HALF_CONVERSIONS_ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr -gencode=arch=compute_61,code=compute_61 -gencode=arch=compute_61,code=sm_61 --compiler-options '-fPIC' -std=c++14 -c /home/xf/miniconda3/envs/actor/lib/python3.8/site-packages/sru/csrc/sru_cuda_kernel.cu -o sru_cuda_kernel.cuda.o nvcc fatal : Value 'c++14' is not defined for option 'std' ninja: build stopped: subcommand failed.

warnings.warn("Just-in-time loading and compiling the CUDA kernels of SRU was unsuccessful. " Traceback (most recent call last): File "/media/xf/F/code/VIBE-master/practice/pytorch_sru_practice.py", line 18, in output_states, c_states = rnn(x) # forward pass File "/home/xf/miniconda3/envs/actor/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in call_impl result = self.forward(*input, **kwargs) File "/home/xf/miniconda3/envs/actor/lib/python3.8/site-packages/sru/modules.py", line 634, in forward h, c = rnn(prevx, c0[i], mask_pad=mask_pad) File "/home/xf/miniconda3/envs/actor/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl result = self.forward(*input, **kwargs) File "/home/xf/miniconda3/envs/actor/lib/python3.8/site-packages/sru/modules.py", line 276, in forward h, c = self.apply_recurrence(U, V, residual, c0, scale_val, mask_c, mask_pad) File "/home/xf/miniconda3/envs/actor/lib/python3.8/site-packages/sru/modules.py", line 298, in apply_recurrence return elementwise_recurrence_gpu(U, residual, V, self.bias, c0, File "/home/xf/miniconda3/envs/actor/lib/python3.8/site-packages/sru/ops.py", line 129, in elementwise_recurrence_gpu return ElementwiseRecurrence.apply( File "/home/xf/miniconda3/envs/actor/lib/python3.8/site-packages/sru/cuda_functional.py", line 176, in forward h, last_hidden, c = elementwise_recurrence_forward( RuntimeError: Caught an unknown exception!

have you solved the problem?

@Serein-0212
Copy link

Hi, have you solved this problem?

have you solved the problem?

@Serein-0212
Copy link

/home/wgj/anaconda3/bin/python /home/wgj/Pyedu/srutest.py /home/wgj/anaconda3/lib/python3.8/site-packages/sru/cuda_functional.py:22: UserWarning: Just-in-time loading and compiling the CUDA kernels of SRU was unsuccessful. Got the following error: Error building extension 'sru_cuda': [1/2] /home/wgj/anaconda3/bin/nvcc -DTORCH_EXTENSION_NAME=sru_cuda -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE="gcc" -DPYBIND11_STDLIB="libstdcpp" -DPYBIND11_BUILD_ABI="cxxabi1011" -isystem /home/wgj/anaconda3/lib/python3.8/site-packages/torch/include -isystem /home/wgj/anaconda3/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -isystem /home/wgj/anaconda3/lib/python3.8/site-packages/torch/include/TH -isystem /home/wgj/anaconda3/lib/python3.8/site-packages/torch/include/THC -isystem /home/wgj/anaconda3/include -isystem /home/wgj/anaconda3/include/python3.8 -D_GLIBCXX_USE_CXX11_ABI=0 -D__CUDA_NO_HALF_OPERATORS -D__CUDA_NO_HALF_CONVERSIONS_ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr -gencode=arch=compute_61,code=sm_61 --compiler-options '-fPIC' -std=c++14 -c /home/wgj/anaconda3/lib/python3.8/site-packages/sru/csrc/sru_cuda_kernel.cu -o sru_cuda_kernel.cuda.o FAILED: sru_cuda_kernel.cuda.o /home/wgj/anaconda3/bin/nvcc -DTORCH_EXTENSION_NAME=sru_cuda -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE="gcc" -DPYBIND11_STDLIB="libstdcpp" -DPYBIND11_BUILD_ABI="cxxabi1011" -isystem /home/wgj/anaconda3/lib/python3.8/site-packages/torch/include -isystem /home/wgj/anaconda3/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -isystem /home/wgj/anaconda3/lib/python3.8/site-packages/torch/include/TH -isystem /home/wgj/anaconda3/lib/python3.8/site-packages/torch/include/THC -isystem /home/wgj/anaconda3/include -isystem /home/wgj/anaconda3/include/python3.8 -D_GLIBCXX_USE_CXX11_ABI=0 -D__CUDA_NO_HALF_OPERATORS -D__CUDA_NO_HALF_CONVERSIONS_ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr -gencode=arch=compute_61,code=sm_61 --compiler-options '-fPIC' -std=c++14 -c /home/wgj/anaconda3/lib/python3.8/site-packages/sru/csrc/sru_cuda_kernel.cu -o sru_cuda_kernel.cuda.o /home/wgj/anaconda3/lib/python3.8/site-packages/sru/csrc/sru_cuda_kernel.cu(845): internal error: unable to find __cudaPushCallConfiguration declaration. CUDA toolkit installation may be corrupt.

1 catastrophic error detected in the compilation of "/home/wgj/anaconda3/lib/python3.8/site-packages/sru/csrc/sru_cuda_kernel.cu". Compilation aborted. ninja: build stopped: subcommand failed.

warnings.warn("Just-in-time loading and compiling the CUDA kernels of SRU was unsuccessful. " Traceback (most recent call last): File "/home/wgj/Pyedu/srutest.py", line 19, in output_states, c_states = rnn(x) # forward pass File "/home/wgj/anaconda3/lib/python3.8/site-packages/torch/nn/modules/module.py", line 727, in call_impl result = self.forward(*input, **kwargs) File "/home/wgj/anaconda3/lib/python3.8/site-packages/sru/modules.py", line 634, in forward h, c = rnn(prevx, c0[i], mask_pad=mask_pad) File "/home/wgj/anaconda3/lib/python3.8/site-packages/torch/nn/modules/module.py", line 727, in _call_impl result = self.forward(*input, **kwargs) File "/home/wgj/anaconda3/lib/python3.8/site-packages/sru/modules.py", line 276, in forward h, c = self.apply_recurrence(U, V, residual, c0, scale_val, mask_c, mask_pad) File "/home/wgj/anaconda3/lib/python3.8/site-packages/sru/modules.py", line 298, in apply_recurrence return elementwise_recurrence_gpu(U, residual, V, self.bias, c0, File "/home/wgj/anaconda3/lib/python3.8/site-packages/sru/ops.py", line 129, in elementwise_recurrence_gpu return ElementwiseRecurrence.apply( File "/home/wgj/anaconda3/lib/python3.8/site-packages/sru/cuda_functional.py", line 175, in forward h, last_hidden, c = elementwise_recurrence_forward( RuntimeError: Caught an unknown exception!

Process finished with exit code 1

请问您解决了吗

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

5 participants