Failedpreconditionerror (see above for traceback): attempting to use uninitialized value

Question

Failedpreconditionerror (see above for traceback): attempting to use uninitialized value

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Problem :

I am currently working on the TensorFlow that uses very "weird" format of uploading the data. I am trying to to use the NumPy or pandas format for the data to be uploaded, to compare it with scikit-learn results.Also I am getting the digit recognition data from the Kaggle.

But facing following error:

---------------------------------------------------------------------------

FailedPreconditionError                   Traceback (most recent call last)

<ipython-input-82-967faab7d494> in <module>()

      7     Target_batch = np.array(OHTarget[i*50:i*50+50].values)

      8     Target_batch = np.multiply(Target_batch, 1.0 / 255.0)

----> 9     train_step.run(feed_dict={x: batch, y_: Target_batch})

/Users/alecxe/anaconda/lib/python2.7/site-packages/tensorflow/python/framework/ops.pyc in run(self, feed_dict, session)

   2265   none, the default session will be used.

   2266     """

-> 2267  _run_using_default_session(self, feed_dict, self.graph, session)

/Users/alecxe/anaconda/lib/python2.7/site-packages/tensorflow/python/framework/ops.pyc in _run_using_default_session(operation, feed_dict, graph, session)

   3761   "the operation's graph is different from the session's "

   3762   "graph.")

-> 3763   session.run(operation, feed_dict)

/Users/alecxe/anaconda/lib/python2.7/site-packages/tensorflow/python/client/session.pyc in run(self, fetches, feed_dict)

    444     # Run request and get response.

--> 445     results = self._do_run(target_list, unique_fetch_targets, feed_dict_string)

    447     # User may have fetched the same tensor multiple times, but we

/Users/alecxe/anaconda/lib/python2.7/site-packages/tensorflow/python/client/session.pyc in _do_run(self, target_list, fetch_list, feed_dict)

    517      # pylint: disable=protected-access

    518      raise errors._make_specific_exception(node_def, op, e.error_message,

--> 519                                               e.code)

    520     # pylint: enable=protected-access

    521    raise e_type, e_value, e_traceback

FailedPreconditionError: Attempting to use uninitialized value Variable_1

     [[Node: gradients/add_grad/Shape_1 = Shape[T=DT_FLOAT, _device="/job:localhost/replica:0/task:0/cpu:0"](Variable_1)]]

asked Nov 30, 2019 alecxe

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AbhijitJ · Answer 1 · 2019-11-30T13:34:50+0000

Solution :

Please note the tf.initialize_all_variables() is currently deprecated. So please initialize the tensorflow variables with following code:

tf.global_variables_initializer()

Please find following the sample usage is:

with tf.Session() as sess:

sess.run(tf.global_variables_initializer())

It will surely solve your issue.

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Failedpreconditionerror (see above for traceback): attempting to use uninitialized value

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