com.tencentcloudapi.tione.v20211111.models.CreateTrainingModelRequest Maven / Gradle / Ivy
/*
* Copyright (c) 2017-2018 THL A29 Limited, a Tencent company. All Rights Reserved.
*
* 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.
*/
package com.tencentcloudapi.tione.v20211111.models;
import com.tencentcloudapi.common.AbstractModel;
import com.google.gson.annotations.SerializedName;
import com.google.gson.annotations.Expose;
import java.util.HashMap;
public class CreateTrainingModelRequest extends AbstractModel{
/**
* 导入方式
MODEL：导入新模型
VERSION：导入新版本
EXIST：导入现有版本
*/
@SerializedName("ImportMethod")
@Expose
private String ImportMethod;
/**
* 模型来源cos目录，以/结尾
*/
@SerializedName("TrainingModelCosPath")
@Expose
private CosPathInfo TrainingModelCosPath;
/**
* 推理环境来源（SYSTEM/CUSTOM）
*/
@SerializedName("ReasoningEnvironmentSource")
@Expose
private String ReasoningEnvironmentSource;
/**
* 模型名称，不超过60个字符，仅支持中英文、数字、下划线"_"、短横"-"，只能以中英文、数字开头
*/
@SerializedName("TrainingModelName")
@Expose
private String TrainingModelName;
/**
* 标签配置
*/
@SerializedName("Tags")
@Expose
private Tag [] Tags;
/**
* 训练任务名称
*/
@SerializedName("TrainingJobName")
@Expose
private String TrainingJobName;
/**
* 算法框架 （PYTORCH/TENSORFLOW/DETECTRON2/PMML/MMDETECTION)
*/
@SerializedName("AlgorithmFramework")
@Expose
private String AlgorithmFramework;
/**
* 推理环境
*/
@SerializedName("ReasoningEnvironment")
@Expose
private String ReasoningEnvironment;
/**
* 训练指标，最多支持1000字符
*/
@SerializedName("TrainingModelIndex")
@Expose
private String TrainingModelIndex;
/**
* 模型版本
*/
@SerializedName("TrainingModelVersion")
@Expose
private String TrainingModelVersion;
/**
* 自定义推理环境
*/
@SerializedName("ReasoningImageInfo")
@Expose
private ImageInfo ReasoningImageInfo;
/**
* 模型移动方式（CUT/COPY）
*/
@SerializedName("ModelMoveMode")
@Expose
private String ModelMoveMode;
/**
* 训练任务ID
*/
@SerializedName("TrainingJobId")
@Expose
private String TrainingJobId;
/**
* 模型ID（导入新模型不需要，导入新版本需要）
*/
@SerializedName("TrainingModelId")
@Expose
private String TrainingModelId;
/**
* 模型存储cos目录
*/
@SerializedName("ModelOutputPath")
@Expose
private CosPathInfo ModelOutputPath;
/**
* 模型来源 （JOB/COS）
*/
@SerializedName("TrainingModelSource")
@Expose
private String TrainingModelSource;
/**
* 模型偏好
*/
@SerializedName("TrainingPreference")
@Expose
private String TrainingPreference;
/**
* 自动学习任务ID（已废弃）
*/
@SerializedName("AutoMLTaskId")
@Expose
private String AutoMLTaskId;
/**
* 任务版本
*/
@SerializedName("TrainingJobVersion")
@Expose
private String TrainingJobVersion;
/**
* 模型版本类型；
枚举值：NORMAL(通用) ACCELERATE(加速)
注意: 默认为NORMAL
*/
@SerializedName("ModelVersionType")
@Expose
private String ModelVersionType;
/**
* 模型格式 （PYTORCH/TORCH_SCRIPT/DETECTRON2/SAVED_MODEL/FROZEN_GRAPH/PMML/MMDETECTION/ONNX/HUGGING_FACE）
*/
@SerializedName("ModelFormat")
@Expose
private String ModelFormat;
/**
* 推理镜像ID
*/
@SerializedName("ReasoningEnvironmentId")
@Expose
private String ReasoningEnvironmentId;
/**
* 模型自动清理开关(true/false)，当前版本仅支持SAVED_MODEL格式模型
*/
@SerializedName("AutoClean")
@Expose
private String AutoClean;
/**
* 模型数量保留上限(默认值为24个，上限为24，下限为1，步长为1)
*/
@SerializedName("MaxReservedModels")
@Expose
private Long MaxReservedModels;
/**
* 模型清理周期(默认值为1分钟，上限为1440，下限为1分钟，步长为1)
*/
@SerializedName("ModelCleanPeriod")
@Expose
private Long ModelCleanPeriod;
/**
* Get 导入方式
MODEL：导入新模型
VERSION：导入新版本
EXIST：导入现有版本
* @return ImportMethod 导入方式
MODEL：导入新模型
VERSION：导入新版本
EXIST：导入现有版本
*/
public String getImportMethod() {
return this.ImportMethod;
}
/**
* Set 导入方式
MODEL：导入新模型
VERSION：导入新版本
EXIST：导入现有版本
* @param ImportMethod 导入方式
MODEL：导入新模型
VERSION：导入新版本
EXIST：导入现有版本
*/
public void setImportMethod(String ImportMethod) {
this.ImportMethod = ImportMethod;
}
/**
* Get 模型来源cos目录，以/结尾
* @return TrainingModelCosPath 模型来源cos目录，以/结尾
*/
public CosPathInfo getTrainingModelCosPath() {
return this.TrainingModelCosPath;
}
/**
* Set 模型来源cos目录，以/结尾
* @param TrainingModelCosPath 模型来源cos目录，以/结尾
*/
public void setTrainingModelCosPath(CosPathInfo TrainingModelCosPath) {
this.TrainingModelCosPath = TrainingModelCosPath;
}
/**
* Get 推理环境来源（SYSTEM/CUSTOM）
* @return ReasoningEnvironmentSource 推理环境来源（SYSTEM/CUSTOM）
*/
public String getReasoningEnvironmentSource() {
return this.ReasoningEnvironmentSource;
}
/**
* Set 推理环境来源（SYSTEM/CUSTOM）
* @param ReasoningEnvironmentSource 推理环境来源（SYSTEM/CUSTOM）
*/
public void setReasoningEnvironmentSource(String ReasoningEnvironmentSource) {
this.ReasoningEnvironmentSource = ReasoningEnvironmentSource;
}
/**
* Get 模型名称，不超过60个字符，仅支持中英文、数字、下划线"_"、短横"-"，只能以中英文、数字开头
* @return TrainingModelName 模型名称，不超过60个字符，仅支持中英文、数字、下划线"_"、短横"-"，只能以中英文、数字开头
*/
public String getTrainingModelName() {
return this.TrainingModelName;
}
/**
* Set 模型名称，不超过60个字符，仅支持中英文、数字、下划线"_"、短横"-"，只能以中英文、数字开头
* @param TrainingModelName 模型名称，不超过60个字符，仅支持中英文、数字、下划线"_"、短横"-"，只能以中英文、数字开头
*/
public void setTrainingModelName(String TrainingModelName) {
this.TrainingModelName = TrainingModelName;
}
/**
* Get 标签配置
* @return Tags 标签配置
*/
public Tag [] getTags() {
return this.Tags;
}
/**
* Set 标签配置
* @param Tags 标签配置
*/
public void setTags(Tag [] Tags) {
this.Tags = Tags;
}
/**
* Get 训练任务名称
* @return TrainingJobName 训练任务名称
*/
public String getTrainingJobName() {
return this.TrainingJobName;
}
/**
* Set 训练任务名称
* @param TrainingJobName 训练任务名称
*/
public void setTrainingJobName(String TrainingJobName) {
this.TrainingJobName = TrainingJobName;
}
/**
* Get 算法框架 （PYTORCH/TENSORFLOW/DETECTRON2/PMML/MMDETECTION)
* @return AlgorithmFramework 算法框架 （PYTORCH/TENSORFLOW/DETECTRON2/PMML/MMDETECTION)
*/
public String getAlgorithmFramework() {
return this.AlgorithmFramework;
}
/**
* Set 算法框架 （PYTORCH/TENSORFLOW/DETECTRON2/PMML/MMDETECTION)
* @param AlgorithmFramework 算法框架 （PYTORCH/TENSORFLOW/DETECTRON2/PMML/MMDETECTION)
*/
public void setAlgorithmFramework(String AlgorithmFramework) {
this.AlgorithmFramework = AlgorithmFramework;
}
/**
* Get 推理环境
* @return ReasoningEnvironment 推理环境
*/
public String getReasoningEnvironment() {
return this.ReasoningEnvironment;
}
/**
* Set 推理环境
* @param ReasoningEnvironment 推理环境
*/
public void setReasoningEnvironment(String ReasoningEnvironment) {
this.ReasoningEnvironment = ReasoningEnvironment;
}
/**
* Get 训练指标，最多支持1000字符
* @return TrainingModelIndex 训练指标，最多支持1000字符
*/
public String getTrainingModelIndex() {
return this.TrainingModelIndex;
}
/**
* Set 训练指标，最多支持1000字符
* @param TrainingModelIndex 训练指标，最多支持1000字符
*/
public void setTrainingModelIndex(String TrainingModelIndex) {
this.TrainingModelIndex = TrainingModelIndex;
}
/**
* Get 模型版本
* @return TrainingModelVersion 模型版本
*/
public String getTrainingModelVersion() {
return this.TrainingModelVersion;
}
/**
* Set 模型版本
* @param TrainingModelVersion 模型版本
*/
public void setTrainingModelVersion(String TrainingModelVersion) {
this.TrainingModelVersion = TrainingModelVersion;
}
/**
* Get 自定义推理环境
* @return ReasoningImageInfo 自定义推理环境
*/
public ImageInfo getReasoningImageInfo() {
return this.ReasoningImageInfo;
}
/**
* Set 自定义推理环境
* @param ReasoningImageInfo 自定义推理环境
*/
public void setReasoningImageInfo(ImageInfo ReasoningImageInfo) {
this.ReasoningImageInfo = ReasoningImageInfo;
}
/**
* Get 模型移动方式（CUT/COPY）
* @return ModelMoveMode 模型移动方式（CUT/COPY）
*/
public String getModelMoveMode() {
return this.ModelMoveMode;
}
/**
* Set 模型移动方式（CUT/COPY）
* @param ModelMoveMode 模型移动方式（CUT/COPY）
*/
public void setModelMoveMode(String ModelMoveMode) {
this.ModelMoveMode = ModelMoveMode;
}
/**
* Get 训练任务ID
* @return TrainingJobId 训练任务ID
*/
public String getTrainingJobId() {
return this.TrainingJobId;
}
/**
* Set 训练任务ID
* @param TrainingJobId 训练任务ID
*/
public void setTrainingJobId(String TrainingJobId) {
this.TrainingJobId = TrainingJobId;
}
/**
* Get 模型ID（导入新模型不需要，导入新版本需要）
* @return TrainingModelId 模型ID（导入新模型不需要，导入新版本需要）
*/
public String getTrainingModelId() {
return this.TrainingModelId;
}
/**
* Set 模型ID（导入新模型不需要，导入新版本需要）
* @param TrainingModelId 模型ID（导入新模型不需要，导入新版本需要）
*/
public void setTrainingModelId(String TrainingModelId) {
this.TrainingModelId = TrainingModelId;
}
/**
* Get 模型存储cos目录
* @return ModelOutputPath 模型存储cos目录
*/
public CosPathInfo getModelOutputPath() {
return this.ModelOutputPath;
}
/**
* Set 模型存储cos目录
* @param ModelOutputPath 模型存储cos目录
*/
public void setModelOutputPath(CosPathInfo ModelOutputPath) {
this.ModelOutputPath = ModelOutputPath;
}
/**
* Get 模型来源 （JOB/COS）
* @return TrainingModelSource 模型来源 （JOB/COS）
*/
public String getTrainingModelSource() {
return this.TrainingModelSource;
}
/**
* Set 模型来源 （JOB/COS）
* @param TrainingModelSource 模型来源 （JOB/COS）
*/
public void setTrainingModelSource(String TrainingModelSource) {
this.TrainingModelSource = TrainingModelSource;
}
/**
* Get 模型偏好
* @return TrainingPreference 模型偏好
*/
public String getTrainingPreference() {
return this.TrainingPreference;
}
/**
* Set 模型偏好
* @param TrainingPreference 模型偏好
*/
public void setTrainingPreference(String TrainingPreference) {
this.TrainingPreference = TrainingPreference;
}
/**
* Get 自动学习任务ID（已废弃）
* @return AutoMLTaskId 自动学习任务ID（已废弃）
*/
public String getAutoMLTaskId() {
return this.AutoMLTaskId;
}
/**
* Set 自动学习任务ID（已废弃）
* @param AutoMLTaskId 自动学习任务ID（已废弃）
*/
public void setAutoMLTaskId(String AutoMLTaskId) {
this.AutoMLTaskId = AutoMLTaskId;
}
/**
* Get 任务版本
* @return TrainingJobVersion 任务版本
*/
public String getTrainingJobVersion() {
return this.TrainingJobVersion;
}
/**
* Set 任务版本
* @param TrainingJobVersion 任务版本
*/
public void setTrainingJobVersion(String TrainingJobVersion) {
this.TrainingJobVersion = TrainingJobVersion;
}
/**
* Get 模型版本类型；
枚举值：NORMAL(通用) ACCELERATE(加速)
注意: 默认为NORMAL
* @return ModelVersionType 模型版本类型；
枚举值：NORMAL(通用) ACCELERATE(加速)
注意: 默认为NORMAL
*/
public String getModelVersionType() {
return this.ModelVersionType;
}
/**
* Set 模型版本类型；
枚举值：NORMAL(通用) ACCELERATE(加速)
注意: 默认为NORMAL
* @param ModelVersionType 模型版本类型；
枚举值：NORMAL(通用) ACCELERATE(加速)
注意: 默认为NORMAL
*/
public void setModelVersionType(String ModelVersionType) {
this.ModelVersionType = ModelVersionType;
}
/**
* Get 模型格式 （PYTORCH/TORCH_SCRIPT/DETECTRON2/SAVED_MODEL/FROZEN_GRAPH/PMML/MMDETECTION/ONNX/HUGGING_FACE）
* @return ModelFormat 模型格式 （PYTORCH/TORCH_SCRIPT/DETECTRON2/SAVED_MODEL/FROZEN_GRAPH/PMML/MMDETECTION/ONNX/HUGGING_FACE）
*/
public String getModelFormat() {
return this.ModelFormat;
}
/**
* Set 模型格式 （PYTORCH/TORCH_SCRIPT/DETECTRON2/SAVED_MODEL/FROZEN_GRAPH/PMML/MMDETECTION/ONNX/HUGGING_FACE）
* @param ModelFormat 模型格式 （PYTORCH/TORCH_SCRIPT/DETECTRON2/SAVED_MODEL/FROZEN_GRAPH/PMML/MMDETECTION/ONNX/HUGGING_FACE）
*/
public void setModelFormat(String ModelFormat) {
this.ModelFormat = ModelFormat;
}
/**
* Get 推理镜像ID
* @return ReasoningEnvironmentId 推理镜像ID
*/
public String getReasoningEnvironmentId() {
return this.ReasoningEnvironmentId;
}
/**
* Set 推理镜像ID
* @param ReasoningEnvironmentId 推理镜像ID
*/
public void setReasoningEnvironmentId(String ReasoningEnvironmentId) {
this.ReasoningEnvironmentId = ReasoningEnvironmentId;
}
/**
* Get 模型自动清理开关(true/false)，当前版本仅支持SAVED_MODEL格式模型
* @return AutoClean 模型自动清理开关(true/false)，当前版本仅支持SAVED_MODEL格式模型
*/
public String getAutoClean() {
return this.AutoClean;
}
/**
* Set 模型自动清理开关(true/false)，当前版本仅支持SAVED_MODEL格式模型
* @param AutoClean 模型自动清理开关(true/false)，当前版本仅支持SAVED_MODEL格式模型
*/
public void setAutoClean(String AutoClean) {
this.AutoClean = AutoClean;
}
/**
* Get 模型数量保留上限(默认值为24个，上限为24，下限为1，步长为1)
* @return MaxReservedModels 模型数量保留上限(默认值为24个，上限为24，下限为1，步长为1)
*/
public Long getMaxReservedModels() {
return this.MaxReservedModels;
}
/**
* Set 模型数量保留上限(默认值为24个，上限为24，下限为1，步长为1)
* @param MaxReservedModels 模型数量保留上限(默认值为24个，上限为24，下限为1，步长为1)
*/
public void setMaxReservedModels(Long MaxReservedModels) {
this.MaxReservedModels = MaxReservedModels;
}
/**
* Get 模型清理周期(默认值为1分钟，上限为1440，下限为1分钟，步长为1)
* @return ModelCleanPeriod 模型清理周期(默认值为1分钟，上限为1440，下限为1分钟，步长为1)
*/
public Long getModelCleanPeriod() {
return this.ModelCleanPeriod;
}
/**
* Set 模型清理周期(默认值为1分钟，上限为1440，下限为1分钟，步长为1)
* @param ModelCleanPeriod 模型清理周期(默认值为1分钟，上限为1440，下限为1分钟，步长为1)
*/
public void setModelCleanPeriod(Long ModelCleanPeriod) {
this.ModelCleanPeriod = ModelCleanPeriod;
}
public CreateTrainingModelRequest() {
}
/**
* NOTE: Any ambiguous key set via .set("AnyKey", "value") will be a shallow copy,
* and any explicit key, i.e Foo, set via .setFoo("value") will be a deep copy.
*/
public CreateTrainingModelRequest(CreateTrainingModelRequest source) {
if (source.ImportMethod != null) {
this.ImportMethod = new String(source.ImportMethod);
}
if (source.TrainingModelCosPath != null) {
this.TrainingModelCosPath = new CosPathInfo(source.TrainingModelCosPath);
}
if (source.ReasoningEnvironmentSource != null) {
this.ReasoningEnvironmentSource = new String(source.ReasoningEnvironmentSource);
}
if (source.TrainingModelName != null) {
this.TrainingModelName = new String(source.TrainingModelName);
}
if (source.Tags != null) {
this.Tags = new Tag[source.Tags.length];
for (int i = 0; i < source.Tags.length; i++) {
this.Tags[i] = new Tag(source.Tags[i]);
}
}
if (source.TrainingJobName != null) {
this.TrainingJobName = new String(source.TrainingJobName);
}
if (source.AlgorithmFramework != null) {
this.AlgorithmFramework = new String(source.AlgorithmFramework);
}
if (source.ReasoningEnvironment != null) {
this.ReasoningEnvironment = new String(source.ReasoningEnvironment);
}
if (source.TrainingModelIndex != null) {
this.TrainingModelIndex = new String(source.TrainingModelIndex);
}
if (source.TrainingModelVersion != null) {
this.TrainingModelVersion = new String(source.TrainingModelVersion);
}
if (source.ReasoningImageInfo != null) {
this.ReasoningImageInfo = new ImageInfo(source.ReasoningImageInfo);
}
if (source.ModelMoveMode != null) {
this.ModelMoveMode = new String(source.ModelMoveMode);
}
if (source.TrainingJobId != null) {
this.TrainingJobId = new String(source.TrainingJobId);
}
if (source.TrainingModelId != null) {
this.TrainingModelId = new String(source.TrainingModelId);
}
if (source.ModelOutputPath != null) {
this.ModelOutputPath = new CosPathInfo(source.ModelOutputPath);
}
if (source.TrainingModelSource != null) {
this.TrainingModelSource = new String(source.TrainingModelSource);
}
if (source.TrainingPreference != null) {
this.TrainingPreference = new String(source.TrainingPreference);
}
if (source.AutoMLTaskId != null) {
this.AutoMLTaskId = new String(source.AutoMLTaskId);
}
if (source.TrainingJobVersion != null) {
this.TrainingJobVersion = new String(source.TrainingJobVersion);
}
if (source.ModelVersionType != null) {
this.ModelVersionType = new String(source.ModelVersionType);
}
if (source.ModelFormat != null) {
this.ModelFormat = new String(source.ModelFormat);
}
if (source.ReasoningEnvironmentId != null) {
this.ReasoningEnvironmentId = new String(source.ReasoningEnvironmentId);
}
if (source.AutoClean != null) {
this.AutoClean = new String(source.AutoClean);
}
if (source.MaxReservedModels != null) {
this.MaxReservedModels = new Long(source.MaxReservedModels);
}
if (source.ModelCleanPeriod != null) {
this.ModelCleanPeriod = new Long(source.ModelCleanPeriod);
}
}
/**
* Internal implementation, normal users should not use it.
*/
public void toMap(HashMap map, String prefix) {
this.setParamSimple(map, prefix + "ImportMethod", this.ImportMethod);
this.setParamObj(map, prefix + "TrainingModelCosPath.", this.TrainingModelCosPath);
this.setParamSimple(map, prefix + "ReasoningEnvironmentSource", this.ReasoningEnvironmentSource);
this.setParamSimple(map, prefix + "TrainingModelName", this.TrainingModelName);
this.setParamArrayObj(map, prefix + "Tags.", this.Tags);
this.setParamSimple(map, prefix + "TrainingJobName", this.TrainingJobName);
this.setParamSimple(map, prefix + "AlgorithmFramework", this.AlgorithmFramework);
this.setParamSimple(map, prefix + "ReasoningEnvironment", this.ReasoningEnvironment);
this.setParamSimple(map, prefix + "TrainingModelIndex", this.TrainingModelIndex);
this.setParamSimple(map, prefix + "TrainingModelVersion", this.TrainingModelVersion);
this.setParamObj(map, prefix + "ReasoningImageInfo.", this.ReasoningImageInfo);
this.setParamSimple(map, prefix + "ModelMoveMode", this.ModelMoveMode);
this.setParamSimple(map, prefix + "TrainingJobId", this.TrainingJobId);
this.setParamSimple(map, prefix + "TrainingModelId", this.TrainingModelId);
this.setParamObj(map, prefix + "ModelOutputPath.", this.ModelOutputPath);
this.setParamSimple(map, prefix + "TrainingModelSource", this.TrainingModelSource);
this.setParamSimple(map, prefix + "TrainingPreference", this.TrainingPreference);
this.setParamSimple(map, prefix + "AutoMLTaskId", this.AutoMLTaskId);
this.setParamSimple(map, prefix + "TrainingJobVersion", this.TrainingJobVersion);
this.setParamSimple(map, prefix + "ModelVersionType", this.ModelVersionType);
this.setParamSimple(map, prefix + "ModelFormat", this.ModelFormat);
this.setParamSimple(map, prefix + "ReasoningEnvironmentId", this.ReasoningEnvironmentId);
this.setParamSimple(map, prefix + "AutoClean", this.AutoClean);
this.setParamSimple(map, prefix + "MaxReservedModels", this.MaxReservedModels);
this.setParamSimple(map, prefix + "ModelCleanPeriod", this.ModelCleanPeriod);
}
}
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