# dataset-related
raw_data_dir: data/raw/videos
processed_data_dir: data/processed/videos
binary_data_dir: data/binary/videos
video_id: ''
task_cls: ''

# project-related
work_dir: ''
load_ckpt: ''
tb_log_interval: 100
val_check_interval: 1000
valid_infer_interval: 1000
num_sanity_val_steps: 5
num_valid_plots: 1
eval_max_batches: 10 # num_test_plots
print_nan_grads: false
resume_from_checkpoint: 0 # specify the step, 0 for latest
amp: false
valid_monitor_key: val_loss
valid_monitor_mode: min
save_best: true
debug: false
save_codes:
- tasks
- modules
- egs
accumulate_grad_batches: 1
clip_grad_norm: 1.

# training-scheme-related
task_cls: tasks.audio2pose.audio2pose.Audio2PoseTask
max_updates: 1_0000
seed: 9999
lr: 0.0005
optimizer_adam_beta1: 0.9
optimizer_adam_beta2: 0.999
scheduler: exponential # exponential|rsqrt|warmup|none|step_lr
warmup_updates: 1000

valid_infer_interval: 1000
val_check_interval: 1000
num_ckpt_keep: 10

source_name: ''
infer_out_npy_name: ''
reception_field: 100