def bufferize(worker: AbstractWorker,
placeholder: "PlaceHolder") -> PlaceholderPB:
"""Takes the attributes of a PlaceHolder and saves them in a Protobuf message.
Args:
worker: the worker doing the serialization
placeholder: a PlaceHolder.
Returns:
PlaceholderPB: a Protobuf message holding the unique attributes of the PlaceHolder.
"""
protobuf_placeholder = PlaceholderPB()
syft.serde.protobuf.proto.set_protobuf_id(protobuf_placeholder.id,
placeholder.id.value)
protobuf_placeholder.tags.extend(placeholder.tags)
if placeholder.description:
protobuf_placeholder.description = placeholder.description
if placeholder.expected_shape:
protobuf_placeholder.expected_shape.dims.extend(
placeholder.expected_shape)
return protobuf_placeholder
def _object2proto(self) -> PlaceholderPB:
"""Returns a protobuf serialization of self.
As a requirement of all objects which inherit from Serializable,
this method transforms the current object into the corresponding
Protobuf object so that it can be further serialized.
:return: returns a protobuf object
:rtype: ObjectWithID_PB
.. note::
This method is purely an internal method. Please use object.serialize() or one of
the other public serialization methods if you wish to serialize an
object.
"""
protobuf_placeholder = PlaceholderPB()
set_protobuf_id(protobuf_placeholder.id, self.id.value)
protobuf_placeholder.tags.extend(self.tags)
if self.description:
protobuf_placeholder.description = self.description
if self.expected_shape:
protobuf_placeholder.expected_shape.dims.extend(
self.expected_shape)
return protobuf_placeholder
def bufferize(worker: AbstractWorker,
tensor: "PlaceHolder") -> PlaceholderPB:
"""Takes the attributes of a PlaceHolder and saves them in a Protobuf message.
Args:
worker: the worker doing the serialization
tensor: a PlaceHolder.
Returns:
PlaceholderPB: a Protobuf message holding the unique attributes of the PlaceHolder.
"""
protobuf_placeholder = PlaceholderPB()
syft.serde.protobuf.proto.set_protobuf_id(protobuf_placeholder.id,
tensor.id)
protobuf_placeholder.tags.extend(tensor.tags)
if tensor.description:
protobuf_placeholder.description = tensor.description
return protobuf_placeholder