Struct LinearOpIr 

pub struct LinearOpIr {
    pub x: TensorIr,
    pub weight: TensorIr,
    pub bias: Option<TensorIr>,
    pub out: TensorIr,
}

Fields

x: TensorIr

weight: TensorIr

bias: Option<TensorIr>

out: TensorIr

Implementations

impl LinearOpIr

pub fn create( x: TensorIr, weight: TensorIr, bias: Option<TensorIr>, new_id: impl FnOnce() -> TensorId, ) -> LinearOpIr

Create a new operation IR from the given inputs. new_id should generate a unique TensorId for the uninitialized output tensor.

Trait Implementations

impl Clone for LinearOpIr

fn clone(&self) -> LinearOpIr

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for LinearOpIr

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for LinearOpIr

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Hash for LinearOpIr

fn hash<__H: Hasher>(&self, state: &mut __H)

Feeds this value into the given Hasher.

fn hash_slice<H>(data: &[Self], state: &mut H)

where H: Hasher, Self: Sized,

Feeds a slice of this type into the given Hasher.

impl PartialEq for LinearOpIr

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

Tests for self and other values to be equal, and is used by ==.

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

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

impl Serialize for LinearOpIr

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for LinearOpIr