... does not match the provided checkpoint file name exactly trump.ckpt.data-00000-of-00001
so the load is not attempted.
Therefore, the model is untrained for the example and the predictions are all non-deterministic random strings,
etc.
I'm running TF 1.1.0 wit GPU support on a Debian 4.9.18-1 laptop.
INFO:tensorflow:Restoring parameters from ./trump.ckpt
---------------------------------------------------------------------------
InvalidArgumentError Traceback (most recent call last)
~/anaconda3/envs/potrero/lib/python3.6/site-packages/tensorflow/python/client/session.py in _do_call(self, fn, *args)
1038 try:
-> 1039 return fn(*args)
1040 except errors.OpError as e:
~/anaconda3/envs/potrero/lib/python3.6/site-packages/tensorflow/python/client/session.py in _run_fn(session, feed_dict, fetch_list, target_list, options, run_metadata)
1020 feed_dict, fetch_list, target_list,
-> 1021 status, run_metadata)
1022
~/anaconda3/envs/potrero/lib/python3.6/contextlib.py in __exit__(self, type, value, traceback)
88 try:
---> 89 next(self.gen)
90 except StopIteration:
~/anaconda3/envs/potrero/lib/python3.6/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:
InvalidArgumentError: Assign requires shapes of both tensors to match. lhs shape= [2048] rhs shape= [800]
[[Node: save/Assign_17 = Assign[T=DT_FLOAT, _class=["loc:@rnn/rnn/multi_rnn_cell/cell_1/basic_lstm_cell/biases"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/gpu:0"](rnn/rnn/multi_rnn_cell/cell_1/basic_lstm_cell/biases, save/RestoreV2_17/_49)]]
During handling of the above exception, another exception occurred:
InvalidArgumentError Traceback (most recent call last)
<ipython-input-8-999cfb8483be> in <module>()
11 saver = tf.train.Saver()
12 # if os.path.exists(ckpt_name):
---> 13 saver.restore(sess, ckpt_name)
14 # print("Model restored.")
15
~/anaconda3/envs/potrero/lib/python3.6/site-packages/tensorflow/python/training/saver.py in restore(self, sess, save_path)
1455 logging.info("Restoring parameters from %s", save_path)
1456 sess.run(self.saver_def.restore_op_name,
-> 1457 {self.saver_def.filename_tensor_name: save_path})
1458
1459 @staticmethod
~/anaconda3/envs/potrero/lib/python3.6/site-packages/tensorflow/python/client/session.py in run(self, fetches, feed_dict, options, run_metadata)
776 try:
777 result = self._run(None, fetches, feed_dict, options_ptr,
--> 778 run_metadata_ptr)
779 if run_metadata:
780 proto_data = tf_session.TF_GetBuffer(run_metadata_ptr)
~/anaconda3/envs/potrero/lib/python3.6/site-packages/tensorflow/python/client/session.py in _run(self, handle, fetches, feed_dict, options, run_metadata)
980 if final_fetches or final_targets:
981 results = self._do_run(handle, final_targets, final_fetches,
--> 982 feed_dict_string, options, run_metadata)
983 else:
984 results = []
~/anaconda3/envs/potrero/lib/python3.6/site-packages/tensorflow/python/client/session.py in _do_run(self, handle, target_list, fetch_list, feed_dict, options, run_metadata)
1030 if handle is None:
1031 return self._do_call(_run_fn, self._session, feed_dict, fetch_list,
-> 1032 target_list, options, run_metadata)
1033 else:
1034 return self._do_call(_prun_fn, self._session, handle, feed_dict,
~/anaconda3/envs/potrero/lib/python3.6/site-packages/tensorflow/python/client/session.py in _do_call(self, fn, *args)
1050 except KeyError:
1051 pass
-> 1052 raise type(e)(node_def, op, message)
1053
1054 def _extend_graph(self):
InvalidArgumentError: Assign requires shapes of both tensors to match. lhs shape= [2048] rhs shape= [800]
[[Node: save/Assign_17 = Assign[T=DT_FLOAT, _class=["loc:@rnn/rnn/multi_rnn_cell/cell_1/basic_lstm_cell/biases"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/gpu:0"](rnn/rnn/multi_rnn_cell/cell_1/basic_lstm_cell/biases, save/RestoreV2_17/_49)]]
Caused by op 'save/Assign_17', defined at:
File "/home/gabriel/anaconda3/envs/potrero/lib/python3.6/runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "/home/gabriel/anaconda3/envs/potrero/lib/python3.6/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/home/gabriel/anaconda3/envs/potrero/lib/python3.6/site-packages/ipykernel_launcher.py", line 16, in <module>
app.launch_new_instance()
File "/home/gabriel/anaconda3/envs/potrero/lib/python3.6/site-packages/traitlets/config/application.py", line 658, in launch_instance
app.start()
File "/home/gabriel/anaconda3/envs/potrero/lib/python3.6/site-packages/ipykernel/kernelapp.py", line 477, in start
ioloop.IOLoop.instance().start()
File "/home/gabriel/anaconda3/envs/potrero/lib/python3.6/site-packages/zmq/eventloop/ioloop.py", line 177, in start
super(ZMQIOLoop, self).start()
File "/home/gabriel/anaconda3/envs/potrero/lib/python3.6/site-packages/tornado/ioloop.py", line 888, in start
handler_func(fd_obj, events)
File "/home/gabriel/anaconda3/envs/potrero/lib/python3.6/site-packages/tornado/stack_context.py", line 277, in null_wrapper
return fn(*args, **kwargs)
File "/home/gabriel/anaconda3/envs/potrero/lib/python3.6/site-packages/zmq/eventloop/zmqstream.py", line 440, in _handle_events
self._handle_recv()
File "/home/gabriel/anaconda3/envs/potrero/lib/python3.6/site-packages/zmq/eventloop/zmqstream.py", line 472, in _handle_recv
self._run_callback(callback, msg)
File "/home/gabriel/anaconda3/envs/potrero/lib/python3.6/site-packages/zmq/eventloop/zmqstream.py", line 414, in _run_callback
callback(*args, **kwargs)
File "/home/gabriel/anaconda3/envs/potrero/lib/python3.6/site-packages/tornado/stack_context.py", line 277, in null_wrapper
return fn(*args, **kwargs)
File "/home/gabriel/anaconda3/envs/potrero/lib/python3.6/site-packages/ipykernel/kernelbase.py", line 283, in dispatcher
return self.dispatch_shell(stream, msg)
File "/home/gabriel/anaconda3/envs/potrero/lib/python3.6/site-packages/ipykernel/kernelbase.py", line 235, in dispatch_shell
handler(stream, idents, msg)
File "/home/gabriel/anaconda3/envs/potrero/lib/python3.6/site-packages/ipykernel/kernelbase.py", line 399, in execute_request
user_expressions, allow_stdin)
File "/home/gabriel/anaconda3/envs/potrero/lib/python3.6/site-packages/ipykernel/ipkernel.py", line 196, in do_execute
res = shell.run_cell(code, store_history=store_history, silent=silent)
File "/home/gabriel/anaconda3/envs/potrero/lib/python3.6/site-packages/ipykernel/zmqshell.py", line 533, in run_cell
return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)
File "/home/gabriel/anaconda3/envs/potrero/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 2698, in run_cell
interactivity=interactivity, compiler=compiler, result=result)
File "/home/gabriel/anaconda3/envs/potrero/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 2802, in run_ast_nodes
if self.run_code(code, result):
File "/home/gabriel/anaconda3/envs/potrero/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 2862, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "<ipython-input-8-999cfb8483be>", line 11, in <module>
saver = tf.train.Saver()
File "/home/gabriel/anaconda3/envs/potrero/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 1056, in __init__
self.build()
File "/home/gabriel/anaconda3/envs/potrero/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 1086, in build
restore_sequentially=self._restore_sequentially)
File "/home/gabriel/anaconda3/envs/potrero/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 691, in build
restore_sequentially, reshape)
File "/home/gabriel/anaconda3/envs/potrero/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 419, in _AddRestoreOps
assign_ops.append(saveable.restore(tensors, shapes))
File "/home/gabriel/anaconda3/envs/potrero/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 155, in restore
self.op.get_shape().is_fully_defined())
File "/home/gabriel/anaconda3/envs/potrero/lib/python3.6/site-packages/tensorflow/python/ops/state_ops.py", line 270, in assign
validate_shape=validate_shape)
File "/home/gabriel/anaconda3/envs/potrero/lib/python3.6/site-packages/tensorflow/python/ops/gen_state_ops.py", line 47, in assign
use_locking=use_locking, name=name)
File "/home/gabriel/anaconda3/envs/potrero/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 768, in apply_op
op_def=op_def)
File "/home/gabriel/anaconda3/envs/potrero/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 2336, in create_op
original_op=self._default_original_op, op_def=op_def)
File "/home/gabriel/anaconda3/envs/potrero/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1228, in __init__
self._traceback = _extract_stack()
InvalidArgumentError (see above for traceback): Assign requires shapes of both tensors to match. lhs shape= [2048] rhs shape= [800]
[[Node: save/Assign_17 = Assign[T=DT_FLOAT, _class=["loc:@rnn/rnn/multi_rnn_cell/cell_1/basic_lstm_cell/biases"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/gpu:0"](rnn/rnn/multi_rnn_cell/cell_1/basic_lstm_cell/biases, save/RestoreV2_17/_49)]]