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Delete NutAssemblySquare

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  1. NutAssemblySquare/v0/checkpoints/epoch=0140-test_mean_score=1.000.ckpt +0 -3
  2. NutAssemblySquare/v0/checkpoints/latest.ckpt +0 -3
  3. NutAssemblySquare/v0/logs.json.txt +0 -3
  4. NutAssemblySquare/v0/train.log +0 -174
  5. NutAssemblySquare/v0/wandb/debug-internal.log +0 -20
  6. NutAssemblySquare/v0/wandb/debug.log +0 -27
  7. NutAssemblySquare/v0/wandb/run-20241111_213035-kyr0wjsm/files/code/train.py +0 -35
  8. NutAssemblySquare/v0/wandb/run-20241111_213035-kyr0wjsm/files/config.yaml +0 -374
  9. NutAssemblySquare/v0/wandb/run-20241111_213035-kyr0wjsm/files/output.log +0 -1
  10. NutAssemblySquare/v0/wandb/run-20241111_213035-kyr0wjsm/files/wandb-metadata.json +0 -54
  11. NutAssemblySquare/v0/wandb/run-20241111_213035-kyr0wjsm/files/wandb-summary.json +0 -1
  12. NutAssemblySquare/v0/wandb/run-20241111_213035-kyr0wjsm/logs/debug-core.log +0 -14
  13. NutAssemblySquare/v0/wandb/run-20241111_213035-kyr0wjsm/logs/debug-internal.log +0 -20
  14. NutAssemblySquare/v0/wandb/run-20241111_213035-kyr0wjsm/logs/debug.log +0 -27
  15. NutAssemblySquare/v0/wandb/run-20241111_213035-kyr0wjsm/run-kyr0wjsm.wandb +0 -3
  16. NutAssemblySquare/v0/wandb/wandb-resume.json +0 -1
NutAssemblySquare/v0/checkpoints/epoch=0140-test_mean_score=1.000.ckpt DELETED
@@ -1,3 +0,0 @@
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NutAssemblySquare/v0/checkpoints/latest.ckpt DELETED
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- version https://git-lfs.github.com/spec/v1
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- oid sha256:ad523da733239304fce0d01721e883d84761e50fe925ca5a1cd71ef30e8cfe3d
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- size 5270009588
 
 
 
 
NutAssemblySquare/v0/logs.json.txt DELETED
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- version https://git-lfs.github.com/spec/v1
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- oid sha256:38e3d43e76e0151387aeefe6be0307517e30194e67b29c52e3670ae863bc33a7
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- size 34577164
 
 
 
 
NutAssemblySquare/v0/train.log DELETED
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- [2024-11-11 21:30:03,777][adaflow.model.diffusion.conditional_unet1d][INFO] - number of parameters: 3.069923e+08
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- [2024-11-11 21:30:30,875][robosuite_logs][WARNING] - No private macro file found!
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- [2024-11-11 21:30:30,875][robosuite_logs][WARNING] - It is recommended to use a private macro file
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- [2024-11-11 21:30:30,875][robosuite_logs][WARNING] - To setup, run: python /home/thankyou/miniforge3/envs/adaflow1/lib/python3.10/site-packages/robosuite/scripts/setup_macros.py
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- [2024-11-11 21:30:30,941][robosuite_logs][WARNING] - Could not import robosuite_models. Some robots may not be available. If you want to use these robots, please install robosuite_models from source (https://github.com/ARISE-Initiative/robosuite_models) or through pip install.
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- [2024-11-11 21:30:30,941][robosuite_logs][WARNING] - Could not load the mink-based whole-body IK. Make sure you install related import properly, otherwise you will not be able to use the default IK controller setting for GR1 robot.
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- [2024-11-11 21:30:31,367][root][INFO] - Device 0 is available for rendering
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- [2024-11-11 21:30:31,604][root][INFO] - Command '['/home/thankyou/miniforge3/envs/adaflow1/lib/python3.10/site-packages/egl_probe/build/test_device', '3']' returned non-zero exit status 1.
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- [2024-11-11 21:30:31,750][root][INFO] - Command '['/home/thankyou/miniforge3/envs/adaflow1/lib/python3.10/site-packages/egl_probe/build/test_device', '3']' returned non-zero exit status 1.
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- [2024-11-11 21:30:33,711][root][INFO] - Command '['/home/thankyou/miniforge3/envs/adaflow1/lib/python3.10/site-packages/egl_probe/build/test_device', '3']' returned non-zero exit status 1.
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- [2024-11-11 21:30:33,851][root][INFO] - Command '['/home/thankyou/miniforge3/envs/adaflow1/lib/python3.10/site-packages/egl_probe/build/test_device', '3']' returned non-zero exit status 1.
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- [2024-11-11 21:30:33,952][root][INFO] - Command '['/home/thankyou/miniforge3/envs/adaflow1/lib/python3.10/site-packages/egl_probe/build/test_device', '3']' returned non-zero exit status 1.
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- [2024-11-11 21:30:34,053][root][INFO] - Command '['/home/thankyou/miniforge3/envs/adaflow1/lib/python3.10/site-packages/egl_probe/build/test_device', '3']' returned non-zero exit status 1.
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- [2024-11-11 21:30:34,135][root][INFO] - Command '['/home/thankyou/miniforge3/envs/adaflow1/lib/python3.10/site-packages/egl_probe/build/test_device', '2']' returned non-zero exit status 1.
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- [2024-11-11 21:30:34,185][root][INFO] - Command '['/home/thankyou/miniforge3/envs/adaflow1/lib/python3.10/site-packages/egl_probe/build/test_device', '3']' returned non-zero exit status 1.
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- [2024-11-11 21:30:34,240][root][INFO] - Command '['/home/thankyou/miniforge3/envs/adaflow1/lib/python3.10/site-packages/egl_probe/build/test_device', '2']' returned non-zero exit status 1.
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- [2024-11-11 21:30:34,275][root][INFO] - Command '['/home/thankyou/miniforge3/envs/adaflow1/lib/python3.10/site-packages/egl_probe/build/test_device', '3']' returned non-zero exit status 1.
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- config: {'name': 'train_diffusion_unet_image', '_target_': 'adaflow.workspace.train_diffusion_unet_image_workspace.TrainDiffusionUnetImageWorkspace', 'task_name': 'square_image', 'dataset_type': 'ph', 'shape_meta': {'obs': {'agentview_image': {'shape': [3, 84, 84], 'type': 'rgb'}, 'robot0_eye_in_hand_image': {'shape': [3, 84, 84], 'type': 'rgb'}, 'robot0_eef_pos': {'shape': [3]}, 'robot0_eef_quat': {'shape': [4]}, 'robot0_gripper_qpos': {'shape': [2]}}, 'action': {'shape': [10]}}, 'exp_name': 'default', 'horizon': 16, 'n_obs_steps': 2, 'n_action_steps': 8, 'n_latency_steps': 0, 'dataset_obs_steps': 2, 'past_action_visible': False, 'keypoint_visible_rate': 1.0, 'obs_as_global_cond': True, 'policy': {'_target_': 'adaflow.policy.diffusion_unet_image_policy.DiffusionUnetImagePolicy', 'shape_meta': {'obs': {'agentview_image': {'shape': [3, 84, 84], 'type': 'rgb'}, 'robot0_eye_in_hand_image': {'shape': [3, 84, 84], 'type': 'rgb'}, 'robot0_eef_pos': {'shape': [3]}, 'robot0_eef_quat': {'shape': [4]}, 'robot0_gripper_qpos': {'shape': [2]}}, 'action': {'shape': [10]}}, 'noise_scheduler': {'_target_': 'diffusers.schedulers.scheduling_ddpm.DDPMScheduler', 'num_train_timesteps': 100, 'beta_start': 0.0001, 'beta_end': 0.02, 'beta_schedule': 'squaredcos_cap_v2', 'variance_type': 'fixed_small', 'clip_sample': True, 'prediction_type': 'epsilon'}, 'obs_encoder': {'_target_': 'adaflow.model.vision.multi_image_obs_encoder.MultiImageObsEncoder', 'shape_meta': {'obs': {'agentview_image': {'shape': [3, 84, 84], 'type': 'rgb'}, 'robot0_eye_in_hand_image': {'shape': [3, 84, 84], 'type': 'rgb'}, 'robot0_eef_pos': {'shape': [3]}, 'robot0_eef_quat': {'shape': [4]}, 'robot0_gripper_qpos': {'shape': [2]}}, 'action': {'shape': [10]}}, 'rgb_model': {'_target_': 'adaflow.model.vision.model_getter.get_resnet', 'name': 'resnet18', 'weights': None}, 'resize_shape': None, 'crop_shape': [76, 76], 'random_crop': True, 'use_group_norm': True, 'share_rgb_model': False, 'imagenet_norm': True}, 'horizon': 16, 'n_action_steps': 8, 'n_obs_steps': 2, 'num_inference_steps': 100, 'obs_as_global_cond': True, 'diffusion_step_embed_dim': 128, 'down_dims': [512, 1024, 2048], 'kernel_size': 5, 'n_groups': 8, 'cond_predict_scale': True}, 'ema': {'_target_': 'adaflow.model.diffusion.ema_model.EMAModel', 'update_after_step': 0, 'inv_gamma': 1.0, 'power': 0.75, 'min_value': 0.0, 'max_value': 0.9999}, 'dataloader': {'batch_size': 64, 'num_workers': 4, 'shuffle': True, 'pin_memory': True, 'persistent_workers': False}, 'val_dataloader': {'batch_size': 64, 'num_workers': 8, 'shuffle': False, 'pin_memory': True, 'persistent_workers': False}, 'optimizer': {'_target_': 'torch.optim.AdamW', 'lr': 0.0001, 'betas': [0.95, 0.999], 'eps': 1e-08, 'weight_decay': 1e-06}, 'training': {'device': 'cuda:0', 'seed': 42, 'debug': False, 'resume': True, 'resume_dir': None, 'lr_scheduler': 'cosine', 'lr_warmup_steps': 500, 'num_epochs': 600, 'gradient_accumulate_every': 1, 'use_ema': True, 'freeze_encoder': 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'rgb'}, 'robot0_eef_pos': {'shape': [3]}, 'robot0_eef_quat': {'shape': [4]}, 'robot0_gripper_qpos': {'shape': [2]}}, 'action': {'shape': [10]}}, 'task_name': 'square', 'dataset_type': 'ph', 'dataset_path': '/home/thankyou/autom/demo-aug/datasets/generated/NutAssemblySquare/2024-11-11-merged-cpgen-naive-env-reset/18-24-49-175405_99demos_199demos_with_obs.hdf5', 'abs_action': True, 'env_runner': {'_target_': 'adaflow.env_runner.robomimic_image_runner.RobomimicImageRunner', 'dataset_path': '/home/thankyou/autom/demo-aug/datasets/generated/NutAssemblySquare/2024-11-11-merged-cpgen-naive-env-reset/18-24-49-175405_99demos_199demos_with_obs.hdf5', 'shape_meta': {'obs': {'agentview_image': {'shape': [3, 84, 84], 'type': 'rgb'}, 'robot0_eye_in_hand_image': {'shape': [3, 84, 84], 'type': 'rgb'}, 'robot0_eef_pos': {'shape': [3]}, 'robot0_eef_quat': {'shape': [4]}, 'robot0_gripper_qpos': {'shape': [2]}}, 'action': {'shape': [10]}}, 'n_train': 8, 'n_train_vis': 4, 'train_start_idx': 0, 'n_test': 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NutAssemblySquare/v0/wandb/run-20241111_213035-kyr0wjsm/files/code/train.py DELETED
@@ -1,35 +0,0 @@
1
- import sys
2
- # use line-buffering for both stdout and stderr
3
- sys.stdout = open(sys.stdout.fileno(), mode='w', buffering=1)
4
- sys.stderr = open(sys.stderr.fileno(), mode='w', buffering=1)
5
-
6
- import hydra
7
- import pathlib
8
-
9
- from omegaconf import OmegaConf
10
-
11
- from adaflow.workspace.base_workspace import BaseWorkspace
12
-
13
- # allows arbitrary python code execution in configs using the ${eval:''} resolver
14
- OmegaConf.register_new_resolver("eval", eval, replace=True)
15
-
16
- @hydra.main(
17
- version_base=None,
18
- config_path=str(pathlib.Path(__file__).parent.joinpath(
19
- 'adaflow','config'))
20
- )
21
- def main(cfg: OmegaConf):
22
- # resolve immediately so all the ${now:} resolvers
23
- # will use the same time.
24
- # save dict as json
25
- OmegaConf.resolve(cfg)
26
- cls = hydra.utils.get_class(cfg._target_)
27
- if cfg.training.resume_dir is not None:
28
- workspace: BaseWorkspace = cls(cfg, output_dir=cfg.training.resume_dir)
29
- else:
30
- workspace: BaseWorkspace = cls(cfg)
31
-
32
- workspace.run()
33
-
34
- if __name__ == "__main__":
35
- main()
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
NutAssemblySquare/v0/wandb/run-20241111_213035-kyr0wjsm/files/config.yaml DELETED
@@ -1,374 +0,0 @@
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- _target_:
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- value: adaflow.workspace.train_diffusion_unet_image_workspace.TrainDiffusionUnetImageWorkspace
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- _wandb:
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- value:
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- cli_version: 0.18.6
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- code_path: code/train.py
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- m: []
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- python_version: 3.10.15
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- t:
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- "1":
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- - 1
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- - 41
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- - 49
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- - 50
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- - 55
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- - 83
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- "2":
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- - 1
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- - 41
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- - 49
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- - 50
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- "3":
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- - 13
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- - 15
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- - 16
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- - 23
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- - 55
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- "5": 0.18.6
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- "8":
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- - 5
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- "13": linux-x86_64
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- checkpoint:
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- value:
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- save_last_ckpt: true
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- save_last_snapshot: false
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- topk:
42
- format_str: epoch={epoch:04d}-test_mean_score={test_mean_score:.3f}.ckpt
43
- k: 1
44
- mode: max
45
- monitor_key: test_mean_score
46
- dataloader:
47
- value:
48
- batch_size: 64
49
- num_workers: 4
50
- persistent_workers: false
51
- pin_memory: true
52
- shuffle: true
53
- dataset_obs_steps:
54
- value: 2
55
- dataset_type:
56
- value: ph
57
- ema:
58
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