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mld_miko_finetune_v5/args.yaml

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+"# tyro YAML.\n!dataclass:MLDArgs\ndata_args: !dataclass:DataArgs\n  body_type: smplx\n\
+  \  cfg_path: ./config_files/config_hydra/motion_primitive/mp_h2_f8_r4.yaml\n  data_dir:\
+  \ ./data/mixed_filtered_seq_data_zero_male\n  dataset: mp_seq_v2\n  enforce_gender:\
+  \ male\n  enforce_zero_beta: 1\n  feature_dim: 276\n  future_length: 8\n  history_length:\
+  \ 2\n  num_primitive: 4\n  prob_static: 0.0\n  text_tolerance: 0.0\n  weight_scheme:\
+  \ text_samp:0.\ndenoiser_args: !dataclass:DenoiserArgs\n  diffusion_args: !dataclass:DiffusionArgs\n\
+  \    diffusion_steps: 10\n    noise_schedule: cosine\n    respacing: ''\n    sigma_small:\
+  \ true\n  model_args: !dataclass:DenoiserTransformerArgs\n    activation: gelu\n\
+  \    clip_dim: 512\n    cond_mask_prob: 0.1\n    dropout: 0.1\n    ff_size: 1024\n\
+  \    h_dim: 512\n    history_shape: !!python/tuple\n    - 2\n    - 276\n    noise_shape:\
+  \ !!python/tuple\n    - 1\n    - 256\n    num_heads: 4\n    num_layers: 8\n  model_type:\
+  \ transformer\n  mvae_path: ./mvae/mvae_miko_finetuned_v5/checkpoint_230000.pt\n\
+  \  rescale_latent: 1\n  train_rollout_history: rollout\n  train_rollout_type: full\n\
+  device: cuda\nexp_name: mld_miko_finetune_v5\nsave_dir: !!python/object/apply:pathlib.PosixPath\n\
+  - mld_denoiser\n- mld_miko_finetune_v5\nseed: 0\ntorch_deterministic: true\ntrack:\
+  \ 1\ntrain_args: !dataclass:TrainArgs\n  anneal_lr: 1\n  batch_size: 1024\n  ema_decay:\
+  \ 0.999\n  grad_clip: 1.0\n  learning_rate: 0.0001\n  log_interval: 1000\n  resume_checkpoint:\
+  \ ./mld_denoiser/mld_miko_finetune_v5/checkpoint_310000.pt\n  save_interval: 5000\n\
+  \  stage1_steps: 120000\n  stage2_steps: 120000\n  stage3_steps: 120000\n  use_amp:\
+  \ 1\n  use_predicted_joints: 0\n  val_interval: 10000\n  weight_feature_rec: 1.0\n\
+  \  weight_joints_consistency: 0.0\n  weight_joints_delta: 10000.0\n  weight_kl:\
+  \ 0.0001\n  weight_latent_rec: 1.0\n  weight_orient_delta: 10000.0\n  weight_rec:\
+  \ 1.0\n  weight_smpl_joints_rec: 0.0\n  weight_transl_delta: 10000.0\nwandb_entity:\
+  \ interaction\nwandb_project_name: mld_denoiser\n"

mld_miko_finetune_v5/args_read.yaml

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+data_args:
+  body_type: smplx
+  cfg_path: ./config_files/config_hydra/motion_primitive/mp_h2_f8_r4.yaml
+  data_dir: ./data/mixed_filtered_seq_data_zero_male
+  dataset: mp_seq_v2
+  enforce_gender: male
+  enforce_zero_beta: 1
+  feature_dim: 276
+  future_length: 8
+  history_length: 2
+  num_primitive: 4
+  prob_static: 0.0
+  text_tolerance: 0.0
+  weight_scheme: text_samp:0.
+denoiser_args:
+  diffusion_args:
+    diffusion_steps: 10
+    noise_schedule: cosine
+    respacing: ''
+    sigma_small: true
+  model_args:
+    activation: gelu
+    clip_dim: 512
+    cond_mask_prob: 0.1
+    dropout: 0.1
+    ff_size: 1024
+    h_dim: 512
+    history_shape: !!python/tuple
+    - 2
+    - 276
+    noise_shape: !!python/tuple
+    - 1
+    - 256
+    num_heads: 4
+    num_layers: 8
+  model_type: transformer
+  mvae_path: ./mvae/mvae_miko_finetuned_v5/checkpoint_230000.pt
+  rescale_latent: 1
+  train_rollout_history: rollout
+  train_rollout_type: full
+device: cuda
+exp_name: mld_miko_finetune_v5
+save_dir: !!python/object/apply:pathlib.PosixPath
+- mld_denoiser
+- mld_miko_finetune_v5
+seed: 0
+torch_deterministic: true
+track: 1
+train_args:
+  anneal_lr: 1
+  batch_size: 1024
+  ema_decay: 0.999
+  grad_clip: 1.0
+  learning_rate: 0.0001
+  log_interval: 1000
+  resume_checkpoint: ./mld_denoiser/mld_miko_finetune_v5/checkpoint_310000.pt
+  save_interval: 5000
+  stage1_steps: 120000
+  stage2_steps: 120000
+  stage3_steps: 120000
+  use_amp: 1
+  use_predicted_joints: 0
+  val_interval: 10000
+  weight_feature_rec: 1.0
+  weight_joints_consistency: 0.0
+  weight_joints_delta: 10000.0
+  weight_kl: 0.0001
+  weight_latent_rec: 1.0
+  weight_orient_delta: 10000.0
+  weight_rec: 1.0
+  weight_smpl_joints_rec: 0.0
+  weight_transl_delta: 10000.0
+wandb_entity: interaction
+wandb_project_name: mld_denoiser

mld_miko_finetune_v5/checkpoint_305000.pt

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