def deser(msg_obj, worker, acquire):
if 'owner' not in msg_obj:
raise TypeError(
"sy._LocalTensor can't deserialize a non-valid sy._LocalTensor. "
"Do you wan to call sy.FloatTensor.deser() instead?")
if msg_obj['owner'] == worker.id:
logging.warning('_LocalTensor sent to itself')
if acquire: # We need to register the info given
syft_obj = sy._LocalTensor(child=None,
parent=None,
torch_type=msg_obj['torch_type'],
owner=worker,
id=msg_obj['id'],
skip_register=True)
else: # We point at the info which generally we can't really have
# We make sure we are not creating a duplicate pointer
previous_pointer = worker.get_pointer_to(msg_obj['owner'],
msg_obj['id'])
if previous_pointer is None:
syft_obj = sy._PointerTensor(child=None,
parent=None,
torch_type=msg_obj['torch_type'],
location=msg_obj['owner'],
id_at_location=msg_obj['id'],
owner=worker,
id=None,
skip_register=True)
else:
syft_obj = previous_pointer
return syft_obj
def deser(cls, msg_obj, worker, acquire):
"""
General method for de-serializing a Syft object. Specific tensors like _PointerTensor
should overload this method.
"""
if acquire: # We need to register the info given
syft_obj = cls(child=None,
parent=None,
torch_type=msg_obj['torch_type'],
owner=worker,
id=msg_obj['id'],
skip_register=True)
if 'child' in msg_obj:
syft_child = cls.deser_routing(msg_obj['child'], worker,
acquire)
syft_obj.child = syft_child
syft_child.parent = syft_obj
else: # We point at the info which generally we can't really have
# We make sure we are not creating a duplicate pointer
previous_pointer = worker.get_pointer_to(msg_obj['owner'],
msg_obj['id'])
if previous_pointer is None:
syft_obj = sy._PointerTensor(child=None,
parent=None,
torch_type=msg_obj['torch_type'],
location=msg_obj['owner'],
id_at_location=msg_obj['id'],
owner=worker,
id=None,
skip_register=True)
else:
syft_obj = previous_pointer
return syft_obj
def deser(cls, msg_obj, worker, acquire):
# If local, we render the object or syft object
if msg_obj['location'] == worker.id:
syft_obj = worker.get_obj(msg_obj['id_at_location'])
else:
if acquire: # If there is data transmission, data being here Pointer
# We acquire the tensor pointer
previous_pointer = worker.get_pointer_to(
msg_obj['owner'], msg_obj['id'])
if previous_pointer is None:
syft_obj = cls(child=None,
parent=None,
torch_type=msg_obj['torch_type'],
location=msg_obj['location'],
id_at_location=msg_obj['id_at_location'],
owner=worker,
id=msg_obj['id'],
skip_register=True)
else:
syft_obj = previous_pointer
else: # We point at the Pointer (same part as every syft tensors)
previous_pointer = worker.get_pointer_to(
msg_obj['owner'], msg_obj['id'])
if previous_pointer is None:
syft_obj = sy._PointerTensor(
child=None,
parent=None,
torch_type=msg_obj['torch_type'],
location=msg_obj['owner'],
id_at_location=msg_obj['id'],
owner=worker,
id=None,
skip_register=True)
else:
syft_obj = previous_pointer
return syft_obj