TextRCNN model predict error

[kevinsay]

Restoring Variables from Checkpoint Traceback (most recent call last): File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1327, in _do_call return fn(*args) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1312, in _run_fn options, feed_dict, fetch_list, target_list, run_metadata) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1420, in _call_tf_sessionrun status, run_metadata) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/errors_impl.py", line 516, in exit c_api.TF_GetCode(self.status.status)) tensorflow.python.framework.errors_impl.InvalidArgumentError: Assign requires shapes of both tensors to match. lhs shape= [10171,100] rhs shape= [999,100] [[Node: save/Assign = Assign[T=DT_FLOAT, _class=["loc:@Embedding"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/device:CPU:0"](Embedding, save/RestoreV2)]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "p71_TextRCNN_predict.py", line 132, in tf.app.run() File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/platform/app.py", line 126, in run _sys.exit(main(argv)) File "p71_TextRCNN_predict.py", line 64, in main saver.restore(sess,tf.train.latest_checkpoint(FLAGS.ckpt_dir)) #TODO File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 1775, in restore {self.saver_def.filename_tensor_name: save_path}) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 905, in run run_metadata_ptr) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1140, in _run feed_dict_tensor, options, run_metadata) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1321, in _do_run run_metadata) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1340, in _do_call raise type(e)(node_def, op, message) tensorflow.python.framework.errors_impl.InvalidArgumentError: Assign requires shapes of both tensors to match. lhs shape= [10171,100] rhs shape= [999,100] [[Node: save/Assign = Assign[T=DT_FLOAT, _class=["loc:@Embedding"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/device:CPU:0"](Embedding, save/RestoreV2)]]

Caused by op 'save/Assign', defined at: File "p71_TextRCNN_predict.py", line 132, in tf.app.run() File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/platform/app.py", line 126, in run _sys.exit(main(argv)) File "p71_TextRCNN_predict.py", line 61, in main saver=tf.train.Saver() File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 1311, in init self.build() File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 1320, in build self._build(self._filename, build_save=True, build_restore=True) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 1357, in _build build_save=build_save, build_restore=build_restore) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 809, in _build_internal restore_sequentially, reshape) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 470, in _AddRestoreOps assign_ops.append(saveable.restore(saveable_tensors, shapes)) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 162, in restore self.op.get_shape().is_fully_defined()) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/ops/state_ops.py", line 281, in assign validate_shape=validate_shape) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/ops/gen_state_ops.py", line 61, in assign use_locking=use_locking, name=name) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/op_def_library.py", line 787, in _apply_op_helper op_def=op_def) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/ops.py", line 3290, in create_op op_def=op_def) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/ops.py", line 1654, in init self._traceback = self._graph._extract_stack() # pylint: disable=protected-access

InvalidArgumentError (see above for traceback): Assign requires shapes of both tensors to match. lhs shape= [10171,100] rhs shape= [999,100] [[Node: save/Assign = Assign[T=DT_FLOAT, _class=["loc:@Embedding"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/device:CPU:0"](Embedding, save/RestoreV2)]]

[advancera]

try to delete your checkpoint dictionary, then rerun the code.

[bikramkhastgir]

@kevinsay .. did you get prediction for CNN? Also with RCNN I too got this error. @advancera : I tried but still not working. I think it is because of the common 'data_util_zhihu' file, i am using, but cannot pin point the issue.

[switchhh]

@kevinsay @bikramkhastgir This problem seems like vocab_size in train and predict should not use different var, this var used for embdding layer's size, it's the size of complete word vector space.. sorry for my poor english.