AUG_TEST: UNDERSAMPLE: ACCELERATIONS: - 6 AUG_TRAIN: MOTION_P: 0.2 MRI_RECON: AUG_SENSITIVITY_MAPS: true SCHEDULER_P: IGNORE: false TRANSFORMS: [] NOISE_P: 0.2 UNDERSAMPLE: ACCELERATIONS: - 6 CALIBRATION_SIZE: 20 CENTER_FRACTIONS: [] MAX_ATTEMPTS: 30 NAME: PoissonDiskMaskFunc USE_MOTION: false USE_NOISE: false CUDNN_BENCHMARK: false DATALOADER: ALT_SAMPLER: PERIOD_SUPERVISED: 1 PERIOD_UNSUPERVISED: 1 DATA_KEYS: [] DROP_LAST: true FILTER: BY: [] GROUP_SAMPLER: AS_BATCH_SAMPLER: false BATCH_BY: [] NUM_WORKERS: 0 PREFETCH_FACTOR: 2 SAMPLER_TRAIN: '' SUBSAMPLE_TRAIN: NUM_TOTAL: -1 NUM_TOTAL_BY_GROUP: [] NUM_UNDERSAMPLED: 0 NUM_VAL: -1 NUM_VAL_BY_GROUP: [] SEED: 1000 DATASETS: TEST: - mridata_knee_2019_test TRAIN: - mridata_knee_2019_train VAL: - mridata_knee_2019_val MODEL: A2R: META_ARCHITECTURE: GeneralizedUnrolledCNN USE_SUPERVISED_CONSISTENCY: false CONSISTENCY: AUG: MOTION: RANGE: - 0.2 - 0.5 SCHEDULER: WARMUP_ITERS: 0 WARMUP_METHOD: '' MRI_RECON: AUG_SENSITIVITY_MAPS: true SCHEDULER_P: IGNORE: false TRANSFORMS: [] NOISE: MASK: RHO: 1.0 SCHEDULER: WARMUP_ITERS: 0 WARMUP_METHOD: '' STD_DEV: - 1 LATENT_LOSS_NAME: mag_l1 LATENT_LOSS_WEIGHT: 0.1 LOSS_NAME: l1 LOSS_WEIGHT: 0.1 NUM_LATENT_LAYERS: 1 USE_CONSISTENCY: true USE_LATENT: false CS: MAX_ITER: 200 REGULARIZATION: 0.005 DENOISING: META_ARCHITECTURE: GeneralizedUnrolledCNN NOISE: STD_DEV: - 1 USE_FULLY_SAMPLED_TARGET: true USE_FULLY_SAMPLED_TARGET_EVAL: null DEVICE: cuda M2R: META_ARCHITECTURE: GeneralizedUnrolledCNN USE_SUPERVISED_CONSISTENCY: false META_ARCHITECTURE: GeneralizedUnrolledCNN N2R: META_ARCHITECTURE: GeneralizedUnrolledCNN USE_SUPERVISED_CONSISTENCY: false NM2R: META_ARCHITECTURE: GeneralizedUnrolledCNN USE_SUPERVISED_CONSISTENCY: false NORMALIZER: KEYWORDS: [] NAME: TopMagnitudeNormalizer RECON_LOSS: NAME: l1 RENORMALIZE_DATA: true SEG: ACTIVATION: sigmoid CLASSES: [] INCLUDE_BACKGROUND: false SSDU: MASKER: PARAMS: {} META_ARCHITECTURE: GeneralizedUnrolledCNN UNET: BLOCK_ORDER: - conv - relu - conv - relu - batchnorm - dropout CHANNELS: 32 DROPOUT: 0.0 IN_CHANNELS: 2 NORMALIZE: false NUM_POOL_LAYERS: 4 OUT_CHANNELS: 2 UNROLLED: BLOCK_ARCHITECTURE: ResNet CONV_BLOCK: ACTIVATION: relu NORM: none NORM_AFFINE: false ORDER: - norm - act - drop - conv DROPOUT: 0.0 FIX_STEP_SIZE: false KERNEL_SIZE: - 3 NUM_EMAPS: 1 NUM_FEATURES: 128 NUM_RESBLOCKS: 2 NUM_UNROLLED_STEPS: 8 PADDING: '' SHARE_WEIGHTS: false WEIGHTS: '' OUTPUT_DIR: "results://meddlr/tests/basic" SEED: -1 SOLVER: BASE_LR: 0.0001 BIAS_LR_FACTOR: 1.0 CHECKPOINT_PERIOD: 20 GAMMA: 0.1 GRAD_ACCUM_ITERS: 1 LR_SCHEDULER_NAME: WarmupMultiStepLR MAX_ITER: 80 MOMENTUM: 0.9 OPTIMIZER: Adam STEPS: - 30000 TEST_BATCH_SIZE: 2 TRAIN_BATCH_SIZE: 1 WARMUP_FACTOR: 0.001 WARMUP_ITERS: 1000 WARMUP_METHOD: linear WEIGHT_DECAY: 0.0001 WEIGHT_DECAY_BIAS: 0.0001 WEIGHT_DECAY_NORM: 0.0 TEST: EVAL_PERIOD: 40 EXPECTED_RESULTS: [] FLUSH_PERIOD: 0 VAL_AS_TEST: true VAL_METRICS: RECON: [] TIME_SCALE: iter VERSION: 1 VIS_PERIOD: 20