config.yaml

accelerator: null
accumulate_grad_batches: null
alpha: 2
amp_backend: null
amp_level: null
arch: 18
auto_augment: null
auto_lr_find: false
auto_scale_batch_size: false
auto_select_gpus: null
batch_size: 128
benchmark: null
channels_last: false
check_val_every_n_epoch: 1
ckpt: null
corruption_severity: null
cutmix_alpha: 0
cutout: 0
default_root_dir: null
detect_anomaly: false
devices: null
dist_sim: emb
dropout_rate: 0.0
enable_checkpointing: true
enable_model_summary: true
enable_progress_bar: true
enable_resume: false
evaluate_ood: false
exp_dir: logs/
exp_name: packed-resnet18-c10
fast_dev_run: false
gamma: 1
gpus: 1
gradient_clip_algorithm: null
gradient_clip_val: null
groups: 1
in_channels: 3
inference_mode: true
ipus: null
kernel_tau_max: 1.0
kernel_tau_std: 0.5
limit_predict_batches: null
limit_test_batches: null
limit_train_batches: null
limit_val_batches: null
log_every_n_steps: 50
log_graph: false
log_plots: false
logger: true
max_epochs: 75
max_steps: -1
max_time: null
min_epochs: null
min_steps: null
mixmode: elem
mixtype: erm
mixup_alpha: 0
move_metrics_to_cpu: false
multiple_trainloader_mode: max_size_cycle
n_splits: 10
num_classes: 10
num_estimators: 4
num_nodes: 1
num_processes: null
num_sanity_val_steps: 2
num_workers: 4
opt_temp_scaling: false
overfit_batches: 0.0
plugins: null
precision: bf16
pretrained: false
profiler: null
reload_dataloaders_every_n_epochs: 0
replace_sampler_ddp: true
resume_from_checkpoint: null
seed: null
strategy: null
style: cifar
summary: false
sync_batchnorm: false
test: null
test_alt: null
tpu_cores: null
track_grad_norm: -1
train_over: 4
use_cv: false
use_entropy: false
use_logits: false
use_mi: false
use_variation_ratio: false
val_check_interval: null
val_split: 0.1
val_temp_scaling: false
version: packed