In [4]:
import tensorflow as tf
# Remove the previous weights and bias
tf.reset_default_graph()
save_file = 'trained_model.ckpt'
# Two Tensor Variables: weights and bias
weights = tf.Variable(tf.truncated_normal([2, 3]))
bias = tf.Variable(tf.truncated_normal([3]))
another = tf.Variable(tf.truncated_normal([3]))
saver = tf.train.Saver()
# Print the name of Weights and Bias
print('Save Weights: {}'.format(weights.name))
print('Save Bias: {}'.format(bias.name))
print('Save Another: {}'.format(another.name))
with tf.Session() as sess:
sess.run(tf.global_variables_initializer())
saver.save(sess, save_file)
# Remove the previous weights and bias
tf.reset_default_graph()
# Two Variables: weights and bias
weights = tf.Variable(tf.truncated_normal([2, 3]))
bias = tf.Variable(tf.truncated_normal([3]))
saver = tf.train.Saver()
# Print the name of Weights and Bias
print('Load Weights: {}'.format(weights.name))
print('Load Bias: {}'.format(bias.name))
with tf.Session() as sess:
# Load the weights and bias - ERROR
saver.restore(sess, save_file)
Save Weights: Variable:0
Save Bias: Variable_1:0
Save Another: Variable_2:0
Load Weights: Variable:0
Load Bias: Variable_1:0
----------------------------------------------
NotFoundErrorTraceback (most recent call last)
/Users/kulbear/anaconda/envs/tflearn/lib/python3.5/site-packages/tensorflow/python/client/session.py in _do_call(self, fn, *args)
1021 try:
-> 1022 return fn(*args)
1023 except errors.OpError as e:
/Users/kulbear/anaconda/envs/tflearn/lib/python3.5/site-packages/tensorflow/python/client/session.py in _run_fn(session, feed_dict, fetch_list, target_list, options, run_metadata)
1003 feed_dict, fetch_list, target_list,
-> 1004 status, run_metadata)
1005
/Users/kulbear/anaconda/envs/tflearn/lib/python3.5/contextlib.py in __exit__(self, type, value, traceback)
65 try:
---> 66 next(self.gen)
67 except StopIteration:
/Users/kulbear/anaconda/envs/tflearn/lib/python3.5/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: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for trained_model.ckpt
[[Node: save/RestoreV2_1 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_1/tensor_names, save/RestoreV2_1/shape_and_slices)]]
During handling of the above exception, another exception occurred:
NotFoundErrorTraceback (most recent call last)
<ipython-input-4-67aa21bf49fb> in <module>()
37 with tf.Session() as sess:
38 # Load the weights and bias - ERROR
---> 39 saver.restore(sess, save_file)
/Users/kulbear/anaconda/envs/tflearn/lib/python3.5/site-packages/tensorflow/python/training/saver.py in restore(self, sess, save_path)
1437 return
1438 sess.run(self.saver_def.restore_op_name,
-> 1439 {self.saver_def.filename_tensor_name: save_path})
1440
1441 @staticmethod
/Users/kulbear/anaconda/envs/tflearn/lib/python3.5/site-packages/tensorflow/python/client/session.py in run(self, fetches, feed_dict, options, run_metadata)
765 try:
766 result = self._run(None, fetches, feed_dict, options_ptr,
--> 767 run_metadata_ptr)
768 if run_metadata:
769 proto_data = tf_session.TF_GetBuffer(run_metadata_ptr)
/Users/kulbear/anaconda/envs/tflearn/lib/python3.5/site-packages/tensorflow/python/client/session.py in _run(self, handle, fetches, feed_dict, options, run_metadata)
963 if final_fetches or final_targets:
964 results = self._do_run(handle, final_targets, final_fetches,
--> 965 feed_dict_string, options, run_metadata)
966 else:
967 results = []
/Users/kulbear/anaconda/envs/tflearn/lib/python3.5/site-packages/tensorflow/python/client/session.py in _do_run(self, handle, target_list, fetch_list, feed_dict, options, run_metadata)
1013 if handle is None:
1014 return self._do_call(_run_fn, self._session, feed_dict, fetch_list,
-> 1015 target_list, options, run_metadata)
1016 else:
1017 return self._do_call(_prun_fn, self._session, handle, feed_dict,
/Users/kulbear/anaconda/envs/tflearn/lib/python3.5/site-packages/tensorflow/python/client/session.py in _do_call(self, fn, *args)
1033 except KeyError:
1034 pass
-> 1035 raise type(e)(node_def, op, message)
1036
1037 def _extend_graph(self):
NotFoundError: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for trained_model.ckpt
[[Node: save/RestoreV2_1 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_1/tensor_names, save/RestoreV2_1/shape_and_slices)]]
Caused by op 'save/RestoreV2_1', defined at:
File "/Users/kulbear/anaconda/envs/tflearn/lib/python3.5/runpy.py", line 184, in _run_module_as_main
"__main__", mod_spec)
File "/Users/kulbear/anaconda/envs/tflearn/lib/python3.5/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/Users/kulbear/anaconda/envs/tflearn/lib/python3.5/site-packages/ipykernel/__main__.py", line 3, in <module>
app.launch_new_instance()
File "/Users/kulbear/anaconda/envs/tflearn/lib/python3.5/site-packages/traitlets/config/application.py", line 658, in launch_instance
app.start()
File "/Users/kulbear/anaconda/envs/tflearn/lib/python3.5/site-packages/ipykernel/kernelapp.py", line 474, in start
ioloop.IOLoop.instance().start()
File "/Users/kulbear/anaconda/envs/tflearn/lib/python3.5/site-packages/zmq/eventloop/ioloop.py", line 177, in start
super(ZMQIOLoop, self).start()
File "/Users/kulbear/anaconda/envs/tflearn/lib/python3.5/site-packages/tornado/ioloop.py", line 887, in start
handler_func(fd_obj, events)
File "/Users/kulbear/anaconda/envs/tflearn/lib/python3.5/site-packages/tornado/stack_context.py", line 275, in null_wrapper
return fn(*args, **kwargs)
File "/Users/kulbear/anaconda/envs/tflearn/lib/python3.5/site-packages/zmq/eventloop/zmqstream.py", line 440, in _handle_events
self._handle_recv()
File "/Users/kulbear/anaconda/envs/tflearn/lib/python3.5/site-packages/zmq/eventloop/zmqstream.py", line 472, in _handle_recv
self._run_callback(callback, msg)
File "/Users/kulbear/anaconda/envs/tflearn/lib/python3.5/site-packages/zmq/eventloop/zmqstream.py", line 414, in _run_callback
callback(*args, **kwargs)
File "/Users/kulbear/anaconda/envs/tflearn/lib/python3.5/site-packages/tornado/stack_context.py", line 275, in null_wrapper
return fn(*args, **kwargs)
File "/Users/kulbear/anaconda/envs/tflearn/lib/python3.5/site-packages/ipykernel/kernelbase.py", line 276, in dispatcher
return self.dispatch_shell(stream, msg)
File "/Users/kulbear/anaconda/envs/tflearn/lib/python3.5/site-packages/ipykernel/kernelbase.py", line 228, in dispatch_shell
handler(stream, idents, msg)
File "/Users/kulbear/anaconda/envs/tflearn/lib/python3.5/site-packages/ipykernel/kernelbase.py", line 390, in execute_request
user_expressions, allow_stdin)
File "/Users/kulbear/anaconda/envs/tflearn/lib/python3.5/site-packages/ipykernel/ipkernel.py", line 196, in do_execute
res = shell.run_cell(code, store_history=store_history, silent=silent)
File "/Users/kulbear/anaconda/envs/tflearn/lib/python3.5/site-packages/ipykernel/zmqshell.py", line 501, in run_cell
return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)
File "/Users/kulbear/anaconda/envs/tflearn/lib/python3.5/site-packages/IPython/core/interactiveshell.py", line 2717, in run_cell
interactivity=interactivity, compiler=compiler, result=result)
File "/Users/kulbear/anaconda/envs/tflearn/lib/python3.5/site-packages/IPython/core/interactiveshell.py", line 2821, in run_ast_nodes
if self.run_code(code, result):
File "/Users/kulbear/anaconda/envs/tflearn/lib/python3.5/site-packages/IPython/core/interactiveshell.py", line 2881, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "<ipython-input-4-67aa21bf49fb>", line 31, in <module>
saver = tf.train.Saver()
File "/Users/kulbear/anaconda/envs/tflearn/lib/python3.5/site-packages/tensorflow/python/training/saver.py", line 1051, in __init__
self.build()
File "/Users/kulbear/anaconda/envs/tflearn/lib/python3.5/site-packages/tensorflow/python/training/saver.py", line 1081, in build
restore_sequentially=self._restore_sequentially)
File "/Users/kulbear/anaconda/envs/tflearn/lib/python3.5/site-packages/tensorflow/python/training/saver.py", line 675, in build
restore_sequentially, reshape)
File "/Users/kulbear/anaconda/envs/tflearn/lib/python3.5/site-packages/tensorflow/python/training/saver.py", line 402, in _AddRestoreOps
tensors = self.restore_op(filename_tensor, saveable, preferred_shard)
File "/Users/kulbear/anaconda/envs/tflearn/lib/python3.5/site-packages/tensorflow/python/training/saver.py", line 242, in restore_op
[spec.tensor.dtype])[0])
File "/Users/kulbear/anaconda/envs/tflearn/lib/python3.5/site-packages/tensorflow/python/ops/gen_io_ops.py", line 668, in restore_v2
dtypes=dtypes, name=name)
File "/Users/kulbear/anaconda/envs/tflearn/lib/python3.5/site-packages/tensorflow/python/framework/op_def_library.py", line 763, in apply_op
op_def=op_def)
File "/Users/kulbear/anaconda/envs/tflearn/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 2395, in create_op
original_op=self._default_original_op, op_def=op_def)
File "/Users/kulbear/anaconda/envs/tflearn/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 1264, in __init__
self._traceback = _extract_stack()
NotFoundError (see above for traceback): Unsuccessful TensorSliceReader constructor: Failed to find any matching files for trained_model.ckpt
[[Node: save/RestoreV2_1 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save/Const_0, save/RestoreV2_1/tensor_names, save/RestoreV2_1/shape_and_slices)]]
In [ ]:
Content source: Kulbear/deep-learning-nano-foundation
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