Struct MockTensorFactory 

pub struct MockTensorFactory;

Mock tensor factory implementing TensorFactory without any ML backend.

Trait Implementations

impl TensorFactory for MockTensorFactory

fn empty( &self, shape: &[usize], dtype: DataType, _device: Device, ) -> Result<TensorRef>

创建指定形状/数据类型的空张量（[MVP]）

fn zeros_like(&self, tensor: &TensorRef) -> Result<TensorRef>

基于已有张量创建零填充张量（[MVP]）

fn from_slice( &self, data: &[f32], shape: &[usize], _dtype: DataType, _device: Device, ) -> Result<TensorRef>

通过 slice 数据创建张量（[MVP]）

fn to_device(&self, tensor: &TensorRef, _device: Device) -> Result<TensorRef>

迁移张量到目标设备（[MVP]）

fn narrow( &self, tensor: &TensorRef, dim: usize, start: usize, length: usize, ) -> Result<TensorRef>

执行窄视图操作（[MVP]）

fn reshape(&self, tensor: &TensorRef, shape: &[usize]) -> Result<TensorRef>

reshape 张量（[MVP]）

fn zeros( &self, shape: &[usize], dtype: DataType, _device: &Device, ) -> Result<TensorRef>

Create tensor filled with zeros（[Phase 2+] 可选实现）

fn ones( &self, shape: &[usize], _dtype: DataType, _device: &Device, ) -> Result<TensorRef>

Create tensor filled with ones（[Phase 2+]）

fn uniform( &self, shape: &[usize], _low: f32, _high: f32, dtype: DataType, _device: &Device, ) -> Result<TensorRef>

Create tensor from uniform random distribution（[Phase 2+]）

fn normal( &self, shape: &[usize], _mean: f32, _std: f32, dtype: DataType, _device: &Device, ) -> Result<TensorRef>

Create tensor from normal distribution（[Phase 2+]）

fn from_tensor(&self, tensor: &TensorRef, _device: &Device) -> Result<TensorRef>

Create tensor from existing tensor reference (may involve copying)