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Functions218 in github.com/Robbyant/lingbot-va

↓ 1 callersFunctionmain
()
evaluation/libero/client.py:184
↓ 1 callersFunctionmain
(usr_args)
evaluation/robotwin/eval_polict_client_openpi.py:299
↓ 1 callersFunctionmat2euler
Return Euler angles from rotation matrix for specified axis sequence. Note that many Euler angle triplets can describe one matrix. Parameter
evaluation/robotwin/geometry.py:49
↓ 1 callersFunctionmerge_qwen_config
(policy_config, qwen_config)
wan_va/utils/Simple_Remote_Infer/deploy/qwenpi_policy.py:282
↓ 1 callersMethodnormalize_latents
( self, latents: torch.Tensor, latents_mean: torch.Tensor, latents_std: torch.
wan_va/wan_va_server.py:211
↓ 1 callersFunctionparse_args_and_config
()
evaluation/robotwin/eval_polict_client_openpi.py:661
↓ 1 callersMethodparse_meta
(self)
wan_va/dataset/lerobot_latent_dataset.py:158
↓ 1 callersFunctionparse_override_pairs
(pairs)
evaluation/robotwin/eval_polict_client_openpi.py:676
↓ 1 callersFunctionpatchify
(x, patch_size)
wan_va/modules/utils.py:55
↓ 1 callersMethodpostprocess_action
(self, action)
wan_va/wan_va_server.py:242
↓ 1 callersMethodprepare_images
Normalize, resize, and pad images and stack them into a tensor. Args: observation (dict[str, Tensor]) Returns:
wan_va/utils/Simple_Remote_Infer/deploy/qwenpi_policy.py:154
↓ 1 callersMethodprepare_images
Normalize, resize, and pad images and stack them into a tensor. Args: observation (dict[str, Tensor]) Returns:
wan_va/utils/Simple_Remote_Infer/deploy/replay_policy.py:154
↓ 1 callersMethodprepare_language
If `prompt` is provided, modify it to PaliGemma format and tokenize it. If `lang_tokens` and `lang_masks` are provided, use them directly.
wan_va/utils/Simple_Remote_Infer/deploy/qwenpi_policy.py:204
↓ 1 callersMethodprepare_language
If `prompt` is provided, modify it to PaliGemma format and tokenize it. If `lang_tokens` and `lang_masks` are provided, use them directly.
wan_va/utils/Simple_Remote_Infer/deploy/replay_policy.py:204
↓ 1 callersMethodprepare_state
(self, observation)
wan_va/utils/Simple_Remote_Infer/deploy/qwenpi_policy.py:197
↓ 1 callersMethodprepare_state
(self, observation)
wan_va/utils/Simple_Remote_Infer/deploy/replay_policy.py:197
↓ 1 callersMethodpreprocess_action
(self, action)
wan_va/wan_va_server.py:224
↓ 1 callersFunctionprint_table
(results)
evaluation/robotwin/calc_stat.py:86
↓ 1 callersFunctionquat2axangle
Convert quaternion to rotation of angle around axis Parameters ---------- quat : 4 element sequence w, x, y, z forming quaternion.
evaluation/robotwin/geometry.py:366
↓ 1 callersFunctionquat2mat
Calculate rotation matrix corresponding to quaternion Parameters ---------- q : 4 element array-like Returns ------- M : (3,
evaluation/robotwin/geometry.py:118
↓ 1 callersFunctionrecursive_find_file
(directory, filename='info.json')
wan_va/dataset/lerobot_latent_dataset.py:18
↓ 1 callersMethodreset
(self)
wan_va/utils/Simple_Remote_Infer/deploy/qwenpi_policy.py:423
↓ 1 callersMethodreset
(self)
evaluation/robotwin/websocket_client_policy.py:72
↓ 1 callersFunctionresize_with_pad
(img, width, height, pad_value=-1)
wan_va/utils/Simple_Remote_Infer/deploy/qwenpi_policy.py:120
↓ 1 callersFunctionresize_with_pad
(img, width, height, pad_value=-1)
wan_va/utils/Simple_Remote_Infer/deploy/replay_policy.py:120
↓ 1 callersMethodrestore_cache
(self, cache_name, slots)
wan_va/modules/model.py:411
↓ 1 callersFunctionrun
Main entry point.
wan_va/train.py:506
↓ 1 callersFunctionrun
(args)
wan_va/wan_va_server.py:677
↓ 1 callersFunctionrun
task_range: [start, end) for splitting tasks
evaluation/libero/client.py:140
↓ 1 callersFunctionrun_async_server_mode
(model, local_rank, host, port)
wan_va/utils/sever_utils.py:67
↓ 1 callersFunctionrun_one
(model, libero_benchmark, task_idx, out_dir, episode_idx)
evaluation/libero/client.py:77
↓ 1 callersMethodsave_checkpoint
Save model checkpoint in the same format as pretrained model.
wan_va/train.py:331
↓ 1 callersFunctionsave_comparison_video
(real_obs_list, imagined_video, action_history, save_path, fps=15)
evaluation/robotwin/eval_polict_client_openpi.py:194
↓ 1 callersFunctionsave_video
(real_obs_list, save_path, fps=15, video_names=["observation.images.agentview_rgb", "observation.images.eye_in
evaluation/libero/client.py:15
↓ 1 callersMethodselect_action
(self, observation: dict[str, Tensor], noise: Tensor | None = None
wan_va/utils/Simple_Remote_Infer/deploy/qwenpi_policy.py:254
↓ 1 callersMethodsetup_scene
Set the scene - Set up the basic scene: light source, viewer.
evaluation/robotwin/test_render.py:56
↓ 1 callersMethodstate_normalizer
(self, unnorm_state)
wan_va/utils/Simple_Remote_Infer/deploy/qwenpi_policy.py:370
↓ 1 callersMethodtraining_target
(self, sample, noise, timestep)
wan_va/utils/scheduler.py:111
↓ 1 callersMethodupdate_cache
(self, cache_name, key, value, is_pred)
wan_va/modules/model.py:396
↓ 1 callersFunctionwarmup_constant_lambda
(current_step, warmup_steps=1000)
wan_va/utils/utils.py:89
↓ 1 callersFunctionworker_loop
TODO
wan_va/utils/sever_utils.py:42
Method__getitem__
(self, idx)
wan_va/dataset/lerobot_latent_dataset.py:102
Method__getitem__
(self, idx)
wan_va/dataset/lerobot_latent_dataset.py:287
Method__init__
(self, config)
wan_va/train.py:51
Method__init__
(self, job_config)
wan_va/wan_va_server.py:43
Method__init__
(self, vae_model)
wan_va/modules/utils.py:69
Method__init__
( self, dim, time_freq_dim, time_proj_dim, text_embed_dim, pos
wan_va/modules/model.py:205
Method__init__
( self, attention_head_dim: int, patch_size, max_seq_len: int, theta:
wan_va/modules/model.py:244
Method__init__
( self, dim, heads=8, dim_head=64, eps=1e-5, dropout=0.0,
wan_va/modules/model.py:291
Method__init__
( self, dim, ffn_dim, num_heads, cross_attn_norm=False, eps=1e
wan_va/modules/model.py:470
Method__init__
r""" TODO
wan_va/modules/model.py:598
Method__init__
( self, num_inference_steps=100, num_train_timesteps=1000, shift=3.0,
wan_va/utils/scheduler.py:7
Method__init__
(self, model, local_rank)
wan_va/utils/sever_utils.py:14
Method__init__
( self, policy, host: str = "0.0.0.0", port: int | None = None, metada
wan_va/utils/Simple_Remote_Infer/deploy/websocket_policy_server.py:21
Method__init__
(self, pred_action_horizon, adaptive_ensemble_alpha=0.0)
wan_va/utils/Simple_Remote_Infer/deploy/qwenpi_policy.py:38
Method__init__
( self, path_to_pi_model="", adaptive_ensemble_alpha=0.1, action_ensemble_hori
wan_va/utils/Simple_Remote_Infer/deploy/qwenpi_policy.py:321
Method__init__
(self, host: str = "0.0.0.0", port: Optional[int] = None, a
wan_va/utils/Simple_Remote_Infer/deploy/websocket_client_policy.py:17
Method__init__
(self, pred_action_horizon, adaptive_ensemble_alpha=0.0)
wan_va/utils/Simple_Remote_Infer/deploy/replay_policy.py:38
Method__init__
( self, path_to_pi_model="", adaptive_ensemble_alpha=0.1, action_ensemble_hori
wan_va/utils/Simple_Remote_Infer/deploy/replay_policy.py:321
Method__init__
( self, config, num_init_worker=128, )
wan_va/dataset/lerobot_latent_dataset.py:71
Method__init__
( self, repo_id, config=None, )
wan_va/dataset/lerobot_latent_dataset.py:109
Method__init__
(self)
evaluation/robotwin/test_render.py:46
Method__init__
(self, host: str = "0.0.0.0", port: Optional[int] = None, api_key: Optional[str] = None)
evaluation/robotwin/websocket_client_policy.py:16
Method__len__
( self, )
wan_va/dataset/lerobot_latent_dataset.py:83
Method__len__
(self)
wan_va/dataset/lerobot_latent_dataset.py:311
Method_handler
(self, websocket: _server.ServerConnection)
wan_va/utils/Simple_Remote_Infer/deploy/websocket_policy_server.py:50
Function_health_check
(connection: _server.ServerConnection, request: _server.Request)
wan_va/utils/Simple_Remote_Infer/deploy/websocket_policy_server.py:91
Method_load_training_state
Load training state (optimizer + step) after FSDP and optimizer creation.
wan_va/train.py:391
Methodaction_unnormalizer
(self, norm_action)
wan_va/utils/Simple_Remote_Infer/deploy/replay_policy.py:371
Methodapply_rotary_emb
(x, freqs)
wan_va/modules/model.py:434
Methodblock_causal_mask
( b: torch.Tensor, h: torch.Tensor, q_idx: torch.Tensor, kv_idx: torch.Tensor )
wan_va/modules/model.py:160
Methodblock_causal_mask_exclude_self
( b: torch.Tensor, h: torch.Tensor, q_idx: torch.Tensor, kv_idx: torch.Tensor )
wan_va/modules/model.py:165
Methodblock_self_mask
( b: torch.Tensor, h: torch.Tensor, q_idx: torch.Tensor, kv_idx: torch.Tensor )
wan_va/modules/model.py:170
Methodblock_window_mask
( b: torch.Tensor, h: torch.Tensor, q_idx: torch.Tensor, kv_idx: torch.Tensor, window_size: int
wan_va/modules/model.py:189
Functioncenter_crop_image
(image: Union[np.ndarray, Image.Image])
wan_va/utils/Simple_Remote_Infer/deploy/qwenpi_policy.py:77
Functioncenter_crop_image
(image: Union[np.ndarray, Image.Image])
wan_va/utils/Simple_Remote_Infer/deploy/replay_policy.py:77
Methodclean2clean_mask
( b: torch.Tensor, h: torch.Tensor, q_idx: torch.Tensor, kv_idx: torch.Tensor )
wan_va/modules/model.py:175
Methodclear_cache
(self, cache_name)
wan_va/modules/model.py:653
Methodclear_pred_cache
(self, cache_name)
wan_va/modules/model.py:657
Functionconstruct_lerobot
( repo_id, config, )
wan_va/dataset/lerobot_latent_dataset.py:31
Functioncustom_sdpa
(q, k, v)
wan_va/modules/model.py:37
Methodensemble_action
(self, cur_action)
wan_va/utils/Simple_Remote_Infer/deploy/replay_policy.py:46
Functioneuler2axangle
Return angle, axis corresponding to Euler angles, axis specification Parameters ---------- ai : float First rotation angle (accor
evaluation/robotwin/geometry.py:261
Functioneuler2mat
Return rotation matrix from Euler angles and axis sequence. Parameters ---------- ai : float First rotation angle (according to `
evaluation/robotwin/geometry.py:188
Functioneval_function_decorator
(policy_name, model_name)
evaluation/robotwin/eval_polict_client_openpi.py:273
Methodforward
( self, query: torch.Tensor, key: torch.Tensor, value: torch.Tensor,
wan_va/modules/model.py:57
Methodforward
( self, timestep: torch.Tensor, dtype=None, )
wan_va/modules/model.py:226
Methodforward
(self, grid_ids)
wan_va/modules/model.py:278
Methodforward
( self, q, k, v, rotary_emb, update_cache=0, cache_nam
wan_va/modules/model.py:414
Methodforward
( self, hidden_states, encoder_hidden_states, temb, rotary_emb,
wan_va/modules/model.py:515
Methodforward
r""" Forward pass through the diffusion model Args: x (List[Tensor]): List of input video tensors, each w
wan_va/modules/model.py:800
Functionfree_model
(model)
wan_va/distributed/fsdp.py:38
Methodget_server_metadata
(self)
wan_va/utils/Simple_Remote_Infer/deploy/websocket_client_policy.py:28
Methodget_server_metadata
(self)
evaluation/robotwin/websocket_client_policy.py:24
Methodhalf
(x)
wan_va/modules/model.py:70
Methodinfer
(self, obs)
wan_va/wan_va_server.py:607
Methodinfer
Generates an action with the VLA policy.
wan_va/utils/Simple_Remote_Infer/deploy/replay_policy.py:410
Methodinit_norm
TODO: show be rewritten as a dict
wan_va/utils/Simple_Remote_Infer/deploy/replay_policy.py:344
Functionisrotation
( R: np.ndarray, thresh=1e-6, )
evaluation/robotwin/geometry.py:177
Functionmerge_qwen_config
(policy_config, qwen_config)
wan_va/utils/Simple_Remote_Infer/deploy/replay_policy.py:282
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