Enum BackendTensor 

pub enum BackendTensor<B: Backend> {
    Float(B::FloatTensorPrimitive),
    Int(B::IntTensorPrimitive),
    Bool(B::BoolTensorPrimitive),
    Quantized(B::QuantizedTensorPrimitive),
}

Tensor which points to a backend tensor primitive kind.

Variants

Float(B::FloatTensorPrimitive)

Float tensor handle.

Int(B::IntTensorPrimitive)

Int tensor handle.

Bool(B::BoolTensorPrimitive)

Bool tensor handle.

Quantized(B::QuantizedTensorPrimitive)

Quantized tensor handle.

Trait Implementations

impl<B: Clone + Backend> Clone for BackendTensor<B>

where B::FloatTensorPrimitive: Clone, B::IntTensorPrimitive: Clone, B::BoolTensorPrimitive: Clone, B::QuantizedTensorPrimitive: Clone,

fn clone(&self) -> BackendTensor<B>

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl<B: Debug + Backend> Debug for BackendTensor<B>

where B::FloatTensorPrimitive: Debug, B::IntTensorPrimitive: Debug, B::BoolTensorPrimitive: Debug, B::QuantizedTensorPrimitive: Debug,

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

Formats the value using the given formatter.

impl<B: Backend> QTensorPrimitive for BackendTensor<B>

fn scheme(&self) -> &QuantScheme

Returns the quantization settings for the given tensor.

fn acc_precision(&self) -> QuantAcc

The precision used for the accumulation in various kernels.

fn propagation(&self) -> QuantPropagation

How quantization is propagated during computation.

fn default_scheme() -> QuantScheme

Returns the default tensor quantization scheme.

impl<B: Backend> TensorMetadata for BackendTensor<B>

fn dtype(&self) -> DType

The dtype of the tensor.

fn shape(&self) -> Shape

The shape of the tensor.

fn rank(&self) -> usize

The number of dimensions of the tensor.