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Build error
dataset: | |
name: mvtec #options: [mvtec, btech, folder] | |
format: mvtec | |
path: ./datasets/MVTec | |
category: bottle | |
task: segmentation | |
image_size: 256 | |
train_batch_size: 16 | |
test_batch_size: 16 | |
inference_batch_size: 16 | |
fiber_batch_size: 64 | |
num_workers: 8 | |
transform_config: | |
train: null | |
val: null | |
create_validation_set: false | |
model: | |
name: cflow | |
backbone: wide_resnet50_2 | |
layers: | |
- layer2 | |
- layer3 | |
- layer4 | |
decoder: freia-cflow | |
condition_vector: 128 | |
coupling_blocks: 8 | |
clamp_alpha: 1.9 | |
soft_permutation: false | |
lr: 0.0001 | |
early_stopping: | |
patience: 2 | |
metric: pixel_AUROC | |
mode: max | |
normalization_method: min_max # options: [null, min_max, cdf] | |
threshold: | |
image_default: 0 | |
pixel_default: 0 | |
adaptive: true | |
metrics: | |
image: | |
- F1Score | |
- AUROC | |
pixel: | |
- F1Score | |
- AUROC | |
project: | |
seed: 0 | |
path: ./results | |
log_images_to: [local] | |
logger: false # options: [tensorboard, wandb, csv] or combinations. | |
# PL Trainer Args. Don't add extra parameter here. | |
trainer: | |
accelerator: auto # <"cpu", "gpu", "tpu", "ipu", "hpu", "auto"> | |
accumulate_grad_batches: 1 | |
amp_backend: native | |
auto_lr_find: false | |
auto_scale_batch_size: false | |
auto_select_gpus: false | |
benchmark: false | |
check_val_every_n_epoch: 1 | |
default_root_dir: null | |
detect_anomaly: false | |
deterministic: false | |
enable_checkpointing: true | |
enable_model_summary: true | |
enable_progress_bar: true | |
fast_dev_run: false | |
gpus: null # Set automatically | |
gradient_clip_val: 0 | |
ipus: null | |
limit_predict_batches: 1.0 | |
limit_test_batches: 1.0 | |
limit_train_batches: 1.0 | |
limit_val_batches: 1.0 | |
log_every_n_steps: 50 | |
log_gpu_memory: null | |
max_epochs: 50 | |
max_steps: -1 | |
max_time: null | |
min_epochs: null | |
min_steps: null | |
move_metrics_to_cpu: false | |
multiple_trainloader_mode: max_size_cycle | |
num_nodes: 1 | |
num_processes: 1 | |
num_sanity_val_steps: 0 | |
overfit_batches: 0.0 | |
plugins: null | |
precision: 32 | |
profiler: null | |
reload_dataloaders_every_n_epochs: 0 | |
replace_sampler_ddp: true | |
strategy: null | |
sync_batchnorm: false | |
tpu_cores: null | |
track_grad_norm: -1 | |
val_check_interval: 1.0 | |