I'm new to TensorFlow and currently I'm trying to implement an LSTM using jupyter notebook.
But when I run the following code segment, I got some errors and couldn't find any solution.
How can I work through this error?
Code:
lstmCell = tf.contrib.rnn.BasicLSTMCell(lstmUnits)
lstmCell = tf.contrib.rnn.DropoutWrapper(cell=lstmCell, output_keep_prob=0.75)
value, _ = tf.nn.dynamic_rnn(lstmCell, data, dtype=tf.float32)
Error:
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-29-db6a6fc2c55e> in <module>()
----> 1 lstmCell = tf.contrib.rnn.BasicLSTMCell(lstmUnits)
2 lstmCell = tf.contrib.rnn.DropoutWrapper(cell=lstmCell, output_keep_prob=0.75)
3 value, _ = tf.nn.dynamic_rnn(lstmCell, data, dtype=tf.float32)
C:\Anaconda3\lib\site-packages\tensorflow\python\util\lazy_loader.py in __getattr__(self, item)
51
52 def __getattr__(self, item):
---> 53 module = self._load()
54 return getattr(module, item)
55
C:\Anaconda3\lib\site-packages\tensorflow\python\util\lazy_loader.py in _load(self)
40 def _load(self):
41 # Import the target module and insert it into the parent's namespace
---> 42 module = importlib.import_module(self.__name__)
43 self._parent_module_globals[self._local_name] = module
44
C:\Anaconda3\lib\importlib\__init__.py in import_module(name, package)
124 break
125 level += 1
--> 126 return _bootstrap._gcd_import(name[level:], package, level)
127
128
C:\Anaconda3\lib\importlib\_bootstrap.py in _gcd_import(name, package, level)
C:\Anaconda3\lib\importlib\_bootstrap.py in _find_and_load(name, import_)
C:\Anaconda3\lib\importlib\_bootstrap.py in _find_and_load_unlocked(name, import_)
C:\Anaconda3\lib\importlib\_bootstrap.py in _load_unlocked(spec)
C:\Anaconda3\lib\importlib\_bootstrap_external.py in exec_module(self, module)
C:\Anaconda3\lib\importlib\_bootstrap.py in _call_with_frames_removed(f, *args, **kwds)
C:\Anaconda3\lib\site-packages\tensorflow\contrib\__init__.py in <module>()
29 from tensorflow.contrib import data
30 from tensorflow.contrib import deprecated
---> 31 from tensorflow.contrib import distributions
32 from tensorflow.contrib import estimator
33 from tensorflow.contrib import factorization
C:\Anaconda3\lib\site-packages\tensorflow\contrib\distributions\__init__.py in <module>()
31 from tensorflow.contrib.distributions.python.ops.distribution_util import matrix_diag_transform
32 from tensorflow.contrib.distributions.python.ops.distribution_util import softplus_inverse
---> 33 from tensorflow.contrib.distributions.python.ops.estimator import *
34 from tensorflow.contrib.distributions.python.ops.geometric import *
35 from tensorflow.contrib.distributions.python.ops.independent import *
C:\Anaconda3\lib\site-packages\tensorflow\contrib\distributions\python\ops\estimator.py in <module>()
19 from __future__ import print_function
20
---> 21 from tensorflow.contrib.learn.python.learn.estimators.head import _compute_weighted_loss
22 from tensorflow.contrib.learn.python.learn.estimators.head import _RegressionHead
23 from tensorflow.python.framework import ops
C:\Anaconda3\lib\site-packages\tensorflow\contrib\learn\__init__.py in <module>()
90
91 # pylint: disable=wildcard-import
---> 92 from tensorflow.contrib.learn.python.learn import *
93 # pylint: enable=wildcard-import
94
C:\Anaconda3\lib\site-packages\tensorflow\contrib\learn\python\__init__.py in <module>()
21
22 # pylint: disable=wildcard-import
---> 23 from tensorflow.contrib.learn.python.learn import *
24 # pylint: enable=wildcard-import
C:\Anaconda3\lib\site-packages\tensorflow\contrib\learn\python\learn\__init__.py in <module>()
23 from tensorflow.contrib.learn.python.learn import basic_session_run_hooks
24 from tensorflow.contrib.learn.python.learn import datasets
---> 25 from tensorflow.contrib.learn.python.learn import estimators
26 from tensorflow.contrib.learn.python.learn import graph_actions
27 from tensorflow.contrib.learn.python.learn import learn_io as io
C:\Anaconda3\lib\site-packages\tensorflow\contrib\learn\python\learn\estimators\__init__.py in <module>()
295 from tensorflow.contrib.learn.python.learn.estimators._sklearn import NotFittedError
296 from tensorflow.contrib.learn.python.learn.estimators.constants import ProblemType
--> 297 from tensorflow.contrib.learn.python.learn.estimators.dnn import DNNClassifier
298 from tensorflow.contrib.learn.python.learn.estimators.dnn import DNNEstimator
299 from tensorflow.contrib.learn.python.learn.estimators.dnn import DNNRegressor
C:\Anaconda3\lib\site-packages\tensorflow\contrib\learn\python\learn\estimators\dnn.py in <module>()
28 from tensorflow.contrib.layers.python.layers import optimizers
29 from tensorflow.contrib.learn.python.learn import metric_spec
---> 30 from tensorflow.contrib.learn.python.learn.estimators import dnn_linear_combined
31 from tensorflow.contrib.learn.python.learn.estimators import estimator
32 from tensorflow.contrib.learn.python.learn.estimators import head as head_lib
C:\Anaconda3\lib\site-packages\tensorflow\contrib\learn\python\learn\estimators\dnn_linear_combined.py in <module>()
29 from tensorflow.contrib.layers.python.layers import optimizers
30 from tensorflow.contrib.learn.python.learn import metric_spec
---> 31 from tensorflow.contrib.learn.python.learn.estimators import estimator
32 from tensorflow.contrib.learn.python.learn.estimators import head as head_lib
33 from tensorflow.contrib.learn.python.learn.estimators import model_fn
C:\Anaconda3\lib\site-packages\tensorflow\contrib\learn\python\learn\estimators\estimator.py in <module>()
47 from tensorflow.contrib.learn.python.learn.estimators import tensor_signature
48 from tensorflow.contrib.learn.python.learn.estimators._sklearn import NotFittedError
---> 49 from tensorflow.contrib.learn.python.learn.learn_io import data_feeder
50 from tensorflow.contrib.learn.python.learn.utils import export
51 from tensorflow.contrib.learn.python.learn.utils import saved_model_export_utils
C:\Anaconda3\lib\site-packages\tensorflow\contrib\learn\python\learn\learn_io\__init__.py in <module>()
19 from __future__ import print_function
20
---> 21 from tensorflow.contrib.learn.python.learn.learn_io.dask_io import extract_dask_data
22 from tensorflow.contrib.learn.python.learn.learn_io.dask_io import extract_dask_labels
23 from tensorflow.contrib.learn.python.learn.learn_io.dask_io import HAS_DASK
C:\Anaconda3\lib\site-packages\tensorflow\contrib\learn\python\learn\learn_io\dask_io.py in <module>()
24 try:
25 # pylint: disable=g-import-not-at-top
---> 26 import dask.dataframe as dd
27 allowed_classes = (dd.Series, dd.DataFrame)
28 HAS_DASK = True
C:\Anaconda3\lib\site-packages\dask\dataframe\__init__.py in <module>()
1 from __future__ import print_function, division, absolute_import
2
----> 3 from .core import (DataFrame, Series, Index, _Frame, map_partitions,
4 repartition, to_delayed, to_datetime, to_timedelta)
5 from .groupby import Aggregation
C:\Anaconda3\lib\site-packages\dask\dataframe\core.py in <module>()
38 if PANDAS_VERSION >= '0.20.0':
39 from pandas.util import cache_readonly
---> 40 pd.core.computation.expressions.set_use_numexpr(False)
41 else:
42 from pandas.util.decorators import cache_readonly
AttributeError: module 'pandas.core.computation' has no attribute 'expressions'
- Tensorflow version - '1.4.0'
- Python version - 3.6.3:: Anaconda, Inc.
