Error when using old training data

[demetrii]

Hi all,

When I use model_file_prefix = model_dir to skip the training part (as I've already done this) I get the an error upon running the following code:

`from google.datalab.ml import ConfusionMatrix
from pprint import pprint

cm_data = run_eval(model_file_prefix, '/content/datalab/punctuation/datapreped/test.txt')
pprint(cm_data.tolist())
cm = ConfusionMatrix(cm_data, TARGETS)
cm.plot()`

Error:
INFO:tensorflow:Restoring parameters from /content/lab/datalab/punctuation/model/eval/model.ckpt
INFO:tensorflow:Starting standard services.
INFO:tensorflow:Saving checkpoint to path /content/lab/datalab/punctuation/model/eval/model.ckpt
INFO:tensorflow:Starting queue runners.
INFO:tensorflow:Recording summary at step None.
INFO:tensorflow:Restoring parameters from /content/lab/datalab/punctuation/model/
INFO:tensorflow:Error reported to Coordinator: <class 'tensorflow.python.framework.errors_impl.NotFoundError'>, Unsuccessful TensorSliceReader constructor: Failed to find any matching files for /content/lab/datalab/punctuation/model/
[[Node: save/RestoreV2_6 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/device:CPU:0"](_arg_save/Const_0_0, save/RestoreV2_6/tensor_names, save/RestoreV2_6/shape_and_slices)]]

Caused by op 'save/RestoreV2_6', defined at:
File "/usr/local/envs/py3env/lib/python3.5/runpy.py", line 193, in _run_module_as_main
"main", mod_spec)
File "/usr/local/envs/py3env/lib/python3.5/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/usr/local/envs/py3env/lib/python3.5/site-packages/ipykernel/main.py", line 3, in
app.launch_new_instance()
File "/usr/local/envs/py3env/lib/python3.5/site-packages/traitlets/config/application.py", line 658, in launch_instance
app.start()
File "/usr/local/envs/py3env/lib/python3.5/site-packages/ipykernel/kernelapp.py", line 474, in start
ioloop.IOLoop.instance().start()
File "/usr/local/envs/py3env/lib/python3.5/site-packages/zmq/eventloop/ioloop.py", line 177, in start
super(ZMQIOLoop, self).start()
File "/usr/local/envs/py3env/lib/python3.5/site-packages/tornado/ioloop.py", line 887, in start
handler_func(fd_obj, events)
File "/usr/local/envs/py3env/lib/python3.5/site-packages/tornado/stack_context.py", line 275, in null_wrapper
return fn(*args, **kwargs)
File "/usr/local/envs/py3env/lib/python3.5/site-packages/zmq/eventloop/zmqstream.py", line 440, in _handle_events
self._handle_recv()
File "/usr/local/envs/py3env/lib/python3.5/site-packages/zmq/eventloop/zmqstream.py", line 472, in _handle_recv
self._run_callback(callback, msg)
File "/usr/local/envs/py3env/lib/python3.5/site-packages/zmq/eventloop/zmqstream.py", line 414, in _run_callback
callback(*args, **kwargs)
File "/usr/local/envs/py3env/lib/python3.5/site-packages/tornado/stack_context.py", line 275, in null_wrapper
return fn(*args, **kwargs)
File "/usr/local/envs/py3env/lib/python3.5/site-packages/ipykernel/kernelbase.py", line 276, in dispatcher
return self.dispatch_shell(stream, msg)
File "/usr/local/envs/py3env/lib/python3.5/site-packages/ipykernel/kernelbase.py", line 228, in dispatch_shell
handler(stream, idents, msg)
File "/usr/local/envs/py3env/lib/python3.5/site-packages/ipykernel/kernelbase.py", line 390, in execute_request
user_expressions, allow_stdin)
File "/usr/local/envs/py3env/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 "/usr/local/envs/py3env/lib/python3.5/site-packages/ipykernel/zmqshell.py", line 501, in run_cell
return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)
File "/usr/local/envs/py3env/lib/python3.5/site-packages/IPython/core/interactiveshell.py", line 2728, in run_cell
interactivity=interactivity, compiler=compiler, result=result)
File "/usr/local/envs/py3env/lib/python3.5/site-packages/IPython/core/interactiveshell.py", line 2850, in run_ast_nodes
if self.run_code(code, result):
File "/usr/local/envs/py3env/lib/python3.5/site-packages/IPython/core/interactiveshell.py", line 2910, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "", line 4, in
cm_data = run_eval(model_file_prefix, '/content/lab/datalab/punctuation/datapreped/test.txt')
File "", line 25, in run_eval
sv = tf.train.Supervisor(logdir=logdir)
File "/usr/local/envs/py3env/lib/python3.5/site-packages/tensorflow/python/util/deprecation.py", line 136, in new_func
return func(*args, **kwargs)
File "/usr/local/envs/py3env/lib/python3.5/site-packages/tensorflow/python/training/supervisor.py", line 316, in init
self._init_saver(saver=saver)
File "/usr/local/envs/py3env/lib/python3.5/site-packages/tensorflow/python/training/supervisor.py", line 464, in _init_saver
saver = saver_mod.Saver()
File "/usr/local/envs/py3env/lib/python3.5/site-packages/tensorflow/python/training/saver.py", line 1239, in init
self.build()
File "/usr/local/envs/py3env/lib/python3.5/site-packages/tensorflow/python/training/saver.py", line 1248, in build
self._build(self._filename, build_save=True, build_restore=True)
File "/usr/local/envs/py3env/lib/python3.5/site-packages/tensorflow/python/training/saver.py", line 1284, in _build
build_save=build_save, build_restore=build_restore)
File "/usr/local/envs/py3env/lib/python3.5/site-packages/tensorflow/python/training/saver.py", line 765, in _build_internal
restore_sequentially, reshape)
File "/usr/local/envs/py3env/lib/python3.5/site-packages/tensorflow/python/training/saver.py", line 428, in _AddRestoreOps
tensors = self.restore_op(filename_tensor, saveable, preferred_shard)
File "/usr/local/envs/py3env/lib/python3.5/site-packages/tensorflow/python/training/saver.py", line 268, in restore_op
[spec.tensor.dtype])[0])
File "/usr/local/envs/py3env/lib/python3.5/site-packages/tensorflow/python/ops/gen_io_ops.py", line 1031, in restore_v2
shape_and_slices=shape_and_slices, dtypes=dtypes, name=name)
File "/usr/local/envs/py3env/lib/python3.5/site-packages/tensorflow/python/framework/op_def_library.py", line 787, in _apply_op_helper
op_def=op_def)
File "/usr/local/envs/py3env/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 3160, in create_op
op_def=op_def)
File "/usr/local/envs/py3env/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 1625, in init
self._traceback = self._graph._extract_stack() # pylint: disable=protected-access

NotFoundError (see above for traceback): Unsuccessful TensorSliceReader constructor: Failed to find any matching files for /content/lab/datalab/punctuation/model/
[[Node: save/RestoreV2_6 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/device:CPU:0"](_arg_save/Const_0_0, save/RestoreV2_6/tensor_names, save/RestoreV2_6/shape_and_slices)]]

---

NotFoundError Traceback (most recent call last)
/usr/local/envs/py3env/lib/python3.5/site-packages/tensorflow/python/client/session.py in _do_call(self, fn, *args)
1349 try:
-> 1350 return fn(*args)
1351 except errors.OpError as e:

/usr/local/envs/py3env/lib/python3.5/site-packages/tensorflow/python/client/session.py in _run_fn(session, feed_dict, fetch_list, target_list, options, run_metadata)
1328 feed_dict, fetch_list, target_list,
-> 1329 status, run_metadata)
1330

/usr/local/envs/py3env/lib/python3.5/site-packages/tensorflow/python/framework/errors_impl.py in exit(self, type_arg, value_arg, traceback_arg)
472 compat.as_text(c_api.TF_Message(self.status.status)),
--> 473 c_api.TF_GetCode(self.status.status))
474 # Delete the underlying status object from memory otherwise it stays alive

NotFoundError: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for /content/lab/datalab/punctuation/model/
[[Node: save/RestoreV2_6 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/device:CPU:0"](_arg_save/Const_0_0, save/RestoreV2_6/tensor_names, save/RestoreV2_6/shape_and_slices)]]

During handling of the above exception, another exception occurred:

NotFoundError Traceback (most recent call last)
in ()
2 from pprint import pprint
3
----> 4 cm_data = run_eval(model_file_prefix, '/content/lab/datalab/punctuation/datapreped/test.txt')
5 #'/content/datalab/docs/samples/TensorFlow'
6 pprint(cm_data.tolist())

in run_eval(model_file_prefix, test_data_path)
25 sv = tf.train.Supervisor(logdir=logdir)
26 with sv.managed_session() as session:
---> 27 sv.saver.restore(session, model_file_prefix)
28 test_perplexity, cm_data = run_epoch(session, mtest, 1, word_to_id, is_eval=True)
29 return cm_data

/usr/local/envs/py3env/lib/python3.5/site-packages/tensorflow/python/training/saver.py in restore(self, sess, save_path)
1684 if context.in_graph_mode():
1685 sess.run(self.saver_def.restore_op_name,
-> 1686 {self.saver_def.filename_tensor_name: save_path})
1687 else:
1688 self._build_eager(save_path, build_save=False, build_restore=True)

/usr/local/envs/py3env/lib/python3.5/site-packages/tensorflow/python/client/session.py in run(self, fetches, feed_dict, options, run_metadata)
893 try:
894 result = self._run(None, fetches, feed_dict, options_ptr,
--> 895 run_metadata_ptr)
896 if run_metadata:
897 proto_data = tf_session.TF_GetBuffer(run_metadata_ptr)

/usr/local/envs/py3env/lib/python3.5/site-packages/tensorflow/python/client/session.py in _run(self, handle, fetches, feed_dict, options, run_metadata)
1126 if final_fetches or final_targets or (handle and feed_dict_tensor):
1127 results = self._do_run(handle, final_targets, final_fetches,
-> 1128 feed_dict_tensor, options, run_metadata)
1129 else:
1130 results = []

/usr/local/envs/py3env/lib/python3.5/site-packages/tensorflow/python/client/session.py in _do_run(self, handle, target_list, fetch_list, feed_dict, options, run_metadata)
1342 if handle is None:
1343 return self._do_call(_run_fn, self._session, feeds, fetches, targets,
-> 1344 options, run_metadata)
1345 else:
1346 return self._do_call(_prun_fn, self._session, handle, feeds, fetches)

/usr/local/envs/py3env/lib/python3.5/site-packages/tensorflow/python/client/session.py in _do_call(self, fn, *args)
1361 except KeyError:
1362 pass
-> 1363 raise type(e)(node_def, op, message)
1364
1365 def _extend_graph(self):

NotFoundError: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for /content/lab/datalab/punctuation/model/
[[Node: save/RestoreV2_6 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/device:CPU:0"](_arg_save/Const_0_0, save/RestoreV2_6/tensor_names, save/RestoreV2_6/shape_and_slices)]]

Caused by op 'save/RestoreV2_6', defined at:
File "/usr/local/envs/py3env/lib/python3.5/runpy.py", line 193, in _run_module_as_main
"main", mod_spec)
File "/usr/local/envs/py3env/lib/python3.5/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/usr/local/envs/py3env/lib/python3.5/site-packages/ipykernel/main.py", line 3, in
app.launch_new_instance()
File "/usr/local/envs/py3env/lib/python3.5/site-packages/traitlets/config/application.py", line 658, in launch_instance
app.start()
File "/usr/local/envs/py3env/lib/python3.5/site-packages/ipykernel/kernelapp.py", line 474, in start
ioloop.IOLoop.instance().start()
File "/usr/local/envs/py3env/lib/python3.5/site-packages/zmq/eventloop/ioloop.py", line 177, in start
super(ZMQIOLoop, self).start()
File "/usr/local/envs/py3env/lib/python3.5/site-packages/tornado/ioloop.py", line 887, in start
handler_func(fd_obj, events)
File "/usr/local/envs/py3env/lib/python3.5/site-packages/tornado/stack_context.py", line 275, in null_wrapper
return fn(*args, **kwargs)
File "/usr/local/envs/py3env/lib/python3.5/site-packages/zmq/eventloop/zmqstream.py", line 440, in _handle_events
self._handle_recv()
File "/usr/local/envs/py3env/lib/python3.5/site-packages/zmq/eventloop/zmqstream.py", line 472, in _handle_recv
self._run_callback(callback, msg)
File "/usr/local/envs/py3env/lib/python3.5/site-packages/zmq/eventloop/zmqstream.py", line 414, in _run_callback
callback(*args, **kwargs)
File "/usr/local/envs/py3env/lib/python3.5/site-packages/tornado/stack_context.py", line 275, in null_wrapper
return fn(*args, **kwargs)
File "/usr/local/envs/py3env/lib/python3.5/site-packages/ipykernel/kernelbase.py", line 276, in dispatcher
return self.dispatch_shell(stream, msg)
File "/usr/local/envs/py3env/lib/python3.5/site-packages/ipykernel/kernelbase.py", line 228, in dispatch_shell
handler(stream, idents, msg)
File "/usr/local/envs/py3env/lib/python3.5/site-packages/ipykernel/kernelbase.py", line 390, in execute_request
user_expressions, allow_stdin)
File "/usr/local/envs/py3env/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 "/usr/local/envs/py3env/lib/python3.5/site-packages/ipykernel/zmqshell.py", line 501, in run_cell
return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)
File "/usr/local/envs/py3env/lib/python3.5/site-packages/IPython/core/interactiveshell.py", line 2728, in run_cell
interactivity=interactivity, compiler=compiler, result=result)
File "/usr/local/envs/py3env/lib/python3.5/site-packages/IPython/core/interactiveshell.py", line 2850, in run_ast_nodes
if self.run_code(code, result):
File "/usr/local/envs/py3env/lib/python3.5/site-packages/IPython/core/interactiveshell.py", line 2910, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "", line 4, in
cm_data = run_eval(model_file_prefix, '/content/lab/datalab/punctuation/datapreped/test.txt')
File "", line 25, in run_eval
sv = tf.train.Supervisor(logdir=logdir)
File "/usr/local/envs/py3env/lib/python3.5/site-packages/tensorflow/python/util/deprecation.py", line 136, in new_func
return func(*args, **kwargs)
File "/usr/local/envs/py3env/lib/python3.5/site-packages/tensorflow/python/training/supervisor.py", line 316, in init
self._init_saver(saver=saver)
File "/usr/local/envs/py3env/lib/python3.5/site-packages/tensorflow/python/training/supervisor.py", line 464, in _init_saver
saver = saver_mod.Saver()
File "/usr/local/envs/py3env/lib/python3.5/site-packages/tensorflow/python/training/saver.py", line 1239, in init
self.build()
File "/usr/local/envs/py3env/lib/python3.5/site-packages/tensorflow/python/training/saver.py", line 1248, in build
self._build(self._filename, build_save=True, build_restore=True)
File "/usr/local/envs/py3env/lib/python3.5/site-packages/tensorflow/python/training/saver.py", line 1284, in _build
build_save=build_save, build_restore=build_restore)
File "/usr/local/envs/py3env/lib/python3.5/site-packages/tensorflow/python/training/saver.py", line 765, in _build_internal
restore_sequentially, reshape)
File "/usr/local/envs/py3env/lib/python3.5/site-packages/tensorflow/python/training/saver.py", line 428, in _AddRestoreOps
tensors = self.restore_op(filename_tensor, saveable, preferred_shard)
File "/usr/local/envs/py3env/lib/python3.5/site-packages/tensorflow/python/training/saver.py", line 268, in restore_op
[spec.tensor.dtype])[0])
File "/usr/local/envs/py3env/lib/python3.5/site-packages/tensorflow/python/ops/gen_io_ops.py", line 1031, in restore_v2
shape_and_slices=shape_and_slices, dtypes=dtypes, name=name)
File "/usr/local/envs/py3env/lib/python3.5/site-packages/tensorflow/python/framework/op_def_library.py", line 787, in _apply_op_helper
op_def=op_def)
File "/usr/local/envs/py3env/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 3160, in create_op
op_def=op_def)
File "/usr/local/envs/py3env/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 1625, in init
self._traceback = self._graph._extract_stack() # pylint: disable=protected-access

NotFoundError (see above for traceback): Unsuccessful TensorSliceReader constructor: Failed to find any matching files for /content/lab/datalab/punctuation/model/
[[Node: save/RestoreV2_6 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/device:CPU:0"](_arg_save/Const_0_0, save/RestoreV2_6/tensor_names, save/RestoreV2_6/shape_and_slices)]]

The path, and file, both exist.

When I use model_file_prefix = train(ttxt, vtxt, saved_model_path) the code does work without error. Any idea why this occurs and how to fix it?

[chmeyers]

I'm assuming this is for this notebook: https://github.com/googledatalab/notebooks/blob/master/samples/TensorFlow/LSTM%20Punctuation%20Model%20With%20TensorFlow.ipynb

Just to check, you removed this cell?:
!rm -r -f /content/datalab/punctuation/model

Also you are using model_dir = '/content/lab/datalab/punctuation/model/' and the default for that notebook is '/content/datalab/punctuation/model/' (without the 'lab/'). Just wanted to make sure it's actually looking the right directory.

[demetrii]

@chmeyers

I have not removed !rm -r -f /content/datalab/punctuation/model. Also I have created a copy of the notebook with a slightly different path, hence the "lab/datalab" . The model directory is created under content/lab/datalab/punctuation/.

You assumption in that I am using https://github.com/googledatalab/notebooks/blob/master/samples/TensorFlow/LSTM%20Punctuation%20Model%20With%20TensorFlow.ipynb is correct.