jpub / tensorflowdeeplearning Goto Github PK
View Code? Open in Web Editor NEW< 텐서플로로 시작하는 딥러닝> 리포지토리
< 텐서플로로 시작하는 딥러닝> 리포지토리
MDR06 실행시키다가 다음과 같은 오류가 발생했는데 왜 때문인가요?
INFO:tensorflow:Restoring parameters from mdc_session-4000
NotFoundError Traceback (most recent call last)
c:\users\seul\anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\client\session.py in _do_call(self, fn, *args)
1138 try:
-> 1139 return fn(*args)
1140 except errors.OpError as e:
c:\users\seul\anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\client\session.py in _run_fn(session, feed_dict, fetch_list, target_list, options, run_metadata)
1120 feed_dict, fetch_list, target_list,
-> 1121 status, run_metadata)
1122
c:\users\seul\anaconda3\envs\tensorflow\lib\contextlib.py in exit(self, type, value, traceback)
65 try:
---> 66 next(self.gen)
67 except StopIteration:
c:\users\seul\anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\framework\errors_impl.py in raise_exception_on_not_ok_status()
465 compat.as_text(pywrap_tensorflow.TF_Message(status)),
--> 466 pywrap_tensorflow.TF_GetCode(status))
467 finally:
NotFoundError: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for mdc_session-4000
[[Node: save/RestoreV2 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_arg_save/Const_0_0, save/RestoreV2/tensor_names, save/RestoreV2/shape_and_slices)]]
[[Node: save/RestoreV2_5/_13 = _Recvclient_terminated=false, recv_device="/job:localhost/replica:0/task:0/gpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=1, tensor_name="edge_50_save/RestoreV2_5", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"]]
During handling of the above exception, another exception occurred:
NotFoundError Traceback (most recent call last)
in ()
2 sess.run(tf.global_variables_initializer())
3 saver = tf.train.Saver()
----> 4 saver.restore(sess, 'mdc_session-4000')
c:\users\seul\anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\training\saver.py in restore(self, sess, save_path)
1546 logging.info("Restoring parameters from %s", save_path)
1547 sess.run(self.saver_def.restore_op_name,
-> 1548 {self.saver_def.filename_tensor_name: save_path})
1549
1550 @staticmethod
c:\users\seul\anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\client\session.py in run(self, fetches, feed_dict, options, run_metadata)
787 try:
788 result = self._run(None, fetches, feed_dict, options_ptr,
--> 789 run_metadata_ptr)
790 if run_metadata:
791 proto_data = tf_session.TF_GetBuffer(run_metadata_ptr)
c:\users\seul\anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\client\session.py in _run(self, handle, fetches, feed_dict, options, run_metadata)
995 if final_fetches or final_targets:
996 results = self._do_run(handle, final_targets, final_fetches,
--> 997 feed_dict_string, options, run_metadata)
998 else:
999 results = []
c:\users\seul\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)
1130 if handle is None:
1131 return self._do_call(_run_fn, self._session, feed_dict, fetch_list,
-> 1132 target_list, options, run_metadata)
1133 else:
1134 return self._do_call(_prun_fn, self._session, handle, feed_dict,
c:\users\seul\anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\client\session.py in _do_call(self, fn, *args)
1150 except KeyError:
1151 pass
-> 1152 raise type(e)(node_def, op, message)
1153
1154 def _extend_graph(self):
NotFoundError: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for mdc_session-4000
[[Node: save/RestoreV2 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_arg_save/Const_0_0, save/RestoreV2/tensor_names, save/RestoreV2/shape_and_slices)]]
[[Node: save/RestoreV2_5/_13 = _Recvclient_terminated=false, recv_device="/job:localhost/replica:0/task:0/gpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=1, tensor_name="edge_50_save/RestoreV2_5", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"]]
Caused by op 'save/RestoreV2', defined at:
File "c:\users\seul\anaconda3\envs\tensorflow\lib\runpy.py", line 193, in _run_module_as_main
"main", mod_spec)
File "c:\users\seul\anaconda3\envs\tensorflow\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
File "c:\users\seul\anaconda3\envs\tensorflow\lib\site-packages\ipykernel_launcher.py", line 16, in
app.launch_new_instance()
File "c:\users\seul\anaconda3\envs\tensorflow\lib\site-packages\traitlets\config\application.py", line 658, in launch_instance
app.start()
File "c:\users\seul\anaconda3\envs\tensorflow\lib\site-packages\ipykernel\kernelapp.py", line 477, in start
ioloop.IOLoop.instance().start()
File "c:\users\seul\anaconda3\envs\tensorflow\lib\site-packages\zmq\eventloop\ioloop.py", line 177, in start
super(ZMQIOLoop, self).start()
File "c:\users\seul\anaconda3\envs\tensorflow\lib\site-packages\tornado\ioloop.py", line 888, in start
handler_func(fd_obj, events)
File "c:\users\seul\anaconda3\envs\tensorflow\lib\site-packages\tornado\stack_context.py", line 277, in null_wrapper
return fn(*args, **kwargs)
File "c:\users\seul\anaconda3\envs\tensorflow\lib\site-packages\zmq\eventloop\zmqstream.py", line 440, in _handle_events
self._handle_recv()
File "c:\users\seul\anaconda3\envs\tensorflow\lib\site-packages\zmq\eventloop\zmqstream.py", line 472, in _handle_recv
self._run_callback(callback, msg)
File "c:\users\seul\anaconda3\envs\tensorflow\lib\site-packages\zmq\eventloop\zmqstream.py", line 414, in _run_callback
callback(*args, **kwargs)
File "c:\users\seul\anaconda3\envs\tensorflow\lib\site-packages\tornado\stack_context.py", line 277, in null_wrapper
return fn(*args, **kwargs)
File "c:\users\seul\anaconda3\envs\tensorflow\lib\site-packages\ipykernel\kernelbase.py", line 283, in dispatcher
return self.dispatch_shell(stream, msg)
File "c:\users\seul\anaconda3\envs\tensorflow\lib\site-packages\ipykernel\kernelbase.py", line 235, in dispatch_shell
handler(stream, idents, msg)
File "c:\users\seul\anaconda3\envs\tensorflow\lib\site-packages\ipykernel\kernelbase.py", line 399, in execute_request
user_expressions, allow_stdin)
File "c:\users\seul\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:\users\seul\anaconda3\envs\tensorflow\lib\site-packages\ipykernel\zmqshell.py", line 533, in run_cell
return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)
File "c:\users\seul\anaconda3\envs\tensorflow\lib\site-packages\IPython\core\interactiveshell.py", line 2728, in run_cell
interactivity=interactivity, compiler=compiler, result=result)
File "c:\users\seul\anaconda3\envs\tensorflow\lib\site-packages\IPython\core\interactiveshell.py", line 2850, in run_ast_nodes
if self.run_code(code, result):
File "c:\users\seul\anaconda3\envs\tensorflow\lib\site-packages\IPython\core\interactiveshell.py", line 2910, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "", line 3, in
saver = tf.train.Saver()
File "c:\users\seul\anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\training\saver.py", line 1139, in init
self.build()
File "c:\users\seul\anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\training\saver.py", line 1170, in build
restore_sequentially=self._restore_sequentially)
File "c:\users\seul\anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\training\saver.py", line 691, in build
restore_sequentially, reshape)
File "c:\users\seul\anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\training\saver.py", line 407, in _AddRestoreOps
tensors = self.restore_op(filename_tensor, saveable, preferred_shard)
File "c:\users\seul\anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\training\saver.py", line 247, in restore_op
[spec.tensor.dtype])[0])
File "c:\users\seul\anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\ops\gen_io_ops.py", line 640, in restore_v2
dtypes=dtypes, name=name)
File "c:\users\seul\anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 767, in apply_op
op_def=op_def)
File "c:\users\seul\anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\framework\ops.py", line 2506, in create_op
original_op=self._default_original_op, op_def=op_def)
File "c:\users\seul\anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\framework\ops.py", line 1269, in init
self._traceback = _extract_stack()
NotFoundError (see above for traceback): Unsuccessful TensorSliceReader constructor: Failed to find any matching files for mdc_session-4000
[[Node: save/RestoreV2 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_arg_save/Const_0_0, save/RestoreV2/tensor_names, save/RestoreV2/shape_and_slices)]]
[[Node: save/RestoreV2_5/_13 = _Recvclient_terminated=false, recv_device="/job:localhost/replica:0/task:0/gpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=1, tensor_name="edge_50_save/RestoreV2_5", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"]]
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.