Struct TensorInputsCompilationArg

pub struct TensorInputsCompilationArg<EG: Numeric> {
    pub lhs: <Tensor<Line<EG>> as LaunchArgExpand>::CompilationArg,
    pub lhs_scale: <CubeOption<Tensor<f32>> as LaunchArgExpand>::CompilationArg,
    pub rhs: <Tensor<Line<EG>> as LaunchArgExpand>::CompilationArg,
    pub rhs_scale: <CubeOption<Tensor<f32>> as LaunchArgExpand>::CompilationArg,
}

Fields

lhs: <Tensor<Line<EG>> as LaunchArgExpand>::CompilationArg

lhs_scale: <CubeOption<Tensor<f32>> as LaunchArgExpand>::CompilationArg

rhs: <Tensor<Line<EG>> as LaunchArgExpand>::CompilationArg

rhs_scale: <CubeOption<Tensor<f32>> as LaunchArgExpand>::CompilationArg

Trait Implementations

impl<EG: Numeric> Clone for TensorInputsCompilationArg<EG>

fn clone(&self) -> Self

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl<EG: Numeric> CompilationArg for TensorInputsCompilationArg<EG>

fn dynamic_cast<Arg>(&self) -> Arg

where Arg: CompilationArg,

Compilation args should be the same even with different element types. However, it isn’t possible to enforce it with the type system. So, we make the compilation args serializable and dynamically cast them.

impl<EG: Numeric> Debug for TensorInputsCompilationArg<EG>

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

Formats the value using the given formatter.

impl<'de, EG: Numeric> Deserialize<'de> for TensorInputsCompilationArg<EG>

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl<EG: Numeric> Hash for TensorInputsCompilationArg<EG>

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<EG: Numeric> PartialEq for TensorInputsCompilationArg<EG>

fn eq(&self, other: &Self) -> 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<EG: Numeric> Serialize for TensorInputsCompilationArg<EG>

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

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl<EG: Numeric> Eq for TensorInputsCompilationArg<EG>