[−][src]Trait tensorflow::TensorType

pub trait TensorType: Default + Clone + Display + Debug + 'static {
    fn data_type() -> DataType;
    fn zero() -> Self;
    fn one() -> Self;
    fn is_repr_c() -> bool;
    fn unpack(data: &[u8], count: usize) -> Result<Vec<Self>>;
    fn packed_size(data: &[Self]) -> usize;
    fn pack(data: &[Self], buffer: &mut [u8]) -> Result<()>;
}

A Rust type that maps to a DataType.

Currently, all implementors must not implement Drop (or transitively contain anything that does) and must be bit-for-bit compatible with the corresponding C type. Clients must not implement this trait.

This trait doesn't require num::Zero or num::One because some tensor types (such as bool and String) don't implement them and we need to supply custom implementations.

Required methods

`fn data_type() -> DataType`

Returns the DataType that corresponds to this type.

`fn zero() -> Self`

Returns the zero value.

`fn one() -> Self`

Returns the one value.

`fn is_repr_c() -> bool`

Return true if the data has the same representation in C and Rust and can be written/read directly.

`fn unpack(data: &[u8], count: usize) -> Result<Vec<Self>>`

Unpacks data from C. Returns an error if is_repr_c() is true for this type or some other error occurred.

`fn packed_size(data: &[Self]) -> usize`

Returns the number of bytes in the packed representation. If is_repr_c() returns true, this will return 0.

`fn pack(data: &[Self], buffer: &mut [u8]) -> Result<()>`

Packs data for sending to C. Returns an error if is_repr_c() returns true for this type or some other error occurred. The size of the buffer must be at least as large as the value returned by packed_size(data).

Loading content...

[−][src]Trait tensorflow::TensorType

Required methods

fn data_type() -> DataType

fn zero() -> Self

fn one() -> Self

fn is_repr_c() -> bool

fn unpack(data: &[u8], count: usize) -> Result<Vec<Self>>

fn packed_size(data: &[Self]) -> usize

fn pack(data: &[Self], buffer: &mut [u8]) -> Result<()>

Implementations on Foreign Types

impl TensorType for f32[src]

type InnerType = TensorDataCRepr<f32>

fn data_type() -> DataType[src]

fn zero() -> Self[src]

fn one() -> Self[src]

fn is_repr_c() -> bool[src]

fn unpack(_data: &[u8], _count: usize) -> Result<Vec<Self>>[src]

fn packed_size(_data: &[Self]) -> usize[src]

fn pack(_data: &[Self], _buffer: &mut [u8]) -> Result<()>[src]

impl TensorType for f64[src]

type InnerType = TensorDataCRepr<f64>

fn data_type() -> DataType[src]

fn zero() -> Self[src]

fn one() -> Self[src]

fn is_repr_c() -> bool[src]

fn unpack(_data: &[u8], _count: usize) -> Result<Vec<Self>>[src]

fn packed_size(_data: &[Self]) -> usize[src]

fn pack(_data: &[Self], _buffer: &mut [u8]) -> Result<()>[src]

impl TensorType for i32[src]

type InnerType = TensorDataCRepr<i32>

fn data_type() -> DataType[src]

fn zero() -> Self[src]

fn one() -> Self[src]

fn is_repr_c() -> bool[src]

fn unpack(_data: &[u8], _count: usize) -> Result<Vec<Self>>[src]

fn packed_size(_data: &[Self]) -> usize[src]

fn pack(_data: &[Self], _buffer: &mut [u8]) -> Result<()>[src]

impl TensorType for u8[src]

type InnerType = TensorDataCRepr<u8>

fn data_type() -> DataType[src]

fn zero() -> Self[src]

fn one() -> Self[src]

fn is_repr_c() -> bool[src]

fn unpack(_data: &[u8], _count: usize) -> Result<Vec<Self>>[src]

fn packed_size(_data: &[Self]) -> usize[src]

fn pack(_data: &[Self], _buffer: &mut [u8]) -> Result<()>[src]

impl TensorType for u16[src]

type InnerType = TensorDataCRepr<u16>

fn data_type() -> DataType[src]

fn zero() -> Self[src]

fn one() -> Self[src]

fn is_repr_c() -> bool[src]

fn unpack(_data: &[u8], _count: usize) -> Result<Vec<Self>>[src]

fn packed_size(_data: &[Self]) -> usize[src]

fn pack(_data: &[Self], _buffer: &mut [u8]) -> Result<()>[src]

impl TensorType for u32[src]

type InnerType = TensorDataCRepr<u32>

fn data_type() -> DataType[src]

fn zero() -> Self[src]

fn one() -> Self[src]

fn is_repr_c() -> bool[src]

fn unpack(_data: &[u8], _count: usize) -> Result<Vec<Self>>[src]

fn packed_size(_data: &[Self]) -> usize[src]

fn pack(_data: &[Self], _buffer: &mut [u8]) -> Result<()>[src]

impl TensorType for u64[src]

type InnerType = TensorDataCRepr<u64>

fn data_type() -> DataType[src]

fn zero() -> Self[src]

fn one() -> Self[src]

fn is_repr_c() -> bool[src]

fn unpack(_data: &[u8], _count: usize) -> Result<Vec<Self>>[src]

fn packed_size(_data: &[Self]) -> usize[src]

fn pack(_data: &[Self], _buffer: &mut [u8]) -> Result<()>[src]

impl TensorType for i16[src]

type InnerType = TensorDataCRepr<i16>

fn data_type() -> DataType[src]

fn zero() -> Self[src]

fn one() -> Self[src]

fn is_repr_c() -> bool[src]

fn unpack(_data: &[u8], _count: usize) -> Result<Vec<Self>>[src]

`fn data_type() -> DataType`

`fn zero() -> Self`

`fn one() -> Self`

`fn is_repr_c() -> bool`

`fn unpack(data: &[u8], count: usize) -> Result<Vec<Self>>`

`fn packed_size(data: &[Self]) -> usize`

`fn pack(data: &[Self], buffer: &mut [u8]) -> Result<()>`

`impl TensorType for f32`[src]

`type InnerType = TensorDataCRepr<f32>`

`fn data_type() -> DataType`[src]

`fn zero() -> Self`[src]

`fn one() -> Self`[src]

`fn is_repr_c() -> bool`[src]

`fn unpack(_data: &[u8], _count: usize) -> Result<Vec<Self>>`[src]

`fn packed_size(_data: &[Self]) -> usize`[src]

`fn pack(_data: &[Self], _buffer: &mut [u8]) -> Result<()>`[src]

`impl TensorType for f64`[src]

`type InnerType = TensorDataCRepr<f64>`

`fn data_type() -> DataType`[src]

`fn zero() -> Self`[src]

`fn one() -> Self`[src]

`fn is_repr_c() -> bool`[src]

`fn unpack(_data: &[u8], _count: usize) -> Result<Vec<Self>>`[src]

`fn packed_size(_data: &[Self]) -> usize`[src]

`fn pack(_data: &[Self], _buffer: &mut [u8]) -> Result<()>`[src]

`impl TensorType for i32`[src]

`type InnerType = TensorDataCRepr<i32>`

`fn data_type() -> DataType`[src]

`fn zero() -> Self`[src]

`fn one() -> Self`[src]

`fn is_repr_c() -> bool`[src]

`fn unpack(_data: &[u8], _count: usize) -> Result<Vec<Self>>`[src]

`fn packed_size(_data: &[Self]) -> usize`[src]

`fn pack(_data: &[Self], _buffer: &mut [u8]) -> Result<()>`[src]

`impl TensorType for u8`[src]

`type InnerType = TensorDataCRepr<u8>`

`fn data_type() -> DataType`[src]

`fn zero() -> Self`[src]

`fn one() -> Self`[src]

`fn is_repr_c() -> bool`[src]

`fn unpack(_data: &[u8], _count: usize) -> Result<Vec<Self>>`[src]

`fn packed_size(_data: &[Self]) -> usize`[src]

`fn pack(_data: &[Self], _buffer: &mut [u8]) -> Result<()>`[src]

`impl TensorType for u16`[src]

`type InnerType = TensorDataCRepr<u16>`

`fn data_type() -> DataType`[src]

`fn zero() -> Self`[src]

`fn one() -> Self`[src]

`fn is_repr_c() -> bool`[src]

`fn unpack(_data: &[u8], _count: usize) -> Result<Vec<Self>>`[src]

`fn packed_size(_data: &[Self]) -> usize`[src]

`fn pack(_data: &[Self], _buffer: &mut [u8]) -> Result<()>`[src]

`impl TensorType for u32`[src]

`type InnerType = TensorDataCRepr<u32>`

`fn data_type() -> DataType`[src]

`fn zero() -> Self`[src]

`fn one() -> Self`[src]

`fn is_repr_c() -> bool`[src]

`fn unpack(_data: &[u8], _count: usize) -> Result<Vec<Self>>`[src]

`fn packed_size(_data: &[Self]) -> usize`[src]

`fn pack(_data: &[Self], _buffer: &mut [u8]) -> Result<()>`[src]

`impl TensorType for u64`[src]

`type InnerType = TensorDataCRepr<u64>`

`fn data_type() -> DataType`[src]

`fn zero() -> Self`[src]

`fn one() -> Self`[src]

`fn is_repr_c() -> bool`[src]

`fn unpack(_data: &[u8], _count: usize) -> Result<Vec<Self>>`[src]

`fn packed_size(_data: &[Self]) -> usize`[src]

`fn pack(_data: &[Self], _buffer: &mut [u8]) -> Result<()>`[src]

`impl TensorType for i16`[src]

`type InnerType = TensorDataCRepr<i16>`

`fn data_type() -> DataType`[src]

`fn zero() -> Self`[src]

`fn one() -> Self`[src]

`fn is_repr_c() -> bool`[src]

`fn unpack(_data: &[u8], _count: usize) -> Result<Vec<Self>>`[src]

`fn packed_size(_data: &[Self]) -> usize`[src]

`fn pack(_data: &[Self], _buffer: &mut [u8]) -> Result<()>`[src]

`impl TensorType for i8`[src]