Upload folder using huggingface_hub
Browse files- .gitattributes +3 -0
- PushT/config.yaml +187 -0
- PushT/metrics/logs.json.txt +21 -0
- PushT/metrics/metrics.json +13 -0
- PushT/metrics/metrics.log +29 -0
- PushT/train_0/.hydra/config.yaml +159 -0
- PushT/train_0/.hydra/hydra.yaml +168 -0
- PushT/train_0/.hydra/overrides.yaml +6 -0
- PushT/train_0/checkpoints/epoch=0250-test_mean_score=0.842.ckpt +3 -0
- PushT/train_0/logs.json.txt +3 -0
- PushT/train_0/train.log +7 -0
- PushT/train_1/.hydra/config.yaml +159 -0
- PushT/train_1/.hydra/hydra.yaml +168 -0
- PushT/train_1/.hydra/overrides.yaml +6 -0
- PushT/train_1/checkpoints/epoch=0200-test_mean_score=0.823.ckpt +3 -0
- PushT/train_1/logs.json.txt +3 -0
- PushT/train_1/train.log +7 -0
- PushT/train_2/.hydra/config.yaml +159 -0
- PushT/train_2/.hydra/hydra.yaml +168 -0
- PushT/train_2/.hydra/overrides.yaml +6 -0
- PushT/train_2/checkpoints/epoch=0200-test_mean_score=0.807.ckpt +3 -0
- PushT/train_2/logs.json.txt +3 -0
- PushT/train_2/train.log +7 -0
.gitattributes
CHANGED
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@@ -55,3 +55,6 @@ Can/train_2/logs.json.txt filter=lfs diff=lfs merge=lfs -text
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Square/train_0/logs.json.txt filter=lfs diff=lfs merge=lfs -text
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Square/train_1/logs.json.txt filter=lfs diff=lfs merge=lfs -text
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Square/train_2/logs.json.txt filter=lfs diff=lfs merge=lfs -text
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Square/train_0/logs.json.txt filter=lfs diff=lfs merge=lfs -text
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Square/train_1/logs.json.txt filter=lfs diff=lfs merge=lfs -text
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| 57 |
Square/train_2/logs.json.txt filter=lfs diff=lfs merge=lfs -text
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+
PushT/train_0/logs.json.txt filter=lfs diff=lfs merge=lfs -text
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PushT/train_1/logs.json.txt filter=lfs diff=lfs merge=lfs -text
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PushT/train_2/logs.json.txt filter=lfs diff=lfs merge=lfs -text
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PushT/config.yaml
ADDED
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@@ -0,0 +1,187 @@
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| 1 |
+
_target_: diffusion_policy.workspace.train_tedi_unet_hybrid_workspace.TrainTEDIUnetHybridWorkspace
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| 2 |
+
checkpoint:
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| 3 |
+
save_last_ckpt: false
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| 4 |
+
save_last_snapshot: false
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| 5 |
+
topk:
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| 6 |
+
format_str: epoch={epoch:04d}-test_mean_score={test_mean_score:.3f}.ckpt
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| 7 |
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k: 1
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| 8 |
+
mode: max
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| 9 |
+
monitor_key: test_mean_score
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| 10 |
+
dataloader:
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| 11 |
+
batch_size: 64
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| 12 |
+
num_workers: 16
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| 13 |
+
persistent_workers: true
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| 14 |
+
pin_memory: true
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| 15 |
+
shuffle: true
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| 16 |
+
dataset_obs_steps: 2
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| 17 |
+
ema:
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+
_target_: diffusion_policy.model.diffusion.ema_model.EMAModel
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| 19 |
+
inv_gamma: 1.0
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| 20 |
+
max_value: 0.9999
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| 21 |
+
min_value: 0.0
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| 22 |
+
power: 0.75
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| 23 |
+
update_after_step: 0
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| 24 |
+
exp_name: default
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| 25 |
+
horizon: 20
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| 26 |
+
keypoint_visible_rate: 1.0
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| 27 |
+
logging:
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| 28 |
+
group: null
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| 29 |
+
id: null
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| 30 |
+
mode: online
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| 31 |
+
name: 2024.11.20-18.08.46_train_tedi_unet_hybrid_pusht_image
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| 32 |
+
project: diffusion_policy_debug
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| 33 |
+
resume: true
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| 34 |
+
tags:
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+
- train_tedi_unet_hybrid
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| 36 |
+
- pusht_image
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+
- default
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| 38 |
+
multi_run:
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+
run_dir: data/outputs/2024.11.20/18.08.46_train_tedi_unet_hybrid_pusht_image
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| 40 |
+
wandb_name_base: 2024.11.20-18.08.46_train_tedi_unet_hybrid_pusht_image
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| 41 |
+
n_action_steps: 8
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| 42 |
+
n_latency_steps: 0
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| 43 |
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n_obs_steps: 2
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| 44 |
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name: train_tedi_unet_hybrid
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+
obs_as_global_cond: true
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| 46 |
+
optimizer:
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| 47 |
+
_target_: torch.optim.AdamW
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| 48 |
+
betas:
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- 0.95
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- 0.999
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| 51 |
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eps: 1.0e-08
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lr: 0.0001
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| 53 |
+
weight_decay: 1.0e-06
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| 54 |
+
past_action_visible: false
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| 55 |
+
policy:
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+
_target_: diffusion_policy.policy.tedi_unet_hybrid_image_policy.TEDIUnetHybridImagePolicy
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| 57 |
+
buffer_init: zero
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| 58 |
+
chunk_wise_weight: 0.8
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| 59 |
+
cond_predict_scale: true
|
| 60 |
+
crop_shape:
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| 61 |
+
- 84
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| 62 |
+
- 84
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| 63 |
+
diffusion_step_embed_dim: 128
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| 64 |
+
down_dims:
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| 65 |
+
- 512
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| 66 |
+
- 1024
|
| 67 |
+
- 2048
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| 68 |
+
eval_fixed_crop: true
|
| 69 |
+
horizon: 20
|
| 70 |
+
kernel_size: 5
|
| 71 |
+
n_action_steps: 8
|
| 72 |
+
n_groups: 8
|
| 73 |
+
n_obs_steps: 2
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| 74 |
+
noise_scheduler:
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| 75 |
+
_target_: diffusion_policy.policy.schedulers.DDPMTEDiScheduler
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| 76 |
+
beta_end: 0.02
|
| 77 |
+
beta_schedule: squaredcos_cap_v2
|
| 78 |
+
beta_start: 0.0001
|
| 79 |
+
clip_sample: true
|
| 80 |
+
num_train_timesteps: 100
|
| 81 |
+
prediction_type: epsilon
|
| 82 |
+
variance_type: fixed_small
|
| 83 |
+
num_inference_steps: 100
|
| 84 |
+
obs_as_global_cond: true
|
| 85 |
+
obs_encoder_group_norm: true
|
| 86 |
+
shape_meta:
|
| 87 |
+
action:
|
| 88 |
+
shape:
|
| 89 |
+
- 2
|
| 90 |
+
obs:
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| 91 |
+
agent_pos:
|
| 92 |
+
shape:
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| 93 |
+
- 2
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| 94 |
+
type: low_dim
|
| 95 |
+
image:
|
| 96 |
+
shape:
|
| 97 |
+
- 3
|
| 98 |
+
- 96
|
| 99 |
+
- 96
|
| 100 |
+
type: rgb
|
| 101 |
+
temporally_constant_weight: 0.2
|
| 102 |
+
temporally_increasing_weight: 0.0
|
| 103 |
+
temporally_random_weights: 0.0
|
| 104 |
+
shape_meta:
|
| 105 |
+
action:
|
| 106 |
+
shape:
|
| 107 |
+
- 2
|
| 108 |
+
obs:
|
| 109 |
+
agent_pos:
|
| 110 |
+
shape:
|
| 111 |
+
- 2
|
| 112 |
+
type: low_dim
|
| 113 |
+
image:
|
| 114 |
+
shape:
|
| 115 |
+
- 3
|
| 116 |
+
- 96
|
| 117 |
+
- 96
|
| 118 |
+
type: rgb
|
| 119 |
+
task:
|
| 120 |
+
dataset:
|
| 121 |
+
_target_: diffusion_policy.dataset.pusht_image_dataset.PushTImageDataset
|
| 122 |
+
horizon: 20
|
| 123 |
+
max_train_episodes: 90
|
| 124 |
+
pad_after: 7
|
| 125 |
+
pad_before: 1
|
| 126 |
+
seed: 42
|
| 127 |
+
val_ratio: 0.02
|
| 128 |
+
zarr_path: data/pusht/pusht_cchi_v7_replay.zarr
|
| 129 |
+
env_runner:
|
| 130 |
+
_target_: diffusion_policy.env_runner.pusht_image_runner.PushTImageRunner
|
| 131 |
+
fps: 10
|
| 132 |
+
legacy_test: true
|
| 133 |
+
max_steps: 300
|
| 134 |
+
n_action_steps: 8
|
| 135 |
+
n_envs: null
|
| 136 |
+
n_obs_steps: 2
|
| 137 |
+
n_test: 50
|
| 138 |
+
n_test_vis: 4
|
| 139 |
+
n_train: 6
|
| 140 |
+
n_train_vis: 2
|
| 141 |
+
past_action: false
|
| 142 |
+
test_start_seed: 100000
|
| 143 |
+
train_start_seed: 0
|
| 144 |
+
image_shape:
|
| 145 |
+
- 3
|
| 146 |
+
- 96
|
| 147 |
+
- 96
|
| 148 |
+
name: pusht_image
|
| 149 |
+
shape_meta:
|
| 150 |
+
action:
|
| 151 |
+
shape:
|
| 152 |
+
- 2
|
| 153 |
+
obs:
|
| 154 |
+
agent_pos:
|
| 155 |
+
shape:
|
| 156 |
+
- 2
|
| 157 |
+
type: low_dim
|
| 158 |
+
image:
|
| 159 |
+
shape:
|
| 160 |
+
- 3
|
| 161 |
+
- 96
|
| 162 |
+
- 96
|
| 163 |
+
type: rgb
|
| 164 |
+
task_name: pusht_image
|
| 165 |
+
training:
|
| 166 |
+
checkpoint_every: 50
|
| 167 |
+
debug: false
|
| 168 |
+
device: cuda:0
|
| 169 |
+
gradient_accumulate_every: 1
|
| 170 |
+
lr_scheduler: cosine
|
| 171 |
+
lr_warmup_steps: 500
|
| 172 |
+
max_train_steps: null
|
| 173 |
+
max_val_steps: null
|
| 174 |
+
num_epochs: 1001
|
| 175 |
+
resume: true
|
| 176 |
+
rollout_every: 50
|
| 177 |
+
sample_every: 5
|
| 178 |
+
seed: 42
|
| 179 |
+
tqdm_interval_sec: 1.0
|
| 180 |
+
use_ema: true
|
| 181 |
+
val_every: 1
|
| 182 |
+
val_dataloader:
|
| 183 |
+
batch_size: 64
|
| 184 |
+
num_workers: 16
|
| 185 |
+
persistent_workers: true
|
| 186 |
+
pin_memory: true
|
| 187 |
+
shuffle: false
|
PushT/metrics/logs.json.txt
ADDED
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@@ -0,0 +1,21 @@
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| 1 |
+
{"global_step": 161, "epoch": 0, "max/test_mean_score": 0.11095014517167368, "k_around_max/test_mean_score": 0.11095014517167368, "max_k_window/test_mean_score": 0.11095014517167368, "min_train_loss/test_mean_score": 0.11095014517167368, "min_val_loss/test_mean_score": 0.11095014517167368, "k_min_train_loss/test_mean_score": 0.11095014517167368, "k_min_val_loss/test_mean_score": 0.11095014517167368, "last/test_mean_score": 0.11095014517167368, "metric_global_step/test_mean_score": 0}
|
| 2 |
+
{"global_step": 8261, "epoch": 50, "max/test_mean_score": 0.6813516393780698, "k_around_max/test_mean_score": 0.3961508922748716, "max_k_window/test_mean_score": 0.3961508922748717, "min_train_loss/test_mean_score": 0.6813516393780698, "min_val_loss/test_mean_score": 0.6813516393780698, "k_min_train_loss/test_mean_score": 0.3961508922748716, "k_min_val_loss/test_mean_score": 0.3961508922748716, "last/test_mean_score": 0.6813516393780698, "metric_global_step/test_mean_score": 1}
|
| 3 |
+
{"global_step": 16361, "epoch": 100, "max/test_mean_score": 0.7546037197002974, "k_around_max/test_mean_score": 0.515635168083347, "max_k_window/test_mean_score": 0.4898170818566252, "min_train_loss/test_mean_score": 0.7546037197002974, "min_val_loss/test_mean_score": 0.6813516393780698, "k_min_train_loss/test_mean_score": 0.515635168083347, "k_min_val_loss/test_mean_score": 0.515635168083347, "last/test_mean_score": 0.7546037197002974, "metric_global_step/test_mean_score": 2}
|
| 4 |
+
{"global_step": 24461, "epoch": 150, "max/test_mean_score": 0.7875359394895224, "k_around_max/test_mean_score": 0.5836103609348907, "max_k_window/test_mean_score": 0.5706485492041, "min_train_loss/test_mean_score": 0.7875359394895224, "min_val_loss/test_mean_score": 0.6813516393780698, "k_min_train_loss/test_mean_score": 0.5836103609348907, "k_min_val_loss/test_mean_score": 0.5836103609348907, "last/test_mean_score": 0.7875359394895224, "metric_global_step/test_mean_score": 3}
|
| 5 |
+
{"global_step": 32561, "epoch": 200, "max/test_mean_score": 0.8198301272844383, "k_around_max/test_mean_score": 0.6308543142048003, "max_k_window/test_mean_score": 0.654454222533343, "min_train_loss/test_mean_score": 0.8198301272844383, "min_val_loss/test_mean_score": 0.6813516393780698, "k_min_train_loss/test_mean_score": 0.6308543142048003, "k_min_val_loss/test_mean_score": 0.6308543142048003, "last/test_mean_score": 0.8198301272844383, "metric_global_step/test_mean_score": 4}
|
| 6 |
+
{"global_step": 40661, "epoch": 250, "max/test_mean_score": 0.8239490037982841, "k_around_max/test_mean_score": 0.6583206188566484, "max_k_window/test_mean_score": 0.7132532281603446, "min_train_loss/test_mean_score": 0.7956521421158887, "min_val_loss/test_mean_score": 0.6813516393780698, "k_min_train_loss/test_mean_score": 0.6583206188566485, "k_min_val_loss/test_mean_score": 0.6583206188566484, "last/test_mean_score": 0.7956521421158887, "metric_global_step/test_mean_score": 5}
|
| 7 |
+
{"global_step": 48761, "epoch": 300, "max/test_mean_score": 0.8239490037982841, "k_around_max/test_mean_score": 0.6739588306811362, "max_k_window/test_mean_score": 0.7677914076108531, "min_train_loss/test_mean_score": 0.7677881016280628, "min_val_loss/test_mean_score": 0.6813516393780698, "k_min_train_loss/test_mean_score": 0.6739588306811363, "k_min_val_loss/test_mean_score": 0.6739588306811362, "last/test_mean_score": 0.7677881016280628, "metric_global_step/test_mean_score": 6}
|
| 8 |
+
{"global_step": 56861, "epoch": 350, "max/test_mean_score": 0.8239490037982841, "k_around_max/test_mean_score": 0.6875437749278381, "max_k_window/test_mean_score": 0.7838601953491972, "min_train_loss/test_mean_score": 0.7826383846547524, "min_val_loss/test_mean_score": 0.6813516393780698, "k_min_train_loss/test_mean_score": 0.6875437749278381, "k_min_val_loss/test_mean_score": 0.6875437749278381, "last/test_mean_score": 0.7826383846547524, "metric_global_step/test_mean_score": 7}
|
| 9 |
+
{"global_step": 64961, "epoch": 400, "max/test_mean_score": 0.8239490037982841, "k_around_max/test_mean_score": 0.6925594360167757, "max_k_window/test_mean_score": 0.7645624067620727, "min_train_loss/test_mean_score": 0.7326847247282761, "min_val_loss/test_mean_score": 0.6813516393780698, "k_min_train_loss/test_mean_score": 0.6925594360167757, "k_min_val_loss/test_mean_score": 0.6925594360167757, "last/test_mean_score": 0.7326847247282761, "metric_global_step/test_mean_score": 8}
|
| 10 |
+
{"global_step": 73061, "epoch": 450, "max/test_mean_score": 0.8239490037982841, "k_around_max/test_mean_score": 0.6940580554618402, "max_k_window/test_mean_score": 0.7680313546986332, "min_train_loss/test_mean_score": 0.7452354072828151, "min_val_loss/test_mean_score": 0.6813516393780698, "k_min_train_loss/test_mean_score": 0.6978270331433797, "k_min_val_loss/test_mean_score": 0.6978270331433797, "last/test_mean_score": 0.7452354072828151, "metric_global_step/test_mean_score": 9}
|
| 11 |
+
{"global_step": 81161, "epoch": 500, "max/test_mean_score": 0.8239490037982841, "k_around_max/test_mean_score": 0.6940580554618402, "max_k_window/test_mean_score": 0.7747590860084327, "min_train_loss/test_mean_score": 0.7672895346506974, "min_val_loss/test_mean_score": 0.6813516393780698, "k_min_train_loss/test_mean_score": 0.763460972091282, "k_min_val_loss/test_mean_score": 0.763460972091282, "last/test_mean_score": 0.7672895346506974, "metric_global_step/test_mean_score": 10}
|
| 12 |
+
{"global_step": 89261, "epoch": 550, "max/test_mean_score": 0.8239490037982841, "k_around_max/test_mean_score": 0.6940580554618402, "max_k_window/test_mean_score": 0.7787399172522682, "min_train_loss/test_mean_score": 0.7903429942799041, "min_val_loss/test_mean_score": 0.6813516393780698, "k_min_train_loss/test_mean_score": 0.7743601075814656, "k_min_val_loss/test_mean_score": 0.763460972091282, "last/test_mean_score": 0.7903429942799041, "metric_global_step/test_mean_score": 11}
|
| 13 |
+
{"global_step": 97361, "epoch": 600, "max/test_mean_score": 0.8239490037982841, "k_around_max/test_mean_score": 0.6940580554618402, "max_k_window/test_mean_score": 0.7810939257326414, "min_train_loss/test_mean_score": 0.7761922899661476, "min_val_loss/test_mean_score": 0.6813516393780698, "k_min_train_loss/test_mean_score": 0.7765189646080506, "k_min_val_loss/test_mean_score": 0.763460972091282, "last/test_mean_score": 0.7761922899661476, "metric_global_step/test_mean_score": 12}
|
| 14 |
+
{"global_step": 105461, "epoch": 650, "max/test_mean_score": 0.8239490037982841, "k_around_max/test_mean_score": 0.6940580554618402, "max_k_window/test_mean_score": 0.7782203843031464, "min_train_loss/test_mean_score": 0.77682343041112, "min_val_loss/test_mean_score": 0.6813516393780698, "k_min_train_loss/test_mean_score": 0.7754477137002104, "k_min_val_loss/test_mean_score": 0.763460972091282, "last/test_mean_score": 0.77682343041112, "metric_global_step/test_mean_score": 13}
|
| 15 |
+
{"global_step": 113561, "epoch": 700, "max/test_mean_score": 0.8239490037982841, "k_around_max/test_mean_score": 0.6940580554618402, "max_k_window/test_mean_score": 0.7868199158428193, "min_train_loss/test_mean_score": 0.7826337216934359, "min_val_loss/test_mean_score": 0.6813516393780698, "k_min_train_loss/test_mean_score": 0.7717280731411099, "k_min_val_loss/test_mean_score": 0.763460972091282, "last/test_mean_score": 0.7826337216934359, "metric_global_step/test_mean_score": 14}
|
| 16 |
+
{"global_step": 121661, "epoch": 750, "max/test_mean_score": 0.8239490037982841, "k_around_max/test_mean_score": 0.6940580554618402, "max_k_window/test_mean_score": 0.7854966889081182, "min_train_loss/test_mean_score": 0.76118670720044, "min_val_loss/test_mean_score": 0.6813516393780698, "k_min_train_loss/test_mean_score": 0.7682815296495652, "k_min_val_loss/test_mean_score": 0.763460972091282, "last/test_mean_score": 0.76118670720044, "metric_global_step/test_mean_score": 15}
|
| 17 |
+
{"global_step": 129761, "epoch": 800, "max/test_mean_score": 0.8239490037982841, "k_around_max/test_mean_score": 0.6940580554618402, "max_k_window/test_mean_score": 0.7853804425466727, "min_train_loss/test_mean_score": 0.7476648412500594, "min_val_loss/test_mean_score": 0.6813516393780698, "k_min_train_loss/test_mean_score": 0.7662692036117648, "k_min_val_loss/test_mean_score": 0.763460972091282, "last/test_mean_score": 0.7476648412500594, "metric_global_step/test_mean_score": 16}
|
| 18 |
+
{"global_step": 137861, "epoch": 850, "max/test_mean_score": 0.8239490037982841, "k_around_max/test_mean_score": 0.6940580554618402, "max_k_window/test_mean_score": 0.7831571962307183, "min_train_loss/test_mean_score": 0.7444742600517636, "min_val_loss/test_mean_score": 0.6813516393780698, "k_min_train_loss/test_mean_score": 0.7624527911514659, "k_min_val_loss/test_mean_score": 0.763460972091282, "last/test_mean_score": 0.7444742600517636, "metric_global_step/test_mean_score": 17}
|
| 19 |
+
{"global_step": 145961, "epoch": 900, "max/test_mean_score": 0.8239490037982841, "k_around_max/test_mean_score": 0.6940580554618402, "max_k_window/test_mean_score": 0.7810423030281907, "min_train_loss/test_mean_score": 0.7331579312855716, "min_val_loss/test_mean_score": 0.6813516393780698, "k_min_train_loss/test_mean_score": 0.7625001118071956, "k_min_val_loss/test_mean_score": 0.763460972091282, "last/test_mean_score": 0.7331579312855716, "metric_global_step/test_mean_score": 18}
|
| 20 |
+
{"global_step": 154061, "epoch": 950, "max/test_mean_score": 0.8239490037982841, "k_around_max/test_mean_score": 0.6940580554618402, "max_k_window/test_mean_score": 0.7812358363055044, "min_train_loss/test_mean_score": 0.7326173624007373, "min_val_loss/test_mean_score": 0.6813516393780698, "k_min_train_loss/test_mean_score": 0.7612383073189877, "k_min_val_loss/test_mean_score": 0.763460972091282, "last/test_mean_score": 0.7326173624007373, "metric_global_step/test_mean_score": 19}
|
| 21 |
+
{"global_step": 162161, "epoch": 1000, "max/test_mean_score": 0.8239490037982841, "k_around_max/test_mean_score": 0.6940580554618402, "max_k_window/test_mean_score": 0.7812358363055044, "min_train_loss/test_mean_score": 0.7364679127769683, "min_val_loss/test_mean_score": 0.6813516393780698, "k_min_train_loss/test_mean_score": 0.7578099191553406, "k_min_val_loss/test_mean_score": 0.763460972091282, "last/test_mean_score": 0.7330056530142257, "metric_global_step/test_mean_score": 20}
|
PushT/metrics/metrics.json
ADDED
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@@ -0,0 +1,13 @@
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+
{
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| 2 |
+
"epoch": 1000,
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| 3 |
+
"global_step": 162161,
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| 4 |
+
"k_around_max/test_mean_score": 0.6940580554618402,
|
| 5 |
+
"k_min_train_loss/test_mean_score": 0.7578099191553406,
|
| 6 |
+
"k_min_val_loss/test_mean_score": 0.763460972091282,
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| 7 |
+
"last/test_mean_score": 0.7330056530142257,
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| 8 |
+
"max/test_mean_score": 0.8239490037982841,
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| 9 |
+
"max_k_window/test_mean_score": 0.7812358363055044,
|
| 10 |
+
"metric_global_step/test_mean_score": 20,
|
| 11 |
+
"min_train_loss/test_mean_score": 0.7364679127769683,
|
| 12 |
+
"min_val_loss/test_mean_score": 0.6813516393780698
|
| 13 |
+
}
|
PushT/metrics/metrics.log
ADDED
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@@ -0,0 +1,29 @@
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| 1 |
+
2024-11-20 18:09:12,917 [INFO] Monitor waiting for log files!
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| 2 |
+
2024-11-20 18:09:54,109 [INFO] All log files ready!
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| 3 |
+
2024-11-20 18:10:57,862 [INFO] Metrics logged at step 161
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| 4 |
+
2024-11-20 18:35:17,949 [INFO] Metrics logged at step 8261
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| 5 |
+
2024-11-20 18:59:08,457 [INFO] Metrics logged at step 16361
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| 6 |
+
2024-11-20 19:23:10,186 [INFO] Metrics logged at step 24461
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| 7 |
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2024-11-20 19:47:12,278 [INFO] Metrics logged at step 32561
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| 8 |
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2024-11-20 20:11:16,188 [INFO] Metrics logged at step 40661
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2024-11-20 20:35:30,994 [INFO] Metrics logged at step 48761
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| 10 |
+
2024-11-20 20:59:45,941 [INFO] Metrics logged at step 56861
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| 11 |
+
2024-11-20 21:24:01,859 [INFO] Metrics logged at step 64961
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| 12 |
+
2024-11-20 21:48:08,962 [INFO] Metrics logged at step 73061
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+
2024-11-20 22:12:18,127 [INFO] Metrics logged at step 81161
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2024-11-20 22:36:39,511 [INFO] Metrics logged at step 89261
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| 15 |
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2024-11-20 23:01:01,481 [INFO] Metrics logged at step 97361
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| 16 |
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2024-11-20 23:25:25,297 [INFO] Metrics logged at step 105461
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| 17 |
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2024-11-20 23:49:59,662 [INFO] Metrics logged at step 113561
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2024-11-21 00:14:44,871 [INFO] Metrics logged at step 121661
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2024-11-21 00:39:21,966 [INFO] Metrics logged at step 129761
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| 20 |
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2024-11-21 01:04:09,330 [INFO] Metrics logged at step 137861
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| 21 |
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2024-11-21 01:28:47,046 [INFO] Metrics logged at step 145961
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| 22 |
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2024-11-21 01:53:25,579 [INFO] Metrics logged at step 154061
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| 23 |
+
2024-11-21 02:17:44,841 [INFO] Metrics logged at step 162161
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| 24 |
+
2024-11-21 02:17:58,442 [WARNING] Retrying (Retry(total=2, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(FileNotFoundError(2, 'No such file or directory'))': /api/4504800232407040/envelope/
|
| 25 |
+
2024-11-21 02:17:58,459 [WARNING] Retrying (Retry(total=1, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(FileNotFoundError(2, 'No such file or directory'))': /api/4504800232407040/envelope/
|
| 26 |
+
2024-11-21 02:17:58,476 [WARNING] Retrying (Retry(total=0, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(FileNotFoundError(2, 'No such file or directory'))': /api/4504800232407040/envelope/
|
| 27 |
+
2024-11-21 02:17:58,509 [WARNING] Retrying (Retry(total=2, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(FileNotFoundError(2, 'No such file or directory'))': /api/4504800232407040/envelope/
|
| 28 |
+
2024-11-21 02:17:58,526 [WARNING] Retrying (Retry(total=1, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(FileNotFoundError(2, 'No such file or directory'))': /api/4504800232407040/envelope/
|
| 29 |
+
2024-11-21 02:17:58,543 [WARNING] Retrying (Retry(total=0, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(FileNotFoundError(2, 'No such file or directory'))': /api/4504800232407040/envelope/
|
PushT/train_0/.hydra/config.yaml
ADDED
|
@@ -0,0 +1,159 @@
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|
| 1 |
+
name: train_tedi_unet_hybrid
|
| 2 |
+
_target_: diffusion_policy.workspace.train_tedi_unet_hybrid_workspace.TrainTEDIUnetHybridWorkspace
|
| 3 |
+
task_name: ${task.name}
|
| 4 |
+
shape_meta: ${task.shape_meta}
|
| 5 |
+
exp_name: default
|
| 6 |
+
horizon: 20
|
| 7 |
+
n_obs_steps: 2
|
| 8 |
+
n_action_steps: 8
|
| 9 |
+
n_latency_steps: 0
|
| 10 |
+
dataset_obs_steps: ${n_obs_steps}
|
| 11 |
+
past_action_visible: false
|
| 12 |
+
keypoint_visible_rate: 1.0
|
| 13 |
+
obs_as_global_cond: true
|
| 14 |
+
policy:
|
| 15 |
+
_target_: diffusion_policy.policy.tedi_unet_hybrid_image_policy.TEDIUnetHybridImagePolicy
|
| 16 |
+
shape_meta: ${shape_meta}
|
| 17 |
+
noise_scheduler:
|
| 18 |
+
_target_: diffusion_policy.policy.schedulers.DDPMTEDiScheduler
|
| 19 |
+
num_train_timesteps: 100
|
| 20 |
+
beta_start: 0.0001
|
| 21 |
+
beta_end: 0.02
|
| 22 |
+
beta_schedule: squaredcos_cap_v2
|
| 23 |
+
variance_type: fixed_small
|
| 24 |
+
clip_sample: true
|
| 25 |
+
prediction_type: epsilon
|
| 26 |
+
horizon: ${horizon}
|
| 27 |
+
n_action_steps: ${eval:'${n_action_steps}+${n_latency_steps}'}
|
| 28 |
+
n_obs_steps: ${n_obs_steps}
|
| 29 |
+
num_inference_steps: 100
|
| 30 |
+
obs_as_global_cond: ${obs_as_global_cond}
|
| 31 |
+
crop_shape:
|
| 32 |
+
- 84
|
| 33 |
+
- 84
|
| 34 |
+
diffusion_step_embed_dim: 128
|
| 35 |
+
down_dims:
|
| 36 |
+
- 512
|
| 37 |
+
- 1024
|
| 38 |
+
- 2048
|
| 39 |
+
kernel_size: 5
|
| 40 |
+
n_groups: 8
|
| 41 |
+
cond_predict_scale: true
|
| 42 |
+
obs_encoder_group_norm: true
|
| 43 |
+
eval_fixed_crop: true
|
| 44 |
+
temporally_constant_weight: 0.2
|
| 45 |
+
temporally_increasing_weight: 0.0
|
| 46 |
+
temporally_random_weights: 0.0
|
| 47 |
+
chunk_wise_weight: 0.8
|
| 48 |
+
buffer_init: zero
|
| 49 |
+
ema:
|
| 50 |
+
_target_: diffusion_policy.model.diffusion.ema_model.EMAModel
|
| 51 |
+
update_after_step: 0
|
| 52 |
+
inv_gamma: 1.0
|
| 53 |
+
power: 0.75
|
| 54 |
+
min_value: 0.0
|
| 55 |
+
max_value: 0.9999
|
| 56 |
+
dataloader:
|
| 57 |
+
batch_size: 64
|
| 58 |
+
num_workers: 16
|
| 59 |
+
shuffle: true
|
| 60 |
+
pin_memory: true
|
| 61 |
+
persistent_workers: true
|
| 62 |
+
val_dataloader:
|
| 63 |
+
batch_size: 64
|
| 64 |
+
num_workers: 16
|
| 65 |
+
shuffle: false
|
| 66 |
+
pin_memory: true
|
| 67 |
+
persistent_workers: true
|
| 68 |
+
optimizer:
|
| 69 |
+
_target_: torch.optim.AdamW
|
| 70 |
+
lr: 0.0001
|
| 71 |
+
betas:
|
| 72 |
+
- 0.95
|
| 73 |
+
- 0.999
|
| 74 |
+
eps: 1.0e-08
|
| 75 |
+
weight_decay: 1.0e-06
|
| 76 |
+
training:
|
| 77 |
+
device: cuda:0
|
| 78 |
+
seed: 42
|
| 79 |
+
debug: false
|
| 80 |
+
resume: true
|
| 81 |
+
lr_scheduler: cosine
|
| 82 |
+
lr_warmup_steps: 500
|
| 83 |
+
num_epochs: 1001
|
| 84 |
+
gradient_accumulate_every: 1
|
| 85 |
+
use_ema: true
|
| 86 |
+
rollout_every: 50
|
| 87 |
+
checkpoint_every: 50
|
| 88 |
+
val_every: 1
|
| 89 |
+
sample_every: 5
|
| 90 |
+
max_train_steps: null
|
| 91 |
+
max_val_steps: null
|
| 92 |
+
tqdm_interval_sec: 1.0
|
| 93 |
+
logging:
|
| 94 |
+
project: diffusion_policy_debug
|
| 95 |
+
resume: true
|
| 96 |
+
mode: online
|
| 97 |
+
name: 2024.11.20-18.08.46_train_tedi_unet_hybrid_pusht_image_train_0
|
| 98 |
+
tags:
|
| 99 |
+
- ${name}
|
| 100 |
+
- ${task_name}
|
| 101 |
+
- ${exp_name}
|
| 102 |
+
id: 15dbwfa5_train_0
|
| 103 |
+
group: 15dbwfa5
|
| 104 |
+
checkpoint:
|
| 105 |
+
topk:
|
| 106 |
+
monitor_key: test_mean_score
|
| 107 |
+
mode: max
|
| 108 |
+
k: 1
|
| 109 |
+
format_str: epoch={epoch:04d}-test_mean_score={test_mean_score:.3f}.ckpt
|
| 110 |
+
save_last_ckpt: false
|
| 111 |
+
save_last_snapshot: false
|
| 112 |
+
multi_run:
|
| 113 |
+
run_dir: data/outputs/${now:%Y.%m.%d}/${now:%H.%M.%S}_${name}_${task_name}
|
| 114 |
+
wandb_name_base: ${now:%Y.%m.%d-%H.%M.%S}_${name}_${task_name}
|
| 115 |
+
task:
|
| 116 |
+
name: pusht_image
|
| 117 |
+
image_shape:
|
| 118 |
+
- 3
|
| 119 |
+
- 96
|
| 120 |
+
- 96
|
| 121 |
+
shape_meta:
|
| 122 |
+
obs:
|
| 123 |
+
image:
|
| 124 |
+
shape:
|
| 125 |
+
- 3
|
| 126 |
+
- 96
|
| 127 |
+
- 96
|
| 128 |
+
type: rgb
|
| 129 |
+
agent_pos:
|
| 130 |
+
shape:
|
| 131 |
+
- 2
|
| 132 |
+
type: low_dim
|
| 133 |
+
action:
|
| 134 |
+
shape:
|
| 135 |
+
- 2
|
| 136 |
+
env_runner:
|
| 137 |
+
_target_: diffusion_policy.env_runner.pusht_image_runner.PushTImageRunner
|
| 138 |
+
n_train: 6
|
| 139 |
+
n_train_vis: 2
|
| 140 |
+
train_start_seed: 0
|
| 141 |
+
n_test: 50
|
| 142 |
+
n_test_vis: 4
|
| 143 |
+
legacy_test: true
|
| 144 |
+
test_start_seed: 4300000
|
| 145 |
+
max_steps: 300
|
| 146 |
+
n_obs_steps: ${n_obs_steps}
|
| 147 |
+
n_action_steps: ${n_action_steps}
|
| 148 |
+
fps: 10
|
| 149 |
+
past_action: ${past_action_visible}
|
| 150 |
+
n_envs: null
|
| 151 |
+
dataset:
|
| 152 |
+
_target_: diffusion_policy.dataset.pusht_image_dataset.PushTImageDataset
|
| 153 |
+
zarr_path: data/pusht/pusht_cchi_v7_replay.zarr
|
| 154 |
+
horizon: ${horizon}
|
| 155 |
+
pad_before: ${eval:'${n_obs_steps}-1'}
|
| 156 |
+
pad_after: ${eval:'${n_action_steps}-1'}
|
| 157 |
+
seed: 42
|
| 158 |
+
val_ratio: 0.02
|
| 159 |
+
max_train_episodes: 90
|
PushT/train_0/.hydra/hydra.yaml
ADDED
|
@@ -0,0 +1,168 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
hydra:
|
| 2 |
+
run:
|
| 3 |
+
dir: data/outputs/2024.11.20/18.08.46_train_tedi_unet_hybrid_pusht_image/train_0
|
| 4 |
+
sweep:
|
| 5 |
+
dir: data/outputs/${now:%Y.%m.%d}/${now:%H.%M.%S}_${name}_${task_name}
|
| 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.run.dir=data/outputs/2024.11.20/18.08.46_train_tedi_unet_hybrid_pusht_image/train_0
|
| 114 |
+
- hydra.mode=RUN
|
| 115 |
+
task:
|
| 116 |
+
- task=pusht_image
|
| 117 |
+
- training.seed=42
|
| 118 |
+
- task.env_runner.test_start_seed=4300000
|
| 119 |
+
- logging.name=2024.11.20-18.08.46_train_tedi_unet_hybrid_pusht_image_train_0
|
| 120 |
+
- logging.id=15dbwfa5_train_0
|
| 121 |
+
- logging.group=15dbwfa5
|
| 122 |
+
job:
|
| 123 |
+
name: train
|
| 124 |
+
chdir: null
|
| 125 |
+
override_dirname: logging.group=15dbwfa5,logging.id=15dbwfa5_train_0,logging.name=2024.11.20-18.08.46_train_tedi_unet_hybrid_pusht_image_train_0,task.env_runner.test_start_seed=4300000,task=pusht_image,training.seed=42
|
| 126 |
+
id: ???
|
| 127 |
+
num: ???
|
| 128 |
+
config_name: train_tedi_unet_hybrid_workspace.yaml
|
| 129 |
+
env_set: {}
|
| 130 |
+
env_copy: []
|
| 131 |
+
config:
|
| 132 |
+
override_dirname:
|
| 133 |
+
kv_sep: '='
|
| 134 |
+
item_sep: ','
|
| 135 |
+
exclude_keys: []
|
| 136 |
+
runtime:
|
| 137 |
+
version: 1.2.0
|
| 138 |
+
version_base: '1.2'
|
| 139 |
+
cwd: /tmp/ray/session_2024-11-20_18-08-24_619058_2941820/runtime_resources/working_dir_files/_ray_pkg_a254c17765b6da76
|
| 140 |
+
config_sources:
|
| 141 |
+
- path: hydra.conf
|
| 142 |
+
schema: pkg
|
| 143 |
+
provider: hydra
|
| 144 |
+
- path: /tmp/ray/session_2024-11-20_18-08-24_619058_2941820/runtime_resources/working_dir_files/_ray_pkg_a254c17765b6da76/diffusion_policy/config
|
| 145 |
+
schema: file
|
| 146 |
+
provider: main
|
| 147 |
+
- path: hydra_plugins.hydra_colorlog.conf
|
| 148 |
+
schema: pkg
|
| 149 |
+
provider: hydra-colorlog
|
| 150 |
+
- path: /tmp/ray/session_2024-11-20_18-08-24_619058_2941820/runtime_resources/working_dir_files/_ray_pkg_a254c17765b6da76/diffusion_policy/config
|
| 151 |
+
schema: file
|
| 152 |
+
provider: command-line
|
| 153 |
+
- path: ''
|
| 154 |
+
schema: structured
|
| 155 |
+
provider: schema
|
| 156 |
+
output_dir: /tmp/ray/session_2024-11-20_18-08-24_619058_2941820/runtime_resources/working_dir_files/_ray_pkg_a254c17765b6da76/data/outputs/2024.11.20/18.08.46_train_tedi_unet_hybrid_pusht_image/train_0
|
| 157 |
+
choices:
|
| 158 |
+
task: pusht_image
|
| 159 |
+
hydra/env: default
|
| 160 |
+
hydra/callbacks: null
|
| 161 |
+
hydra/job_logging: default
|
| 162 |
+
hydra/hydra_logging: default
|
| 163 |
+
hydra/hydra_help: default
|
| 164 |
+
hydra/help: default
|
| 165 |
+
hydra/sweeper: basic
|
| 166 |
+
hydra/launcher: basic
|
| 167 |
+
hydra/output: default
|
| 168 |
+
verbose: false
|
PushT/train_0/.hydra/overrides.yaml
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
- task=pusht_image
|
| 2 |
+
- training.seed=42
|
| 3 |
+
- task.env_runner.test_start_seed=4300000
|
| 4 |
+
- logging.name=2024.11.20-18.08.46_train_tedi_unet_hybrid_pusht_image_train_0
|
| 5 |
+
- logging.id=15dbwfa5_train_0
|
| 6 |
+
- logging.group=15dbwfa5
|
PushT/train_0/checkpoints/epoch=0250-test_mean_score=0.842.ckpt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:85b878226b74888eaf39dbf435fb4cf651025bc2154e7113a093d10657f654a8
|
| 3 |
+
size 4313219741
|
PushT/train_0/logs.json.txt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a45b87d2ccf48af2efa7fb9cd04c1d91bc2fd5ce4dc0f2d1200af90ad441bf5b
|
| 3 |
+
size 16722176
|
PushT/train_0/train.log
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
[2024-11-20 18:09:23,175][diffusion_policy.model.diffusion.conditional_unet1d_tedi][INFO] - number of parameters: 2.527571e+08
|
| 2 |
+
[2024-11-21 01:52:50,952][urllib3.connectionpool][WARNING] - Retrying (Retry(total=2, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(FileNotFoundError(2, 'No such file or directory'))': /api/4504800232407040/envelope/
|
| 3 |
+
[2024-11-21 01:52:51,004][urllib3.connectionpool][WARNING] - Retrying (Retry(total=1, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(FileNotFoundError(2, 'No such file or directory'))': /api/4504800232407040/envelope/
|
| 4 |
+
[2024-11-21 01:52:51,020][urllib3.connectionpool][WARNING] - Retrying (Retry(total=0, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(FileNotFoundError(2, 'No such file or directory'))': /api/4504800232407040/envelope/
|
| 5 |
+
[2024-11-21 01:52:51,054][urllib3.connectionpool][WARNING] - Retrying (Retry(total=2, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(FileNotFoundError(2, 'No such file or directory'))': /api/4504800232407040/envelope/
|
| 6 |
+
[2024-11-21 01:52:51,071][urllib3.connectionpool][WARNING] - Retrying (Retry(total=1, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(FileNotFoundError(2, 'No such file or directory'))': /api/4504800232407040/envelope/
|
| 7 |
+
[2024-11-21 01:52:51,088][urllib3.connectionpool][WARNING] - Retrying (Retry(total=0, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(FileNotFoundError(2, 'No such file or directory'))': /api/4504800232407040/envelope/
|
PushT/train_1/.hydra/config.yaml
ADDED
|
@@ -0,0 +1,159 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
name: train_tedi_unet_hybrid
|
| 2 |
+
_target_: diffusion_policy.workspace.train_tedi_unet_hybrid_workspace.TrainTEDIUnetHybridWorkspace
|
| 3 |
+
task_name: ${task.name}
|
| 4 |
+
shape_meta: ${task.shape_meta}
|
| 5 |
+
exp_name: default
|
| 6 |
+
horizon: 20
|
| 7 |
+
n_obs_steps: 2
|
| 8 |
+
n_action_steps: 8
|
| 9 |
+
n_latency_steps: 0
|
| 10 |
+
dataset_obs_steps: ${n_obs_steps}
|
| 11 |
+
past_action_visible: false
|
| 12 |
+
keypoint_visible_rate: 1.0
|
| 13 |
+
obs_as_global_cond: true
|
| 14 |
+
policy:
|
| 15 |
+
_target_: diffusion_policy.policy.tedi_unet_hybrid_image_policy.TEDIUnetHybridImagePolicy
|
| 16 |
+
shape_meta: ${shape_meta}
|
| 17 |
+
noise_scheduler:
|
| 18 |
+
_target_: diffusion_policy.policy.schedulers.DDPMTEDiScheduler
|
| 19 |
+
num_train_timesteps: 100
|
| 20 |
+
beta_start: 0.0001
|
| 21 |
+
beta_end: 0.02
|
| 22 |
+
beta_schedule: squaredcos_cap_v2
|
| 23 |
+
variance_type: fixed_small
|
| 24 |
+
clip_sample: true
|
| 25 |
+
prediction_type: epsilon
|
| 26 |
+
horizon: ${horizon}
|
| 27 |
+
n_action_steps: ${eval:'${n_action_steps}+${n_latency_steps}'}
|
| 28 |
+
n_obs_steps: ${n_obs_steps}
|
| 29 |
+
num_inference_steps: 100
|
| 30 |
+
obs_as_global_cond: ${obs_as_global_cond}
|
| 31 |
+
crop_shape:
|
| 32 |
+
- 84
|
| 33 |
+
- 84
|
| 34 |
+
diffusion_step_embed_dim: 128
|
| 35 |
+
down_dims:
|
| 36 |
+
- 512
|
| 37 |
+
- 1024
|
| 38 |
+
- 2048
|
| 39 |
+
kernel_size: 5
|
| 40 |
+
n_groups: 8
|
| 41 |
+
cond_predict_scale: true
|
| 42 |
+
obs_encoder_group_norm: true
|
| 43 |
+
eval_fixed_crop: true
|
| 44 |
+
temporally_constant_weight: 0.2
|
| 45 |
+
temporally_increasing_weight: 0.0
|
| 46 |
+
temporally_random_weights: 0.0
|
| 47 |
+
chunk_wise_weight: 0.8
|
| 48 |
+
buffer_init: zero
|
| 49 |
+
ema:
|
| 50 |
+
_target_: diffusion_policy.model.diffusion.ema_model.EMAModel
|
| 51 |
+
update_after_step: 0
|
| 52 |
+
inv_gamma: 1.0
|
| 53 |
+
power: 0.75
|
| 54 |
+
min_value: 0.0
|
| 55 |
+
max_value: 0.9999
|
| 56 |
+
dataloader:
|
| 57 |
+
batch_size: 64
|
| 58 |
+
num_workers: 16
|
| 59 |
+
shuffle: true
|
| 60 |
+
pin_memory: true
|
| 61 |
+
persistent_workers: true
|
| 62 |
+
val_dataloader:
|
| 63 |
+
batch_size: 64
|
| 64 |
+
num_workers: 16
|
| 65 |
+
shuffle: false
|
| 66 |
+
pin_memory: true
|
| 67 |
+
persistent_workers: true
|
| 68 |
+
optimizer:
|
| 69 |
+
_target_: torch.optim.AdamW
|
| 70 |
+
lr: 0.0001
|
| 71 |
+
betas:
|
| 72 |
+
- 0.95
|
| 73 |
+
- 0.999
|
| 74 |
+
eps: 1.0e-08
|
| 75 |
+
weight_decay: 1.0e-06
|
| 76 |
+
training:
|
| 77 |
+
device: cuda:0
|
| 78 |
+
seed: 43
|
| 79 |
+
debug: false
|
| 80 |
+
resume: true
|
| 81 |
+
lr_scheduler: cosine
|
| 82 |
+
lr_warmup_steps: 500
|
| 83 |
+
num_epochs: 1001
|
| 84 |
+
gradient_accumulate_every: 1
|
| 85 |
+
use_ema: true
|
| 86 |
+
rollout_every: 50
|
| 87 |
+
checkpoint_every: 50
|
| 88 |
+
val_every: 1
|
| 89 |
+
sample_every: 5
|
| 90 |
+
max_train_steps: null
|
| 91 |
+
max_val_steps: null
|
| 92 |
+
tqdm_interval_sec: 1.0
|
| 93 |
+
logging:
|
| 94 |
+
project: diffusion_policy_debug
|
| 95 |
+
resume: true
|
| 96 |
+
mode: online
|
| 97 |
+
name: 2024.11.20-18.08.46_train_tedi_unet_hybrid_pusht_image_train_1
|
| 98 |
+
tags:
|
| 99 |
+
- ${name}
|
| 100 |
+
- ${task_name}
|
| 101 |
+
- ${exp_name}
|
| 102 |
+
id: 15dbwfa5_train_1
|
| 103 |
+
group: 15dbwfa5
|
| 104 |
+
checkpoint:
|
| 105 |
+
topk:
|
| 106 |
+
monitor_key: test_mean_score
|
| 107 |
+
mode: max
|
| 108 |
+
k: 1
|
| 109 |
+
format_str: epoch={epoch:04d}-test_mean_score={test_mean_score:.3f}.ckpt
|
| 110 |
+
save_last_ckpt: false
|
| 111 |
+
save_last_snapshot: false
|
| 112 |
+
multi_run:
|
| 113 |
+
run_dir: data/outputs/${now:%Y.%m.%d}/${now:%H.%M.%S}_${name}_${task_name}
|
| 114 |
+
wandb_name_base: ${now:%Y.%m.%d-%H.%M.%S}_${name}_${task_name}
|
| 115 |
+
task:
|
| 116 |
+
name: pusht_image
|
| 117 |
+
image_shape:
|
| 118 |
+
- 3
|
| 119 |
+
- 96
|
| 120 |
+
- 96
|
| 121 |
+
shape_meta:
|
| 122 |
+
obs:
|
| 123 |
+
image:
|
| 124 |
+
shape:
|
| 125 |
+
- 3
|
| 126 |
+
- 96
|
| 127 |
+
- 96
|
| 128 |
+
type: rgb
|
| 129 |
+
agent_pos:
|
| 130 |
+
shape:
|
| 131 |
+
- 2
|
| 132 |
+
type: low_dim
|
| 133 |
+
action:
|
| 134 |
+
shape:
|
| 135 |
+
- 2
|
| 136 |
+
env_runner:
|
| 137 |
+
_target_: diffusion_policy.env_runner.pusht_image_runner.PushTImageRunner
|
| 138 |
+
n_train: 6
|
| 139 |
+
n_train_vis: 2
|
| 140 |
+
train_start_seed: 0
|
| 141 |
+
n_test: 50
|
| 142 |
+
n_test_vis: 4
|
| 143 |
+
legacy_test: true
|
| 144 |
+
test_start_seed: 4400000
|
| 145 |
+
max_steps: 300
|
| 146 |
+
n_obs_steps: ${n_obs_steps}
|
| 147 |
+
n_action_steps: ${n_action_steps}
|
| 148 |
+
fps: 10
|
| 149 |
+
past_action: ${past_action_visible}
|
| 150 |
+
n_envs: null
|
| 151 |
+
dataset:
|
| 152 |
+
_target_: diffusion_policy.dataset.pusht_image_dataset.PushTImageDataset
|
| 153 |
+
zarr_path: data/pusht/pusht_cchi_v7_replay.zarr
|
| 154 |
+
horizon: ${horizon}
|
| 155 |
+
pad_before: ${eval:'${n_obs_steps}-1'}
|
| 156 |
+
pad_after: ${eval:'${n_action_steps}-1'}
|
| 157 |
+
seed: 42
|
| 158 |
+
val_ratio: 0.02
|
| 159 |
+
max_train_episodes: 90
|
PushT/train_1/.hydra/hydra.yaml
ADDED
|
@@ -0,0 +1,168 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
hydra:
|
| 2 |
+
run:
|
| 3 |
+
dir: data/outputs/2024.11.20/18.08.46_train_tedi_unet_hybrid_pusht_image/train_1
|
| 4 |
+
sweep:
|
| 5 |
+
dir: data/outputs/${now:%Y.%m.%d}/${now:%H.%M.%S}_${name}_${task_name}
|
| 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.run.dir=data/outputs/2024.11.20/18.08.46_train_tedi_unet_hybrid_pusht_image/train_1
|
| 114 |
+
- hydra.mode=RUN
|
| 115 |
+
task:
|
| 116 |
+
- task=pusht_image
|
| 117 |
+
- training.seed=43
|
| 118 |
+
- task.env_runner.test_start_seed=4400000
|
| 119 |
+
- logging.name=2024.11.20-18.08.46_train_tedi_unet_hybrid_pusht_image_train_1
|
| 120 |
+
- logging.id=15dbwfa5_train_1
|
| 121 |
+
- logging.group=15dbwfa5
|
| 122 |
+
job:
|
| 123 |
+
name: train
|
| 124 |
+
chdir: null
|
| 125 |
+
override_dirname: logging.group=15dbwfa5,logging.id=15dbwfa5_train_1,logging.name=2024.11.20-18.08.46_train_tedi_unet_hybrid_pusht_image_train_1,task.env_runner.test_start_seed=4400000,task=pusht_image,training.seed=43
|
| 126 |
+
id: ???
|
| 127 |
+
num: ???
|
| 128 |
+
config_name: train_tedi_unet_hybrid_workspace.yaml
|
| 129 |
+
env_set: {}
|
| 130 |
+
env_copy: []
|
| 131 |
+
config:
|
| 132 |
+
override_dirname:
|
| 133 |
+
kv_sep: '='
|
| 134 |
+
item_sep: ','
|
| 135 |
+
exclude_keys: []
|
| 136 |
+
runtime:
|
| 137 |
+
version: 1.2.0
|
| 138 |
+
version_base: '1.2'
|
| 139 |
+
cwd: /tmp/ray/session_2024-11-20_18-08-24_619058_2941820/runtime_resources/working_dir_files/_ray_pkg_a254c17765b6da76
|
| 140 |
+
config_sources:
|
| 141 |
+
- path: hydra.conf
|
| 142 |
+
schema: pkg
|
| 143 |
+
provider: hydra
|
| 144 |
+
- path: /tmp/ray/session_2024-11-20_18-08-24_619058_2941820/runtime_resources/working_dir_files/_ray_pkg_a254c17765b6da76/diffusion_policy/config
|
| 145 |
+
schema: file
|
| 146 |
+
provider: main
|
| 147 |
+
- path: hydra_plugins.hydra_colorlog.conf
|
| 148 |
+
schema: pkg
|
| 149 |
+
provider: hydra-colorlog
|
| 150 |
+
- path: /tmp/ray/session_2024-11-20_18-08-24_619058_2941820/runtime_resources/working_dir_files/_ray_pkg_a254c17765b6da76/diffusion_policy/config
|
| 151 |
+
schema: file
|
| 152 |
+
provider: command-line
|
| 153 |
+
- path: ''
|
| 154 |
+
schema: structured
|
| 155 |
+
provider: schema
|
| 156 |
+
output_dir: /tmp/ray/session_2024-11-20_18-08-24_619058_2941820/runtime_resources/working_dir_files/_ray_pkg_a254c17765b6da76/data/outputs/2024.11.20/18.08.46_train_tedi_unet_hybrid_pusht_image/train_1
|
| 157 |
+
choices:
|
| 158 |
+
task: pusht_image
|
| 159 |
+
hydra/env: default
|
| 160 |
+
hydra/callbacks: null
|
| 161 |
+
hydra/job_logging: default
|
| 162 |
+
hydra/hydra_logging: default
|
| 163 |
+
hydra/hydra_help: default
|
| 164 |
+
hydra/help: default
|
| 165 |
+
hydra/sweeper: basic
|
| 166 |
+
hydra/launcher: basic
|
| 167 |
+
hydra/output: default
|
| 168 |
+
verbose: false
|
PushT/train_1/.hydra/overrides.yaml
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
- task=pusht_image
|
| 2 |
+
- training.seed=43
|
| 3 |
+
- task.env_runner.test_start_seed=4400000
|
| 4 |
+
- logging.name=2024.11.20-18.08.46_train_tedi_unet_hybrid_pusht_image_train_1
|
| 5 |
+
- logging.id=15dbwfa5_train_1
|
| 6 |
+
- logging.group=15dbwfa5
|
PushT/train_1/checkpoints/epoch=0200-test_mean_score=0.823.ckpt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e936417dfb4f3a34f3e23645febbffa500ace71e0a3227b7b8f46a89ff17ea9d
|
| 3 |
+
size 4313219741
|
PushT/train_1/logs.json.txt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7e80512752630e5da4930fc1ae94ed10828df931e8345256453f93c32a685480
|
| 3 |
+
size 16720946
|
PushT/train_1/train.log
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
[2024-11-20 18:09:23,177][diffusion_policy.model.diffusion.conditional_unet1d_tedi][INFO] - number of parameters: 2.527571e+08
|
| 2 |
+
[2024-11-21 02:17:47,811][urllib3.connectionpool][WARNING] - Retrying (Retry(total=2, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(FileNotFoundError(2, 'No such file or directory'))': /api/4504800232407040/envelope/
|
| 3 |
+
[2024-11-21 02:17:47,855][urllib3.connectionpool][WARNING] - Retrying (Retry(total=1, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(FileNotFoundError(2, 'No such file or directory'))': /api/4504800232407040/envelope/
|
| 4 |
+
[2024-11-21 02:17:47,872][urllib3.connectionpool][WARNING] - Retrying (Retry(total=0, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(FileNotFoundError(2, 'No such file or directory'))': /api/4504800232407040/envelope/
|
| 5 |
+
[2024-11-21 02:17:47,905][urllib3.connectionpool][WARNING] - Retrying (Retry(total=2, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(FileNotFoundError(2, 'No such file or directory'))': /api/4504800232407040/envelope/
|
| 6 |
+
[2024-11-21 02:17:47,922][urllib3.connectionpool][WARNING] - Retrying (Retry(total=1, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(FileNotFoundError(2, 'No such file or directory'))': /api/4504800232407040/envelope/
|
| 7 |
+
[2024-11-21 02:17:47,938][urllib3.connectionpool][WARNING] - Retrying (Retry(total=0, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(FileNotFoundError(2, 'No such file or directory'))': /api/4504800232407040/envelope/
|
PushT/train_2/.hydra/config.yaml
ADDED
|
@@ -0,0 +1,159 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
name: train_tedi_unet_hybrid
|
| 2 |
+
_target_: diffusion_policy.workspace.train_tedi_unet_hybrid_workspace.TrainTEDIUnetHybridWorkspace
|
| 3 |
+
task_name: ${task.name}
|
| 4 |
+
shape_meta: ${task.shape_meta}
|
| 5 |
+
exp_name: default
|
| 6 |
+
horizon: 20
|
| 7 |
+
n_obs_steps: 2
|
| 8 |
+
n_action_steps: 8
|
| 9 |
+
n_latency_steps: 0
|
| 10 |
+
dataset_obs_steps: ${n_obs_steps}
|
| 11 |
+
past_action_visible: false
|
| 12 |
+
keypoint_visible_rate: 1.0
|
| 13 |
+
obs_as_global_cond: true
|
| 14 |
+
policy:
|
| 15 |
+
_target_: diffusion_policy.policy.tedi_unet_hybrid_image_policy.TEDIUnetHybridImagePolicy
|
| 16 |
+
shape_meta: ${shape_meta}
|
| 17 |
+
noise_scheduler:
|
| 18 |
+
_target_: diffusion_policy.policy.schedulers.DDPMTEDiScheduler
|
| 19 |
+
num_train_timesteps: 100
|
| 20 |
+
beta_start: 0.0001
|
| 21 |
+
beta_end: 0.02
|
| 22 |
+
beta_schedule: squaredcos_cap_v2
|
| 23 |
+
variance_type: fixed_small
|
| 24 |
+
clip_sample: true
|
| 25 |
+
prediction_type: epsilon
|
| 26 |
+
horizon: ${horizon}
|
| 27 |
+
n_action_steps: ${eval:'${n_action_steps}+${n_latency_steps}'}
|
| 28 |
+
n_obs_steps: ${n_obs_steps}
|
| 29 |
+
num_inference_steps: 100
|
| 30 |
+
obs_as_global_cond: ${obs_as_global_cond}
|
| 31 |
+
crop_shape:
|
| 32 |
+
- 84
|
| 33 |
+
- 84
|
| 34 |
+
diffusion_step_embed_dim: 128
|
| 35 |
+
down_dims:
|
| 36 |
+
- 512
|
| 37 |
+
- 1024
|
| 38 |
+
- 2048
|
| 39 |
+
kernel_size: 5
|
| 40 |
+
n_groups: 8
|
| 41 |
+
cond_predict_scale: true
|
| 42 |
+
obs_encoder_group_norm: true
|
| 43 |
+
eval_fixed_crop: true
|
| 44 |
+
temporally_constant_weight: 0.2
|
| 45 |
+
temporally_increasing_weight: 0.0
|
| 46 |
+
temporally_random_weights: 0.0
|
| 47 |
+
chunk_wise_weight: 0.8
|
| 48 |
+
buffer_init: zero
|
| 49 |
+
ema:
|
| 50 |
+
_target_: diffusion_policy.model.diffusion.ema_model.EMAModel
|
| 51 |
+
update_after_step: 0
|
| 52 |
+
inv_gamma: 1.0
|
| 53 |
+
power: 0.75
|
| 54 |
+
min_value: 0.0
|
| 55 |
+
max_value: 0.9999
|
| 56 |
+
dataloader:
|
| 57 |
+
batch_size: 64
|
| 58 |
+
num_workers: 16
|
| 59 |
+
shuffle: true
|
| 60 |
+
pin_memory: true
|
| 61 |
+
persistent_workers: true
|
| 62 |
+
val_dataloader:
|
| 63 |
+
batch_size: 64
|
| 64 |
+
num_workers: 16
|
| 65 |
+
shuffle: false
|
| 66 |
+
pin_memory: true
|
| 67 |
+
persistent_workers: true
|
| 68 |
+
optimizer:
|
| 69 |
+
_target_: torch.optim.AdamW
|
| 70 |
+
lr: 0.0001
|
| 71 |
+
betas:
|
| 72 |
+
- 0.95
|
| 73 |
+
- 0.999
|
| 74 |
+
eps: 1.0e-08
|
| 75 |
+
weight_decay: 1.0e-06
|
| 76 |
+
training:
|
| 77 |
+
device: cuda:0
|
| 78 |
+
seed: 44
|
| 79 |
+
debug: false
|
| 80 |
+
resume: true
|
| 81 |
+
lr_scheduler: cosine
|
| 82 |
+
lr_warmup_steps: 500
|
| 83 |
+
num_epochs: 1001
|
| 84 |
+
gradient_accumulate_every: 1
|
| 85 |
+
use_ema: true
|
| 86 |
+
rollout_every: 50
|
| 87 |
+
checkpoint_every: 50
|
| 88 |
+
val_every: 1
|
| 89 |
+
sample_every: 5
|
| 90 |
+
max_train_steps: null
|
| 91 |
+
max_val_steps: null
|
| 92 |
+
tqdm_interval_sec: 1.0
|
| 93 |
+
logging:
|
| 94 |
+
project: diffusion_policy_debug
|
| 95 |
+
resume: true
|
| 96 |
+
mode: online
|
| 97 |
+
name: 2024.11.20-18.08.46_train_tedi_unet_hybrid_pusht_image_train_2
|
| 98 |
+
tags:
|
| 99 |
+
- ${name}
|
| 100 |
+
- ${task_name}
|
| 101 |
+
- ${exp_name}
|
| 102 |
+
id: 15dbwfa5_train_2
|
| 103 |
+
group: 15dbwfa5
|
| 104 |
+
checkpoint:
|
| 105 |
+
topk:
|
| 106 |
+
monitor_key: test_mean_score
|
| 107 |
+
mode: max
|
| 108 |
+
k: 1
|
| 109 |
+
format_str: epoch={epoch:04d}-test_mean_score={test_mean_score:.3f}.ckpt
|
| 110 |
+
save_last_ckpt: false
|
| 111 |
+
save_last_snapshot: false
|
| 112 |
+
multi_run:
|
| 113 |
+
run_dir: data/outputs/${now:%Y.%m.%d}/${now:%H.%M.%S}_${name}_${task_name}
|
| 114 |
+
wandb_name_base: ${now:%Y.%m.%d-%H.%M.%S}_${name}_${task_name}
|
| 115 |
+
task:
|
| 116 |
+
name: pusht_image
|
| 117 |
+
image_shape:
|
| 118 |
+
- 3
|
| 119 |
+
- 96
|
| 120 |
+
- 96
|
| 121 |
+
shape_meta:
|
| 122 |
+
obs:
|
| 123 |
+
image:
|
| 124 |
+
shape:
|
| 125 |
+
- 3
|
| 126 |
+
- 96
|
| 127 |
+
- 96
|
| 128 |
+
type: rgb
|
| 129 |
+
agent_pos:
|
| 130 |
+
shape:
|
| 131 |
+
- 2
|
| 132 |
+
type: low_dim
|
| 133 |
+
action:
|
| 134 |
+
shape:
|
| 135 |
+
- 2
|
| 136 |
+
env_runner:
|
| 137 |
+
_target_: diffusion_policy.env_runner.pusht_image_runner.PushTImageRunner
|
| 138 |
+
n_train: 6
|
| 139 |
+
n_train_vis: 2
|
| 140 |
+
train_start_seed: 0
|
| 141 |
+
n_test: 50
|
| 142 |
+
n_test_vis: 4
|
| 143 |
+
legacy_test: true
|
| 144 |
+
test_start_seed: 4500000
|
| 145 |
+
max_steps: 300
|
| 146 |
+
n_obs_steps: ${n_obs_steps}
|
| 147 |
+
n_action_steps: ${n_action_steps}
|
| 148 |
+
fps: 10
|
| 149 |
+
past_action: ${past_action_visible}
|
| 150 |
+
n_envs: null
|
| 151 |
+
dataset:
|
| 152 |
+
_target_: diffusion_policy.dataset.pusht_image_dataset.PushTImageDataset
|
| 153 |
+
zarr_path: data/pusht/pusht_cchi_v7_replay.zarr
|
| 154 |
+
horizon: ${horizon}
|
| 155 |
+
pad_before: ${eval:'${n_obs_steps}-1'}
|
| 156 |
+
pad_after: ${eval:'${n_action_steps}-1'}
|
| 157 |
+
seed: 42
|
| 158 |
+
val_ratio: 0.02
|
| 159 |
+
max_train_episodes: 90
|
PushT/train_2/.hydra/hydra.yaml
ADDED
|
@@ -0,0 +1,168 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
hydra:
|
| 2 |
+
run:
|
| 3 |
+
dir: data/outputs/2024.11.20/18.08.46_train_tedi_unet_hybrid_pusht_image/train_2
|
| 4 |
+
sweep:
|
| 5 |
+
dir: data/outputs/${now:%Y.%m.%d}/${now:%H.%M.%S}_${name}_${task_name}
|
| 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.run.dir=data/outputs/2024.11.20/18.08.46_train_tedi_unet_hybrid_pusht_image/train_2
|
| 114 |
+
- hydra.mode=RUN
|
| 115 |
+
task:
|
| 116 |
+
- task=pusht_image
|
| 117 |
+
- training.seed=44
|
| 118 |
+
- task.env_runner.test_start_seed=4500000
|
| 119 |
+
- logging.name=2024.11.20-18.08.46_train_tedi_unet_hybrid_pusht_image_train_2
|
| 120 |
+
- logging.id=15dbwfa5_train_2
|
| 121 |
+
- logging.group=15dbwfa5
|
| 122 |
+
job:
|
| 123 |
+
name: train
|
| 124 |
+
chdir: null
|
| 125 |
+
override_dirname: logging.group=15dbwfa5,logging.id=15dbwfa5_train_2,logging.name=2024.11.20-18.08.46_train_tedi_unet_hybrid_pusht_image_train_2,task.env_runner.test_start_seed=4500000,task=pusht_image,training.seed=44
|
| 126 |
+
id: ???
|
| 127 |
+
num: ???
|
| 128 |
+
config_name: train_tedi_unet_hybrid_workspace.yaml
|
| 129 |
+
env_set: {}
|
| 130 |
+
env_copy: []
|
| 131 |
+
config:
|
| 132 |
+
override_dirname:
|
| 133 |
+
kv_sep: '='
|
| 134 |
+
item_sep: ','
|
| 135 |
+
exclude_keys: []
|
| 136 |
+
runtime:
|
| 137 |
+
version: 1.2.0
|
| 138 |
+
version_base: '1.2'
|
| 139 |
+
cwd: /tmp/ray/session_2024-11-20_18-08-24_619058_2941820/runtime_resources/working_dir_files/_ray_pkg_a254c17765b6da76
|
| 140 |
+
config_sources:
|
| 141 |
+
- path: hydra.conf
|
| 142 |
+
schema: pkg
|
| 143 |
+
provider: hydra
|
| 144 |
+
- path: /tmp/ray/session_2024-11-20_18-08-24_619058_2941820/runtime_resources/working_dir_files/_ray_pkg_a254c17765b6da76/diffusion_policy/config
|
| 145 |
+
schema: file
|
| 146 |
+
provider: main
|
| 147 |
+
- path: hydra_plugins.hydra_colorlog.conf
|
| 148 |
+
schema: pkg
|
| 149 |
+
provider: hydra-colorlog
|
| 150 |
+
- path: /tmp/ray/session_2024-11-20_18-08-24_619058_2941820/runtime_resources/working_dir_files/_ray_pkg_a254c17765b6da76/diffusion_policy/config
|
| 151 |
+
schema: file
|
| 152 |
+
provider: command-line
|
| 153 |
+
- path: ''
|
| 154 |
+
schema: structured
|
| 155 |
+
provider: schema
|
| 156 |
+
output_dir: /tmp/ray/session_2024-11-20_18-08-24_619058_2941820/runtime_resources/working_dir_files/_ray_pkg_a254c17765b6da76/data/outputs/2024.11.20/18.08.46_train_tedi_unet_hybrid_pusht_image/train_2
|
| 157 |
+
choices:
|
| 158 |
+
task: pusht_image
|
| 159 |
+
hydra/env: default
|
| 160 |
+
hydra/callbacks: null
|
| 161 |
+
hydra/job_logging: default
|
| 162 |
+
hydra/hydra_logging: default
|
| 163 |
+
hydra/hydra_help: default
|
| 164 |
+
hydra/help: default
|
| 165 |
+
hydra/sweeper: basic
|
| 166 |
+
hydra/launcher: basic
|
| 167 |
+
hydra/output: default
|
| 168 |
+
verbose: false
|
PushT/train_2/.hydra/overrides.yaml
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
- task=pusht_image
|
| 2 |
+
- training.seed=44
|
| 3 |
+
- task.env_runner.test_start_seed=4500000
|
| 4 |
+
- logging.name=2024.11.20-18.08.46_train_tedi_unet_hybrid_pusht_image_train_2
|
| 5 |
+
- logging.id=15dbwfa5_train_2
|
| 6 |
+
- logging.group=15dbwfa5
|
PushT/train_2/checkpoints/epoch=0200-test_mean_score=0.807.ckpt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e7a0ea3372d2d2790d31770b6733049516b828728338c4886ea5e4ae34080c90
|
| 3 |
+
size 4313219741
|
PushT/train_2/logs.json.txt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:85caa7e7dc64930ff961e566c278ae09145cb00f37534730d6f8806d7056dd7e
|
| 3 |
+
size 16720977
|
PushT/train_2/train.log
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
[2024-11-20 18:09:23,168][diffusion_policy.model.diffusion.conditional_unet1d_tedi][INFO] - number of parameters: 2.527571e+08
|
| 2 |
+
[2024-11-21 02:08:06,754][urllib3.connectionpool][WARNING] - Retrying (Retry(total=2, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(FileNotFoundError(2, 'No such file or directory'))': /api/4504800232407040/envelope/
|
| 3 |
+
[2024-11-21 02:08:06,797][urllib3.connectionpool][WARNING] - Retrying (Retry(total=1, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(FileNotFoundError(2, 'No such file or directory'))': /api/4504800232407040/envelope/
|
| 4 |
+
[2024-11-21 02:08:06,813][urllib3.connectionpool][WARNING] - Retrying (Retry(total=0, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(FileNotFoundError(2, 'No such file or directory'))': /api/4504800232407040/envelope/
|
| 5 |
+
[2024-11-21 02:08:06,847][urllib3.connectionpool][WARNING] - Retrying (Retry(total=2, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(FileNotFoundError(2, 'No such file or directory'))': /api/4504800232407040/envelope/
|
| 6 |
+
[2024-11-21 02:08:06,863][urllib3.connectionpool][WARNING] - Retrying (Retry(total=1, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(FileNotFoundError(2, 'No such file or directory'))': /api/4504800232407040/envelope/
|
| 7 |
+
[2024-11-21 02:08:06,880][urllib3.connectionpool][WARNING] - Retrying (Retry(total=0, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(FileNotFoundError(2, 'No such file or directory'))': /api/4504800232407040/envelope/
|