def restore_from_checkpoint(self, checkpoint):
'''
Restores the MinibatchSource state from the specified checkpoint.
Args:
checkpoint (dict): checkpoint to restore from
'''
super(MinibatchSource, self).restore_from_checkpoint(_py_dict_to_cntk_dict(checkpoint))
def restore_from_checkpoint(self, checkpoint):
'''
Restores the MinibatchSource state from the specified checkpoint.
Args:
checkpoint (dict): checkpoint to restore from
'''
super(MinibatchSource, self).restore_from_checkpoint(_py_dict_to_cntk_dict(checkpoint))
def save_checkpoint(self, filename, external_state={}):
'''
Saves a checkpoint of the model and other Trainer state at the
specified file location.
In distributed environment the checkpointing is done by
the main worker.
Args:
filename (str): filename to store the checkpoint.
'''
super(Trainer, self).save_checkpoint(filename, _py_dict_to_cntk_dict(external_state))
def save_checkpoint(self, filename, external_state={}):
'''
Saves a checkpoint of the model and other Trainer state at the
specified file location.
In distributed environment the checkpointing is done by
the main worker.
Args:
filename (str): filename to store the checkpoint.
'''
super(Trainer,
self).save_checkpoint(filename,
_py_dict_to_cntk_dict(external_state))
