📄 Source: GoogleCloudAiplatformV1ComputeTokensRequest.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 GoogleCloudAiplatformV1ComputeTokensRequest extends \Google\Collection
{
protected $collection_key = 'instances';
protected $contentsType = GoogleCloudAiplatformV1Content::class;
protected $contentsDataType = 'array';
/**
* Optional. The instances that are the input to token computing API call.
* Schema is identical to the prediction schema of the text model, even for
* the non-text models, like chat models, or Codey models.
*
* @var array[]
*/
public $instances;
/**
* Optional. The name of the publisher model requested to serve the
* prediction. Format:
* projects/{project}/locations/{location}/publishers/models
*
* @var string
*/
public $model;
/**
* Optional. Input content.
*
* @param GoogleCloudAiplatformV1Content[] $contents
*/
public function setContents($contents)
{
$this->contents = $contents;
}
/**
* @return GoogleCloudAiplatformV1Content[]
*/
public function getContents()
{
return $this->contents;
}
/**
* Optional. The instances that are the input to token computing API call.
* Schema is identical to the prediction schema of the text model, even for
* the non-text models, like chat models, or Codey models.
*
* @param array[] $instances
*/
public function setInstances($instances)
{
$this->instances = $instances;
}
/**
* @return array[]
*/
public function getInstances()
{
return $this->instances;
}
/**
* Optional. The name of the publisher model requested to serve the
* prediction. Format:
* projects/{project}/locations/{location}/publishers/models
*
* @param string $model
*/
public function setModel($model)
{
$this->model = $model;
}
/**
* @return string
*/
public function getModel()
{
return $this->model;
}
}
// Adding a class alias for backwards compatibility with the previous class name.
class_alias(GoogleCloudAiplatformV1ComputeTokensRequest::class, 'Google_Service_Aiplatform_GoogleCloudAiplatformV1ComputeTokensRequest');
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