데이터셋 등록 추가
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@@ -1,5 +1,6 @@
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package com.kamco.cd.training.hyperparam;
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import com.kamco.cd.training.common.dto.HyperParam;
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import com.kamco.cd.training.config.api.ApiResponseDto;
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import com.kamco.cd.training.hyperparam.dto.HyperParamDto;
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import com.kamco.cd.training.hyperparam.dto.HyperParamDto.List;
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@@ -49,8 +50,7 @@ public class HyperParamApiController {
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@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
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})
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@PostMapping
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public ApiResponseDto<String> createHyperParam(
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@Valid @RequestBody HyperParamDto.HyperParamCreateReq createReq) {
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public ApiResponseDto<String> createHyperParam(@Valid @RequestBody HyperParam createReq) {
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String newVersion = hyperParamService.createHyperParam(createReq);
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return ApiResponseDto.ok(newVersion);
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}
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@@ -70,7 +70,7 @@ public class HyperParamApiController {
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})
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@PutMapping("/{uuid}")
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public ApiResponseDto<String> updateHyperParam(
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@PathVariable UUID uuid, @Valid @RequestBody HyperParamDto.HyperParamCreateReq createReq) {
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@PathVariable UUID uuid, @Valid @RequestBody HyperParam createReq) {
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return ApiResponseDto.ok(hyperParamService.updateHyperParam(uuid, createReq));
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}
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@@ -115,155 +115,6 @@ public class HyperParamDto {
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private Long totalCnt;
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}
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@Schema(name = "HyperParamCreateReq", description = "하이퍼파라미터 등록 요청")
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@Getter
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@Setter
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@NoArgsConstructor
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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 = "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 = "배치 크기(Per GPU)", example = "16")
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private Integer batchSize; // batch_size
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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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@Schema(description = "Val dataloader workers", example = "8")
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private Integer valNumWorkers; // val_num_workers
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@Schema(description = "Test dataloader workers", example = "8")
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private Integer testNumWorkers; // test_num_workers
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@Schema(description = "Train shuffle 여부", example = "true")
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private Boolean trainShuffle; // train_shuffle
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@Schema(description = "Train persistent workers 여부", example = "true")
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private Boolean trainPersistent; // train_persistent
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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 = "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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private Integer valInterval; // val_interval
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@Schema(description = "로그 기록 주기(Iteration)", example = "400")
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private Integer logInterval; // log_interval
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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 = "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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@Schema(description = "밝기 변화량", example = "10")
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private Integer brightnessDelta; // brightness_delta
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@Schema(description = "대비 범위(Min,Max)", example = "0.8,1.2")
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private String contrastRange; // contrast_range
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@Schema(description = "채도 범위(Min,Max)", example = "0.8,1.2")
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private String saturationRange; // saturation_range
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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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@Schema(description = "사용 GPU ID 목록", example = "0,1,2,3")
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private String gpuIds; // gpu_ids
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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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@Getter
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@Setter
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@NoArgsConstructor
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@@ -1,5 +1,6 @@
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package com.kamco.cd.training.hyperparam.service;
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import com.kamco.cd.training.common.dto.HyperParam;
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import com.kamco.cd.training.hyperparam.dto.HyperParamDto;
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import com.kamco.cd.training.hyperparam.dto.HyperParamDto.List;
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import com.kamco.cd.training.postgres.core.HyperParamCoreService;
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@@ -33,8 +34,8 @@ public class HyperParamService {
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* @return 생성된 버전명
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*/
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@Transactional
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public String createHyperParam(HyperParamDto.HyperParamCreateReq createReq) {
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return hyperParamCoreService.createHyperParam(createReq);
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public String createHyperParam(HyperParam createReq) {
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return hyperParamCoreService.createHyperParam(createReq).getHyperVer();
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}
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/**
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@@ -44,7 +45,7 @@ public class HyperParamService {
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* @return
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*/
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@Transactional
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public String updateHyperParam(UUID uuid, HyperParamDto.HyperParamCreateReq createReq) {
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public String updateHyperParam(UUID uuid, HyperParam createReq) {
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return hyperParamCoreService.updateHyperParam(uuid, createReq);
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}
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