Struct google_api_proto::google::cloud::aiplatform::v1beta1::Tensor

pub struct Tensor {

    pub dtype: i32,
    pub shape: Vec<i64>,
    pub bool_val: Vec<bool>,
    pub string_val: Vec<String>,
    pub bytes_val: Vec<Bytes>,
    pub float_val: Vec<f32>,
    pub double_val: Vec<f64>,
    pub int_val: Vec<i32>,
    pub int64_val: Vec<i64>,
    pub uint_val: Vec<u32>,
    pub uint64_val: Vec<u64>,
    pub list_val: Vec<Tensor>,
    pub struct_val: BTreeMap<String, Tensor>,
    pub tensor_val: Bytes,
}

A tensor value type.

Fields

dtype: i32

The data type of tensor.

shape: Vec<i64>

Shape of the tensor.

bool_val: Vec<bool>

Type specific representations that make it easy to create tensor protos in all languages. Only the representation corresponding to “dtype” can be set. The values hold the flattened representation of the tensor in row major order.

[BOOL][google.aiplatform.master.Tensor.DataType.BOOL]

string_val: Vec<String>

[STRING][google.aiplatform.master.Tensor.DataType.STRING]

bytes_val: Vec<Bytes>

[STRING][google.aiplatform.master.Tensor.DataType.STRING]

float_val: Vec<f32>

[FLOAT][google.aiplatform.master.Tensor.DataType.FLOAT]

double_val: Vec<f64>

[DOUBLE][google.aiplatform.master.Tensor.DataType.DOUBLE]

int_val: Vec<i32>

[INT_8][google.aiplatform.master.Tensor.DataType.INT8] [INT_16][google.aiplatform.master.Tensor.DataType.INT16] [INT_32][google.aiplatform.master.Tensor.DataType.INT32]

int64_val: Vec<i64>

[INT64][google.aiplatform.master.Tensor.DataType.INT64]

uint_val: Vec<u32>

[UINT8][google.aiplatform.master.Tensor.DataType.UINT8] [UINT16][google.aiplatform.master.Tensor.DataType.UINT16] [UINT32][google.aiplatform.master.Tensor.DataType.UINT32]

uint64_val: Vec<u64>

[UINT64][google.aiplatform.master.Tensor.DataType.UINT64]

list_val: Vec<Tensor>

A list of tensor values.

struct_val: BTreeMap<String, Tensor>

A map of string to tensor.

tensor_val: Bytes

Serialized raw tensor content.

Implementations

impl Tensor

pub fn dtype(&self) -> DataType

Returns the enum value of dtype, or the default if the field is set to an invalid enum value.

pub fn set_dtype(&mut self, value: DataType)

Sets dtype to the provided enum value.

Trait Implementations

impl Clone for Tensor

fn clone(&self) -> Tensor

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for Tensor

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

Formats the value using the given formatter.

impl Default for Tensor

fn default() -> Self

Returns the “default value” for a type.

impl Message for Tensor

fn encoded_len(&self) -> usize

Returns the encoded length of the message without a length delimiter.

fn clear(&mut self)

Clears the message, resetting all fields to their default.

fn encode(&self, buf: &mut impl BufMut) -> Result<(), EncodeError>

where Self: Sized,

Encodes the message to a buffer.

fn encode_to_vec(&self) -> Vec<u8>

where Self: Sized,

Encodes the message to a newly allocated buffer.

fn encode_length_delimited( &self, buf: &mut impl BufMut, ) -> Result<(), EncodeError>

where Self: Sized,

Encodes the message with a length-delimiter to a buffer.

fn encode_length_delimited_to_vec(&self) -> Vec<u8>

where Self: Sized,

Encodes the message with a length-delimiter to a newly allocated buffer.

fn decode(buf: impl Buf) -> Result<Self, DecodeError>

where Self: Default,

Decodes an instance of the message from a buffer.

fn decode_length_delimited(buf: impl Buf) -> Result<Self, DecodeError>

where Self: Default,

Decodes a length-delimited instance of the message from the buffer.

fn merge(&mut self, buf: impl Buf) -> Result<(), DecodeError>

where Self: Sized,

Decodes an instance of the message from a buffer, and merges it into self.

fn merge_length_delimited(&mut self, buf: impl Buf) -> Result<(), DecodeError>

where Self: Sized,

Decodes a length-delimited instance of the message from buffer, and merges it into self.

impl PartialEq for Tensor

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

This method tests for self and other values to be equal, and is used by ==.

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

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

impl StructuralPartialEq for Tensor