Struct google_api_proto::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: BTreeMap<String, String>,
    pub etag: String,
    pub is_default: bool,
}

Tensorboard is a physical database that stores users’ training metrics. A default Tensorboard is provided in each region of a Google Cloud 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: BTreeMap<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.

is_default: bool

Used to indicate if the TensorBoard instance is the default one. Each project & region can have at most one default TensorBoard instance. Creation of a default TensorBoard instance and updating an existing TensorBoard instance to be default will mark all other TensorBoard instances (if any) as non default.

Trait Implementations

impl Clone for Tensorboard

fn clone(&self) -> Tensorboard

Returns a copy of the value.

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() -> Self

Returns the “default value” for a type.

impl Message for Tensorboard

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<B>(&self, buf: &mut B) -> Result<(), EncodeError>

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

where B: BufMut, 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<B>(buf: B) -> Result<Self, DecodeError>

where B: Buf, Self: Default,

Decodes an instance of the message from a buffer.

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

where B: Buf, Self: Default,

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

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

where B: Buf, Self: Sized,

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

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

where B: Buf, Self: Sized,

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

impl PartialEq 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: &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 Tensorboard