The op serializes protobuf messages provided in the input tensors.
tf.io.encode_proto(
sizes, values, field_names, message_type, descriptor_source='local://',
name=None
)
The types of the tensors in values must match the schema for the fields
specified in field_names. All the tensors in values must have a common
shape prefix, batch_shape.
The sizes tensor specifies repeat counts for each field. The repeat count
(last dimension) of a each tensor in values must be greater than or equal
to corresponding repeat count in sizes.
A message_type name must be provided to give context for the field names.
The actual message descriptor can be looked up either in the linked-in
descriptor pool or a filename provided by the caller using the
descriptor_source attribute.
For the most part, the mapping between Proto field types and TensorFlow dtypes is straightforward. However, there are a few special cases:
A proto field that contains a submessage or group can only be converted
to DT_STRING (the serialized submessage). This is to reduce the complexity
of the API. The resulting string can be used as input to another instance of
the decode_proto op.
TensorFlow lacks support for unsigned integers. The ops represent uint64
types as a DT_INT64 with the same twos-complement bit pattern (the obvious
way). Unsigned int32 values can be represented exactly by specifying type
DT_INT64, or using twos-complement if the caller specifies DT_INT32 in
the output_types attribute.
The descriptor_source attribute selects the source of protocol
descriptors to consult when looking up message_type. This may be:
An empty string or "local://", in which case protocol descriptors are created for C++ (not Python) proto definitions linked to the binary.
A file, in which case protocol descriptors are created from the file,
which is expected to contain a FileDescriptorSet serialized as a string.
NOTE: You can build a descriptor_source file using the --descriptor_set_out
and --include_imports options to the protocol compiler protoc.
A "bytes://<bytes>,
which is expected to be a FileDescriptorSet serialized as a string.
sizes: A Tensor of type int32.
Tensor of int32 with shape [batch_shape, len(field_names)].values: A list of Tensor objects.
List of tensors containing values for the corresponding field.field_names: A list of strings.
List of strings containing proto field names.message_type: A string. Name of the proto message type to decode.descriptor_source: An optional string. Defaults to "local://".name: A name for the operation (optional).A Tensor of type string.