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/*
 * Copyright 2024 Google LLC
 *
 * 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
 *
 *     https://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.
 */
// Generated by the protocol buffer compiler.  DO NOT EDIT!
// source: google/cloud/automl/v1beta1/image.proto

// Protobuf Java Version: 3.25.3
package com.google.cloud.automl.v1beta1;

public interface ImageClassificationModelDeploymentMetadataOrBuilder
    extends
    // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata)
    com.google.protobuf.MessageOrBuilder {

  /**
   *
   *
   * 
   * Input only. The number of nodes to deploy the model on. A node is an
   * abstraction of a machine resource, which can handle online prediction QPS
   * as given in the model's
   *
   * [node_qps][google.cloud.automl.v1beta1.ImageClassificationModelMetadata.node_qps].
   * Must be between 1 and 100, inclusive on both ends.
   * 
* * int64 node_count = 1; * * @return The nodeCount. */ long getNodeCount(); }




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