Enum Tensor 

pub enum Tensor {
    Float(TensorStorage<f32>),
    Double(TensorStorage<f64>),
    String(TensorStorage<String>),
    I8(TensorStorage<i8>),
    I16(TensorStorage<i16>),
    I32(TensorStorage<i32>),
    I64(TensorStorage<i64>),
    U8(TensorStorage<u8>),
    U16(TensorStorage<u16>),
    U32(TensorStorage<u32>),
    U64(TensorStorage<u64>),
    NestedTensor(Vec<Tensor>),
}

TODO: We should to manually implement serialization and not depend on ndarray’s serialization staying the same. Or just pin to a specific ndarray version

Variants

Float(TensorStorage<f32>)

Double(TensorStorage<f64>)

String(TensorStorage<String>)

I8(TensorStorage<i8>)

I16(TensorStorage<i16>)

I32(TensorStorage<i32>)

I64(TensorStorage<i64>)

U8(TensorStorage<u8>)

U16(TensorStorage<u16>)

U32(TensorStorage<u32>)

U64(TensorStorage<u64>)

NestedTensor(Vec<Tensor>)

A Nested Tensor / Ragged Tensor See the docs in the core carton library for more details

Trait Implementations

impl Debug for Tensor

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for Tensor

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for Tensor

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

where __S: Serializer,

Serialize this value into the given Serde serializer.