Comments (17)
Hi, have you solved this problem?
from sru.
from sru.
from sru.
/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!
from sru.
from sru.
from sru.
I already install cuda,and set path value , but still got this error
from sru.
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?
from sru.
from sru.
from sru.
请问您解决了吗
from sru.
from sru.
have you solved the problem?
from sru.
from sru.
/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?
from sru.
Hi, have you solved this problem?
have you solved the problem?
from sru.
/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
from sru.
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from sru.