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Traceback (most recent call last):
File "/usr/lib/python3.4/inspect.py", line 977, in getfullargspec
skip_bound_arg=False)
File "/usr/lib/python3.4/inspect.py", line 1965, in _signature_internal
skip_bound_arg=skip_bound_arg)
File "/usr/lib/python3.4/inspect.py", line 1890, in _signature_from_builtin
raise ValueError("no signature found for builtin {!r}".format(func))
ValueError: no signature found for builtin <method 'max' of 'numpy.ndarray' objects>
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "tensor_flow_test.py", line 1, in
import tensorflow as tf
File "/home/padraig/.local/lib/python3.4/site-packages/tensorflow/init.py", line 23, in
from tensorflow.python import *
File "/home/padraig/.local/lib/python3.4/site-packages/tensorflow/python/init.py", line 62, in
import tensorflow.contrib as contrib
File "/home/padraig/.local/lib/python3.4/site-packages/tensorflow/contrib/init.py", line 26, in
from tensorflow.contrib import learn
File "/home/padraig/.local/lib/python3.4/site-packages/tensorflow/contrib/learn/init.py", line 20, in
from tensorflow.contrib.learn.python.learn import *
File "/home/padraig/.local/lib/python3.4/site-packages/tensorflow/contrib/learn/python/init.py", line 20, in
from tensorflow.contrib.learn.python.learn import *
File "/home/padraig/.local/lib/python3.4/site-packages/tensorflow/contrib/learn/python/learn/init.py", line 22, in
from tensorflow.contrib.learn.python.learn.io import *
File "/home/padraig/.local/lib/python3.4/site-packages/tensorflow/contrib/learn/python/learn/io/init.py", line 20, in
from tensorflow.contrib.learn.python.learn.io.dask_io import *
File "/home/padraig/.local/lib/python3.4/site-packages/tensorflow/contrib/learn/python/learn/io/dask_io.py", line 23, in
import dask.dataframe as dd
File "/usr/local/lib/python3.4/dist-packages/dask/dataframe/init.py", line 1, in
from .core import (DataFrame, Series, Index, _Frame, map_partitions,
File "/usr/local/lib/python3.4/dist-packages/dask/dataframe/core.py", line 1234, in
class Index(Series):
File "/usr/local/lib/python3.4/dist-packages/dask/dataframe/core.py", line 1266, in Index
@derived_from(pd.Index)
File "/usr/local/lib/python3.4/dist-packages/dask/utils.py", line 526, in wrapper
original_args = getargspec(original_method).args
File "/usr/local/lib/python3.4/dist-packages/dask/compatibility.py", line 190, in getargspec
return _getargspec(func)
File "/usr/local/lib/python3.4/dist-packages/dask/compatibility.py", line 35, in _getargspec
return inspect.getfullargspec(func)
File "/usr/lib/python3.4/inspect.py", line 983, in getfullargspec
raise TypeError('unsupported callable') from ex
TypeError: unsupported callable
I manually downloaded, renamed and installed the wheel for Python3.5 and it is now working.
The text was updated successfully, but these errors were encountered:
With PR #2585, we now have Linux Python 3.5 whl files built and tested nightly. The links to the whl files and build history can be found in the main README.md: https://github.com/tensorflow/tensorflow/
Linux Python 3.5 whl files will also be included in future releases.
I have been following the installation for Python3.4 using
sudo pip3 install --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.8.0-cp34-cp34m-linux_x86_64.whl
The installation says it was successful
When I try to run the examples I get an error
Traceback (most recent call last):
File "/usr/lib/python3.4/inspect.py", line 977, in getfullargspec
skip_bound_arg=False)
File "/usr/lib/python3.4/inspect.py", line 1965, in _signature_internal
skip_bound_arg=skip_bound_arg)
File "/usr/lib/python3.4/inspect.py", line 1890, in _signature_from_builtin
raise ValueError("no signature found for builtin {!r}".format(func))
ValueError: no signature found for builtin <method 'max' of 'numpy.ndarray' objects>
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "tensor_flow_test.py", line 1, in
import tensorflow as tf
File "/home/padraig/.local/lib/python3.4/site-packages/tensorflow/init.py", line 23, in
from tensorflow.python import *
File "/home/padraig/.local/lib/python3.4/site-packages/tensorflow/python/init.py", line 62, in
import tensorflow.contrib as contrib
File "/home/padraig/.local/lib/python3.4/site-packages/tensorflow/contrib/init.py", line 26, in
from tensorflow.contrib import learn
File "/home/padraig/.local/lib/python3.4/site-packages/tensorflow/contrib/learn/init.py", line 20, in
from tensorflow.contrib.learn.python.learn import *
File "/home/padraig/.local/lib/python3.4/site-packages/tensorflow/contrib/learn/python/init.py", line 20, in
from tensorflow.contrib.learn.python.learn import *
File "/home/padraig/.local/lib/python3.4/site-packages/tensorflow/contrib/learn/python/learn/init.py", line 22, in
from tensorflow.contrib.learn.python.learn.io import *
File "/home/padraig/.local/lib/python3.4/site-packages/tensorflow/contrib/learn/python/learn/io/init.py", line 20, in
from tensorflow.contrib.learn.python.learn.io.dask_io import *
File "/home/padraig/.local/lib/python3.4/site-packages/tensorflow/contrib/learn/python/learn/io/dask_io.py", line 23, in
import dask.dataframe as dd
File "/usr/local/lib/python3.4/dist-packages/dask/dataframe/init.py", line 1, in
from .core import (DataFrame, Series, Index, _Frame, map_partitions,
File "/usr/local/lib/python3.4/dist-packages/dask/dataframe/core.py", line 1234, in
class Index(Series):
File "/usr/local/lib/python3.4/dist-packages/dask/dataframe/core.py", line 1266, in Index
@derived_from(pd.Index)
File "/usr/local/lib/python3.4/dist-packages/dask/utils.py", line 526, in wrapper
original_args = getargspec(original_method).args
File "/usr/local/lib/python3.4/dist-packages/dask/compatibility.py", line 190, in getargspec
return _getargspec(func)
File "/usr/local/lib/python3.4/dist-packages/dask/compatibility.py", line 35, in _getargspec
return inspect.getfullargspec(func)
File "/usr/lib/python3.4/inspect.py", line 983, in getfullargspec
raise TypeError('unsupported callable') from ex
TypeError: unsupported callable
I manually downloaded, renamed and installed the wheel for Python3.5 and it is now working.
The text was updated successfully, but these errors were encountered: