Enum tract_tensorflow::tfpb::tensorflow::tensor_info::Encoding

pub enum Encoding {
    Name(String),
    CooSparse(CooSparse),
    CompositeTensor(CompositeTensor),
}

Variants

Name(String)

For dense Tensors, the name of the tensor in the graph.

CooSparse(CooSparse)

There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix). Currently, TensorFlow uses only the COO encoding. This is supported and documented in the SparseTensor Python class.

CompositeTensor(CompositeTensor)

Generic encoding for CompositeTensors.

Implementations

impl Encoding

pub fn encode<B>(&self, buf: &mut B)where B: BufMut,

Encodes the message to a buffer.

pub fn merge<B>( field: &mut Option<Encoding>, tag: u32, wire_type: WireType, buf: &mut B, ctx: DecodeContext ) -> Result<(), DecodeError>where B: Buf,

Decodes an instance of the message from a buffer, and merges it into self.

pub fn encoded_len(&self) -> usize

Returns the encoded length of the message without a length delimiter.

Trait Implementations

impl Clone for Encoding

fn clone(&self) -> Encoding

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for Encoding

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl PartialEq<Encoding> for Encoding

fn eq(&self, other: &Encoding) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for Encoding