When Importing Keras using the command "import keras" , I'm getting the Following error
//Error """
Using TensorFlow backend.
Traceback (most recent call last):
File "
""" ///
TensorFlow Version - 1.3.0 Pandas Version - 0.21.0 Dask Version - 0.15.2
Comment From: TomAugspurger
If you update your version of dask to >= 0.15.3, things should be all good.
Comment From: monajalal
My dask is 0.15.3 and I get this error!!
jalal@goku pose-tensorflow]$ TF_CUDNN_USE_AUTOTUNE=0 python demo/demo_multiperson.py
/scratch/sjn/anaconda/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: compiletime version 3.5 of module 'tensorflow.python.framework.fast_tensor_util' does not match runtime version 3.6
return f(*args, **kwds)
/scratch/sjn/anaconda/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
from ._conv import register_converters as _register_converters
Traceback (most recent call last):
File "demo/demo_multiperson.py", line 12, in <module>
from nnet import predict
File "demo/../nnet/predict.py", line 5, in <module>
from nnet.net_factory import pose_net
File "demo/../nnet/net_factory.py", line 1, in <module>
from nnet.pose_net import PoseNet
File "demo/../nnet/pose_net.py", line 4, in <module>
import tensorflow.contrib.slim as slim
File "/scratch/sjn/anaconda/lib/python3.6/site-packages/tensorflow/contrib/__init__.py", line 31, in <module>
from tensorflow.contrib import distributions
File "/scratch/sjn/anaconda/lib/python3.6/site-packages/tensorflow/contrib/distributions/__init__.py", line 33, in <module>
from tensorflow.contrib.distributions.python.ops.estimator import *
File "/scratch/sjn/anaconda/lib/python3.6/site-packages/tensorflow/contrib/distributions/python/ops/estimator.py", line 21, in <module>
from tensorflow.contrib.learn.python.learn.estimators.head import _compute_weighted_loss
File "/scratch/sjn/anaconda/lib/python3.6/site-packages/tensorflow/contrib/learn/__init__.py", line 92, in <module>
from tensorflow.contrib.learn.python.learn import *
File "/scratch/sjn/anaconda/lib/python3.6/site-packages/tensorflow/contrib/learn/python/__init__.py", line 23, in <module>
from tensorflow.contrib.learn.python.learn import *
File "/scratch/sjn/anaconda/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/__init__.py", line 25, in <module>
from tensorflow.contrib.learn.python.learn import estimators
File "/scratch/sjn/anaconda/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/estimators/__init__.py", line 297, in <module>
from tensorflow.contrib.learn.python.learn.estimators.dnn import DNNClassifier
File "/scratch/sjn/anaconda/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/estimators/dnn.py", line 30, in <module>
from tensorflow.contrib.learn.python.learn.estimators import dnn_linear_combined
File "/scratch/sjn/anaconda/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/estimators/dnn_linear_combined.py", line 31, in <module>
from tensorflow.contrib.learn.python.learn.estimators import estimator
File "/scratch/sjn/anaconda/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/estimators/estimator.py", line 49, in <module>
from tensorflow.contrib.learn.python.learn.learn_io import data_feeder
File "/scratch/sjn/anaconda/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/learn_io/__init__.py", line 21, in <module>
from tensorflow.contrib.learn.python.learn.learn_io.dask_io import extract_dask_data
File "/scratch/sjn/anaconda/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/learn_io/dask_io.py", line 26, in <module>
import dask.dataframe as dd
File "/scratch/sjn/anaconda/lib/python3.6/site-packages/dask/dataframe/__init__.py", line 3, in <module>
from .core import (DataFrame, Series, Index, _Frame, map_partitions,
File "/scratch/sjn/anaconda/lib/python3.6/site-packages/dask/dataframe/core.py", line 40, in <module>
pd.core.computation.expressions.set_use_numexpr(False)
AttributeError: module 'pandas.core.computation' has no attribute 'expressions'
[jalal@goku pose-tensorflow]$ conda list dask
# packages in environment at /scratch/sjn/anaconda:
#
dask 0.15.3 py36hdc2c8aa_0
dask-core 0.15.3 py36h10e6167_0
Comment From: monajalal
this solved the issue
pip install dask --upgrade
Comment From: AndrewYinLi
~~Completely forgot to load the Anaconda module I was using.~~ I am still experiencing this issue despite upgrading dask to the latest version!
Comment From: nathdipankar
Updating dask did help, I am using tensorflow 1.10 and upgraded dask to 1.9.0. I was facing similar issues while using tensorflow.
Comment From: vivek1739
this solved the issue
pip install dask --upgrade
