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Ich versuche, Modell zu speichern und in andere Datei mit Tensorflow wiederherzustellen. Ich benutze diesen Code zum Trainieren und Speichern des Modells.NotFoundError bei Wiederherstellung Tensorflow-Modell
import input_data
import os
import tensorflow as tf
mnist = input_data.read_data_sets('MNIST_data', one_hot=True)
x = tf.placeholder("float", shape=[None, 784])
W = tf.Variable(tf.zeros([784,10]))
b = tf.Variable(tf.zeros([10]))
y = tf.nn.softmax(tf.matmul(x,W) + b)
y_ = tf.placeholder("float", shape=[None, 10])
cross_entropy = -tf.reduce_sum(y_*tf.log(y))
train_step = tf.train.GradientDescentOptimizer(0.01).minimize(cross_entropy)
saver = tf.train.Saver()
# train data and get results for batches
init = tf.global_variables_initializer()
sess = tf.Session()
sess.run(init)
# train the data
for i in range(10):
batch_xs, batch_ys = mnist.train.next_batch(100)
sess.run(train_step, feed_dict={x: batch_xs, y_: batch_ys})
print(batch_xs)
correct_prediction = tf.equal(tf.argmax(y,1), tf.argmax(y_,1))
accuracy = tf.reduce_mean(tf.cast(correct_prediction, "float"))
print ("accuracy", sess.run(accuracy, feed_dict={x: mnist.test.images, y_: mnist.test.labels}))
prediction=tf.argmax(y,1)
arr=prediction.eval(feed_dict={x: mnist.test.images}, session=sess)
#print ("predictions",)
#for i in range(len(arr)):
#print(arr[i])
save_path = saver.save(sess, '/model.ckpt')
print ('Model saved in file: ', save_path)
und versuchen Sie, mit diesem Code wiederherzustellen.
import input_data
import os
import tensorflow as tf
#mnist = input_data.read_data_sets('MNIST_data', one_hot=True)
x = tf.placeholder("float", shape=[None, 784])
W = tf.Variable(tf.zeros([784,10]))
b = tf.Variable(tf.zeros([10]))
y = tf.nn.softmax(tf.matmul(x,W) + b)
y_ = tf.placeholder("float", shape=[None, 10])
cross_entropy = -tf.reduce_sum(y_*tf.log(y))
train_step = tf.train.GradientDescentOptimizer(0.01).minimize(cross_entropy)
init_op = tf.global_variables_initializer()
saver = tf.train.Saver()
tf.train.NewCheckpointReader("./model.ckpt")
with tf.Session() as sess:
sess.run(init_op)
#print("sess.run")
saver.restore(sess, "./model.ckpt")
print ("Model restored.")
In saver.restore(sess, "./model.ckpt") Linie habe ich eine NotFoundError. Der Fehler sieht so aus:
---------------------------------------------------------------------------
NotFoundError Traceback (most recent call last)
C:\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\client\session.py in _do_call(self, fn, *args)
1020 try:
-> 1021 return fn(*args)
1022 except errors.OpError as e:
C:\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\client\session.py in _run_fn(session, feed_dict, fetch_list, target_list, options, run_metadata)
1002 feed_dict, fetch_list, target_list,
-> 1003 status, run_metadata)
1004
C:\Anaconda3\envs\tensorflow\lib\contextlib.py in __exit__(self, type, value, traceback)
65 try:
---> 66 next(self.gen)
67 except StopIteration:
C:\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\framework\errors_impl.py in raise_exception_on_not_ok_status()
468 compat.as_text(pywrap_tensorflow.TF_Message(status)),
--> 469 pywrap_tensorflow.TF_GetCode(status))
470 finally:
NotFoundError: Key y_3 not found in checkpoint
[[Node: save_16/RestoreV2_47 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save_16/Const_0, save_16/RestoreV2_47/tensor_names, save_16/RestoreV2_47/shape_and_slices)]]
During handling of the above exception, another exception occurred:
NotFoundError Traceback (most recent call last)
<ipython-input-42-17503962c118> in <module>()
17 sess.run(init_op)
18 #print("sess.run")
---> 19 saver.restore(sess, "./model.ckpt")
20 print ("Model restored.")
C:\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\training\saver.py in restore(self, sess, save_path)
1386 return
1387 sess.run(self.saver_def.restore_op_name,
-> 1388 {self.saver_def.filename_tensor_name: save_path})
1389
1390 @staticmethod
C:\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\client\session.py in run(self, fetches, feed_dict, options, run_metadata)
764 try:
765 result = self._run(None, fetches, feed_dict, options_ptr,
--> 766 run_metadata_ptr)
767 if run_metadata:
768 proto_data = tf_session.TF_GetBuffer(run_metadata_ptr)
C:\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\client\session.py in _run(self, handle, fetches, feed_dict, options, run_metadata)
962 if final_fetches or final_targets:
963 results = self._do_run(handle, final_targets, final_fetches,
--> 964 feed_dict_string, options, run_metadata)
965 else:
966 results = []
C:\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\client\session.py in _do_run(self, handle, target_list, fetch_list, feed_dict, options, run_metadata)
1012 if handle is None:
1013 return self._do_call(_run_fn, self._session, feed_dict, fetch_list,
-> 1014 target_list, options, run_metadata)
1015 else:
1016 return self._do_call(_prun_fn, self._session, handle, feed_dict,
C:\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\client\session.py in _do_call(self, fn, *args)
1032 except KeyError:
1033 pass
-> 1034 raise type(e)(node_def, op, message)
1035
1036 def _extend_graph(self):
NotFoundError: Key y_3 not found in checkpoint
[[Node: save_16/RestoreV2_47 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save_16/Const_0, save_16/RestoreV2_47/tensor_names, save_16/RestoreV2_47/shape_and_slices)]]
Caused by op 'save_16/RestoreV2_47', defined at:
File "C:\Anaconda3\envs\tensorflow\lib\runpy.py", line 184, in _run_module_as_main
"__main__", mod_spec)
File "C:\Anaconda3\envs\tensorflow\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
File "C:\Anaconda3\envs\tensorflow\lib\site-packages\ipykernel\__main__.py", line 3, in <module>
app.launch_new_instance()
File "C:\Anaconda3\envs\tensorflow\lib\site-packages\traitlets\config\application.py", line 658, in launch_instance
app.start()
File "C:\Anaconda3\envs\tensorflow\lib\site-packages\ipykernel\kernelapp.py", line 474, in start
ioloop.IOLoop.instance().start()
File "C:\Anaconda3\envs\tensorflow\lib\site-packages\zmq\eventloop\ioloop.py", line 177, in start
super(ZMQIOLoop, self).start()
File "C:\Anaconda3\envs\tensorflow\lib\site-packages\tornado\ioloop.py", line 887, in start
handler_func(fd_obj, events)
File "C:\Anaconda3\envs\tensorflow\lib\site-packages\tornado\stack_context.py", line 275, in null_wrapper
return fn(*args, **kwargs)
File "C:\Anaconda3\envs\tensorflow\lib\site-packages\zmq\eventloop\zmqstream.py", line 440, in _handle_events
self._handle_recv()
File "C:\Anaconda3\envs\tensorflow\lib\site-packages\zmq\eventloop\zmqstream.py", line 472, in _handle_recv
self._run_callback(callback, msg)
File "C:\Anaconda3\envs\tensorflow\lib\site-packages\zmq\eventloop\zmqstream.py", line 414, in _run_callback
callback(*args, **kwargs)
File "C:\Anaconda3\envs\tensorflow\lib\site-packages\tornado\stack_context.py", line 275, in null_wrapper
return fn(*args, **kwargs)
File "C:\Anaconda3\envs\tensorflow\lib\site-packages\ipykernel\kernelbase.py", line 276, in dispatcher
return self.dispatch_shell(stream, msg)
File "C:\Anaconda3\envs\tensorflow\lib\site-packages\ipykernel\kernelbase.py", line 228, in dispatch_shell
handler(stream, idents, msg)
File "C:\Anaconda3\envs\tensorflow\lib\site-packages\ipykernel\kernelbase.py", line 390, in execute_request
user_expressions, allow_stdin)
File "C:\Anaconda3\envs\tensorflow\lib\site-packages\ipykernel\ipkernel.py", line 196, in do_execute
res = shell.run_cell(code, store_history=store_history, silent=silent)
File "C:\Anaconda3\envs\tensorflow\lib\site-packages\ipykernel\zmqshell.py", line 501, in run_cell
return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)
File "C:\Anaconda3\envs\tensorflow\lib\site-packages\IPython\core\interactiveshell.py", line 2717, in run_cell
interactivity=interactivity, compiler=compiler, result=result)
File "C:\Anaconda3\envs\tensorflow\lib\site-packages\IPython\core\interactiveshell.py", line 2821, in run_ast_nodes
if self.run_code(code, result):
File "C:\Anaconda3\envs\tensorflow\lib\site-packages\IPython\core\interactiveshell.py", line 2881, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "<ipython-input-42-17503962c118>", line 14, in <module>
saver = tf.train.Saver()
File "C:\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\training\saver.py", line 1000, in __init__
self.build()
File "C:\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\training\saver.py", line 1030, in build
restore_sequentially=self._restore_sequentially)
File "C:\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\training\saver.py", line 624, in build
restore_sequentially, reshape)
File "C:\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\training\saver.py", line 361, in _AddRestoreOps
tensors = self.restore_op(filename_tensor, saveable, preferred_shard)
File "C:\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\training\saver.py", line 200, in restore_op
[spec.tensor.dtype])[0])
File "C:\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\ops\gen_io_ops.py", line 441, in restore_v2
dtypes=dtypes, name=name)
File "C:\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 759, in apply_op
op_def=op_def)
File "C:\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\framework\ops.py", line 2240, in create_op
original_op=self._default_original_op, op_def=op_def)
File "C:\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\framework\ops.py", line 1128, in __init__
self._traceback = _extract_stack()
NotFoundError (see above for traceback): Key y_3 not found in checkpoint
[[Node: save_16/RestoreV2_47 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save_16/Const_0, save_16/RestoreV2_47/tensor_names, save_16/RestoreV2_47/shape_and_slices)]]
Was ist das eigentliche Problem hier?
Die Benennung von Variablen in TensorFlow ist nicht notwendig (ansonsten wird die Frage nicht beantwortet). –