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torchaudio Installation issue #657
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The
This way, the third-party packages (such as |
Seems like i cannot install it that way Happens when running ./packaging/build_from_source.sh $PWD Currently running on the Jetson Xavier AGX, any help would be appreciatet for this since i cannot use Torchaudio otherwise. Issue seems to be libmad and lame. |
Hi @ark626 Your issue is different from what this issue is tracking, so can you open a new issue? The starting point is to install just SoX. If your environment has a package manager that installs SoX development package ( Also when you open an issue, please paste the result of the command |
I am able to install torchaudio successfully after following the above steps . |
@mthrok , I think we should keep this issue open until the fix is merged into master , so that others can the find the temporary fix . Otherwise we can close it . |
Sounds good to me. We can keep this open. |
#625 is merged. Just |
cc @bhargavkathivarapu I am reverting the behavior of codecs build since it caused issues elsewhere |
Are there docs we might need to update for this new flag? |
README has been updated. |
🐛 Bug
Unable to install torchaudio from git clone . Getting below error .
To Reproduce
Steps to reproduce the behavior:
Expected behavior
Torchaudio module should be installed
Environment
Collecting environment information...
PyTorch version: 1.4.0
Is debug build: No
CUDA used to build PyTorch: 10.0
OS: Ubuntu 18.04.3 LTS
GCC version: (Ubuntu 7.4.0-1ubuntu1~18.04.1) 7.4.0
CMake version: Could not collect
Python version: 3.6
Is CUDA available: Yes
CUDA runtime version: Could not collect
GPU models and configuration: Could not collect
Nvidia driver version: Could not collect
cuDNN version: Could not collect
Versions of relevant libraries:
[pip] numpy==1.17.2
[pip] torch==1.4.0
[pip] torchvision==0.5.0
[conda] blas 1.0 mkl
[conda] cudatoolkit 10.0.130 0
[conda] mkl 2019.4 243
[conda] mkl-service 2.3.0 py36he904b0f_0
[conda] mkl_fft 1.0.14 py36ha843d7b_0
[conda] mkl_random 1.1.0 py36hd6b4f25_0
[conda] numpy 1.17.2 py36haad9e8e_0
[conda] numpy-base 1.17.2 py36hde5b4d6_0
[conda] pytorch 1.4.0 py3.6_cuda10.0.130_cudnn7.6.3_0 pytorch
[conda] torchvision 0.5.0 py36_cu100 pytorch
Additional context
I tried above in 2 different environments , But it resulted in same " #include <sox.h> " issue .
But some how my already existing clone of torchaudio master in develop mode with pytorch also in develop mode in different env , is able to compile .
I think keeping
include <sox.h>
insidesox.h
is not needed ? Am i correct ?The text was updated successfully, but these errors were encountered: