Struct googapis::google::cloud::aiplatform::v1::Tensorboard [−][src]
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,
}
Expand description
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
fn merge_field<B>(
&mut self,
tag: u32,
wire_type: WireType,
buf: &mut B,
ctx: DecodeContext
) -> Result<(), DecodeError> where
B: Buf,
Returns the encoded length of the message without a length delimiter.
Encodes the message to a buffer. Read more
Encodes the message to a newly allocated buffer.
Encodes the message with a length-delimiter to a buffer. Read more
Encodes the message with a length-delimiter to a newly allocated buffer.
Decodes an instance of the message from a buffer. Read more
fn decode_length_delimited<B>(buf: B) -> Result<Self, DecodeError> where
Self: Default,
B: Buf,
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.
Decodes an instance of the message from a buffer, and merges it into self
. Read more
Decodes a length-delimited instance of the message from buffer, and
merges it into self
. Read more
This method tests for self
and other
values to be equal, and is used
by ==
. Read more
This method tests for !=
.
Auto Trait Implementations
impl RefUnwindSafe for Tensorboard
impl Send for Tensorboard
impl Sync for Tensorboard
impl Unpin for Tensorboard
impl UnwindSafe for Tensorboard
Blanket Implementations
Mutably borrows from an owned value. Read more
Wrap the input message T
in a tonic::Request
pub fn vzip(self) -> V
Attaches the provided Subscriber
to this type, returning a
WithDispatch
wrapper. Read more
Attaches the current default Subscriber
to this type, returning a
WithDispatch
wrapper. Read more