Comments (8)
+1
Also experiencing this.
Edit: I resolved my issue by commenting out the old nvcc flags in CMakeLists.txt. Specifically, lines 35-38
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+1
Also experiencing this.Edit: I resolved my issue by commenting out the old nvcc flags in CMakeLists.txt. Specifically, lines 35-38
Thank you so much!
I have switched to nn.CTCLoss because I could not install warp-ctc but after switching to nn.CTCLoss my accuracy was decreasing...
from warp-ctc.
Thank you very much, I solved the problem through this method
from warp-ctc.
Thanks, @Chudbrochil. This worked for me as well trying to setup warp_ctc using cuda 11.2.
@Luna-yu: if @Chudbrochil solution worked for you, want to close the issue?
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(yu_tf_py) root@gao-PowerEdge-T640:/yu_ex/warp-ctc3333/pytorch_binding# python setup.py install/yu_ex/warp-ctc3333/pytorch_binding# pip install torch.utils
Traceback (most recent call last):
File "setup.py", line 6, in
from torch.utils.cpp_extension import BuildExtension, CppExtension
ModuleNotFoundError: No module named 'torch.utils'
(yu_tf_py) root@gao-PowerEdge-T640:
Requirement already satisfied: torch.utils in /root/ana3/envs/yu_tf_py/lib/python3.6/site-packages (0.1.2)
Requirement already satisfied: torch in /root/ana3/envs/yu_tf_py/lib/python3.6/site-packages (from torch.utils) (1.7.1+cu110)
Requirement already satisfied: numpy in /root/ana3/envs/yu_tf_py/lib/python3.6/site-packages (from torch->torch.utils) (1.19.2)
Requirement already satisfied: dataclasses in /root/ana3/envs/yu_tf_py/lib/python3.6/site-packages (from torch->torch.utils) (0.8)
Requirement already satisfied: typing-extensions in /root/ana3/envs/yu_tf_py/lib/python3.6/site-packages (from torch->torch.utils) (3.7.4.3)
I encountered such a problem when running install. Would you like to ask me if you have encountered any?
cuda11.1 torch 1.7.1
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This seems like a separate issue. We can continue discussing it on this thread, but you may want to close the issue as it seems like you have successfully run the make
command.
Have you tried uninstalling and re-installing pytorch?
What OS are you running? If you're running linux, you can run this command to double check what Cuda version you have installed:
/usr/local/cuda/bin/nvcc --version
from warp-ctc.
This seems like a separate issue. We can continue discussing it on this thread, but you may want to close the issue as it seems like you have successfully run the
make
command.Have you tried uninstalling and re-installing pytorch?
What OS are you running? If you're running linux, you can run this command to double check what Cuda version you have installed:
/usr/local/cuda/bin/nvcc --version
thank you!
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+1
Also experiencing this.
Edit: I resolved my issue by commenting out the old nvcc flags in CMakeLists.txt. Specifically, lines 35-38Thank you so much! I have switched to nn.CTCLoss because I could not install warp-ctc but after switching to nn.CTCLoss my accuracy was decreasing...
Lastest version of Pytorch includes CTC in its module, but there are still many project using the early version. :(
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Related Issues (20)
- Use pytest-flake8 or pytest-flakes instead of pytest-pep8 HOT 1
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- GPU execution requested, but not compiled with GPU support HOT 3
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- Doubts about the difference between pytorch's own ctcloss and warp-ctc HOT 2
- Installed successfully but import fails with "torch.utils.ffi is deprecated. Please use cpp extensions instead" HOT 2
- fail to make HOT 1
- libcudart.so.10.2:
- #error This file requires compiler and library support for the ISO C++ 2011 standard. This support is currently experimental, and must be enabled with the -std=c++11 or -std=gnu++11 compiler options. HOT 1
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