Struct HostData 

pub struct HostData {
    pub data: HostDataVec,
    pub shape: Shape,
    pub strides: Strides,
}

Fields

data: HostDataVec

shape: Shape

strides: Strides

Implementations

impl HostData

pub fn from_tensor_handle( client: &ComputeClient<TestRuntime>, tensor_handle: TensorHandle<TestRuntime>, host_data_type: HostDataType, ) -> Self

pub fn get_f32(&self, index: &[usize]) -> f32

pub fn get_bool(&self, index: &[usize]) -> bool

pub fn get_i32(&self, index: &[usize]) -> i32

pub fn try_get_f32(&self, index: &[usize]) -> Option<f32>

Like [get_f32], but returns None if the underlying data isn’t F32 (or the index is out of bounds), instead of panicking.

pub fn try_get_i32(&self, index: &[usize]) -> Option<i32>

pub fn try_get_bool(&self, index: &[usize]) -> Option<bool>

pub fn iter_indices(&self) -> impl Iterator<Item = Vec<usize>> + '_

Iterate every logical index in row-major order, yielding the index vector.

Useful when callers want to walk a non-contiguous tensor without re-implementing the rank recursion themselves.

pub fn iter_indexed_f32(&self) -> impl Iterator<Item = (Vec<usize>, f32)> + '_

Iterate (index, f32 value) pairs in row-major order. Panics if the underlying data isn’t F32.

pub fn iter_indexed_i32(&self) -> impl Iterator<Item = (Vec<usize>, i32)> + '_

Iterate (index, i32 value) pairs in row-major order. Panics if the underlying data isn’t I32.

pub fn iter_indexed_bool(&self) -> impl Iterator<Item = (Vec<usize>, bool)> + '_

Iterate (index, bool value) pairs in row-major order. Panics if the underlying data isn’t Bool.

pub fn pretty_print(&self) -> String

Render the tensor as one or more 2-D tables.

• rank 1: a single row.
• rank 2: a table.
• rank ≥ 3: one labeled table per combination of leading-dim indices (the last two dims are always the row/col axes).

pub fn pretty_print_slice<I>(&self, filter: I) -> String

where I: IntoIterator, I::Item: Into<DimFilter>,

Like [pretty_print], but only prints slices whose leading-dim indices match the filter. Wildcards (DimFilter::Any) iterate every value.

filter accepts both Vec<std::ops::Range<usize>> and the canonical TensorFilter (the CUBE_TEST_MODE M-K syntax).

Trait Implementations

impl Clone for HostData

fn clone(&self) -> HostData

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for HostData

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

Formats the value using the given formatter.