Struct gapi_grpc::google::cloud::aiplatform::v1beta1::Tensorboard

pub struct Tensorboard {
    pub name: String,
    pub display_name: String,
    pub description: String,
    pub encryption_spec: Option<EncryptionSpec>,
    pub blob_storage_path_prefix: String,
    pub run_count: i32,
    pub create_time: Option<Timestamp>,
    pub update_time: Option<Timestamp>,
    pub labels: HashMap<String, String>,
    pub etag: String,
}

Tensorboard is a physical database that stores users’ training metrics. A default Tensorboard is provided in each region of a GCP project. If needed users can also create extra Tensorboards in their projects.

Fields

name: String

Output only. Name of the Tensorboard. Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}

display_name: String

Required. User provided name of this Tensorboard.

description: String

Description of this Tensorboard.

encryption_spec: Option<EncryptionSpec>

Customer-managed encryption key spec for a Tensorboard. If set, this Tensorboard and all sub-resources of this Tensorboard will be secured by this key.

blob_storage_path_prefix: String

Output only. Consumer project Cloud Storage path prefix used to store blob data, which can either be a bucket or directory. Does not end with a ‘/’.

run_count: i32

Output only. The number of Runs stored in this Tensorboard.

create_time: Option<Timestamp>

Output only. Timestamp when this Tensorboard was created.

update_time: Option<Timestamp>

Output only. Timestamp when this Tensorboard was last updated.

labels: HashMap<String, String>

The labels with user-defined metadata to organize your Tensorboards.

Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. No more than 64 user labels can be associated with one Tensorboard (System labels are excluded).

See https://goo.gl/xmQnxf for more information and examples of labels. System reserved label keys are prefixed with “aiplatform.googleapis.com/” and are immutable.

etag: String

Used to perform a consistent read-modify-write updates. If not set, a blind “overwrite” update happens.

Trait Implementations

impl Clone for Tensorboard

fn clone(&self) -> Tensorboard

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for Tensorboard

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

Formats the value using the given formatter.

impl Default for Tensorboard

fn default() -> Tensorboard

Returns the “default value” for a type.

impl Message for Tensorboard

fn encode_raw<B>(&self, buf: &mut B) where
    B: BufMut, 

fn merge_field<B>(
    &mut self,
    tag: u32,
    wire_type: WireType,
    buf: &mut B,
    ctx: DecodeContext
) -> Result<(), DecodeError> where
    B: Buf, 

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.

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

Encodes the message to a buffer.

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

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

pub fn decode<B>(buf: B) -> Result<Self, DecodeError> where
    Self: Default,
    B: Buf, 

Decodes an instance of the message from a buffer.

pub fn decode_length_delimited<B>(buf: B) -> Result<Self, DecodeError> where
    Self: Default,
    B: Buf, 

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

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

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

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

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

impl PartialEq<Tensorboard> for Tensorboard

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

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

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

This method tests for !=.

impl StructuralPartialEq for Tensorboard