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Build error
| MODEL: | |
| META_ARCHITECTURE: "GeneralizedVLRCNN" | |
| WEIGHT: "swin_tiny_patch4_window7_224.pth" | |
| RPN_ONLY: True | |
| RPN_ARCHITECTURE: "VLDYHEAD" | |
| BACKBONE: | |
| CONV_BODY: "SWINT-FPN-RETINANET" | |
| OUT_CHANNELS: 256 | |
| FREEZE_CONV_BODY_AT: -1 | |
| LANGUAGE_BACKBONE: | |
| FREEZE: False | |
| MODEL_TYPE: "bert-base-uncased" # "roberta-base", "clip" | |
| MASK_SPECIAL: False | |
| RPN: | |
| USE_FPN: True | |
| ANCHOR_SIZES: (64, 128, 256, 512, 1024) | |
| ANCHOR_STRIDE: (8, 16, 32, 64, 128) | |
| ASPECT_RATIOS: (1.0,) | |
| SCALES_PER_OCTAVE: 1 | |
| DYHEAD: | |
| CHANNELS: 256 | |
| NUM_CONVS: 6 | |
| USE_GN: True | |
| USE_DYRELU: True | |
| USE_DFCONV: True | |
| USE_DYFUSE: True | |
| TOPK: 9 # topk for selecting candidate positive samples from each level | |
| SCORE_AGG: "MEAN" | |
| LOG_SCALE: 0.0 | |
| FUSE_CONFIG: | |
| EARLY_FUSE_ON: True | |
| TYPE: "MHA-B" | |
| USE_CLASSIFICATION_LOSS: False | |
| USE_TOKEN_LOSS: False | |
| USE_CONTRASTIVE_ALIGN_LOSS: False | |
| CONTRASTIVE_HIDDEN_DIM: 64 | |
| USE_DOT_PRODUCT_TOKEN_LOSS: True | |
| USE_FUSED_FEATURES_DOT_PRODUCT: True | |
| USE_LAYER_SCALE: True | |
| CLAMP_MIN_FOR_UNDERFLOW: True | |
| CLAMP_MAX_FOR_OVERFLOW: True | |
| CLAMP_BERTATTN_MIN_FOR_UNDERFLOW: True | |
| CLAMP_BERTATTN_MAX_FOR_OVERFLOW: True | |
| CLAMP_DOT_PRODUCT: True | |
| USE_CHECKPOINT: True | |
| TEST: | |
| DURING_TRAINING: False | |
| IMS_PER_BATCH: 64 | |
| # use for grounding model | |
| DATASETS: | |
| TRAIN: ("object365_dt_train", ) | |
| TEST: ("coco_2017_val", ) | |
| DISABLE_SHUFFLE: False | |
| ADD_DET_PROMPT: False | |
| RANDOM_SAMPLE_NEG: 85 | |
| CONTROL_PROB: (0.0, 0.0, 0.5, 0.0) | |
| SEPARATION_TOKENS: ". " | |
| INPUT: | |
| PIXEL_MEAN: [ 103.530, 116.280, 123.675 ] | |
| PIXEL_STD: [ 57.375, 57.120, 58.395 ] | |
| MIN_SIZE_TRAIN: 800 | |
| MAX_SIZE_TRAIN: 1333 | |
| MIN_SIZE_TEST: 800 | |
| MAX_SIZE_TEST: 1333 | |
| AUGMENT: | |
| MULT_MIN_SIZE_TRAIN: (480,560,640,720,800) | |
| DATALOADER: | |
| SIZE_DIVISIBILITY: 32 | |
| SOLVER: | |
| OPTIMIZER: ADAMW | |
| BASE_LR: 0.0001 | |
| LANG_LR: 0.00001 | |
| WEIGHT_DECAY: 0.0001 | |
| STEPS: (0.67, 0.89) | |
| MAX_EPOCH: 30 | |
| IMS_PER_BATCH: 64 | |
| WARMUP_ITERS: 2000 | |
| WARMUP_FACTOR: 0.001 | |
| USE_AMP: True | |
| MODEL_EMA: 0.999 | |
| FIND_UNUSED_PARAMETERS: False | |
| CLIP_GRADIENTS: | |
| ENABLED: True | |
| CLIP_TYPE: "full_model" | |
| CLIP_VALUE: 1.0 | |
| NORM_TYPE: 2.0 |