Struct tensorflow::Function

pub struct Function { /* fields omitted */ }

Function is a grouping of operations with defined inputs and outputs. Once created and added to graphs, functions can be invoked by creating an operation whose operation type matches the function name.

Methods

impl Function

pub fn to_function_def(&self) -> Result<Vec<u8>>

Returns a serialized representation of the function (as a FunctionDef protocol message).

May fail on very large graphs in the future.

pub fn import_function_def(proto: &[u8]) -> Result<Function>

Construct and return the function whose FunctionDef representation is serialized in proto. Returns a newly created Function instance.

pub fn set_attr_value_proto(
    &mut self,
    attr_name: &str,
    proto: &[u8]
) -> Result<()>

Sets function attribute named attr_name to value stored in proto. If this attribute is already set to another value, it is overriden. proto should be a sequence of bytes representing a binary serialization of an AttrValue protocol buffer.

pub fn get_attr_value_proto(&self, attr_name: &str) -> Result<Vec<u8>>

Returns the binary-serialized AttrValue proto representation of the value of the attr_name attr of the function. If attr_name attribute is not present, returns an error.

pub fn get_name(&self) -> Result<String, Utf8Error>

Returns the name of the graph function.

Trait Implementations

impl Drop for Function

fn drop(&mut self)

Executes the destructor for this type.

impl Debug for Function

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

Formats the value using the given formatter.