📄 Source: GoogleCloudAiplatformV1RaySpec.php
<?php
/*
* Copyright 2014 Google Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License"); you may not
* use this file except in compliance with the License. You may obtain a copy of
* the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
* License for the specific language governing permissions and limitations under
* the License.
*/
namespace Google\Service\Aiplatform;
class GoogleCloudAiplatformV1RaySpec extends \Google\Model
{
/**
* Optional. This will be used to indicate which resource pool will serve as
* the Ray head node(the first node within that pool). Will use the machine
* from the first workerpool as the head node by default if this field isn't
* set.
*
* @var string
*/
public $headNodeResourcePoolId;
/**
* Optional. Default image for user to choose a preferred ML framework (for
* example, TensorFlow or Pytorch) by choosing from [Vertex prebuilt
* images](https://cloud.google.com/vertex-ai/docs/training/pre-built-
* containers). Either this or the resource_pool_images is required. Use this
* field if you need all the resource pools to have the same Ray image.
* Otherwise, use the {@code resource_pool_images} field.
*
* @var string
*/
public $imageUri;
protected $rayLogsSpecType = GoogleCloudAiplatformV1RayLogsSpec::class;
protected $rayLogsSpecDataType = '';
protected $rayMetricSpecType = GoogleCloudAiplatformV1RayMetricSpec::class;
protected $rayMetricSpecDataType = '';
/**
* Optional. Required if image_uri isn't set. A map of resource_pool_id to
* prebuild Ray image if user need to use different images for different
* head/worker pools. This map needs to cover all the resource pool ids.
* Example: { "ray_head_node_pool": "head image" "ray_worker_node_pool1":
* "worker image" "ray_worker_node_pool2": "another worker image" }
*
* @var string[]
*/
public $resourcePoolImages;
/**
* Optional. This will be used to indicate which resource pool will serve as
* the Ray head node(the first node within that pool). Will use the machine
* from the first workerpool as the head node by default if this field isn't
* set.
*
* @param string $headNodeResourcePoolId
*/
public function setHeadNodeResourcePoolId($headNodeResourcePoolId)
{
$this->headNodeResourcePoolId = $headNodeResourcePoolId;
}
/**
* @return string
*/
public function getHeadNodeResourcePoolId()
{
return $this->headNodeResourcePoolId;
}
/**
* Optional. Default image for user to choose a preferred ML framework (for
* example, TensorFlow or Pytorch) by choosing from [Vertex prebuilt
* images](https://cloud.google.com/vertex-ai/docs/training/pre-built-
* containers). Either this or the resource_pool_images is required. Use this
* field if you need all the resource pools to have the same Ray image.
* Otherwise, use the {@code resource_pool_images} field.
*
* @param string $imageUri
*/
public function setImageUri($imageUri)
{
$this->imageUri = $imageUri;
}
/**
* @return string
*/
public function getImageUri()
{
return $this->imageUri;
}
/**
* Optional. OSS Ray logging configurations.
*
* @param GoogleCloudAiplatformV1RayLogsSpec $rayLogsSpec
*/
public function setRayLogsSpec(GoogleCloudAiplatformV1RayLogsSpec $rayLogsSpec)
{
$this->rayLogsSpec = $rayLogsSpec;
}
/**
* @return GoogleCloudAiplatformV1RayLogsSpec
*/
public function getRayLogsSpec()
{
return $this->rayLogsSpec;
}
/**
* Optional. Ray metrics configurations.
*
* @param GoogleCloudAiplatformV1RayMetricSpec $rayMetricSpec
*/
public function setRayMetricSpec(GoogleCloudAiplatformV1RayMetricSpec $rayMetricSpec)
{
$this->rayMetricSpec = $rayMetricSpec;
}
/**
* @return GoogleCloudAiplatformV1RayMetricSpec
*/
public function getRayMetricSpec()
{
return $this->rayMetricSpec;
}
/**
* Optional. Required if image_uri isn't set. A map of resource_pool_id to
* prebuild Ray image if user need to use different images for different
* head/worker pools. This map needs to cover all the resource pool ids.
* Example: { "ray_head_node_pool": "head image" "ray_worker_node_pool1":
* "worker image" "ray_worker_node_pool2": "another worker image" }
*
* @param string[] $resourcePoolImages
*/
public function setResourcePoolImages($resourcePoolImages)
{
$this->resourcePoolImages = $resourcePoolImages;
}
/**
* @return string[]
*/
public function getResourcePoolImages()
{
return $this->resourcePoolImages;
}
}
// Adding a class alias for backwards compatibility with the previous class name.
class_alias(GoogleCloudAiplatformV1RaySpec::class, 'Google_Service_Aiplatform_GoogleCloudAiplatformV1RaySpec');
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