claude_refactor_v3: Added .py-confs and all presets (nx5 .gin files). TODO: common gins-mapping and prepare to next step

This commit is contained in:
pikaliov
2026-04-30 12:02:15 +03:00
parent db2b5b32f4
commit e8a0de7ad3
85 changed files with 2113 additions and 985 deletions

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# RTX 4090 profile, shared encoder (DINOv3).
HardwareConfig.device = 'cuda'
HardwareConfig.batch_size = 8
HardwareConfig.grad_accum_steps = 8
HardwareConfig.num_workers = 4
HardwareConfig.use_amp = True
HardwareConfig.gradient_checkpointing = True
HardwareConfig.reserve_gb = 2.0
HardwareConfig.total_vram_gb = 24.0

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# DINOv3 shared encoder + MONA-12 + DGTRS-CLIP with text.
ModelsCommonConfig.backbone = 'dinov3'
ModelsCommonConfig.baseline_mode = False
ModelsCommonConfig.init_gate = 0.3
ModelsCommonConfig.lrsclip_path = 'nn_models/LRSCLIP/DGTRS-CLIP-ViT-L-14.pt'
DINOv3ModelsConfig.dino_web_path = 'nn_models/DINO_WEB/dinov3-vitl16-pretrain-lvd1689m.pth'
DINOv3ModelsConfig.dino_sat_path = 'nn_models/DINO_SAT/model.safetensors'
DINOv3ModelsConfig.shared_encoder = True
DINOv3ModelsConfig.mona_bottleneck = 64
DINOv3ModelsConfig.mona_last_n_blocks = 12
DINOv3ModelsConfig.lora_rank = 4

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# Pipeline: GTA-UAV-LR with text captions, servml workstation paths.
PipelineConfig.train_json = 'meta/train_80.json'
PipelineConfig.test_json = 'meta/test_20.json'
PipelineConfig.rgb_root = '/home/servml/Документы/datasets/GTA-UAV-LR'
PipelineConfig.caption_root = '/home/servml/Документы/datasets/GTA-UAV-LR-captions'
PipelineConfig.filter_meta = 'meta/seg_filter.json'
PipelineConfig.epochs = 10
PipelineConfig.warmup_epochs = 2
PipelineConfig.eval_every = 1
PipelineConfig.seed = 42
PipelineConfig.output_dir = 'out/gtauav/text_heavy'
PipelineConfig.resume_from = None

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# Default tracking: TensorBoard on, W&B off, no Grad-CAM, no profiler.
TrackingConfig.use_wandb = False
TrackingConfig.use_tb = True
TrackingConfig.wandb_project = 'caption-test-gtauav'
TrackingConfig.wandb_run_name = None
TrackingConfig.wandb_entity = None
TrackingConfig.log_grad_norms = True
TrackingConfig.use_gradcam = False
TrackingConfig.gradcam_every = 5
TrackingConfig.gradcam_samples = 8
TrackingConfig.use_profiler = False
TrackingConfig.profiler_warmup = 3
TrackingConfig.profiler_active = 5

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# Loss + optimizer + sampler — symmetric InfoNCE, AdamW, mutex sampler.
TrainingConfig.loss_type = 'symmetric'
TrainingConfig.tau_init = 0.07
TrainingConfig.tau_min = 0.01
TrainingConfig.tau_max = 0.1
TrainingConfig.learnable_temperature = True
TrainingConfig.label_smoothing = 0.1
TrainingConfig.tau_final = 0.01
TrainingConfig.weight_q2g = 0.6
TrainingConfig.weight_g2q = 0.4
TrainingConfig.hard_mining_k = 0
TrainingConfig.neg_bank_size = 0
# WeightedInfoNCE-only (unused when loss_type='symmetric').
TrainingConfig.weighted_loss_k = 5.0
TrainingConfig.learning_rate = 1e-4
TrainingConfig.text_lr_factor = 0.1
TrainingConfig.weight_decay = 1e-4
TrainingConfig.grad_clip = 1.0
TrainingConfig.sampler_type = 'mutex'
TrainingConfig.dss_warmup_epochs = 1
TrainingConfig.dss_reembed_every = 1
TrainingConfig.dss_knn_device = 'cuda'
TrainingConfig.dss_use_lsh = False
TrainingConfig.dss_lsh_num_tables = 8
TrainingConfig.dss_lsh_num_bits = 14
TrainingConfig.dss_cache_dir = None
TrainingConfig.use_mutex_sampler = True