Struct burn_tensor::Float

pub struct Float;

Trait Implementations

impl<B: Backend> BasicOps<B> for Float

type Elem = <B as Backend>::FloatElem

fn empty<const D: usize>( shape: Shape<D>, device: &B::Device ) -> Self::Primitive<D>

fn shape<const D: usize>(tensor: &Self::Primitive<D>) -> Shape<D>

fn reshape<const D1: usize, const D2: usize>( tensor: Self::Primitive<D1>, shape: Shape<D2> ) -> Self::Primitive<D2>

fn index<const D1: usize, const D2: usize>( tensor: Self::Primitive<D1>, indexes: [Range<usize>; D2] ) -> Self::Primitive<D1>

fn index_assign<const D1: usize, const D2: usize>( tensor: Self::Primitive<D1>, indexes: [Range<usize>; D2], value: Self::Primitive<D1> ) -> Self::Primitive<D1>

fn device<const D: usize>(tensor: &Self::Primitive<D>) -> <B as Backend>::Device

fn to_device<const D: usize>( tensor: Self::Primitive<D>, device: &<B as Backend>::Device ) -> Self::Primitive<D>

fn into_data<const D: usize>(tensor: Self::Primitive<D>) -> Data<Self::Elem, D>

fn from_data<const D: usize>( data: Data<Self::Elem, D>, device: &B::Device ) -> Self::Primitive<D>

fn repeat<const D: usize>( tensor: Self::Primitive<D>, dim: usize, times: usize ) -> Self::Primitive<D>

fn cat<const D: usize>( vectors: Vec<Self::Primitive<D>>, dim: usize ) -> Self::Primitive<D>

fn equal<const D: usize>( lhs: Self::Primitive<D>, rhs: Self::Primitive<D> ) -> Tensor<B, D, Bool>

fn equal_elem<const D: usize>( lhs: Self::Primitive<D>, rhs: Self::Elem ) -> Tensor<B, D, Bool>

fn elem_type_name() -> &'static str

impl Clone for Float

fn clone(&self) -> Float

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for Float

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

Formats the value using the given formatter.

impl<B: Backend> Numeric<B> for Float

fn add<const D: usize>( lhs: Self::Primitive<D>, rhs: Self::Primitive<D> ) -> <Float as TensorKind<B>>::Primitive<D>

fn add_scalar<const D: usize, E: ElementConversion>( lhs: Self::Primitive<D>, rhs: E ) -> Self::Primitive<D>

fn sub<const D: usize>( lhs: Self::Primitive<D>, rhs: Self::Primitive<D> ) -> <Float as TensorKind<B>>::Primitive<D>

fn sub_scalar<const D: usize, E: ElementConversion>( lhs: Self::Primitive<D>, rhs: E ) -> Self::Primitive<D>

fn div<const D: usize>( lhs: Self::Primitive<D>, rhs: Self::Primitive<D> ) -> <Float as TensorKind<B>>::Primitive<D>

fn div_scalar<const D: usize, E: ElementConversion>( lhs: Self::Primitive<D>, rhs: E ) -> Self::Primitive<D>

fn mul<const D: usize>( lhs: Self::Primitive<D>, rhs: Self::Primitive<D> ) -> <Float as TensorKind<B>>::Primitive<D>

fn mul_scalar<const D: usize, E: ElementConversion>( lhs: Self::Primitive<D>, rhs: E ) -> Self::Primitive<D>

fn neg<const D: usize>(tensor: Self::Primitive<D>) -> Self::Primitive<D>

fn zeros<const D: usize>( shape: Shape<D>, device: &B::Device ) -> Self::Primitive<D>

fn ones<const D: usize>( shape: Shape<D>, device: &B::Device ) -> Self::Primitive<D>

fn sum<const D: usize>(tensor: Self::Primitive<D>) -> Self::Primitive<1>

fn sum_dim<const D: usize>( tensor: Self::Primitive<D>, dim: usize ) -> Self::Primitive<D>

fn mean<const D: usize>(tensor: Self::Primitive<D>) -> Self::Primitive<1>

fn mean_dim<const D: usize>( tensor: Self::Primitive<D>, dim: usize ) -> Self::Primitive<D>

fn greater<const D: usize>( lhs: Self::Primitive<D>, rhs: Self::Primitive<D> ) -> Tensor<B, D, Bool>

fn greater_elem<const D: usize>( lhs: Self::Primitive<D>, rhs: Self::Elem ) -> Tensor<B, D, Bool>

fn greater_equal<const D: usize>( lhs: Self::Primitive<D>, rhs: Self::Primitive<D> ) -> Tensor<B, D, Bool>

fn greater_equal_elem<const D: usize>( lhs: Self::Primitive<D>, rhs: Self::Elem ) -> Tensor<B, D, Bool>

fn lower<const D: usize>( lhs: Self::Primitive<D>, rhs: Self::Primitive<D> ) -> Tensor<B, D, Bool>

fn lower_elem<const D: usize>( lhs: Self::Primitive<D>, rhs: Self::Elem ) -> Tensor<B, D, Bool>

fn lower_equal<const D: usize>( lhs: Self::Primitive<D>, rhs: Self::Primitive<D> ) -> Tensor<B, D, Bool>

fn lower_equal_elem<const D: usize>( lhs: Self::Primitive<D>, rhs: Self::Elem ) -> Tensor<B, D, Bool>

fn mask_scatter<const D: usize>( tensor: Self::Primitive<D>, mask: Tensor<B, D, Bool>, source: Self::Primitive<D> ) -> Self::Primitive<D>

fn mask_fill<const D: usize>( tensor: Self::Primitive<D>, mask: Tensor<B, D, Bool>, value: Self::Elem ) -> Self::Primitive<D>

fn index_select_dim<const D: usize>( tensor: Self::Primitive<D>, dim: usize, indexes: Tensor<B, 1, Int> ) -> Self::Primitive<D>

fn index_select_dim_assign<const D1: usize, const D2: usize>( tensor: Self::Primitive<D1>, dim: usize, indexes: Tensor<B, 1, Int>, values: Self::Primitive<D2> ) -> Self::Primitive<D1>

fn index_select<const D: usize>( tensor: Self::Primitive<D>, indexes: Tensor<B, D, Int> ) -> Self::Primitive<D>

fn index_select_assign<const D: usize>( tensor: Self::Primitive<D>, indexes: Tensor<B, D, Int>, values: Self::Primitive<D> ) -> Self::Primitive<D>

impl<B: Backend> TensorKind<B> for Float

type Primitive<const D: usize> = <B as Backend>::TensorPrimitive<D>

fn name() -> &'static str