if_resume_training: false
device: cuda
load: false
load_path: ''
dataset_main_path: ./datasets
dataset_annotation_path: ./datasets/annotations
dataset_precomputed_path: ./datasets/processed
output_log_path: ./trained_models/hmp/amass-mano/diffusion
pretrained_autoencoder_path: ./trained_models/hmp/amass-mano/autoencoder/checkpoints/cvpr_release.pt
lr: 0.001
diffusion_objective: pred_x0
weight_decay: 0.0
if_use_ema: true
step_start_ema: 100
ema_power: 0.6666666666666666
ema_update_every: 10
ema_min_value: 0.0
use_lr_scheduler: true
lr_scheduler_kwargs:
  lr_scheduler_type: ExponentialLRSchedulerWarmup
  warmup_duration: 75
  update_every: 2
  min_lr: 0.0001
  gamma_decay: 0.98
diffusion_conditioning: true
num_epochs: 150
num_workers: 4
batch_size: 64
batch_size_eval: 256
eval_frequency: 25
train_pick_best_sample_among_k: 50
similarity_space: input_space
diffusion_activation: identity
num_prob_samples: 50
diffusion_timesteps: 10
diffusion_type: NonisotropicGaussianDiffusion
diffusion_loss_type: snr
loss_reduction_type: l1
if_run_as_isotropic: false
if_sigma_n_scale: true
diffusion_covariance_type: skeleton-diffusion
gamma_scheduler: cosine
beta_schedule: cosine
sigma_n_scale: spectral
num_iter_perepoch: null
seed: 63485
diffusion_arch:
  arch: Denoiser
  use_attention: true
  self_condition: false
  norm_type: none
  depth: 4
  attn_dim_head: 32
  attn_heads: 8
  learn_influence: true
covariance_matrix_type: adjacency