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https://issues.apache.org/jira/browse/ARROW-2805?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wes McKinney updated ARROW-2805:
--------------------------------
Labels: tensorflow (was: )
> [Python] TensorFlow import workaround not working with tensorflow-gpu if CUDA
> is not installed
> ----------------------------------------------------------------------------------------------
>
> Key: ARROW-2805
> URL: https://issues.apache.org/jira/browse/ARROW-2805
> Project: Apache Arrow
> Issue Type: Improvement
> Components: Python
> Reporter: Philipp Moritz
> Priority: Major
> Labels: tensorflow
>
> TensorFlow version: 1.7 (GPU enabled but CUDA is not installed)
> tensorflow-gpu was installed via pip install
> ```
> import ray
> File "/home/eric/Desktop/ray-private/python/ray/__init__.py", line 28, in
> <module>
> import pyarrow # noqa: F401
> File
> "/home/eric/Desktop/ray-private/python/ray/pyarrow_files/pyarrow/__init__.py",
> line 55, in <module>
> compat.import_tensorflow_extension()
> File
> "/home/eric/Desktop/ray-private/python/ray/pyarrow_files/pyarrow/compat.py",
> line 193, in import_tensorflow_extension
> ctypes.CDLL(ext)
> File "/usr/lib/python3.5/ctypes/__init__.py", line 347, in __init__
> self._handle = _dlopen(self._name, mode)
> OSError: libcublas.so.9.0: cannot open shared object file: No such file or
> directory
> ```
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