Ao importar Keras usando o comando "import keras", recebo o seguinte erro
//Erro
"" "
Usando o back-end do TensorFlow.
Traceback (última chamada mais recente):
Arquivo "
Arquivo "/home/dheer1206/anaconda3/lib/python3.6/site-packages/keras/__init__.py", linha 4, em
a partir de . importar ativações
Arquivo "/home/dheer1206/anaconda3/lib/python3.6/site-packages/keras/activations.py", linha 6, em
de .engine import Layer
Arquivo "/home/dheer1206/anaconda3/lib/python3.6/site-packages/keras/engine/__init__.py", linha 8, em
de .training import Model
Arquivo "/home/dheer1206/anaconda3/lib/python3.6/site-packages/keras/engine/training.py", linha 25, em
from .. importar callbacks como cbks
Arquivo "/home/dheer1206/anaconda3/lib/python3.6/site-packages/keras/callbacks.py", linha 26, em
de tensorflow.contrib.tensorboard.plugins importar projetor
Arquivo "/home/dheer1206/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/__init__.py", linha 31, em
de tensorflow.contrib import factorization
Arquivo "/home/dheer1206/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/factorization/__init__.py", linha 24, em
de tensorflow.contrib.factorization.python.ops.gmm import *
Arquivo "/home/dheer1206/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/factorization/python/ops/gmm.py", linha 27, em
do estimador de importação de tensorflow.contrib.learn.python.learn.estimators
Arquivo "/home/dheer1206/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/__init__.py", linha 88, em
de tensorflow.contrib.learn.python.learn import *
Arquivo "/home/dheer1206/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/__init__.py", linha 23, em
de tensorflow.contrib.learn.python.learn import *
Arquivo "/home/dheer1206/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/__init__.py", linha 25, em
de tensorflow.contrib.learn.python.learn import estimators
Arquivo "/home/dheer1206/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/estimators/__init__.py", linha 297, em
de tensorflow.contrib.learn.python.learn.estimators.dnn import DNNClassifier
Arquivo "/home/dheer1206/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/estimators/dnn.py", linha 30, em
de tensorflow.contrib.learn.python.learn.estimators import dnn_linear_combined
Arquivo "/home/dheer1206/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/estimators/dnn_linear_combined.py", linha 31, em
do estimador de importação de tensorflow.contrib.learn.python.learn.estimators
Arquivo "/home/dheer1206/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/estimators/estimator.py", linha 49, em
de tensorflow.contrib.learn.python.learn.learn_io import data_feeder
Arquivo "/home/dheer1206/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/learn_io/__init__.py", linha 21, em
de tensorflow.contrib.learn.python.learn.learn_io.dask_io import extract_dask_data
Arquivo "/home/dheer1206/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/learn_io/dask_io.py", linha 26, em
importar dask.dataframe como dd
Arquivo "/home/dheer1206/anaconda3/lib/python3.6/site-packages/dask/dataframe/__init__.py", linha 3, em
de importação de .core (DataFrame, Series, Index, _Frame, map_partitions,
Arquivo "/home/dheer1206/anaconda3/lib/python3.6/site-packages/dask/dataframe/core.py", linha 40, em
pd.core.computation.expressions.set_use_numexpr (False)
AttributeError: o módulo 'pandas.core.computation' não tem o atributo 'expressões'
"" "
///
Versão do TensorFlow - 1.3.0
Versão Pandas - 0.21.0
Versão Dask - 0.15.2
Se você atualizar sua versão do dask para> = 0.15.3, tudo estará bem.
Meu dask é 0.15.3 e recebo este erro !!
jalal<strong i="6">@goku</strong> 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<strong i="7">@goku</strong> 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
isso resolveu o problema
pip install dask --upgrade
Esqueci completamente de carregar o módulo Anaconda que estava usando.
Ainda estou tendo esse problema, apesar de atualizar o dask para a versão mais recente!
Atualizar o dask ajudou, estou usando o tensorflow 1.10 e atualizei o dask para 1.9.0. Eu estava enfrentando problemas semelhantes ao usar o tensorflow.
isso resolveu o problema
pip install dask --upgrade
Comentários muito úteis
Se você atualizar sua versão do dask para> = 0.15.3, tudo estará bem.