Upload folder using huggingface_hub
Browse files
bimanual_rope_cam0/.hydra/config.yaml
ADDED
|
@@ -0,0 +1,291 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
experiment:
|
| 2 |
+
debug: ${debug}
|
| 3 |
+
tasks:
|
| 4 |
+
- training
|
| 5 |
+
num_nodes: 1
|
| 6 |
+
num_devices: 1
|
| 7 |
+
training:
|
| 8 |
+
precision: 32-true
|
| 9 |
+
compile: false
|
| 10 |
+
lr: 8.0e-05
|
| 11 |
+
batch_size: 4
|
| 12 |
+
max_epochs: -1
|
| 13 |
+
max_steps: 1000005
|
| 14 |
+
max_time: null
|
| 15 |
+
data:
|
| 16 |
+
num_workers: 4
|
| 17 |
+
shuffle: true
|
| 18 |
+
optim:
|
| 19 |
+
accumulate_grad_batches: 1
|
| 20 |
+
gradient_clip_val: 1.0
|
| 21 |
+
checkpointing:
|
| 22 |
+
every_n_train_steps: 10000
|
| 23 |
+
every_n_epochs: null
|
| 24 |
+
train_time_interval: null
|
| 25 |
+
enable_version_counter: false
|
| 26 |
+
log_every_n_steps: 100
|
| 27 |
+
validation:
|
| 28 |
+
precision: 16-mixed
|
| 29 |
+
compile: false
|
| 30 |
+
batch_size: 2
|
| 31 |
+
val_every_n_step: 30000
|
| 32 |
+
val_every_n_epoch: null
|
| 33 |
+
limit_batch: 1.0
|
| 34 |
+
inference_mode: true
|
| 35 |
+
data:
|
| 36 |
+
num_workers: 4
|
| 37 |
+
shuffle: false
|
| 38 |
+
test:
|
| 39 |
+
precision: 16-mixed
|
| 40 |
+
compile: false
|
| 41 |
+
batch_size: 8
|
| 42 |
+
limit_batch: 1
|
| 43 |
+
data:
|
| 44 |
+
num_workers: 16
|
| 45 |
+
shuffle: false
|
| 46 |
+
logging:
|
| 47 |
+
metrics:
|
| 48 |
+
- fvd
|
| 49 |
+
dataset:
|
| 50 |
+
debug: ${debug}
|
| 51 |
+
dataset_dir: /work/hdd/bcyd/ywang41/diffusion-forcing/data/real_aloha/bimanual_rope_1201
|
| 52 |
+
horizon: 10
|
| 53 |
+
aug_mode: none
|
| 54 |
+
n_frames: ${dataset.horizon}
|
| 55 |
+
observation_shape:
|
| 56 |
+
- 3
|
| 57 |
+
- ${dataset.resolution}
|
| 58 |
+
- ${dataset.resolution}
|
| 59 |
+
context_length: 2
|
| 60 |
+
frame_skip: ${dataset.skip_frame}
|
| 61 |
+
skip_frame: 1
|
| 62 |
+
pad_after: 7
|
| 63 |
+
pad_before: 1
|
| 64 |
+
rotation_rep: rotation_6d
|
| 65 |
+
seed: 42
|
| 66 |
+
val_ratio: 0.1
|
| 67 |
+
skip_idx: 1
|
| 68 |
+
use_cache: true
|
| 69 |
+
resolution: 128
|
| 70 |
+
obs_keys:
|
| 71 |
+
- camera_0_color
|
| 72 |
+
low_dim_keys: []
|
| 73 |
+
delta_action: false
|
| 74 |
+
goal_sample: intermediate
|
| 75 |
+
action_mode: bimanual_rope
|
| 76 |
+
load_mask: false
|
| 77 |
+
shape_meta:
|
| 78 |
+
action:
|
| 79 |
+
shape:
|
| 80 |
+
- 4
|
| 81 |
+
obs:
|
| 82 |
+
camera_0_color:
|
| 83 |
+
shape:
|
| 84 |
+
- 3
|
| 85 |
+
- ${dataset.resolution}
|
| 86 |
+
- ${dataset.resolution}
|
| 87 |
+
type: rgb
|
| 88 |
+
camera_1_color:
|
| 89 |
+
shape:
|
| 90 |
+
- 3
|
| 91 |
+
- ${dataset.resolution}
|
| 92 |
+
- ${dataset.resolution}
|
| 93 |
+
type: rgb
|
| 94 |
+
val_horizon: 200
|
| 95 |
+
algorithm:
|
| 96 |
+
debug: ${debug}
|
| 97 |
+
lr: ${experiment.training.lr}
|
| 98 |
+
weight_decay: 0.0001
|
| 99 |
+
warmup_steps: 10000
|
| 100 |
+
lr_scheduler: linear
|
| 101 |
+
optimizer_beta:
|
| 102 |
+
- 0.9
|
| 103 |
+
- 0.999
|
| 104 |
+
latent_dim: 512
|
| 105 |
+
action_dim: 8
|
| 106 |
+
enc_dim: 64
|
| 107 |
+
num_components: 1
|
| 108 |
+
obs_keys: ${dataset.obs_keys}
|
| 109 |
+
x_shape:
|
| 110 |
+
- ${eval:'3 * len(${dataset.obs_keys})'}
|
| 111 |
+
- ${dataset.resolution}
|
| 112 |
+
- ${dataset.resolution}
|
| 113 |
+
norm_scale: 6.0
|
| 114 |
+
num_latent_downsample: 2
|
| 115 |
+
num_views: ${eval:'len(${dataset.obs_keys})'}
|
| 116 |
+
num_latent_channel: ${eval:'4 * ${algorithm.num_views}'}
|
| 117 |
+
latent_resolution: ${eval:'${dataset.resolution} // int(2 ** ${algorithm.num_latent_downsample})'}
|
| 118 |
+
training_stage: 2
|
| 119 |
+
load_ae: ${eval:'None'}
|
| 120 |
+
dtype: ${torch:float}
|
| 121 |
+
mask_prev_action: false
|
| 122 |
+
device: cuda
|
| 123 |
+
noise_level: log_normal
|
| 124 |
+
val_render: true
|
| 125 |
+
scheduling_matrix: autoregressive
|
| 126 |
+
uncertainty_scale: 1.0
|
| 127 |
+
guidance_scale: 1.0
|
| 128 |
+
n_frames: ${dataset.horizon}
|
| 129 |
+
dyn_infer_steps: 1
|
| 130 |
+
dec_infer_steps: 3
|
| 131 |
+
last_frame_loss_only: false
|
| 132 |
+
prev_frame_noise_scale: 0.1
|
| 133 |
+
robust_latent: false
|
| 134 |
+
delta: ${eval:'0.00054 * ${algorithm.num_latent_channel} * ${algorithm.latent_resolution}
|
| 135 |
+
* ${algorithm.latent_resolution}'}
|
| 136 |
+
sampling_strategy: terminal_only
|
| 137 |
+
sampling_strategy_params: []
|
| 138 |
+
dynamics:
|
| 139 |
+
_target_: interactive_world_sim.algorithms.latent_dynamics.models.cm_latent_dynamics.CMLatentDynamics
|
| 140 |
+
action_dim: ${algorithm.action_dim}
|
| 141 |
+
latent_dim: ${algorithm.num_latent_channel}
|
| 142 |
+
dim: 64
|
| 143 |
+
action_emb_dim: 512
|
| 144 |
+
resnet_block_groups: 8
|
| 145 |
+
dim_mults:
|
| 146 |
+
- 1
|
| 147 |
+
- 2
|
| 148 |
+
attn_dim_head: 128
|
| 149 |
+
attn_heads: 4
|
| 150 |
+
use_linear_attn: true
|
| 151 |
+
use_init_temporal_attn: true
|
| 152 |
+
init_kernel_size: 5
|
| 153 |
+
is_causal: true
|
| 154 |
+
time_emb_type: rotary
|
| 155 |
+
dtype: ${algorithm.dtype}
|
| 156 |
+
noise_scheduler:
|
| 157 |
+
_target_: interactive_world_sim.utils.cm_utils.DDPMScheduler
|
| 158 |
+
x_shape: ${algorithm.x_shape}
|
| 159 |
+
timesteps: ${algorithm.diffusion.timesteps}
|
| 160 |
+
sampling_timesteps: ${algorithm.diffusion.sampling_timesteps}
|
| 161 |
+
beta_schedule: ${algorithm.diffusion.beta_schedule}
|
| 162 |
+
schedule_fn_kwargs: ${algorithm.diffusion.schedule_fn_kwargs}
|
| 163 |
+
objective: ${algorithm.diffusion.objective}
|
| 164 |
+
loss_weighting: uniform
|
| 165 |
+
snr_clip: 5.0
|
| 166 |
+
cum_snr_decay: ${algorithm.diffusion.cum_snr_decay}
|
| 167 |
+
ddim_sampling_eta: ${algorithm.diffusion.ddim_sampling_eta}
|
| 168 |
+
clip_noise: ${algorithm.diffusion.clip_noise}
|
| 169 |
+
stabilization_level: ${algorithm.diffusion.stabilization_level}
|
| 170 |
+
dtype: ${algorithm.dtype}
|
| 171 |
+
diffusion:
|
| 172 |
+
beta_schedule: sigmoid
|
| 173 |
+
objective: pred_v
|
| 174 |
+
use_fused_snr: true
|
| 175 |
+
cum_snr_decay: 0.96
|
| 176 |
+
clip_noise: 6.0
|
| 177 |
+
schedule_fn_kwargs: {}
|
| 178 |
+
timesteps: 1000
|
| 179 |
+
sampling_timesteps: 50
|
| 180 |
+
ddim_sampling_eta: 0.0
|
| 181 |
+
snr_clip: 5.0
|
| 182 |
+
model_channels: ${algorithm.enc_dim}
|
| 183 |
+
num_latent_downsample: ${algorithm.num_latent_downsample}
|
| 184 |
+
num_latent_channel: ${algorithm.num_latent_channel}
|
| 185 |
+
num_res_blocks: 2
|
| 186 |
+
attention_resolutions:
|
| 187 |
+
- 2
|
| 188 |
+
- 4
|
| 189 |
+
- 8
|
| 190 |
+
dropout: 0.1
|
| 191 |
+
channel_mult:
|
| 192 |
+
- 1
|
| 193 |
+
- 2
|
| 194 |
+
- 3
|
| 195 |
+
num_head_channels: 64
|
| 196 |
+
resblock_updown: true
|
| 197 |
+
use_scale_shift_norm: true
|
| 198 |
+
num_components: ${algorithm.num_components}
|
| 199 |
+
image_size: ${dataset.resolution}
|
| 200 |
+
stabilization_level: 15
|
| 201 |
+
metrics:
|
| 202 |
+
- fvd
|
| 203 |
+
cost_fn:
|
| 204 |
+
debug: ${debug}
|
| 205 |
+
lr: ${experiment.training.lr}
|
| 206 |
+
cfg_ae:
|
| 207 |
+
debug: ${debug}
|
| 208 |
+
lr: ${experiment.training.lr}
|
| 209 |
+
weight_decay: 0.0001
|
| 210 |
+
warmup_steps: 10000
|
| 211 |
+
optimizer_beta:
|
| 212 |
+
- 0.9
|
| 213 |
+
- 0.999
|
| 214 |
+
latent_dim: 32
|
| 215 |
+
action_dim: 10
|
| 216 |
+
enc_dim: 64
|
| 217 |
+
num_components: 1
|
| 218 |
+
obs_keys: ${dataset.obs_keys}
|
| 219 |
+
x_shape:
|
| 220 |
+
- ${eval:'3 * len(${dataset.obs_keys})'}
|
| 221 |
+
- ${dataset.resolution}
|
| 222 |
+
- ${dataset.resolution}
|
| 223 |
+
norm_scale: 6.0
|
| 224 |
+
num_latent_downsample: 2
|
| 225 |
+
num_latent_channel: 4
|
| 226 |
+
training_stage: 1
|
| 227 |
+
load_ae: ${eval:'None'}
|
| 228 |
+
device: cuda
|
| 229 |
+
noise_level: random_all
|
| 230 |
+
dynamics:
|
| 231 |
+
_target_: algorithms.latent_dynamics.models.film_conv2d_dyn_v3.FiLMConv2DV3Dyn
|
| 232 |
+
horizon: 9
|
| 233 |
+
action_dim: ${cost_fn.cfg_ae.action_dim}
|
| 234 |
+
cond_dim: ${cost_fn.cfg_ae.num_latent_channel}
|
| 235 |
+
diffusion:
|
| 236 |
+
beta_schedule: sigmoid
|
| 237 |
+
objective: pred_v
|
| 238 |
+
use_fused_snr: true
|
| 239 |
+
cum_snr_decay: 0.96
|
| 240 |
+
clip_noise: 6.0
|
| 241 |
+
schedule_fn_kwargs: {}
|
| 242 |
+
timesteps: 1000
|
| 243 |
+
sampling_timesteps: 50
|
| 244 |
+
ddim_sampling_eta: 0.0
|
| 245 |
+
snr_clip: 5.0
|
| 246 |
+
model_channels: ${cost_fn.cfg_ae.enc_dim}
|
| 247 |
+
num_latent_downsample: ${cost_fn.cfg_ae.num_latent_downsample}
|
| 248 |
+
num_latent_channel: ${cost_fn.cfg_ae.num_latent_channel}
|
| 249 |
+
num_res_blocks: 2
|
| 250 |
+
attention_resolutions:
|
| 251 |
+
- 2
|
| 252 |
+
- 4
|
| 253 |
+
- 8
|
| 254 |
+
dropout: 0.1
|
| 255 |
+
channel_mult:
|
| 256 |
+
- 1
|
| 257 |
+
- 2
|
| 258 |
+
- 3
|
| 259 |
+
num_head_channels: 64
|
| 260 |
+
resblock_updown: true
|
| 261 |
+
use_scale_shift_norm: true
|
| 262 |
+
num_components: ${cost_fn.cfg_ae.num_components}
|
| 263 |
+
image_size: ${dataset.resolution}
|
| 264 |
+
stabilization_level: 15
|
| 265 |
+
metrics:
|
| 266 |
+
- fvd
|
| 267 |
+
weight_decay: 0.0001
|
| 268 |
+
warmup_steps: 10000
|
| 269 |
+
optimizer_beta:
|
| 270 |
+
- 0.9
|
| 271 |
+
- 0.999
|
| 272 |
+
obs_keys: ${dataset.obs_keys}
|
| 273 |
+
x_shape:
|
| 274 |
+
- ${eval:'${cost_fn.cfg_ae.num_latent_channel} * len(${dataset.obs_keys})'}
|
| 275 |
+
- ${eval:'${dataset.resolution} // int(2 ** ${cost_fn.cfg_ae.num_latent_downsample})'}
|
| 276 |
+
- ${eval:'${dataset.resolution} // int(2 ** ${cost_fn.cfg_ae.num_latent_downsample})'}
|
| 277 |
+
load_ae: ${eval:'None'}
|
| 278 |
+
latent_dim: 512
|
| 279 |
+
enc_dim: 16
|
| 280 |
+
mlp_dims:
|
| 281 |
+
- 1024
|
| 282 |
+
- 512
|
| 283 |
+
device: cuda
|
| 284 |
+
debug: false
|
| 285 |
+
wandb:
|
| 286 |
+
entity: yixuan1999
|
| 287 |
+
project: diffusion-forcing
|
| 288 |
+
mode: online
|
| 289 |
+
resume: null
|
| 290 |
+
load: null
|
| 291 |
+
name: train_dyn_latent_student_v1_4_bimanual_rope_1201_cam_0_stage_2
|
bimanual_rope_cam0/.hydra/hydra.yaml
ADDED
|
@@ -0,0 +1,193 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
hydra:
|
| 2 |
+
run:
|
| 3 |
+
dir: outputs/${now:%Y-%m-%d}/${now:%H-%M-%S}
|
| 4 |
+
sweep:
|
| 5 |
+
dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
|
| 6 |
+
subdir: ${hydra.job.num}
|
| 7 |
+
launcher:
|
| 8 |
+
_target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
|
| 9 |
+
sweeper:
|
| 10 |
+
_target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
|
| 11 |
+
max_batch_size: null
|
| 12 |
+
params: null
|
| 13 |
+
help:
|
| 14 |
+
app_name: ${hydra.job.name}
|
| 15 |
+
header: '${hydra.help.app_name} is powered by Hydra.
|
| 16 |
+
|
| 17 |
+
'
|
| 18 |
+
footer: 'Powered by Hydra (https://hydra.cc)
|
| 19 |
+
|
| 20 |
+
Use --hydra-help to view Hydra specific help
|
| 21 |
+
|
| 22 |
+
'
|
| 23 |
+
template: '${hydra.help.header}
|
| 24 |
+
|
| 25 |
+
== Configuration groups ==
|
| 26 |
+
|
| 27 |
+
Compose your configuration from those groups (group=option)
|
| 28 |
+
|
| 29 |
+
|
| 30 |
+
$APP_CONFIG_GROUPS
|
| 31 |
+
|
| 32 |
+
|
| 33 |
+
== Config ==
|
| 34 |
+
|
| 35 |
+
Override anything in the config (foo.bar=value)
|
| 36 |
+
|
| 37 |
+
|
| 38 |
+
$CONFIG
|
| 39 |
+
|
| 40 |
+
|
| 41 |
+
${hydra.help.footer}
|
| 42 |
+
|
| 43 |
+
'
|
| 44 |
+
hydra_help:
|
| 45 |
+
template: 'Hydra (${hydra.runtime.version})
|
| 46 |
+
|
| 47 |
+
See https://hydra.cc for more info.
|
| 48 |
+
|
| 49 |
+
|
| 50 |
+
== Flags ==
|
| 51 |
+
|
| 52 |
+
$FLAGS_HELP
|
| 53 |
+
|
| 54 |
+
|
| 55 |
+
== Configuration groups ==
|
| 56 |
+
|
| 57 |
+
Compose your configuration from those groups (For example, append hydra/job_logging=disabled
|
| 58 |
+
to command line)
|
| 59 |
+
|
| 60 |
+
|
| 61 |
+
$HYDRA_CONFIG_GROUPS
|
| 62 |
+
|
| 63 |
+
|
| 64 |
+
Use ''--cfg hydra'' to Show the Hydra config.
|
| 65 |
+
|
| 66 |
+
'
|
| 67 |
+
hydra_help: ???
|
| 68 |
+
hydra_logging:
|
| 69 |
+
version: 1
|
| 70 |
+
formatters:
|
| 71 |
+
simple:
|
| 72 |
+
format: '[%(asctime)s][HYDRA] %(message)s'
|
| 73 |
+
handlers:
|
| 74 |
+
console:
|
| 75 |
+
class: logging.StreamHandler
|
| 76 |
+
formatter: simple
|
| 77 |
+
stream: ext://sys.stdout
|
| 78 |
+
root:
|
| 79 |
+
level: INFO
|
| 80 |
+
handlers:
|
| 81 |
+
- console
|
| 82 |
+
loggers:
|
| 83 |
+
logging_example:
|
| 84 |
+
level: DEBUG
|
| 85 |
+
disable_existing_loggers: false
|
| 86 |
+
job_logging:
|
| 87 |
+
version: 1
|
| 88 |
+
formatters:
|
| 89 |
+
simple:
|
| 90 |
+
format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
|
| 91 |
+
handlers:
|
| 92 |
+
console:
|
| 93 |
+
class: logging.StreamHandler
|
| 94 |
+
formatter: simple
|
| 95 |
+
stream: ext://sys.stdout
|
| 96 |
+
file:
|
| 97 |
+
class: logging.FileHandler
|
| 98 |
+
formatter: simple
|
| 99 |
+
filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
|
| 100 |
+
root:
|
| 101 |
+
level: INFO
|
| 102 |
+
handlers:
|
| 103 |
+
- console
|
| 104 |
+
- file
|
| 105 |
+
disable_existing_loggers: false
|
| 106 |
+
env: {}
|
| 107 |
+
mode: RUN
|
| 108 |
+
searchpath: []
|
| 109 |
+
callbacks: {}
|
| 110 |
+
output_subdir: .hydra
|
| 111 |
+
overrides:
|
| 112 |
+
hydra:
|
| 113 |
+
- hydra.mode=RUN
|
| 114 |
+
task:
|
| 115 |
+
- +name=train_dyn_latent_student_v1_4_bimanual_rope_1201_cam_0_stage_2
|
| 116 |
+
- algorithm=student_v1_4
|
| 117 |
+
- experiment=exp_latent_dyn
|
| 118 |
+
- dataset=real_aloha_dataset
|
| 119 |
+
- dataset.dataset_dir=/work/hdd/bcyd/ywang41/diffusion-forcing/data/real_aloha/bimanual_rope_1201
|
| 120 |
+
- dataset.horizon=10
|
| 121 |
+
- +dataset.val_horizon=200
|
| 122 |
+
- dataset.skip_frame=1
|
| 123 |
+
- dataset.obs_keys=[camera_0_color]
|
| 124 |
+
- dataset.action_mode=bimanual_rope
|
| 125 |
+
- experiment.training.batch_size=4
|
| 126 |
+
- experiment.training.max_steps=1000005
|
| 127 |
+
- experiment.training.log_every_n_steps=100
|
| 128 |
+
- experiment.validation.limit_batch=1.0
|
| 129 |
+
- experiment.validation.batch_size=2
|
| 130 |
+
- experiment.validation.val_every_n_step=30000
|
| 131 |
+
- experiment.training.checkpointing.every_n_train_steps=10000
|
| 132 |
+
- experiment.training.data.num_workers=4
|
| 133 |
+
- experiment.validation.data.num_workers=4
|
| 134 |
+
- algorithm.latent_dim=512
|
| 135 |
+
- algorithm.action_dim=8
|
| 136 |
+
- algorithm.training_stage=2
|
| 137 |
+
- algorithm.mask_prev_action=False
|
| 138 |
+
- algorithm.lr_scheduler=linear
|
| 139 |
+
- algorithm.noise_scheduler.loss_weighting=uniform
|
| 140 |
+
- algorithm.noise_scheduler.snr_clip=5.0
|
| 141 |
+
- algorithm.sampling_strategy=terminal_only
|
| 142 |
+
- algorithm.sampling_strategy_params=[]
|
| 143 |
+
- algorithm.dyn_infer_steps=1
|
| 144 |
+
- algorithm.dec_infer_steps=3
|
| 145 |
+
- algorithm.prev_frame_noise_scale=0.1
|
| 146 |
+
- algorithm.last_frame_loss_only=False
|
| 147 |
+
- algorithm.load_ae=outputs/2025-12-07/13-24-13/checkpoints/epoch\=29-step\=880000.ckpt
|
| 148 |
+
job:
|
| 149 |
+
name: main
|
| 150 |
+
chdir: null
|
| 151 |
+
override_dirname: +dataset.val_horizon=200,+name=train_dyn_latent_student_v1_4_bimanual_rope_1201_cam_0_stage_2,algorithm.action_dim=8,algorithm.dec_infer_steps=3,algorithm.dyn_infer_steps=1,algorithm.last_frame_loss_only=False,algorithm.latent_dim=512,algorithm.load_ae=outputs/2025-12-07/13-24-13/checkpoints/epoch\=29-step\=880000.ckpt,algorithm.lr_scheduler=linear,algorithm.mask_prev_action=False,algorithm.noise_scheduler.loss_weighting=uniform,algorithm.noise_scheduler.snr_clip=5.0,algorithm.prev_frame_noise_scale=0.1,algorithm.sampling_strategy=terminal_only,algorithm.sampling_strategy_params=[],algorithm.training_stage=2,algorithm=student_v1_4,dataset.action_mode=bimanual_rope,dataset.dataset_dir=/work/hdd/bcyd/ywang41/diffusion-forcing/data/real_aloha/bimanual_rope_1201,dataset.horizon=10,dataset.obs_keys=[camera_0_color],dataset.skip_frame=1,dataset=real_aloha_dataset,experiment.training.batch_size=4,experiment.training.checkpointing.every_n_train_steps=10000,experiment.training.data.num_workers=4,experiment.training.log_every_n_steps=100,experiment.training.max_steps=1000005,experiment.validation.batch_size=2,experiment.validation.data.num_workers=4,experiment.validation.limit_batch=1.0,experiment.validation.val_every_n_step=30000,experiment=exp_latent_dyn
|
| 152 |
+
id: ???
|
| 153 |
+
num: ???
|
| 154 |
+
config_name: config
|
| 155 |
+
env_set: {}
|
| 156 |
+
env_copy: []
|
| 157 |
+
config:
|
| 158 |
+
override_dirname:
|
| 159 |
+
kv_sep: '='
|
| 160 |
+
item_sep: ','
|
| 161 |
+
exclude_keys: []
|
| 162 |
+
runtime:
|
| 163 |
+
version: 1.3.2
|
| 164 |
+
version_base: '1.3'
|
| 165 |
+
cwd: /projects/bcyd/ywang41/diffusion-forcing
|
| 166 |
+
config_sources:
|
| 167 |
+
- path: hydra.conf
|
| 168 |
+
schema: pkg
|
| 169 |
+
provider: hydra
|
| 170 |
+
- path: /projects/bcyd/ywang41/diffusion-forcing/configurations
|
| 171 |
+
schema: file
|
| 172 |
+
provider: main
|
| 173 |
+
- path: ''
|
| 174 |
+
schema: structured
|
| 175 |
+
provider: schema
|
| 176 |
+
output_dir: /projects/bcyd/ywang41/diffusion-forcing/outputs/2026-01-07/23-27-27
|
| 177 |
+
choices:
|
| 178 |
+
cost_fn: cost_fn_v0_2
|
| 179 |
+
cost_fn/cfg_ae: latent_dyn_v3_2_film
|
| 180 |
+
cluster: null
|
| 181 |
+
algorithm: student_v1_4
|
| 182 |
+
dataset: real_aloha_dataset
|
| 183 |
+
experiment: exp_latent_dyn
|
| 184 |
+
hydra/env: default
|
| 185 |
+
hydra/callbacks: null
|
| 186 |
+
hydra/job_logging: default
|
| 187 |
+
hydra/hydra_logging: default
|
| 188 |
+
hydra/hydra_help: default
|
| 189 |
+
hydra/help: default
|
| 190 |
+
hydra/sweeper: basic
|
| 191 |
+
hydra/launcher: basic
|
| 192 |
+
hydra/output: default
|
| 193 |
+
verbose: false
|
bimanual_rope_cam0/.hydra/overrides.yaml
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
- +name=train_dyn_latent_student_v1_4_bimanual_rope_1201_cam_0_stage_2
|
| 2 |
+
- algorithm=student_v1_4
|
| 3 |
+
- experiment=exp_latent_dyn
|
| 4 |
+
- dataset=real_aloha_dataset
|
| 5 |
+
- dataset.dataset_dir=/work/hdd/bcyd/ywang41/diffusion-forcing/data/real_aloha/bimanual_rope_1201
|
| 6 |
+
- dataset.horizon=10
|
| 7 |
+
- +dataset.val_horizon=200
|
| 8 |
+
- dataset.skip_frame=1
|
| 9 |
+
- dataset.obs_keys=[camera_0_color]
|
| 10 |
+
- dataset.action_mode=bimanual_rope
|
| 11 |
+
- experiment.training.batch_size=4
|
| 12 |
+
- experiment.training.max_steps=1000005
|
| 13 |
+
- experiment.training.log_every_n_steps=100
|
| 14 |
+
- experiment.validation.limit_batch=1.0
|
| 15 |
+
- experiment.validation.batch_size=2
|
| 16 |
+
- experiment.validation.val_every_n_step=30000
|
| 17 |
+
- experiment.training.checkpointing.every_n_train_steps=10000
|
| 18 |
+
- experiment.training.data.num_workers=4
|
| 19 |
+
- experiment.validation.data.num_workers=4
|
| 20 |
+
- algorithm.latent_dim=512
|
| 21 |
+
- algorithm.action_dim=8
|
| 22 |
+
- algorithm.training_stage=2
|
| 23 |
+
- algorithm.mask_prev_action=False
|
| 24 |
+
- algorithm.lr_scheduler=linear
|
| 25 |
+
- algorithm.noise_scheduler.loss_weighting=uniform
|
| 26 |
+
- algorithm.noise_scheduler.snr_clip=5.0
|
| 27 |
+
- algorithm.sampling_strategy=terminal_only
|
| 28 |
+
- algorithm.sampling_strategy_params=[]
|
| 29 |
+
- algorithm.dyn_infer_steps=1
|
| 30 |
+
- algorithm.dec_infer_steps=3
|
| 31 |
+
- algorithm.prev_frame_noise_scale=0.1
|
| 32 |
+
- algorithm.last_frame_loss_only=False
|
| 33 |
+
- algorithm.load_ae=outputs/2025-12-07/13-24-13/checkpoints/epoch\=29-step\=880000.ckpt
|
bimanual_rope_cam0/checkpoints/best.ckpt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8fd50e6b05eed1866ded620fe5177dc00fed0a6d9d8cf969f72b0651382944a1
|
| 3 |
+
size 232147820
|