import torchaudio causes error with latest version of PyTorch
See original GitHub issue🐛 Bug
import torchaudio
with latest version of PyTorch built from source causes error:
>>> import torchaudio
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/Users/sethweidman/anaconda3/lib/python3.7/site-packages/torchaudio/__init__.py", line 5, in <module>
import _torch_sox
ImportError: dlopen(/Users/sethweidman/anaconda3/lib/python3.7/site-packages/_torch_sox.cpython-37m-darwin.so, 2): Symbol not found: __ZN3c1011CPUTensorIdEv
Referenced from: /Users/sethweidman/anaconda3/lib/python3.7/site-packages/_torch_sox.cpython-37m-darwin.so
Expected in: flat namespace
in /Users/sethweidman/anaconda3/lib/python3.7/site-packages/_torch_sox.cpython-37m-darwin.so
Expected behavior
Nothing.
Environment
Collecting environment information...
PyTorch version: 1.4.0a0+013ca32
Is debug build: No
CUDA used to build PyTorch: None
OS: Mac OSX 10.14.6
GCC version: Could not collect
CMake version: version 3.14.0
Python version: 3.7
Is CUDA available: No
CUDA runtime version: No CUDA
GPU models and configuration: No CUDA
Nvidia driver version: No CUDA
cuDNN version: No CUDA
Versions of relevant libraries:
[pip] msgpack-numpy==0.4.4.3
[pip] numpy==1.17.2
[pip] numpydoc==0.9.1
[pip] pytorch-sphinx-theme==0.0.24
[pip] torch==1.4.0a0+013ca32
[pip] torchaudio==0.3.0
[pip] torchtext==0.4.0
[pip] torchvision==0.5.0a0+e8b830f
[conda] _tflow_select 2.3.0 mkl
[conda] blas 1.0 mkl
[conda] mkl 2019.4 233
[conda] mkl-include 2019.4 233
[conda] mkl-service 2.3.0 py37hfbe908c_0
[conda] mkl_fft 1.0.14 py37h5e564d8_0
[conda] mkl_random 1.1.0 py37ha771720_0
[conda] pytorch-sphinx-theme 0.0.24 dev_0 <develop>
[conda] tensorflow 1.13.1 mkl_py37h70c3834_0
[conda] tensorflow-base 1.13.1 mkl_py37h66b1bf0_0
[conda] torch 1.4.0a0+013ca32 pypi_0 pypi
[conda] torchaudio 0.3.0 pypi_0 pypi
[conda] torchtext 0.4.0 pypi_0 pypi
[conda] torchvision 0.4.0 pypi_0 pypi
Issue Analytics
- State:
- Created 4 years ago
- Reactions:3
- Comments:8 (8 by maintainers)
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Top GitHub Comments
As mentioned here, uploading the new version fixed the issue on my side. Please feel free to re-open if it is not fixed on yours.
As mentioned in #308, the new binaries need to be uploaded to pypi and conda. The former is done, but not the latter.