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Functions4,056 in github.com/RoboVerseOrg/RoboVerse

Method__del__
Cleanup for the environment.
roboverse_pack/tasks/beyondmimic/isaaclab/envs/tracking_base_env.py:181
Method__enter__
(self)
generation/asset_converter.py:54
Method__enter__
(self)
generation/asset_converter.py:273
Method__enter__
(self)
roboverse_learn/il/utils/json_logger.py:93
Method__enter__
(self)
roboverse_learn/il/policies/dp/models/bet/utils.py:34
Method__exit__
(self, exc_type, exc_val, exc_tb)
generation/asset_converter.py:57
Method__exit__
Context manager exit, closes simulation app if created.
generation/asset_converter.py:291
Method__exit__
(self, exc_type, exc_val, exc_tb)
roboverse_learn/il/utils/json_logger.py:97
Method__exit__
(self, *args)
roboverse_learn/il/policies/dp/models/bet/utils.py:42
Function__getattr__
(name: str)
roboverse_learn/fusion/__init__.py:33
Method__getattr__
(self, attr)
roboverse_learn/il/policies/act/detr/util/misc.py:171
Method__getattr__
(self, name: str)
roboverse_pack/tasks/simpler_env/_passthrough.py:160
Method__getitem__
(self, key)
roboverse_learn/il/utils/replay_buffer.py:441
Method__getitem__
(self, key: str)
roboverse_learn/il/utils/normalizer.py:53
Method__getitem__
(self, index)
roboverse_learn/il/policies/act/utils.py:42
Method__getitem__
output: obs: T, Do action: T, Da
roboverse_learn/il/datasets/base_dataset.py:22
Method__getitem__
output: obs: key: T, * action: T, Da
roboverse_learn/il/datasets/base_dataset.py:45
Method__getitem__
(self, idx)
roboverse_learn/il/datasets/robot_image_dataset.py:139
Method__getitem__
(self, index)
third_party/gsnet/dataset/graspnet_dataset.py:93
Method__init__
(self, task_name: str)
tools/mjlab_integration/policy_replay/train_metasim_cartpole.py:47
Method__init__
(self, shape, device, eps: float = 1e-4)
tools/mjlab_integration/policy_replay/train_metasim_cartpole.py:94
Method__init__
(self, obs_dim: int, act_dim: int, activation: str = "elu", init_std: float = 1.0)
tools/mjlab_integration/policy_replay/train_metasim_cartpole.py:119
Method__init__
(self, ckpt: str, device: str = "cuda:0")
tools/robotwin_integration/dp_policy_server.py:77
Method__init__
(self, bridge: dict)
tools/robotwin_integration/eval_robotwin_policy.py:75
Method__init__
(self, server: str, camera: str = "head_camera", timeout: float = 120.0)
tools/robotwin_integration/eval_robotwin_policy.py:102
Method__init__
(self, url: str = _ZIP_URL)
tools/libero_integration/gen_liberoplus.py:43
Method__init__
( self, **kwargs, )
generation/asset_converter.py:64
Method__init__
( self, force_usd_conversion: bool = True, make_instanceable: bool = False, si
generation/asset_converter.py:252
Method__init__
( self, fix_base: bool = False, merge_fixed_joints: bool = False, make_instanc
generation/asset_converter.py:377
Method__init__
This function is used to initialize the configuration.
get_started/motion_planning/util_gsnet.py:25
Method__init__
Initialize the wrapper.
get_started/rl/0_ppo_gym_style.py:63
Method__init__
Initialize the environment.
get_started/rl/0_ppo.py:51
Method__init__
A simple replay buffer that stores transitions in a circular buffer. Supports n-step returns and asymmetric observations. Wh
get_started/rl/fast_td3/fttd3_module.py:8
Method__init__
Initialize EmpiricalNormalization module. Args: shape (int or tuple of int): Shape of input values except batch axis.
get_started/rl/fast_td3/fttd3_module.py:294
Method__init__
( self, n_obs: int, n_act: int, num_atoms: int, v_min: float,
get_started/rl/fast_td3/fttd3_module.py:371
Method__init__
( self, n_obs: int, n_act: int, num_atoms: int, v_min: float,
get_started/rl/fast_td3/fttd3_module.py:439
Method__init__
( self, entity_names: list[str], entity_types: list[str], entity_joints: dict[
get_started/obj_layout/object_layout_task.py:109
Method__init__
( self, entity_names: list[str], entity_types: list[str], entity_joints: dict[
get_started/obj_layout/object_layout.py:89
Method__init__
(self, path: str, filter_fn: Optional[Callable[[str, Any], bool]] = None)
roboverse_learn/il/utils/json_logger.py:41
Method__init__
(self, dataset_path, algo_name="bc")
roboverse_learn/il/utils/robomimic_util.py:13
Method__init__
Dummy constructor. Use copy_from* and create_from* class methods instead.
roboverse_learn/il/utils/replay_buffer.py:88
Method__init__
(self, times: np.ndarray, poses: np.ndarray)
roboverse_learn/il/utils/pose_trajectory_interpolator.py:26
Method__init__
(self)
roboverse_learn/il/utils/module_attr_mixin.py:5
Method__init__
@crowsonkb's notes on EMA Warmup: If gamma=1 and power=1, implements a simple average. gamma=1, power=2/3 are good values for mod
roboverse_learn/il/utils/ema_model.py:12
Method__init__
Draw a pymunk.Space on a pygame.Surface object. Typical usage:: >>> import pymunk >>> surface = pygame.Surface((10,10))
roboverse_learn/il/utils/pymunk_override.py:78
Method__init__
key_first_k: dict str: int Only take first k data from these keys (to improve perf)
roboverse_learn/il/utils/sampler.py:92
Method__init__
(self, start_time: float, dt: float, eps: float = 1e-5)
roboverse_learn/il/utils/timestamp_accumulator.py:82
Method__init__
Different from Obs accumulator, the action accumulator allows overwriting previous values.
roboverse_learn/il/utils/timestamp_accumulator.py:152
Method__init__
( self, save_dir, monitor_key: str, mode="min", k=1, format_st
roboverse_learn/il/utils/checkpoint_util.py:6
Method__init__
Valid representations Always use matrix as intermediate representation.
roboverse_learn/il/utils/rotation_transformer.py:12
Method__init__
(self, params_dict=None)
roboverse_learn/il/utils/dict_of_tensor_mixin.py:6
Method__init__
( self, flow_ratio=0.5, time_dist_mu=-0.4, time_dist_sigma=1.0, adapti
roboverse_learn/il/utils/flow/mean_flow_matcher.py:38
Method__init__
(self, num_sampling_steps=6, **kwargs)
roboverse_learn/il/utils/flow/flow_matchers.py:83
Method__init__
(self, num_sampling_steps=6, **kwargs)
roboverse_learn/il/utils/flow/flow_matchers.py:88
Method__init__
(self, num_sampling_steps=6, **kwargs)
roboverse_learn/il/utils/flow/flow_matchers.py:93
Method__init__
(self, num_sampling_steps=6, **kwargs)
roboverse_learn/il/utils/flow/flow_matchers.py:98
Method__init__
(self, num_sampling_steps=1, **kwargs)
roboverse_learn/il/utils/flow/flow_matchers.py:109
Method__init__
(self, num_sampling_steps=1, **kwargs)
roboverse_learn/il/utils/flow/flow_matchers.py:120
Method__init__
(self, num_sampling_steps=1, **kwargs)
roboverse_learn/il/utils/flow/flow_matchers.py:129
Method__init__
( self, eps=1e-2, num_segments=2, boundary=1, delta=1e-3, alph
roboverse_learn/il/utils/flow/consistency_flow_matcher.py:9
Method__init__
Assumes rgb input: B,C,H,W Assumes low_dim input: B,D
roboverse_learn/il/utils/vision/multi_image_obs_encoder.py:13
Method__init__
Args: input_shape (tuple, list): shape of input (not including batch dimension) crop_height (int): crop height
roboverse_learn/il/utils/vision/crop_randomizer.py:12
Method__init__
( self, in_features, hidden_features=None, out_features=None,
roboverse_learn/il/utils/models/layers.py:24
Method__init__
( self, dim, num_heads, mlp_ratio=4., dropout=0., )
roboverse_learn/il/utils/models/flow_net.py:56
Method__init__
( self, input_dim, condition_dim, hidden_dim, output_dim, num_
roboverse_learn/il/utils/models/flow_net.py:113
Method__init__
(self, dim, mlp_ratio=4., dropout=0.0)
roboverse_learn/il/utils/models/flow_net.py:183
Method__init__
( self, input_dim, hidden_dim, output_dim, num_layers, mlp_rat
roboverse_learn/il/utils/models/flow_net.py:223
Method__init__
(self, cfg: OmegaConf, output_dir=None)
roboverse_learn/il/runners/default_runner.py:118
Method__init__
(self, runner, scenario: ScenarioCfg, num_envs: int = 1, **kwargs)
roboverse_learn/il/runners/base_eval_runner.py:23
Method__init__
(self, cfg: OmegaConf, output_dir: Optional[str] = None)
roboverse_learn/il/runners/base_runner.py:16
Method__init__
( self, shape_meta: dict, obs_encoder: MultiImageObsEncoder, horizon,
roboverse_learn/il/policies/vita/vita_policy.py:24
Method__init__
( self, dec_hidden_dim: int, latent_dim: int, pred_horizon: int, actio
roboverse_learn/il/policies/vita/action_ae.py:65
Method__init__
(self, cfg, output_dir=None)
roboverse_learn/il/policies/act/train.py:24
Method__init__
(self, episode_ids, dataset_dir, camera_names, norm_stats)
roboverse_learn/il/policies/act/utils.py:15
Method__init__
(self, args_override)
roboverse_learn/il/policies/act/policy.py:45
Method__init__
(self, inject_noise=False)
roboverse_learn/il/policies/act/scripted_policy.py:13
Method__init__
Initializes the model. Parameters: backbones: torch module of the backbone to be used. See backbone.py transformer: t
roboverse_learn/il/policies/act/detr/models/detr_vae.py:39
Method__init__
(self, encoder_layer, num_layers, norm=None)
roboverse_learn/il/policies/act/detr/models/transformer.py:81
Method__init__
(self, decoder_layer, num_layers, norm=None, return_intermediate=False)
roboverse_learn/il/policies/act/detr/models/transformer.py:105
Method__init__
(self, d_model, nhead, dim_feedforward=2048, dropout=0.1, activation="relu", normalize_before
roboverse_learn/il/policies/act/detr/models/transformer.py:146
Method__init__
(self, d_model, nhead, dim_feedforward=2048, dropout=0.1, activation="relu", normalize_before
roboverse_learn/il/policies/act/detr/models/transformer.py:206
Method__init__
(self, n)
roboverse_learn/il/policies/act/detr/models/backbone.py:31
Method__init__
(self, backbone: nn.Module, train_backbone: bool, num_channels: int, return_interm_layers: bool)
roboverse_learn/il/policies/act/detr/models/backbone.py:63
Method__init__
(self, name: str, train_backbone: bool, return_interm_layers: bool,
roboverse_learn/il/policies/act/detr/models/backbone.py:83
Method__init__
(self, num_pos_feats=256)
roboverse_learn/il/policies/act/detr/models/position_encoding.py:59
Method__init__
(self, window_size=20, fmt=None)
roboverse_learn/il/policies/act/detr/util/misc.py:32
Method__init__
(self, delimiter="\t")
roboverse_learn/il/policies/act/detr/util/misc.py:160
Method__init__
(self, tensors, mask: Optional[Tensor])
roboverse_learn/il/policies/act/detr/util/misc.py:285
Method__init__
( self, shape_meta: dict, obs_encoder: MultiImageObsEncoder, horizon,
roboverse_learn/il/policies/fm/fm_unet_image_policy.py:16
Method__init__
( self, shape_meta: dict, obs_encoder: MultiImageObsEncoder, horizon,
roboverse_learn/il/policies/fm/fm_dit_image_policy.py:16
Method__init__
( self, shape_meta: dict, noise_scheduler: DDPMScheduler, obs_encoder: MultiIm
roboverse_learn/il/policies/dp/score_unet_image_policy.py:19
Method__init__
( self, shape_meta: dict, noise_scheduler: DDIMScheduler, obs_encoder: MultiIm
roboverse_learn/il/policies/dp/ddim_unet_image_policy.py:39
Method__init__
( self, shape_meta: Mapping[str, Any], noise_scheduler: DDPMScheduler, obs_enc
roboverse_learn/il/policies/dp/ddpm_dit_image_policy.py:15
Method__init__
( self, shape_meta: Mapping[str, Any], noise_scheduler: DDPMScheduler, obs_enc
roboverse_learn/il/policies/dp/ddpm_image_policy.py:19
Method__init__
( self, shape_meta: Mapping[str, Any], noise_scheduler: DDPMScheduler, obs_enc
roboverse_learn/il/policies/dp/ddpm_unet_image_policy.py:15
Method__init__
( self, input_dim: int, output_dim: int, horizon: int, n_obs_steps: in
roboverse_learn/il/policies/dp/models/diffusion/transformer_for_diffusion.py:13
Method__init__
(self, dim)
roboverse_learn/il/policies/dp/models/diffusion/positional_embedding.py:8
Method__init__
( self, in_channels, out_channels, cond_dim, kernel_size=3, n_
roboverse_learn/il/policies/dp/models/diffusion/conditional_unet1d.py:19
Method__init__
( self, action_dim, obs_dim, # obs mask setup max_n_obs_steps=2,
roboverse_learn/il/policies/dp/models/diffusion/mask_generator.py:37
Method__init__
( self, # dimensions action_dim, keypoint_dim, # obs mask setup
roboverse_learn/il/policies/dp/models/diffusion/mask_generator.py:105
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