Struct TensorIr 

pub struct TensorIr {
    pub id: TensorId,
    pub shape: Shape,
    pub status: TensorStatus,
    pub dtype: DType,
}

A tensor definition represents a snapshot of a tensor when it was used.

Example

A tensor that is used multiple times has its status updated for each operation.

1. Status::NotInit
2. Status::ReadOnly
3. Status::ReadOnly
4. Status::ReadWrite

Fields

id: TensorId

The tensor id.

shape: Shape

The shape of the tensor.

status: TensorStatus

The status of the tensor when it was used.

dtype: DType

The type of the tensor.

Implementations

impl TensorIr

pub fn uninit(id: TensorId, shape: Shape, dtype: DType) -> Self

Create a new tensor that is not already initialized.

Trait Implementations

impl Clone for TensorIr

fn clone(&self) -> TensorIr

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for TensorIr

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for TensorIr

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Hash for TensorIr

fn hash<__H: Hasher>(&self, state: &mut __H)

Feeds this value into the given Hasher.

fn hash_slice<H>(data: &[Self], state: &mut H)

where H: Hasher, Self: Sized,

Feeds a slice of this type into the given Hasher.

impl PartialEq for TensorIr

fn eq(&self, other: &TensorIr) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Serialize for TensorIr

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl Eq for TensorIr

impl StructuralPartialEq for TensorIr