Class: Google::Cloud::AIPlatform::V1::GenAiTuningService::Rest::Client

Inherits:
Object
  • Object
show all
Includes:
Paths
Defined in:
lib/google/cloud/ai_platform/v1/gen_ai_tuning_service/rest/client.rb

Overview

REST client for the GenAiTuningService service.

A service for creating and managing GenAI Tuning Jobs.

Defined Under Namespace

Classes: Configuration

Instance Attribute Summary collapse

Class Method Summary collapse

Instance Method Summary collapse

Methods included from Paths

#context_path, #endpoint_path, #location_path, #model_path, #pipeline_job_path, #tuning_job_path

Constructor Details

#initialize {|config| ... } ⇒ Client

Create a new GenAiTuningService REST client object.

Examples:


# Create a client using the default configuration
client = ::Google::Cloud::AIPlatform::V1::GenAiTuningService::Rest::Client.new

# Create a client using a custom configuration
client = ::Google::Cloud::AIPlatform::V1::GenAiTuningService::Rest::Client.new do |config|
  config.timeout = 10.0
end

Yields:

  • (config) —

    Configure the GenAiTuningService client.

Yield Parameters:



128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
 
# File 'lib/google/cloud/ai_platform/v1/gen_ai_tuning_service/rest/client.rb', line 128

def initialize
  # Create the configuration object
  @config = Configuration.new Client.configure

  # Yield the configuration if needed
  yield @config if block_given?

  # Create credentials
  credentials = @config.credentials
  # Use self-signed JWT if the endpoint is unchanged from default,
  # but only if the default endpoint does not have a region prefix.
  enable_self_signed_jwt = @config.endpoint.nil? ||
                           (@config.endpoint == Configuration::DEFAULT_ENDPOINT &&
                           !@config.endpoint.split(".").first.include?("-"))
  credentials ||= Credentials.default scope: @config.scope,
                                      enable_self_signed_jwt: enable_self_signed_jwt
  if credentials.is_a?(::String) || credentials.is_a?(::Hash)
    credentials = Credentials.new credentials, scope: @config.scope
  end

  @quota_project_id = @config.quota_project
  @quota_project_id ||= credentials.quota_project_id if credentials.respond_to? :quota_project_id

  @operations_client = ::Google::Cloud::AIPlatform::V1::GenAiTuningService::Rest::Operations.new do |config|
    config.credentials = credentials
    config.quota_project = @quota_project_id
    config.endpoint = @config.endpoint
    config.universe_domain = @config.universe_domain
  end

  @gen_ai_tuning_service_stub = ::Google::Cloud::AIPlatform::V1::GenAiTuningService::Rest::ServiceStub.new(
    endpoint: @config.endpoint,
    endpoint_template: DEFAULT_ENDPOINT_TEMPLATE,
    universe_domain: @config.universe_domain,
    credentials: credentials
  )

  @location_client = Google::Cloud::Location::Locations::Rest::Client.new do |config|
    config.credentials = credentials
    config.quota_project = @quota_project_id
    config.endpoint = @gen_ai_tuning_service_stub.endpoint
    config.universe_domain = @gen_ai_tuning_service_stub.universe_domain
    config.bindings_override = @config.bindings_override
  end

  @iam_policy_client = Google::Iam::V1::IAMPolicy::Rest::Client.new do |config|
    config.credentials = credentials
    config.quota_project = @quota_project_id
    config.endpoint = @gen_ai_tuning_service_stub.endpoint
    config.universe_domain = @gen_ai_tuning_service_stub.universe_domain
    config.bindings_override = @config.bindings_override
  end
end

Instance Attribute Details

#iam_policy_client ⇒ Google::Iam::V1::IAMPolicy::Rest::Client (readonly)

Get the associated client for mix-in of the IAMPolicy.

Returns:

  • (Google::Iam::V1::IAMPolicy::Rest::Client) 


201
202
203
 
# File 'lib/google/cloud/ai_platform/v1/gen_ai_tuning_service/rest/client.rb', line 201

def iam_policy_client
  @iam_policy_client
end

#location_client ⇒ Google::Cloud::Location::Locations::Rest::Client (readonly)

Get the associated client for mix-in of the Locations.

Returns:

  • (Google::Cloud::Location::Locations::Rest::Client) 


194
195
196
 
# File 'lib/google/cloud/ai_platform/v1/gen_ai_tuning_service/rest/client.rb', line 194

def location_client
  @location_client
end

#operations_client ⇒ ::Google::Cloud::AIPlatform::V1::GenAiTuningService::Rest::Operations (readonly)

Get the associated client for long-running operations.

Returns:



187
188
189
 
# File 'lib/google/cloud/ai_platform/v1/gen_ai_tuning_service/rest/client.rb', line 187

def operations_client
  @operations_client
end

Class Method Details

.configure {|config| ... } ⇒ Client::Configuration

Configure the GenAiTuningService Client class.

See Configuration for a description of the configuration fields.

Examples:


# Modify the configuration for all GenAiTuningService clients
::Google::Cloud::AIPlatform::V1::GenAiTuningService::Rest::Client.configure do |config|
  config.timeout = 10.0
end

Yields:

  • (config) —

    Configure the Client client.

Yield Parameters:

Returns:



66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
 
# File 'lib/google/cloud/ai_platform/v1/gen_ai_tuning_service/rest/client.rb', line 66

def self.configure
  @configure ||= begin
    namespace = ["Google", "Cloud", "AIPlatform", "V1"]
    parent_config = while namespace.any?
                      parent_name = namespace.join "::"
                      parent_const = const_get parent_name
                      break parent_const.configure if parent_const.respond_to? :configure
                      namespace.pop
                    end
    default_config = Client::Configuration.new parent_config

    default_config
  end
  yield @configure if block_given?
  @configure
end

Instance Method Details

#cancel_tuning_job(request, options = nil) ⇒ ::Google::Protobuf::Empty #cancel_tuning_job(name: nil) ⇒ ::Google::Protobuf::Empty

Cancels a TuningJob. Starts asynchronous cancellation on the TuningJob. The server makes a best effort to cancel the job, but success is not guaranteed. Clients can use GenAiTuningService.GetTuningJob or other methods to check whether the cancellation succeeded or whether the job completed despite cancellation. On successful cancellation, the TuningJob is not deleted; instead it becomes a job with a TuningJob.error value with a google.rpc.Status.code of 1, corresponding to Code.CANCELLED, and TuningJob.state is set to CANCELLED.

Examples:

Basic example

require "google/cloud/ai_platform/v1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AIPlatform::V1::GenAiTuningService::Rest::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AIPlatform::V1::CancelTuningJobRequest.new

# Call the cancel_tuning_job method.
result = client.cancel_tuning_job request

# The returned object is of type Google::Protobuf::Empty.
p result

Overloads:

  • #cancel_tuning_job(request, options = nil) ⇒ ::Google::Protobuf::Empty

    Pass arguments to cancel_tuning_job via a request object, either of type CancelTuningJobRequest or an equivalent Hash.

    Parameters:

    • request (::Google::Cloud::AIPlatform::V1::CancelTuningJobRequest, ::Hash) —

      A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.

    • options (::Gapic::CallOptions, ::Hash) (defaults to: nil) —

      Overrides the default settings for this call, e.g, timeout, retries etc. Optional.

  • #cancel_tuning_job(name: nil) ⇒ ::Google::Protobuf::Empty

    Pass arguments to cancel_tuning_job via keyword arguments. Note that at least one keyword argument is required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash as a request object (see above).

    Parameters:

    • name (::String) (defaults to: nil) —

      Required. The name of the TuningJob to cancel. Format: projects/{project}/locations/{location}/tuningJobs/{tuning_job}

Yields:

  • (result, operation) —

    Access the result along with the TransportOperation object

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the REST call is aborted.



516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
 
# File 'lib/google/cloud/ai_platform/v1/gen_ai_tuning_service/rest/client.rb', line 516

def cancel_tuning_job request, options = nil
  raise ::ArgumentError, "request must be provided" if request.nil?

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::CancelTuningJobRequest

  # Converts hash and nil to an options object
  options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h

  # Customize the options with defaults
  call_metadata = @config.rpcs.cancel_tuning_job.metadata.to_h

  # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
  call_metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
    lib_name: @config.lib_name, lib_version: @config.lib_version,
    gapic_version: ::Google::Cloud::AIPlatform::V1::VERSION,
    transports_version_send: [:rest]

  call_metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
  call_metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  options.apply_defaults timeout:      @config.rpcs.cancel_tuning_job.timeout,
                         metadata:     call_metadata,
                         retry_policy: @config.rpcs.cancel_tuning_job.retry_policy

  options.apply_defaults timeout:      @config.timeout,
                         metadata:     @config.metadata,
                         retry_policy: @config.retry_policy

  @gen_ai_tuning_service_stub.cancel_tuning_job request, options do |result, operation|
    yield result, operation if block_given?
    return result
  end
rescue ::Gapic::Rest::Error => e
  raise ::Google::Cloud::Error.from_error(e)
end

#configure {|config| ... } ⇒ Client::Configuration

Configure the GenAiTuningService Client instance.

The configuration is set to the derived mode, meaning that values can be changed, but structural changes (adding new fields, etc.) are not allowed. Structural changes should be made on configure.

See Configuration for a description of the configuration fields.

Yields:

  • (config) —

    Configure the Client client.

Yield Parameters:

Returns:



98
99
100
101
 
# File 'lib/google/cloud/ai_platform/v1/gen_ai_tuning_service/rest/client.rb', line 98

def configure
  yield @config if block_given?
  @config
end

#create_tuning_job(request, options = nil) ⇒ ::Google::Cloud::AIPlatform::V1::TuningJob #create_tuning_job(parent: nil, tuning_job: nil) ⇒ ::Google::Cloud::AIPlatform::V1::TuningJob

Creates a TuningJob. A created TuningJob right away will be attempted to be run.

Examples:

Basic example

require "google/cloud/ai_platform/v1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AIPlatform::V1::GenAiTuningService::Rest::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AIPlatform::V1::CreateTuningJobRequest.new

# Call the create_tuning_job method.
result = client.create_tuning_job request

# The returned object is of type Google::Cloud::AIPlatform::V1::TuningJob.
p result

Overloads:

  • #create_tuning_job(request, options = nil) ⇒ ::Google::Cloud::AIPlatform::V1::TuningJob

    Pass arguments to create_tuning_job via a request object, either of type CreateTuningJobRequest or an equivalent Hash.

    Parameters:

    • request (::Google::Cloud::AIPlatform::V1::CreateTuningJobRequest, ::Hash) —

      A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.

    • options (::Gapic::CallOptions, ::Hash) (defaults to: nil) —

      Overrides the default settings for this call, e.g, timeout, retries etc. Optional.

  • #create_tuning_job(parent: nil, tuning_job: nil) ⇒ ::Google::Cloud::AIPlatform::V1::TuningJob

    Pass arguments to create_tuning_job via keyword arguments. Note that at least one keyword argument is required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash as a request object (see above).

    Parameters:

    • parent (::String) (defaults to: nil) —

      Required. The resource name of the Location to create the TuningJob in. Format: projects/{project}/locations/{location}

    • tuning_job (::Google::Cloud::AIPlatform::V1::TuningJob, ::Hash) (defaults to: nil) —

      Required. The TuningJob to create.

Yields:

  • (result, operation) —

    Access the result along with the TransportOperation object

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the REST call is aborted.



252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
 
# File 'lib/google/cloud/ai_platform/v1/gen_ai_tuning_service/rest/client.rb', line 252

def create_tuning_job request, options = nil
  raise ::ArgumentError, "request must be provided" if request.nil?

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::CreateTuningJobRequest

  # Converts hash and nil to an options object
  options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h

  # Customize the options with defaults
  call_metadata = @config.rpcs.create_tuning_job.metadata.to_h

  # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
  call_metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
    lib_name: @config.lib_name, lib_version: @config.lib_version,
    gapic_version: ::Google::Cloud::AIPlatform::V1::VERSION,
    transports_version_send: [:rest]

  call_metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
  call_metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  options.apply_defaults timeout:      @config.rpcs.create_tuning_job.timeout,
                         metadata:     call_metadata,
                         retry_policy: @config.rpcs.create_tuning_job.retry_policy

  options.apply_defaults timeout:      @config.timeout,
                         metadata:     @config.metadata,
                         retry_policy: @config.retry_policy

  @gen_ai_tuning_service_stub.create_tuning_job request, options do |result, operation|
    yield result, operation if block_given?
    return result
  end
rescue ::Gapic::Rest::Error => e
  raise ::Google::Cloud::Error.from_error(e)
end

#get_tuning_job(request, options = nil) ⇒ ::Google::Cloud::AIPlatform::V1::TuningJob #get_tuning_job(name: nil) ⇒ ::Google::Cloud::AIPlatform::V1::TuningJob

Gets a TuningJob.

Examples:

Basic example

require "google/cloud/ai_platform/v1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AIPlatform::V1::GenAiTuningService::Rest::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AIPlatform::V1::GetTuningJobRequest.new

# Call the get_tuning_job method.
result = client.get_tuning_job request

# The returned object is of type Google::Cloud::AIPlatform::V1::TuningJob.
p result

Overloads:

  • #get_tuning_job(request, options = nil) ⇒ ::Google::Cloud::AIPlatform::V1::TuningJob

    Pass arguments to get_tuning_job via a request object, either of type Google::Cloud::AIPlatform::V1::GetTuningJobRequest or an equivalent Hash.

    Parameters:

    • request (::Google::Cloud::AIPlatform::V1::GetTuningJobRequest, ::Hash) —

      A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.

    • options (::Gapic::CallOptions, ::Hash) (defaults to: nil) —

      Overrides the default settings for this call, e.g, timeout, retries etc. Optional.

  • #get_tuning_job(name: nil) ⇒ ::Google::Cloud::AIPlatform::V1::TuningJob

    Pass arguments to get_tuning_job via keyword arguments. Note that at least one keyword argument is required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash as a request object (see above).

    Parameters:

    • name (::String) (defaults to: nil) —

      Required. The name of the TuningJob resource. Format: projects/{project}/locations/{location}/tuningJobs/{tuning_job}

Yields:

  • (result, operation) —

    Access the result along with the TransportOperation object

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the REST call is aborted.



332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
 
# File 'lib/google/cloud/ai_platform/v1/gen_ai_tuning_service/rest/client.rb', line 332

def get_tuning_job request, options = nil
  raise ::ArgumentError, "request must be provided" if request.nil?

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::GetTuningJobRequest

  # Converts hash and nil to an options object
  options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h

  # Customize the options with defaults
  call_metadata = @config.rpcs.get_tuning_job.metadata.to_h

  # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
  call_metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
    lib_name: @config.lib_name, lib_version: @config.lib_version,
    gapic_version: ::Google::Cloud::AIPlatform::V1::VERSION,
    transports_version_send: [:rest]

  call_metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
  call_metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  options.apply_defaults timeout:      @config.rpcs.get_tuning_job.timeout,
                         metadata:     call_metadata,
                         retry_policy: @config.rpcs.get_tuning_job.retry_policy

  options.apply_defaults timeout:      @config.timeout,
                         metadata:     @config.metadata,
                         retry_policy: @config.retry_policy

  @gen_ai_tuning_service_stub.get_tuning_job request, options do |result, operation|
    yield result, operation if block_given?
    return result
  end
rescue ::Gapic::Rest::Error => e
  raise ::Google::Cloud::Error.from_error(e)
end

#list_tuning_jobs(request, options = nil) ⇒ ::Gapic::Rest::PagedEnumerable<::Google::Cloud::AIPlatform::V1::TuningJob> #list_tuning_jobs(parent: nil, filter: nil, page_size: nil, page_token: nil) ⇒ ::Gapic::Rest::PagedEnumerable<::Google::Cloud::AIPlatform::V1::TuningJob>

Lists TuningJobs in a Location.

Examples:

Basic example

require "google/cloud/ai_platform/v1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AIPlatform::V1::GenAiTuningService::Rest::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AIPlatform::V1::ListTuningJobsRequest.new

# Call the list_tuning_jobs method.
result = client.list_tuning_jobs request

# The returned object is of type Gapic::PagedEnumerable. You can iterate
# over elements, and API calls will be issued to fetch pages as needed.
result.each do |item|
  # Each element is of type ::Google::Cloud::AIPlatform::V1::TuningJob.
  p item
end

Overloads:

  • #list_tuning_jobs(request, options = nil) ⇒ ::Gapic::Rest::PagedEnumerable<::Google::Cloud::AIPlatform::V1::TuningJob>

    Pass arguments to list_tuning_jobs via a request object, either of type ListTuningJobsRequest or an equivalent Hash.

    Parameters:

    • request (::Google::Cloud::AIPlatform::V1::ListTuningJobsRequest, ::Hash) —

      A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.

    • options (::Gapic::CallOptions, ::Hash) (defaults to: nil) —

      Overrides the default settings for this call, e.g, timeout, retries etc. Optional.

  • #list_tuning_jobs(parent: nil, filter: nil, page_size: nil, page_token: nil) ⇒ ::Gapic::Rest::PagedEnumerable<::Google::Cloud::AIPlatform::V1::TuningJob>

    Pass arguments to list_tuning_jobs via keyword arguments. Note that at least one keyword argument is required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash as a request object (see above).

    Parameters:

    • parent (::String) (defaults to: nil) —

      Required. The resource name of the Location to list the TuningJobs from. Format: projects/{project}/locations/{location}

    • filter (::String) (defaults to: nil) —

      Optional. The standard list filter.

    • page_size (::Integer) (defaults to: nil) —

      Optional. The standard list page size.

    • page_token (::String) (defaults to: nil) —

      Optional. The standard list page token. Typically obtained via [ListTuningJob.next_page_token][] of the previous GenAiTuningService.ListTuningJob][] call.

Yields:

  • (result, operation) —

    Access the result along with the TransportOperation object

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the REST call is aborted.



424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
 
# File 'lib/google/cloud/ai_platform/v1/gen_ai_tuning_service/rest/client.rb', line 424

def list_tuning_jobs request, options = nil
  raise ::ArgumentError, "request must be provided" if request.nil?

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::ListTuningJobsRequest

  # Converts hash and nil to an options object
  options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h

  # Customize the options with defaults
  call_metadata = @config.rpcs.list_tuning_jobs.metadata.to_h

  # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
  call_metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
    lib_name: @config.lib_name, lib_version: @config.lib_version,
    gapic_version: ::Google::Cloud::AIPlatform::V1::VERSION,
    transports_version_send: [:rest]

  call_metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
  call_metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  options.apply_defaults timeout:      @config.rpcs.list_tuning_jobs.timeout,
                         metadata:     call_metadata,
                         retry_policy: @config.rpcs.list_tuning_jobs.retry_policy

  options.apply_defaults timeout:      @config.timeout,
                         metadata:     @config.metadata,
                         retry_policy: @config.retry_policy

  @gen_ai_tuning_service_stub.list_tuning_jobs request, options do |result, operation|
    result = ::Gapic::Rest::PagedEnumerable.new @gen_ai_tuning_service_stub, :list_tuning_jobs, "tuning_jobs", request, result, options
    yield result, operation if block_given?
    return result
  end
rescue ::Gapic::Rest::Error => e
  raise ::Google::Cloud::Error.from_error(e)
end

#rebase_tuned_model(request, options = nil) ⇒ ::Gapic::Operation #rebase_tuned_model(parent: nil, tuned_model_ref: nil, tuning_job: nil, artifact_destination: nil, deploy_to_same_endpoint: nil) ⇒ ::Gapic::Operation

Rebase a TunedModel. Creates a LongRunningOperation that takes a legacy Tuned GenAI model Reference and creates a TuningJob based on newly available model.

Examples:

Basic example

require "google/cloud/ai_platform/v1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AIPlatform::V1::GenAiTuningService::Rest::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AIPlatform::V1::RebaseTunedModelRequest.new

# Call the rebase_tuned_model method.
result = client.rebase_tuned_model request

# The returned object is of type Gapic::Operation. You can use it to
# check the status of an operation, cancel it, or wait for results.
# Here is how to wait for a response.
result.wait_until_done! timeout: 60
if result.response?
  p result.response
else
  puts "No response received."
end

Overloads:

  • #rebase_tuned_model(request, options = nil) ⇒ ::Gapic::Operation

    Pass arguments to rebase_tuned_model via a request object, either of type RebaseTunedModelRequest or an equivalent Hash.

    Parameters:

    • request (::Google::Cloud::AIPlatform::V1::RebaseTunedModelRequest, ::Hash) —

      A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.

    • options (::Gapic::CallOptions, ::Hash) (defaults to: nil) —

      Overrides the default settings for this call, e.g, timeout, retries etc. Optional.

  • #rebase_tuned_model(parent: nil, tuned_model_ref: nil, tuning_job: nil, artifact_destination: nil, deploy_to_same_endpoint: nil) ⇒ ::Gapic::Operation

    Pass arguments to rebase_tuned_model via keyword arguments. Note that at least one keyword argument is required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash as a request object (see above).

    Parameters:

    • parent (::String) (defaults to: nil) —

      Required. The resource name of the Location into which to rebase the Model. Format: projects/{project}/locations/{location}

    • tuned_model_ref (::Google::Cloud::AIPlatform::V1::TunedModelRef, ::Hash) (defaults to: nil) —

      Required. TunedModel reference to retrieve the legacy model information.

    • tuning_job (::Google::Cloud::AIPlatform::V1::TuningJob, ::Hash) (defaults to: nil) —

      Optional. The TuningJob to be updated. Users can use this TuningJob field to overwrite tuning configs.

    • artifact_destination (::Google::Cloud::AIPlatform::V1::GcsDestination, ::Hash) (defaults to: nil) —

      Optional. The Google Cloud Storage location to write the artifacts.

    • deploy_to_same_endpoint (::Boolean) (defaults to: nil) —

      Optional. By default, bison to gemini migration will always create new model/endpoint, but for gemini-1.0 to gemini-1.5 migration, we default deploy to the same endpoint. See details in this Section.

Yields:

  • (result, operation) —

    Access the result along with the TransportOperation object

Yield Parameters:

  • result (::Gapic::Operation)
  • operation (::Gapic::Rest::TransportOperation)

Returns:

  • (::Gapic::Operation)

Raises:

  • (::Google::Cloud::Error) —

    if the REST call is aborted.



616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
 
# File 'lib/google/cloud/ai_platform/v1/gen_ai_tuning_service/rest/client.rb', line 616

def rebase_tuned_model request, options = nil
  raise ::ArgumentError, "request must be provided" if request.nil?

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::RebaseTunedModelRequest

  # Converts hash and nil to an options object
  options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h

  # Customize the options with defaults
  call_metadata = @config.rpcs.rebase_tuned_model.metadata.to_h

  # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
  call_metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
    lib_name: @config.lib_name, lib_version: @config.lib_version,
    gapic_version: ::Google::Cloud::AIPlatform::V1::VERSION,
    transports_version_send: [:rest]

  call_metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
  call_metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  options.apply_defaults timeout:      @config.rpcs.rebase_tuned_model.timeout,
                         metadata:     call_metadata,
                         retry_policy: @config.rpcs.rebase_tuned_model.retry_policy

  options.apply_defaults timeout:      @config.timeout,
                         metadata:     @config.metadata,
                         retry_policy: @config.retry_policy

  @gen_ai_tuning_service_stub.rebase_tuned_model request, options do |result, operation|
    result = ::Gapic::Operation.new result, @operations_client, options: options
    yield result, operation if block_given?
    return result
  end
rescue ::Gapic::Rest::Error => e
  raise ::Google::Cloud::Error.from_error(e)
end

#universe_domain ⇒ String

The effective universe domain

Returns:

  • (String) 


108
109
110
 
# File 'lib/google/cloud/ai_platform/v1/gen_ai_tuning_service/rest/client.rb', line 108

def universe_domain
  @gen_ai_tuning_service_stub.universe_domain
end