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seed: 0 |
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output_dir: output/05_05_2024_20_21_54_727275 |
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domains: austin_sailor_dataset_converted_externally_to_rlds, stanford_hydra_dataset_converted_externally_to_rlds, |
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austin_buds_dataset_converted_externally_to_rlds, austin_sirius_dataset_converted_externally_to_rlds, |
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berkeley_mvp_converted_externally_to_rlds, berkeley_rpt_converted_externally_to_rlds, |
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iamlab_cmu_pickup_insert_converted_externally_to_rlds, utaustin_mutex, imperialcollege_sawyer_wrist_cam, |
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stanford_mask_vit_converted_externally_to_rlds, language_table, kuka, bc_z, robo_net, |
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dlr_sara_pour_converted_externally_to_rlds, stanford_robocook_converted_externally_to_rlds, |
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cmu_play_fusion, bridge, furniture_bench_dataset_converted_externally_to_rlds, ucsd_pick_and_place_dataset_converted_externally_to_rlds, |
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usc_cloth_sim_converted_externally_to_rlds, stanford_kuka_multimodal_dataset_converted_externally_to_rlds, |
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roboturk, kaist_nonprehensile_converted_externally_to_rlds, asu_table_top_converted_externally_to_rlds, |
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utokyo_xarm_pick_and_place_converted_externally_to_rlds, berkeley_cable_routing, |
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droid, uiuc_d3field, robo_set, qut_dexterous_manpulation, nyu_door_opening_surprising_effectiveness, |
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nyu_franka_play_dataset_converted_externally_to_rlds, mimic_play, maniskill_dataset_converted_externally_to_rlds, |
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columbia_cairlab_pusht_real, conq_hose_manipulation, dlr_edan_shared_control_converted_externally_to_rlds, |
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berkeley_gnm_sac_son, berkeley_autolab_ur5, aloha_mobile, agent_aware_affordances |
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log_dir: output/05_05_2024_20_21_54_727275 |
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debug_distributed: false |
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wb_tag: default |
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wb_cont_run: 3tv0j6ts |
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log_interval: 10 |
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script_name: run_resnet_30dataset_traj100000_embed_512_batch2048_800k |
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save_wb_checkpoint: true |
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slurm_job_id: '27155766' |
|
effective_total_epochs: 100 |
|
effective_batch_size: 256 |
|
epoch_size: 10 |
|
total_num_traj: 0 |
|
total_num_sample: 0 |
|
rank: 0 |
|
gpu: 0 |
|
task_per_gpu: 1 |
|
world_size: 32 |
|
debug_submitit: false |
|
ngpus: 8 |
|
nodes: 4 |
|
timeout: 4320 |
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job_dir: logs/ |
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partition: learnlab |
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use_volta32: true |
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comment: '' |
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resume: logs/ |
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dist_url: file:///checkpoint/xinleic/experiments/855d1a9c880549309c4f301b0fe381be_init |
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dist_on_itp: false |
|
local_rank: 1 |
|
distributed: true |
|
dist_backend: nccl |
|
dset_w_temperature: 2.0 |
|
dataset_shuffle: true |
|
dataset_groups: '' |
|
nodelist: learnlab,learnfair,scavenge |
|
fsdp: false |
|
count_flops: false |
|
accumuate_gradient_steps: 2 |
|
trunk_acc_gradient_step: 1 |
|
submitit_autoresume: true |
|
customized_dataset_mixture_file: '' |
|
trunk_separate_opt: false |
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dataset: |
|
_target_: hpt_pretrain.dataset.traj_dataset.TrajDataset |
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horizon: 5 |
|
val_ratio: 0.1 |
|
pad_after: 0 |
|
precompute_feat: true |
|
image_encoder: resnet |
|
episode_cnt: 100000 |
|
step_cnt: 10000000 |
|
data_augmentation: false |
|
use_disk: true |
|
pad_before: 0 |
|
data_ratio: 1 |
|
action_horizon: 8 |
|
observation_horizon: 4 |
|
dataset_postfix: _traj100000 |
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dataset_encoder_postfix: _resnet |
|
use_multiview: false |
|
normalize_state: true |
|
use_heldout_dataset: true |
|
heldout_dataset: false |
|
regenerate: false |
|
continue_generate: false |
|
network: |
|
_target_: hpt_pretrain.models.policy.Policy |
|
embed_dim: 512 |
|
num_blocks: 16 |
|
num_heads: 8 |
|
use_modality_embedding: true |
|
use_domain_embedding: false |
|
token_postprocessing: mean |
|
weight_init_style: pytorch |
|
drop_path: 0.1 |
|
mae_loss_scale: 0.0 |
|
masked_autoencoding: false |
|
action_horizon: ${dataset.action_horizon} |
|
stem: |
|
modalities: |
|
- image |
|
- state |
|
modality_embed_dim: 512 |
|
normalize_state: ${dataset.normalize_state} |
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state_embedding_dim: 1 |
|
image_encoder: ${dataset.image_encoder} |
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crossattn_dim_head: 64 |
|
crossattn_heads: 8 |
|
crossattn_modality_dropout: 0.1 |
|
observation_horizon: ${dataset.observation_horizon} |
|
random_horizon_masking: true |
|
add_pos_embedding_to_state: false |
|
num_blocks: 1 |
|
crossattn_latent: |
|
image: 16 |
|
state: 16 |
|
image: |
|
_target_: hpt_pretrain.models.policy_stem.MLP |
|
input_dim: 512 |
|
output_dim: 512 |
|
widths: |
|
- 128 |
|
num_of_copy: 1 |
|
state: |
|
_target_: hpt_pretrain.models.policy_stem.MLP |
|
input_dim: 8 |
|
output_dim: 512 |
|
widths: |
|
- 128 |
|
head: |
|
_target_: hpt_pretrain.models.policy_head.MLP |
|
input_dim: 512 |
|
tanh_end: true |
|
output_dim: 48 |
|
dropout: true |
|
widths: |
|
- 256 |
|
- 128 |
|
dataloader: |
|
batch_size: 64 |
|
num_workers: 1 |
|
pin_memory: false |
|
persistent_workers: false |
|
drop_last: true |
|
val_dataloader: |
|
num_workers: 1 |
|
pin_memory: false |
|
persistent_workers: false |
|
ddp_dataloader: |
|
num_workers: 8 |
|
pin_memory: false |
|
persistent_workers: false |
|
drop_last: false |
|
prefetch_factor: 6 |
|
ddp_val_dataloader: |
|
num_workers: 8 |
|
pin_memory: false |
|
persistent_workers: false |
|
drop_last: false |
|
prefetch_factor: 2 |
|
optimizer: |
|
_target_: torch.optim.AdamW |
|
lr: 0.001 |
|
eps: 1.0e-06 |
|
weight_decay: 0.05 |
|
optimizer_misc: |
|
nontrunk_lr_scale: 0.5 |
|
warmup_lr: |
|
lr: 1.0e-10 |
|
step: 1000 |
|
train: |
|
total_epochs: 30000 |
|
total_iters: 800000 |
|
epoch_iters: 1000 |
|
validation_iters: 100 |
|
use_accumulation: false |
|
pretrained_dir: '05_05_2024_20_21_54_727275' |
|
max_validation_size: 10 |
|
load_pretrain_trunk_only: false |
|
freeze_trunk: false |
|
lr_scheduler: |
|
_target_: torch.optim.lr_scheduler.CosineAnnealingLR |
|
T_max: 800000 |
|
eta_min: 1.0e-06 |
|
|