하이퍼파라미터 기능 추가
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@@ -23,9 +23,8 @@ public class HyperParamDto {
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@NoArgsConstructor
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@AllArgsConstructor
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public static class Basic {
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private Long id;
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private UUID uuid;
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private String hyperVer;
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// -------------------------
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// Important
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@@ -33,28 +32,8 @@ public class HyperParamDto {
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private String backbone;
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private String inputSize;
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private String cropSize;
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private Integer epochCnt;
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private Integer batchSize;
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// -------------------------
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// Model Architecture
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// -------------------------
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private Double dropPathRate;
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private Integer frozenStages;
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private String neckPolicy;
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private String decoderChannels;
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private String classWeight;
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private Integer numLayers;
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// -------------------------
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// Loss & Optimization
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// -------------------------
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private Double learningRate;
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private Double weightDecay;
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private Double layerDecayRate;
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private Boolean ddpFindUnusedParams;
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private Integer ignoreIndex;
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// -------------------------
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// Data
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// -------------------------
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@@ -65,6 +44,25 @@ public class HyperParamDto {
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private Boolean trainPersistent;
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private Boolean valPersistent;
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// -------------------------
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// Model Architecture
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// -------------------------
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private Double dropPathRate;
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private Integer frozenStages;
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private String neckPolicy;
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private String decoderChannels;
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private String classWeight;
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// -------------------------
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// Loss & Optimization
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// -------------------------
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private Double learningRate;
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private Double weightDecay;
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private Double layerDecayRate;
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private Boolean ddpFindUnusedParams;
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private Integer ignoreIndex;
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private Integer numLayers;
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// -------------------------
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// Evaluation
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// -------------------------
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@@ -79,36 +77,25 @@ public class HyperParamDto {
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// Augmentation
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// -------------------------
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private Double rotProb;
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private Double flipProb;
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private String rotDegree;
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private Double flipProb;
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private Double exchangeProb;
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private Integer brightnessDelta;
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private String contrastRange;
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private String saturationRange;
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private Integer hueDelta;
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// -------------------------
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// Memo
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// -------------------------
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private String memo;
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// -------------------------
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// Hardware
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// -------------------------
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private Integer gpuCnt;
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private String gpuIds;
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private Integer masterPort;
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// -------------------------
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// Common
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// -------------------------
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private String memo;
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private String delYn;
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@JsonFormatDttm private ZonedDateTime createdDttm;
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private Long createdUid;
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@JsonFormatDttm private ZonedDateTime updatedDttm;
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private Long updatedUid;
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@JsonFormatDttm private ZonedDateTime lastUsedDttm;
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private Long m1UseCnt;
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private Long m2UseCnt;
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private Long m3UseCnt;
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}
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@Getter
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@@ -133,54 +120,24 @@ public class HyperParamDto {
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@AllArgsConstructor
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public static class HyperParamCreateReq {
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// -------------------------
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// Important
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// -------------------------
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@Schema(description = "백본 네트워크", example = "large")
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private String backbone; // backbone
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@Schema(description = "입력 이미지 크기(H,W)", example = "256,256")
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@Schema(description = "입력 이미지 크기(H,W)", example = "512,512")
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private String inputSize; // input_size
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@Schema(description = "크롭 크기(H,W 또는 단일값)", example = "256,256")
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private String cropSize; // crop_size
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@Schema(description = "총 학습 에폭 수", example = "200")
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private Integer epochCnt; // epoch_cnt
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@Schema(description = "배치 크기(Per GPU)", example = "16")
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private Integer batchSize; // batch_size
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@Schema(description = "Drop Path 비율", example = "0.3")
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private Double dropPathRate; // drop_path_rate
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@Schema(description = "Freeze 단계(-1:None)", example = "-1")
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private Integer frozenStages; // frozen_stages
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@Schema(description = "Neck 결합 정책", example = "abs_diff")
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private String neckPolicy; // neck_policy
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@Schema(description = "디코더 채널 구성", example = "512,256,128,64")
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private String decoderChannels; // decoder_channels
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@Schema(description = "클래스별 가중치", example = "1,10")
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private String classWeight; // class_weight
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@Schema(description = "레이어 깊이", example = "24")
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private Integer numLayers; // num_layers
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@Schema(description = "학습률", example = "0.00006")
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private Double learningRate; // learning_rate
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@Schema(description = "Weight Decay", example = "0.05")
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private Double weightDecay; // weight_decay
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@Schema(description = "Layer Decay Rate", example = "0.9")
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private Double layerDecayRate; // layer_decay_rate
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@Schema(description = "DDP unused params 탐색 여부", example = "true")
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private Boolean ddpFindUnusedParams; // ddp_find_unused_params
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@Schema(description = "Loss 계산 제외 인덱스", example = "255")
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private Integer ignoreIndex; // ignore_index
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// -------------------------
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// Data
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// -------------------------
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@Schema(description = "Train dataloader workers", example = "16")
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private Integer trainNumWorkers; // train_num_workers
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@@ -199,13 +156,55 @@ public class HyperParamDto {
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@Schema(description = "Val persistent workers 여부", example = "true")
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private Boolean valPersistent; // val_persistent
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// -------------------------
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// Model Architecture
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// -------------------------
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@Schema(description = "Drop Path 비율", example = "0.3")
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private Double dropPathRate; // drop_path_rate
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@Schema(description = "Freeze 단계(-1:None)", example = "-1")
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private Integer frozenStages; // frozen_stages
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@Schema(description = "Neck 결합 정책", example = "abs_diff")
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private String neckPolicy; // neck_policy
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@Schema(description = "디코더 채널 구성", example = "512,256,128,64")
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private String decoderChannels; // decoder_channels
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@Schema(description = "클래스별 가중치", example = "1,10")
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private String classWeight; // class_weight
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// -------------------------
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// Loss & Optimization
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// -------------------------
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@Schema(description = "학습률", example = "0.00006")
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private Double learningRate; // learning_rate
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@Schema(description = "Weight Decay", example = "0.05")
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private Double weightDecay; // weight_decay
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@Schema(description = "Layer Decay Rate", example = "0.9")
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private Double layerDecayRate; // layer_decay_rate
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@Schema(description = "DDP unused params 탐색 여부", example = "true")
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private Boolean ddpFindUnusedParams; // ddp_find_unused_params
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@Schema(description = "Loss 계산 제외 인덱스", example = "255")
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private Integer ignoreIndex; // ignore_index
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@Schema(description = "레이어 깊이", example = "24")
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private Integer numLayers; // num_layers
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// -------------------------
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// Evaluation
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// -------------------------
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@Schema(description = "평가 지표 목록", example = "mFscore,mIoU")
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private String metrics; // metrics
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@Schema(description = "Best 모델 선정 기준 지표", example = "changed_fscore")
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private String saveBest; // save_best
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@Schema(description = "Best 모델 선정 규칙", example = "greater")
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@Schema(description = "Best 모델 선정 규칙", example = "less")
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private String saveBestRule; // save_best_rule
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@Schema(description = "검증 수행 주기(Epoch)", example = "10")
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@@ -217,15 +216,18 @@ public class HyperParamDto {
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@Schema(description = "시각화 저장 주기(Epoch)", example = "1")
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private Integer visInterval; // vis_interval
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// -------------------------
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// Augmentation
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// -------------------------
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@Schema(description = "회전 적용 확률", example = "0.5")
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private Double rotProb; // rot_prob
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@Schema(description = "반전 적용 확률", example = "0.5")
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private Double flipProb; // flip_prob
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@Schema(description = "회전 각도 범위(Min,Max)", example = "-20,20")
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private String rotDegree; // rot_degree
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@Schema(description = "반전 적용 확률", example = "0.5")
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private Double flipProb; // flip_prob
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@Schema(description = "채널 교환 확률", example = "0.5")
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private Double exchangeProb; // exchange_prob
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@@ -241,6 +243,9 @@ public class HyperParamDto {
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@Schema(description = "색조 변화량", example = "10")
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private Integer hueDelta; // hue_delta
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// -------------------------
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// Hardware
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// -------------------------
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@Schema(description = "사용 GPU 개수", example = "4")
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private Integer gpuCnt; // gpu_cnt
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@@ -250,6 +255,9 @@ public class HyperParamDto {
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@Schema(description = "분산학습 마스터 포트", example = "1122")
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private Integer masterPort; // master_port
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// -------------------------
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// Memo
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// -------------------------
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@Schema(description = "메모", example = "하이퍼파라미터 신규등록")
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private String memo; // memo
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}
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