Irregular error “RuntimeError: Unable to create attribute (object header message is too large)”












0














I am saving weight of keras model on each better loss at the end of epoch



def save_best_weights_if_required(self, loss, acc):
if self.best_loss is None or loss<self.best_loss:
logger.info('Saving ''best_weights.h5''...')
self.save_weights('best_weights.h5')
self.best_acc = acc
self.best_loss = loss

def on_epoch_end(self, epoch, logs=None):
self.epoch_logs.append(logs)
self.save_best_weights_if_required(logs['val_loss'], logs['val_acc'])


As you see, the function is called many times with the same filename.



On first save it takes up to minutes to save. On next saves it does instantly.



Also I got error



File "/opt/anaconda3/envs/py35/lib/python3.5/site-packages/keras/engine/network.py", line 1104, in save
save_model(self, filepath, overwrite, include_optimizer)
File "/opt/anaconda3/envs/py35/lib/python3.5/site-packages/keras/engine/saving.py", line 175, in save_model
'weight_names'] = weight_names
File "h5py/_objects.pyx", line 54, in h5py._objects.with_phil.wrapper
File "h5py/_objects.pyx", line 55, in h5py._objects.with_phil.wrapper
File "/opt/anaconda3/envs/py35/lib/python3.5/site-packages/h5py/_hl/attrs.py", line 95, in __setitem__
self.create(name, data=value, dtype=base.guess_dtype(value))
File "/opt/anaconda3/envs/py35/lib/python3.5/site-packages/h5py/_hl/attrs.py", line 188, in create
attr = h5a.create(self._id, self._e(tempname), htype, space)
File "h5py/_objects.pyx", line 54, in h5py._objects.with_phil.wrapper
File "h5py/_objects.pyx", line 55, in h5py._objects.with_phil.wrapper
File "h5py/h5a.pyx", line 47, in h5py.h5a.create
RuntimeError: Unable to create attribute (object header message is too large)


during one of the later saves.



How can it be? If the problem is with node names, then how it could save first times?



Why is it saving longer on first save?










share|improve this question



























    0














    I am saving weight of keras model on each better loss at the end of epoch



    def save_best_weights_if_required(self, loss, acc):
    if self.best_loss is None or loss<self.best_loss:
    logger.info('Saving ''best_weights.h5''...')
    self.save_weights('best_weights.h5')
    self.best_acc = acc
    self.best_loss = loss

    def on_epoch_end(self, epoch, logs=None):
    self.epoch_logs.append(logs)
    self.save_best_weights_if_required(logs['val_loss'], logs['val_acc'])


    As you see, the function is called many times with the same filename.



    On first save it takes up to minutes to save. On next saves it does instantly.



    Also I got error



    File "/opt/anaconda3/envs/py35/lib/python3.5/site-packages/keras/engine/network.py", line 1104, in save
    save_model(self, filepath, overwrite, include_optimizer)
    File "/opt/anaconda3/envs/py35/lib/python3.5/site-packages/keras/engine/saving.py", line 175, in save_model
    'weight_names'] = weight_names
    File "h5py/_objects.pyx", line 54, in h5py._objects.with_phil.wrapper
    File "h5py/_objects.pyx", line 55, in h5py._objects.with_phil.wrapper
    File "/opt/anaconda3/envs/py35/lib/python3.5/site-packages/h5py/_hl/attrs.py", line 95, in __setitem__
    self.create(name, data=value, dtype=base.guess_dtype(value))
    File "/opt/anaconda3/envs/py35/lib/python3.5/site-packages/h5py/_hl/attrs.py", line 188, in create
    attr = h5a.create(self._id, self._e(tempname), htype, space)
    File "h5py/_objects.pyx", line 54, in h5py._objects.with_phil.wrapper
    File "h5py/_objects.pyx", line 55, in h5py._objects.with_phil.wrapper
    File "h5py/h5a.pyx", line 47, in h5py.h5a.create
    RuntimeError: Unable to create attribute (object header message is too large)


    during one of the later saves.



    How can it be? If the problem is with node names, then how it could save first times?



    Why is it saving longer on first save?










    share|improve this question

























      0












      0








      0







      I am saving weight of keras model on each better loss at the end of epoch



      def save_best_weights_if_required(self, loss, acc):
      if self.best_loss is None or loss<self.best_loss:
      logger.info('Saving ''best_weights.h5''...')
      self.save_weights('best_weights.h5')
      self.best_acc = acc
      self.best_loss = loss

      def on_epoch_end(self, epoch, logs=None):
      self.epoch_logs.append(logs)
      self.save_best_weights_if_required(logs['val_loss'], logs['val_acc'])


      As you see, the function is called many times with the same filename.



      On first save it takes up to minutes to save. On next saves it does instantly.



      Also I got error



      File "/opt/anaconda3/envs/py35/lib/python3.5/site-packages/keras/engine/network.py", line 1104, in save
      save_model(self, filepath, overwrite, include_optimizer)
      File "/opt/anaconda3/envs/py35/lib/python3.5/site-packages/keras/engine/saving.py", line 175, in save_model
      'weight_names'] = weight_names
      File "h5py/_objects.pyx", line 54, in h5py._objects.with_phil.wrapper
      File "h5py/_objects.pyx", line 55, in h5py._objects.with_phil.wrapper
      File "/opt/anaconda3/envs/py35/lib/python3.5/site-packages/h5py/_hl/attrs.py", line 95, in __setitem__
      self.create(name, data=value, dtype=base.guess_dtype(value))
      File "/opt/anaconda3/envs/py35/lib/python3.5/site-packages/h5py/_hl/attrs.py", line 188, in create
      attr = h5a.create(self._id, self._e(tempname), htype, space)
      File "h5py/_objects.pyx", line 54, in h5py._objects.with_phil.wrapper
      File "h5py/_objects.pyx", line 55, in h5py._objects.with_phil.wrapper
      File "h5py/h5a.pyx", line 47, in h5py.h5a.create
      RuntimeError: Unable to create attribute (object header message is too large)


      during one of the later saves.



      How can it be? If the problem is with node names, then how it could save first times?



      Why is it saving longer on first save?










      share|improve this question













      I am saving weight of keras model on each better loss at the end of epoch



      def save_best_weights_if_required(self, loss, acc):
      if self.best_loss is None or loss<self.best_loss:
      logger.info('Saving ''best_weights.h5''...')
      self.save_weights('best_weights.h5')
      self.best_acc = acc
      self.best_loss = loss

      def on_epoch_end(self, epoch, logs=None):
      self.epoch_logs.append(logs)
      self.save_best_weights_if_required(logs['val_loss'], logs['val_acc'])


      As you see, the function is called many times with the same filename.



      On first save it takes up to minutes to save. On next saves it does instantly.



      Also I got error



      File "/opt/anaconda3/envs/py35/lib/python3.5/site-packages/keras/engine/network.py", line 1104, in save
      save_model(self, filepath, overwrite, include_optimizer)
      File "/opt/anaconda3/envs/py35/lib/python3.5/site-packages/keras/engine/saving.py", line 175, in save_model
      'weight_names'] = weight_names
      File "h5py/_objects.pyx", line 54, in h5py._objects.with_phil.wrapper
      File "h5py/_objects.pyx", line 55, in h5py._objects.with_phil.wrapper
      File "/opt/anaconda3/envs/py35/lib/python3.5/site-packages/h5py/_hl/attrs.py", line 95, in __setitem__
      self.create(name, data=value, dtype=base.guess_dtype(value))
      File "/opt/anaconda3/envs/py35/lib/python3.5/site-packages/h5py/_hl/attrs.py", line 188, in create
      attr = h5a.create(self._id, self._e(tempname), htype, space)
      File "h5py/_objects.pyx", line 54, in h5py._objects.with_phil.wrapper
      File "h5py/_objects.pyx", line 55, in h5py._objects.with_phil.wrapper
      File "h5py/h5a.pyx", line 47, in h5py.h5a.create
      RuntimeError: Unable to create attribute (object header message is too large)


      during one of the later saves.



      How can it be? If the problem is with node names, then how it could save first times?



      Why is it saving longer on first save?







      python keras hdf5






      share|improve this question













      share|improve this question











      share|improve this question




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      asked Nov 23 '18 at 7:15









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