FailedPreconditionError while restoring model in tensorflow - python-3.x

Question

After training a model successfully, I am unable to restore it. This method used to work earlier but somehow it is giving an error 'FailedPreconditionError'. Tensorflow should have stored all the variables while saving so I not sure about the reason for the error.
I have saved the model during training and tried to restore later using save and restore options.
validation_accuracy_track = []
train_accuracy_track = []
connection_probability_track = []
number_of_ex = X_train.shape[0]
total_steps_for_one_pass = number_of_ex//BATCH_SIZE + 1
print_every = 10
with tf.Session() as sess:
sess.run(tf.global_variables_initializer())
num_examples = len(X_train)
best_accuracy_valid = 0
print("Training...")
print()
for i in range(EPOCHS):
X_train, y_train = shuffle(X_train, y_train)
for step in range(0, total_steps_for_one_pass):
if step>=number_of_ex//BATCH_SIZE:
batch_x, batch_y = X_train[step*BATCH_SIZE:,:],y_train[step*BATCH_SIZE:]
step = 0
else:
start = step*BATCH_SIZE
finish = (step+1)*BATCH_SIZE
batch_x, batch_y = X_train[step:finish,:],y_train[step:finish]
tr_op = sess.run([training_operation], feed_dict={x: batch_x, y: batch_y, is_testing : False})
prob = sess.run(new_prob)
if i%print_every == 0:
tr_accuracy = sess.run(accuracy*100, feed_dict={x: X_train,y:y_train, is_testing: True}) # evaluate(X_train, y_train)
print("Train Accuracy = {:.5f}".format(tr_accuracy))
validation_accuracy = sess.run(accuracy*100, feed_dict={x: validation_data,y:validation_label_one_hot, is_testing: True}) #evaluate(X_validation, y_validation)
validation_accuracy_track.append(validation_accuracy)
train_accuracy_track.append(tr_accuracy)
connection_probability_track.append(prob)
print("EPOCH {} ...".format(i+1))
print("Validation Accuracy = {:.5f}".format(validation_accuracy))
print(prob)
print()
if (validation_accuracy >= best_accuracy_valid):
best_accuracy_valid = validation_accuracy
saver.save(sess, './PendigitSGDBased')
saver.save(sess, './lenet')
print("Model saved")
This is the output while training
Training...
Train Accuracy = 99.94996
EPOCH 1 ...
Validation Accuracy = 99.26617
0.83325
Train Accuracy = 99.93328
EPOCH 11 ...
Validation Accuracy = 99.13275
0.1345745
Train Accuracy = 99.94996
EPOCH 21 ...
Validation Accuracy = 99.53302
0.021734525
Train Accuracy = 99.96664
EPOCH 31 ...
Validation Accuracy = 99.59973
0.0035102463
Train Accuracy = 99.96664
EPOCH 41 ...
Validation Accuracy = 99.59973
0.0005669242
Model saved
when restoring I get this
with tf.Session() as sess:
saver.restore(sess, './lenet')
sess.run(accuracy*100, feed_dict={x: validation_data,y:validation_label_one_hot, is_testing: True})
This is the error
INFO:tensorflow:Restoring parameters from ./lenet
---------------------------------------------------------------------------
FailedPreconditionError Traceback (most recent call last)
/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py in _do_call(self, fn, *args)
1333 try:
-> 1334 return fn(*args)
1335 except errors.OpError as e:
6 frames
/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py in _run_fn(feed_dict, fetch_list, target_list, options, run_metadata)
1318 return self._call_tf_sessionrun(
-> 1319 options, feed_dict, fetch_list, target_list, run_metadata)
1320
/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py in _call_tf_sessionrun(self, options, feed_dict, fetch_list, target_list, run_metadata)
1406 self._session, options, feed_dict, fetch_list, target_list,
-> 1407 run_metadata)
1408
FailedPreconditionError: Attempting to use uninitialized value Variable_14
[[{{node Variable_14/read}}]]
[[{{node mul_26}}]]
During handling of the above exception, another exception occurred:
FailedPreconditionError Traceback (most recent call last)
<ipython-input-34-3e0c62c51f1c> in <module>()
1 with tf.Session() as sess:
2 saver.restore(sess, './lenet')
----> 3 sess.run(accuracy*100, feed_dict={x: validation_data,y:validation_label_one_hot, is_testing: True})
/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py in run(self, fetches, feed_dict, options, run_metadata)
927 try:
928 result = self._run(None, fetches, feed_dict, options_ptr,
--> 929 run_metadata_ptr)
930 if run_metadata:
931 proto_data = tf_session.TF_GetBuffer(run_metadata_ptr)
/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py in _run(self, handle, fetches, feed_dict, options, run_metadata)
1150 if final_fetches or final_targets or (handle and feed_dict_tensor):
1151 results = self._do_run(handle, final_targets, final_fetches,
-> 1152 feed_dict_tensor, options, run_metadata)
1153 else:
1154 results = []
/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py in _do_run(self, handle, target_list, fetch_list, feed_dict, options, run_metadata)
1326 if handle is None:
1327 return self._do_call(_run_fn, feeds, fetches, targets, options,
-> 1328 run_metadata)
1329 else:
1330 return self._do_call(_prun_fn, handle, feeds, fetches)
/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py in _do_call(self, fn, *args)
1346 pass
1347 message = error_interpolation.interpolate(message, self._graph)
-> 1348 raise type(e)(node_def, op, message)
1349
1350 def _extend_graph(self):
FailedPreconditionError: Attempting to use uninitialized value Variable_14
[[node Variable_14/read (defined at <ipython-input-12-95a60851d74f>:1) ]]
[[node mul_26 (defined at <ipython-input-34-3e0c62c51f1c>:3) ]]
Caused by op 'Variable_14/read', defined at:
File "/usr/lib/python3.6/runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "/usr/lib/python3.6/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py", line 16, in <module>
app.launch_new_instance()
File "/usr/local/lib/python3.6/dist-packages/traitlets/config/application.py", line 658, in launch_instance
app.start()
File "/usr/local/lib/python3.6/dist-packages/ipykernel/kernelapp.py", line 477, in start
ioloop.IOLoop.instance().start()
File "/usr/local/lib/python3.6/dist-packages/tornado/ioloop.py", line 888, in start
handler_func(fd_obj, events)
File "/usr/local/lib/python3.6/dist-packages/tornado/stack_context.py", line 277, in null_wrapper
return fn(*args, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/zmq/eventloop/zmqstream.py", line 450, in _handle_events
self._handle_recv()
File "/usr/local/lib/python3.6/dist-packages/zmq/eventloop/zmqstream.py", line 480, in _handle_recv
self._run_callback(callback, msg)
File "/usr/local/lib/python3.6/dist-packages/zmq/eventloop/zmqstream.py", line 432, in _run_callback
callback(*args, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/tornado/stack_context.py", line 277, in null_wrapper
return fn(*args, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/ipykernel/kernelbase.py", line 283, in dispatcher
return self.dispatch_shell(stream, msg)
File "/usr/local/lib/python3.6/dist-packages/ipykernel/kernelbase.py", line 235, in dispatch_shell
handler(stream, idents, msg)
File "/usr/local/lib/python3.6/dist-packages/ipykernel/kernelbase.py", line 399, in execute_request
user_expressions, allow_stdin)
File "/usr/local/lib/python3.6/dist-packages/ipykernel/ipkernel.py", line 196, in do_execute
res = shell.run_cell(code, store_history=store_history, silent=silent)
File "/usr/local/lib/python3.6/dist-packages/ipykernel/zmqshell.py", line 533, in run_cell
return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/IPython/core/interactiveshell.py", line 2718, in run_cell
interactivity=interactivity, compiler=compiler, result=result)
File "/usr/local/lib/python3.6/dist-packages/IPython/core/interactiveshell.py", line 2822, in run_ast_nodes
if self.run_code(code, result):
File "/usr/local/lib/python3.6/dist-packages/IPython/core/interactiveshell.py", line 2882, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "<ipython-input-12-95a60851d74f>", line 1, in <module>
connection_probability = tf.Variable(.9999)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/variables.py", line 213, in __call__
return cls._variable_v1_call(*args, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/variables.py", line 176, in _variable_v1_call
aggregation=aggregation)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/variables.py", line 155, in <lambda>
previous_getter = lambda **kwargs: default_variable_creator(None, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/variable_scope.py", line 2495, in default_variable_creator
expected_shape=expected_shape, import_scope=import_scope)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/variables.py", line 217, in __call__
return super(VariableMetaclass, cls).__call__(*args, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/variables.py", line 1395, in __init__
constraint=constraint)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/variables.py", line 1557, in _init_from_args
self._snapshot = array_ops.identity(self._variable, name="read")
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/util/dispatch.py", line 180, in wrapper
return target(*args, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/array_ops.py", line 81, in identity
ret = gen_array_ops.identity(input, name=name)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/gen_array_ops.py", line 3890, in identity
"Identity", input=input, name=name)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/op_def_library.py", line 788, in _apply_op_helper
op_def=op_def)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/util/deprecation.py", line 507, in new_func
return func(*args, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/ops.py", line 3300, in create_op
op_def=op_def)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/ops.py", line 1801, in __init__
self._traceback = tf_stack.extract_stack()
FailedPreconditionError (see above for traceback): Attempting to use uninitialized value Variable_14
[[node Variable_14/read (defined at <ipython-input-12-95a60851d74f>:1) ]]
[[node mul_26 (defined at <ipython-input-34-3e0c62c51f1c>:3) ]]
What is the possible reason for this - why is there a change in behavior for train and test? Any help would be appreciated.