Assign requires shapes of both tensors to match

[Yuli555]

I am trying to run the script and am keep getting this error.

InvalidArgumentError (see above for traceback): Assign requires shapes of both tensors to match. lhs shape= [1500] rhs shape= [1024]
[[Node: save/Assign_8 = Assign[T=DT_FLOAT, _class=["loc:@initial_lstm/b_h"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/device:GPU:0"](initial_lstm/b_h, save/RestoreV2/_33)]]

I am wondering if I did something wrong on install or if the data files did not download, unzip, or pre-process properly but this is the only error i get even when trashing the whole data file and starting over.

Thanks in advance for any help.

INFO:tensorflow:Restoring parameters from ./model/lstm/model-18

---

InvalidArgumentError Traceback (most recent call last)
in ()
----> 1 solver.test(data, split='val')

/data/raid_ssd/Show_Attend_and_Tell/show-attend-and-tell-tensorflow/core/solver.pyc in test(self, data, split, attention_visualization, save_sampled_captions)
202 with tf.Session(config=config) as sess:
203 saver = tf.train.Saver()
--> 204 saver.restore(sess, self.test_model)
205 features_batch, image_files = sample_coco_minibatch(data, self.batch_size)
206 feed_dict = { self.model.features: features_batch }

/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/saver.pyc in restore(self, sess, save_path)
1800 else:
1801 sess.run(self.saver_def.restore_op_name,
-> 1802 {self.saver_def.filename_tensor_name: save_path})
1803
1804 @staticmethod

/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.pyc in run(self, fetches, feed_dict, options, run_metadata)
898 try:
899 result = self._run(None, fetches, feed_dict, options_ptr,
--> 900 run_metadata_ptr)
901 if run_metadata:
902 proto_data = tf_session.TF_GetBuffer(run_metadata_ptr)

/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.pyc in _run(self, handle, fetches, feed_dict, options, run_metadata)
1133 if final_fetches or final_targets or (handle and feed_dict_tensor):
1134 results = self._do_run(handle, final_targets, final_fetches,
-> 1135 feed_dict_tensor, options, run_metadata)
1136 else:
1137 results = []

/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.pyc in _do_run(self, handle, target_list, fetch_list, feed_dict, options, run_metadata)
1314 if handle is None:
1315 return self._do_call(_run_fn, feeds, fetches, targets, options,
-> 1316 run_metadata)
1317 else:
1318 return self._do_call(_prun_fn, handle, feeds, fetches)

/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.pyc in _do_call(self, fn, *args)
1333 except KeyError:
1334 pass
-> 1335 raise type(e)(node_def, op, message)
1336
1337 def _extend_graph(self):

InvalidArgumentError: Assign requires shapes of both tensors to match. lhs shape= [1500] rhs shape= [1024]
[[Node: save/Assign_8 = Assign[T=DT_FLOAT, _class=["loc:@initial_lstm/b_h"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/device:GPU:0"](initial_lstm/b_h, save/RestoreV2/_33)]]

Caused by op u'save/Assign_8', defined at:
File "/usr/lib/python2.7/runpy.py", line 174, in _run_module_as_main
"main", fname, loader, pkg_name)
File "/usr/lib/python2.7/runpy.py", line 72, in _run_code
exec code in run_globals
File "/usr/local/lib/python2.7/dist-packages/ipykernel_launcher.py", line 16, in
app.launch_new_instance()
File "/usr/local/lib/python2.7/dist-packages/traitlets/config/application.py", line 658, in launch_instance
app.start()
File "/usr/local/lib/python2.7/dist-packages/ipykernel/kernelapp.py", line 486, in start
self.io_loop.start()
File "/usr/local/lib/python2.7/dist-packages/tornado/ioloop.py", line 1008, in start
self._run_callback(self._callbacks.popleft())
File "/usr/local/lib/python2.7/dist-packages/tornado/ioloop.py", line 759, in _run_callback
ret = callback()
File "/usr/local/lib/python2.7/dist-packages/tornado/stack_context.py", line 276, in null_wrapper
return fn(*args, **kwargs)
File "/usr/local/lib/python2.7/dist-packages/zmq/eventloop/zmqstream.py", line 536, in
self.io_loop.add_callback(lambda : self._handle_events(self.socket, 0))
File "/usr/local/lib/python2.7/dist-packages/zmq/eventloop/zmqstream.py", line 450, in _handle_events
self._handle_recv()
File "/usr/local/lib/python2.7/dist-packages/zmq/eventloop/zmqstream.py", line 480, in _handle_recv
self._run_callback(callback, msg)
File "/usr/local/lib/python2.7/dist-packages/zmq/eventloop/zmqstream.py", line 432, in _run_callback
callback(*args, **kwargs)
File "/usr/local/lib/python2.7/dist-packages/tornado/stack_context.py", line 276, in null_wrapper
return fn(*args, **kwargs)
File "/usr/local/lib/python2.7/dist-packages/ipykernel/kernelbase.py", line 283, in dispatcher
return self.dispatch_shell(stream, msg)
File "/usr/local/lib/python2.7/dist-packages/ipykernel/kernelbase.py", line 233, in dispatch_shell
handler(stream, idents, msg)
File "/usr/local/lib/python2.7/dist-packages/ipykernel/kernelbase.py", line 399, in execute_request
user_expressions, allow_stdin)
File "/usr/local/lib/python2.7/dist-packages/ipykernel/ipkernel.py", line 208, in do_execute
res = shell.run_cell(code, store_history=store_history, silent=silent)
File "/usr/local/lib/python2.7/dist-packages/ipykernel/zmqshell.py", line 537, in run_cell
return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)
File "/usr/local/lib/python2.7/dist-packages/IPython/core/interactiveshell.py", line 2714, in run_cell
interactivity=interactivity, compiler=compiler, result=result)
File "/usr/local/lib/python2.7/dist-packages/IPython/core/interactiveshell.py", line 2824, in run_ast_nodes
if self.run_code(code, result):
File "/usr/local/lib/python2.7/dist-packages/IPython/core/interactiveshell.py", line 2878, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "", line 1, in
solver.test(data, split='val')
File "core/solver.py", line 203, in test
saver = tf.train.Saver()
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/saver.py", line 1338, in init
self.build()
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/saver.py", line 1347, in build
self._build(self._filename, build_save=True, build_restore=True)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/saver.py", line 1384, in _build
build_save=build_save, build_restore=build_restore)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/saver.py", line 835, in _build_internal
restore_sequentially, reshape)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/saver.py", line 494, in _AddRestoreOps
assign_ops.append(saveable.restore(saveable_tensors, shapes))
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/saver.py", line 185, in restore
self.op.get_shape().is_fully_defined())
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/state_ops.py", line 283, in assign
validate_shape=validate_shape)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/gen_state_ops.py", line 60, in assign
use_locking=use_locking, name=name)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/op_def_library.py", line 787, in _apply_op_helper
op_def=op_def)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 3392, in create_op
op_def=op_def)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 1718, in init
self._traceback = self._graph._extract_stack() # pylint: disable=protected-access

[saiganesh185]

did u solved it ?
i am also getting the same error

[Yuli555]

model = CaptionGenerator(word_to_idx, dim_feature=[196, 512], dim_embed=512,
dim_hidden=1024, n_time_step=16, prev2out=True,
ctx2out=True, alpha_c=1.0, selector=True, dropout=True)

[chaoyan1037]

@Yuli555 I have tried your method and it did not work. Have you tried it yourself?

[mastergofujs]

could you tell me how to deal with it?

[mastergofujs]

@chaoyan1037 I am getting the same problem.Have you solved it?

[chaoyan1037]

@chaoyan1037 I am getting the same problem.Have you solved it?

Yes, I changed some numbers and then it worked, but I do not remember which number I changed. You should read the source code and find out which number to change. Good luck.