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Ich trainiere ein CNN mit Worteinbettungen und aus irgendeinem Grund bekomme ich FailedPreconditionError Ausnahme, wenn ich versuche, eine eingefrorene Version des Modells für die spätere Verwendung zu speichern.Tensorflow FailedPreconditionError beim Versuch, gefrorenes Modell zu speichern
Dies ist trotz der Tatsache, dass ich sess.run(tf.global_variables_initializer()) kurz vor dem Training und ich habe kein Problem, Training und Checkpointing des Modells.
Das Problem tritt auf, wenn ich versuche, ein Modell von einem Prüfpunkt zu laden und ein eingefrorenes Modell zu speichern. Die Funktion Ich verwende ist wie folgt:
def freeze_model(checkpoint_path, model_save_path, output_node_names):
checkpoint = tf.train.get_checkpoint_state(checkpoint_path)
input_checkpoint = checkpoint.model_checkpoint_path
saver = tf.train.import_meta_graph(input_checkpoint + '.meta', clear_devices=True)
graph = tf.get_default_graph()
input_graph_def = graph.as_graph_def()
with tf.Session() as sess:
saver.restore(sess, input_checkpoint)
output_graph_def = graph_util.convert_variables_to_constants(
sess,
input_graph_def,
output_node_names
)
with tf.gfile.GFile(model_save_path, "wb") as f:
f.write(output_graph_def.SerializeToString())
Der Fehler, den ich bekommen ist:
Traceback (most recent call last):
File "myproject/train.py", line 522, in <module>
tf.app.run()
File "/home/foo/anaconda2/lib/python2.7/site-packages/tensorflow/python/platform/app.py", line 44, in run
_sys.exit(main(_sys.argv[:1] + flags_passthrough))
File "myproject/train.py", line 518, in main
trainer.save_model(preprocessor)
File "myproject/train.py", line 312, in save_model
ut.freeze_model(self.checkpoint_dir, model_save_path, C.OUTPUT_NODE_NAMES)
File "/home/foo/anaconda2/lib/python2.7/site-packages/myproject/utils.py", line 224, in freeze_model
output_node_names
File "/home/foo/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/graph_util_impl.py", line 218, in convert_variables_to_constants
returned_variables = sess.run(variable_names)
File "/home/foo/anaconda2/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 767, in run
run_metadata_ptr)
File "/home/foo/anaconda2/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 965, in _run
feed_dict_string, options, run_metadata)
File "/home/foo/anaconda2/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1015, in _do_run
target_list, options, run_metadata)
File "/home/foo/anaconda2/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1035, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.FailedPreconditionError: Attempting to use uninitialized value embeddings/W
[[Node: embeddings/W/_20 = _Send[T=DT_FLOAT, client_terminated=false, recv_device="/job:localhost/replica:0/task:0/cpu:0", send_device="/job:localhost/replica:0/task:0/gpu:0", send_device_incarnation=1, tensor_name="edge_30_embeddings/W", _device="/job:localhost/replica:0/task:0/gpu:0"](embeddings/W)]]
[[Node: conv_maxpool_4/W/_17 = _Recv[_start_time=0, client_terminated=false, recv_device="/job:localhost/replica:0/task:0/cpu:0", send_device="/job:localhost/replica:0/task:0/gpu:0", send_device_incarnation=1, tensor_name="edge_26_conv_maxpool_4/W", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/cpu:0"]()]]