Error During Trianing Fit

[ghafran]

When running the following code:

parallel_model.fit(steps_per_epoch=64115//batch_size, 
                   epochs=config.NUM_EPOCHS, 
                   callbacks=callbacks)

Getting this error.

WARNING:tensorflow:From /usr/local/lib/python3.7/site-packages/tensorflow/python/ops/math_ops.py:3066: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.cast instead.
Epoch 1/125
---------------------------------------------------------------------------
UnknownError                              Traceback (most recent call last)
<ipython-input-11-a6811e3578ae> in <module>
      1 parallel_model.fit(steps_per_epoch=64115//batch_size, 
      2                    epochs=config.NUM_EPOCHS,
----> 3                    callbacks=callbacks)

/usr/local/lib/python3.7/site-packages/keras/engine/training.py in fit(self, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, **kwargs)
   1037                                         initial_epoch=initial_epoch,
   1038                                         steps_per_epoch=steps_per_epoch,
-> 1039                                         validation_steps=validation_steps)
   1040 
   1041     def evaluate(self, x=None, y=None,

/usr/local/lib/python3.7/site-packages/keras/engine/training_arrays.py in fit_loop(model, f, ins, out_labels, batch_size, epochs, verbose, callbacks, val_f, val_ins, shuffle, callback_metrics, initial_epoch, steps_per_epoch, validation_steps)
    152                 batch_logs['size'] = 1
    153                 callbacks.on_batch_begin(step_index, batch_logs)
--> 154                 outs = f(ins)
    155 
    156                 outs = to_list(outs)

/usr/local/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py in __call__(self, inputs)
   2713                 return self._legacy_call(inputs)
   2714 
-> 2715             return self._call(inputs)
   2716         else:
   2717             if py_any(is_tensor(x) for x in inputs):

/usr/local/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py in _call(self, inputs)
   2673             fetched = self._callable_fn(*array_vals, run_metadata=self.run_metadata)
   2674         else:
-> 2675             fetched = self._callable_fn(*array_vals)
   2676         return fetched[:len(self.outputs)]
   2677 

/usr/local/lib/python3.7/site-packages/tensorflow/python/client/session.py in __call__(self, *args, **kwargs)
   1437           ret = tf_session.TF_SessionRunCallable(
   1438               self._session._session, self._handle, args, status,
-> 1439               run_metadata_ptr)
   1440         if run_metadata:
   1441           proto_data = tf_session.TF_GetBuffer(run_metadata_ptr)

/usr/local/lib/python3.7/site-packages/tensorflow/python/framework/errors_impl.py in __exit__(self, type_arg, value_arg, traceback_arg)
    526             None, None,
    527             compat.as_text(c_api.TF_Message(self.status.status)),
--> 528             c_api.TF_GetCode(self.status.status))
    529     # Delete the underlying status object from memory otherwise it stays alive
    530     # as there is a reference to status from this from the traceback due to

UnknownError: OSError: Unable to open file (unable to lock file, errno = 35, error message = 'Resource temporarily unavailable')
Traceback (most recent call last):

  File "/usr/local/lib/python3.7/site-packages/tensorflow/python/ops/script_ops.py", line 207, in __call__
    ret = func(*args)

  File "/usr/local/lib/python3.7/site-packages/tensorflow/python/data/ops/dataset_ops.py", line 449, in generator_py_func
    values = next(generator_state.get_iterator(iterator_id))

  File "/Users/ghafran/git/KerasPersonLab/tf_data_generator.py", line 85, in data_gen
    h5 = h5py.File(config.H5_DATASET, 'r')

  File "/usr/local/lib/python3.7/site-packages/h5py/_hl/files.py", line 394, in __init__
    swmr=swmr)

  File "/usr/local/lib/python3.7/site-packages/h5py/_hl/files.py", line 170, in make_fid
    fid = h5f.open(name, flags, fapl=fapl)

  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/h5f.pyx", line 85, in h5py.h5f.open

OSError: Unable to open file (unable to lock file, errno = 35, error message = 'Resource temporarily unavailable')


	 [[{{node PyFunc}}]]
	 [[{{node IteratorGetNext}}]]