Struct Scirs2Exec32 

pub struct Scirs2Exec32 {
    pub tensors: HashMap<String, Scirs2Tensor32>,
}

SciRS2-backed executor operating in f32 precision.

This executor mirrors Scirs2Exec but uses ArrayD<f32> for all tensor storage and computation, providing 50% memory savings compared to f64 at the cost of reduced numerical precision.

Fields

tensors: HashMap<String, Scirs2Tensor32>

Implementations

impl Scirs2Exec32

pub fn new() -> Self

Create a new, empty f32 executor.

pub fn add_tensor(&mut self, name: impl Into<String>, tensor: Scirs2Tensor32)

Insert a named tensor into the executor’s store.

pub fn get_tensor(&self, name: &str) -> Option<&Scirs2Tensor32>

Retrieve a reference to a named tensor.

Trait Implementations

impl Default for Scirs2Exec32

fn default() -> Self

Returns the “default value” for a type.

impl TlExecutor for Scirs2Exec32

type Tensor = ArrayBase<OwnedRepr<f32>, Dim<IxDynImpl>>

type Error = ExecutorError

fn einsum( &mut self, spec: &str, inputs: &[Self::Tensor], ) -> Result<Self::Tensor, Self::Error>

Execute an einsum operation on input tensors.

fn elem_op( &mut self, op: ElemOp, x: &Self::Tensor, ) -> Result<Self::Tensor, Self::Error>

Apply an element-wise unary operation.

fn elem_op_binary( &mut self, op: ElemOp, x: &Self::Tensor, y: &Self::Tensor, ) -> Result<Self::Tensor, Self::Error>

Apply an element-wise binary operation.

fn reduce( &mut self, op: ReduceOp, x: &Self::Tensor, axes: &[usize], ) -> Result<Self::Tensor, Self::Error>

Reduce a tensor along specified axes.