Upload YAML configuration
Browse files- config.yaml +213 -0
config.yaml
ADDED
@@ -0,0 +1,213 @@
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1 |
+
resume: false
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+
device: cuda
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+
use_amp: false
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+
seed: 1000
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+
dataset_repo_id: iantc104/gv_sim_slot_insertion_3arms
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+
video_backend: pyav
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training:
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offline_steps: 15625
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num_workers: 4
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batch_size: 16
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eval_freq: 1000
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log_freq: 100
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save_checkpoint: true
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save_freq: 1000
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+
online_steps: 0
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+
online_rollout_n_episodes: 1
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+
online_rollout_batch_size: 1
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+
online_steps_between_rollouts: 1
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+
online_sampling_ratio: 0.5
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+
online_env_seed: null
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+
online_buffer_capacity: null
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+
online_buffer_seed_size: 0
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do_online_rollout_async: false
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+
image_transforms:
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enable: false
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+
max_num_transforms: 3
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+
random_order: false
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+
brightness:
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+
weight: 1
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+
min_max:
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+
- 0.8
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+
- 1.2
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+
contrast:
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+
weight: 1
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+
min_max:
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- 0.8
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+
- 1.2
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+
saturation:
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+
weight: 1
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+
min_max:
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+
- 0.5
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+
- 1.5
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+
hue:
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+
weight: 1
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+
min_max:
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+
- -0.05
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+
- 0.05
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+
sharpness:
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+
weight: 1
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+
min_max:
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- 0.8
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+
- 1.2
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+
lr: 2.5e-05
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+
lr_backbone: 1.0e-05
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+
weight_decay: 0.0001
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+
grad_clip_norm: 10
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+
delta_timestamps:
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+
action:
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+
- 0.0
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60 |
+
- 0.04
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61 |
+
- 0.08
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62 |
+
- 0.12
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63 |
+
- 0.16
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64 |
+
- 0.2
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65 |
+
- 0.24
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66 |
+
- 0.28
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67 |
+
- 0.32
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68 |
+
- 0.36
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69 |
+
- 0.4
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70 |
+
- 0.44
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71 |
+
- 0.48
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72 |
+
- 0.52
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73 |
+
- 0.56
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74 |
+
- 0.6
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75 |
+
- 0.64
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76 |
+
- 0.68
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77 |
+
- 0.72
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78 |
+
- 0.76
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79 |
+
- 0.8
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80 |
+
- 0.84
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81 |
+
- 0.88
|
82 |
+
- 0.92
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83 |
+
- 0.96
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84 |
+
- 1.0
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85 |
+
- 1.04
|
86 |
+
- 1.08
|
87 |
+
- 1.12
|
88 |
+
- 1.16
|
89 |
+
- 1.2
|
90 |
+
- 1.24
|
91 |
+
- 1.28
|
92 |
+
- 1.32
|
93 |
+
- 1.36
|
94 |
+
- 1.4
|
95 |
+
- 1.44
|
96 |
+
- 1.48
|
97 |
+
- 1.52
|
98 |
+
- 1.56
|
99 |
+
- 1.6
|
100 |
+
- 1.64
|
101 |
+
- 1.68
|
102 |
+
- 1.72
|
103 |
+
- 1.76
|
104 |
+
- 1.8
|
105 |
+
- 1.84
|
106 |
+
- 1.88
|
107 |
+
- 1.92
|
108 |
+
- 1.96
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109 |
+
eval:
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110 |
+
n_episodes: 1
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111 |
+
batch_size: 1
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112 |
+
use_async_envs: false
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113 |
+
wandb:
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114 |
+
enable: true
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115 |
+
disable_artifact: false
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116 |
+
project: lerobot
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117 |
+
notes: ''
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118 |
+
fps: 25
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119 |
+
env:
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+
name: guided_vision
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121 |
+
task: SlotInsertion-3Arms-v0
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122 |
+
state_dim: 21
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123 |
+
action_dim: 21
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124 |
+
fps: ${fps}
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+
episode_length: 300
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126 |
+
override_dataset_stats:
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127 |
+
observation.images.zed_cam_left:
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128 |
+
mean:
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129 |
+
- - - 0.485
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130 |
+
- - - 0.456
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131 |
+
- - - 0.406
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132 |
+
std:
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133 |
+
- - - 0.229
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134 |
+
- - - 0.224
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135 |
+
- - - 0.225
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136 |
+
observation.images.zed_cam_right:
|
137 |
+
mean:
|
138 |
+
- - - 0.485
|
139 |
+
- - - 0.456
|
140 |
+
- - - 0.406
|
141 |
+
std:
|
142 |
+
- - - 0.229
|
143 |
+
- - - 0.224
|
144 |
+
- - - 0.225
|
145 |
+
observation.images.wrist_cam_left:
|
146 |
+
mean:
|
147 |
+
- - - 0.485
|
148 |
+
- - - 0.456
|
149 |
+
- - - 0.406
|
150 |
+
std:
|
151 |
+
- - - 0.229
|
152 |
+
- - - 0.224
|
153 |
+
- - - 0.225
|
154 |
+
observation.images.wrist_cam_right:
|
155 |
+
mean:
|
156 |
+
- - - 0.485
|
157 |
+
- - - 0.456
|
158 |
+
- - - 0.406
|
159 |
+
std:
|
160 |
+
- - - 0.229
|
161 |
+
- - - 0.224
|
162 |
+
- - - 0.225
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163 |
+
policy:
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164 |
+
name: act
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165 |
+
n_obs_steps: 1
|
166 |
+
chunk_size: 50
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167 |
+
n_action_steps: 50
|
168 |
+
input_shapes:
|
169 |
+
observation.images.zed_cam_left:
|
170 |
+
- 3
|
171 |
+
- 480
|
172 |
+
- 640
|
173 |
+
observation.images.zed_cam_right:
|
174 |
+
- 3
|
175 |
+
- 480
|
176 |
+
- 640
|
177 |
+
observation.images.wrist_cam_left:
|
178 |
+
- 3
|
179 |
+
- 480
|
180 |
+
- 640
|
181 |
+
observation.images.wrist_cam_right:
|
182 |
+
- 3
|
183 |
+
- 480
|
184 |
+
- 640
|
185 |
+
observation.state:
|
186 |
+
- ${env.state_dim}
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187 |
+
output_shapes:
|
188 |
+
action:
|
189 |
+
- ${env.action_dim}
|
190 |
+
input_normalization_modes:
|
191 |
+
observation.images.zed_cam_left: mean_std
|
192 |
+
observation.images.zed_cam_right: mean_std
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193 |
+
observation.images.wrist_cam_left: mean_std
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194 |
+
observation.images.wrist_cam_right: mean_std
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195 |
+
observation.state: mean_std
|
196 |
+
output_normalization_modes:
|
197 |
+
action: mean_std
|
198 |
+
vision_backbone: resnet18
|
199 |
+
pretrained_backbone_weights: ResNet18_Weights.IMAGENET1K_V1
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200 |
+
replace_final_stride_with_dilation: false
|
201 |
+
pre_norm: false
|
202 |
+
dim_model: 512
|
203 |
+
n_heads: 8
|
204 |
+
dim_feedforward: 3200
|
205 |
+
feedforward_activation: relu
|
206 |
+
n_encoder_layers: 4
|
207 |
+
n_decoder_layers: 1
|
208 |
+
use_vae: true
|
209 |
+
latent_dim: 32
|
210 |
+
n_vae_encoder_layers: 4
|
211 |
+
temporal_ensemble_coeff: null
|
212 |
+
dropout: 0.1
|
213 |
+
kl_weight: 10.0
|