REST Resource: projects.locations.tensorboards.experiments.runs.timeSeries

Resource: TensorboardTimeSeries

TensorboardTimeSeries maps to times series produced in training runs

Fields
name string

Output only. name of the TensorboardTimeSeries.

displayName string

Required. user provided name of this TensorboardTimeSeries. This value should be unique among all TensorboardTimeSeries resources belonging to the same TensorboardRun resource (parent resource).

description string

description of this TensorboardTimeSeries.

valueType enum (ValueType)

Required. Immutable. type of TensorboardTimeSeries value.

createTime string (Timestamp format)

Output only. timestamp when this TensorboardTimeSeries was created.

A timestamp in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits. Examples: "2014-10-02T15:01:23Z" and "2014-10-02T15:01:23.045123456Z".

updateTime string (Timestamp format)

Output only. timestamp when this TensorboardTimeSeries was last updated.

A timestamp in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits. Examples: "2014-10-02T15:01:23Z" and "2014-10-02T15:01:23.045123456Z".

etag string

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

pluginName string

Immutable. name of the plugin this time series pertain to. Such as Scalar, Tensor, blob

pluginData string (bytes format)

data of the current plugin, with the size limited to 65KB.

A base64-encoded string.

metadata object (Metadata)

Output only. Scalar, Tensor, or blob metadata for this TensorboardTimeSeries.

JSON representation 
{
  "name": string,
  "displayName": string,
  "description": string,
  "valueType": enum (ValueType),
  "createTime": string,
  "updateTime": string,
  "etag": string,
  "pluginName": string,
  "pluginData": string,
  "metadata": {
    object (Metadata)
  }
}

ValueType

An enum representing the value type of a TensorboardTimeSeries.

Enums
VALUE_TYPE_UNSPECIFIED The value type is unspecified.
SCALAR Used for TensorboardTimeSeries that is a list of scalars. E.g. accuracy of a model over epochs/time.
TENSOR Used for TensorboardTimeSeries that is a list of tensors. E.g. histograms of weights of layer in a model over epoch/time.
BLOB_SEQUENCE Used for TensorboardTimeSeries that is a list of blob sequences. E.g. set of sample images with labels over epochs/time.

Metadata

Describes metadata for a TensorboardTimeSeries.

Fields
maxStep string (int64 format)

Output only. Max step index of all data points within a TensorboardTimeSeries.

maxWallTime string (Timestamp format)

Output only. Max wall clock timestamp of all data points within a TensorboardTimeSeries.

A timestamp in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits. Examples: "2014-10-02T15:01:23Z" and "2014-10-02T15:01:23.045123456Z".

maxBlobSequenceLength string (int64 format)

Output only. The largest blob sequence length (number of blobs) of all data points in this time series, if its ValueType is BLOB_SEQUENCE.

JSON representation 
{
  "maxStep": string,
  "maxWallTime": string,
  "maxBlobSequenceLength": string
}

Methods

create

 Creates a TensorboardTimeSeries.

delete

 Deletes a TensorboardTimeSeries.

exportTensorboardTimeSeries

 Exports a TensorboardTimeSeries' data.

get

 Gets a TensorboardTimeSeries.

list

 Lists TensorboardTimeSeries in a Location.

patch

 Updates a TensorboardTimeSeries.

read

 Reads a TensorboardTimeSeries' data.

readBlobData

 Gets bytes of TensorboardBlobs.