kernel not found in checkpoint

[kriskrishnaa]

Using TensorFlow backend.
(158915, 4096)
(158915,)
Two young guys with shaggy hair look at their hands while hanging out in the yard .
preprocessing 30 word vocab
preprocessed words 20326 -> 2942
Traceback (most recent call last):
File "C:\Program Files\Python36\lib\site-packages\tensorflow\python\client\session.py", line 1327, in _do_call
return fn(*args)
File "C:\Program Files\Python36\lib\site-packages\tensorflow\python\client\session.py", line 1306, in _run_fn
status, run_metadata)
File "C:\Program Files\Python36\lib\contextlib.py", line 88, in exit
next(self.gen)
File "C:\Program Files\Python36\lib\site-packages\tensorflow\python\framework\errors_impl.py", line 466, in raise_exception_on_not_ok_status
pywrap_tensorflow.TF_GetCode(status))
tensorflow.python.framework.errors_impl.NotFoundError: Key RNN/basic_lstm_cell/kernel not found in checkpoint
[[Node: save/RestoreV2_1 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_arg_save/Const_0_0, save/RestoreV2_1/tensor_names, save/RestoreV2_1/shape_and_slices)]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "C:/Users/SONY/Desktop/img_cap/training.py", line 206, in
train(.001,True,True) #continue training from pretrained weights @epoch500
File "C:/Users/SONY/Desktop/img_cap/training.py", line 176, in train
saver.restore(sess,tf.train.latest_checkpoint(model_path_transfer))
File "C:\Program Files\Python36\lib\site-packages\tensorflow\python\training\saver.py", line 1560, in restore
{self.saver_def.filename_tensor_name: save_path})
File "C:\Program Files\Python36\lib\site-packages\tensorflow\python\client\session.py", line 895, in run
run_metadata_ptr)
File "C:\Program Files\Python36\lib\site-packages\tensorflow\python\client\session.py", line 1124, in _run
feed_dict_tensor, options, run_metadata)
File "C:\Program Files\Python36\lib\site-packages\tensorflow\python\client\session.py", line 1321, in _do_run
options, run_metadata)
File "C:\Program Files\Python36\lib\site-packages\tensorflow\python\client\session.py", line 1340, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.NotFoundError: Key RNN/basic_lstm_cell/kernel not found in checkpoint
[[Node: save/RestoreV2_1 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_arg_save/Const_0_0, save/RestoreV2_1/tensor_names, save/RestoreV2_1/shape_and_slices)]]

Caused by op 'save/RestoreV2_1', defined at:
File "", line 1, in
File "C:\Program Files\Python36\lib\idlelib\run.py", line 144, in main
ret = method(*args, **kwargs)
File "C:\Program Files\Python36\lib\idlelib\run.py", line 474, in runcode
exec(code, self.locals)
File "C:/Users/SONY/Desktop/img_cap/training.py", line 206, in
train(.001,True,True) #continue training from pretrained weights @epoch500
File "C:/Users/SONY/Desktop/img_cap/training.py", line 165, in train
saver = tf.train.Saver(max_to_keep=100)
File "C:\Program Files\Python36\lib\site-packages\tensorflow\python\training\saver.py", line 1140, in init
self.build()
File "C:\Program Files\Python36\lib\site-packages\tensorflow\python\training\saver.py", line 1172, in build
filename=self._filename)
File "C:\Program Files\Python36\lib\site-packages\tensorflow\python\training\saver.py", line 688, in build
restore_sequentially, reshape)
File "C:\Program Files\Python36\lib\site-packages\tensorflow\python\training\saver.py", line 407, in _AddRestoreOps
tensors = self.restore_op(filename_tensor, saveable, preferred_shard)
File "C:\Program Files\Python36\lib\site-packages\tensorflow\python\training\saver.py", line 247, in restore_op
[spec.tensor.dtype])[0])
File "C:\Program Files\Python36\lib\site-packages\tensorflow\python\ops\gen_io_ops.py", line 663, in restore_v2
dtypes=dtypes, name=name)
File "C:\Program Files\Python36\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 767, in apply_op
op_def=op_def)
File "C:\Program Files\Python36\lib\site-packages\tensorflow\python\framework\ops.py", line 2630, in create_op
original_op=self._default_original_op, op_def=op_def)
File "C:\Program Files\Python36\lib\site-packages\tensorflow\python\framework\ops.py", line 1204, in init
self._traceback = self._graph._extract_stack() # pylint: disable=protected-access

NotFoundError (see above for traceback): Key RNN/basic_lstm_cell/kernel not found in checkpoint
[[Node: save/RestoreV2_1 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_arg_save/Const_0_0, save/RestoreV2_1/tensor_names, save/RestoreV2_1/shape_and_slices)]]

# please resolve this!

[chandanmishra-03]

I am facing same problem.can anyone help?

[mohitbindal10]

it seems the model was trained on previous version of tf having a bit different layer architectures. i am training my own model and will ask for pull once it is trained upto good accuracy. And btw if u train your own model keep batch sizes to minimum. The model tends to diverge on larger batch sizes

[chandanmishra-03]

Hey I used docker method.Its easy.try it ,you will not get error.

[wangzhanxd]

do you solve it?

[kriskrishnaa]

Not yet!

…

On Oct 31, 2018 7:33 PM, "wangzhanxd" ***@***.***> wrote: do you solve it? — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub <#20 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AYHG2SgsnrlHR-MW57rNIMgbbYOOGXOAks5uqa3CgaJpZM4SaziO> .