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Functions586 in github.com/MrZihan/HNR-VLN

⨍ Functions 586◇ Types & classes 132
↓ 1 callersFunctionrun_exp
r"""Runs experiment given mode and config Args: exp_config: path to config file. run_type: "train" or "eval. opts: list o
run_nerf.py:52
↓ 1 callersFunctions3_etag
Check ETag on S3 object.
NeRF/waypoint_pred/transformer/pytorch_transformer/file_utils.py:156
↓ 1 callersFunctions3_get
Pull a file directly from S3.
NeRF/waypoint_pred/transformer/pytorch_transformer/file_utils.py:165
↓ 1 callersMethodsave_checkpoint
(self, iteration: int)
NeRF/ss_trainer_ETP.py:93
↓ 1 callersMethodsave_checkpoint
(self, epoch: int, step_id: int)
NeRF/dagger_trainer.py:201
↓ 1 callersMethodtie_weights
Make sure we are sharing the input and output embeddings. Export to TorchScript can't handle parameter sharing so we are cloning them ins
NeRF/waypoint_pred/transformer/pytorch_transformer/modeling_bert.py:775
↓ 1 callersMethodto_dict
Serializes this instance to a Python dictionary.
NeRF/waypoint_pred/transformer/pytorch_transformer/modeling_utils.py:204
↓ 1 callersMethodto_json_file
Save this instance to a json file.
NeRF/waypoint_pred/transformer/pytorch_transformer/modeling_utils.py:213
↓ 1 callersMethodtrain
Main method for training DAgger.
NeRF/dagger_trainer.py:535
↓ 1 callersMethodupdate_graph
(self, prev_vp, step_id, cur_vp, cur_pos, cur_embeds, ca
NeRF/models/graph_utils.py:193
↓ 1 callersMethodupdate_map
(self, agent_position)
habitat_extensions/measures.py:528
↓ 1 callersMethodupdate_metric
(self, episode, *args: Any, **kwargs: Any)
habitat_extensions/measures.py:47
↓ 1 callersMethodupdate_metric
(self, episode, *args: Any, **kwargs: Any)
habitat_extensions/measures.py:86
↓ 1 callersMethodupdate_metric
(self, episode, task: EmbodiedTask, **kwargs: Any)
habitat_extensions/measures.py:169
↓ 1 callersMethodupdate_metric
( self, episode, task: EmbodiedTask, *args: Any, **kwargs: Any )
habitat_extensions/measures.py:205
↓ 1 callersMethodupdate_metric
(self, *args: Any, **kwargs: Any)
habitat_extensions/measures.py:317
↓ 1 callersMethodupdate_metric
( self, episode, task: EmbodiedTask, *args: Any, **kwargs: Any )
habitat_extensions/measures.py:366
↓ 1 callersMethodupdate_metric
(self, *args: Any, **kwargs: Any)
habitat_extensions/measures.py:493
↓ 1 callersFunctionurl_to_filename
Convert `url` into a hashed filename in a repeatable way. If `etag` is specified, append its hash to the url's, delimited by a period.
NeRF/waypoint_pred/transformer/pytorch_transformer/file_utils.py:49
↓ 1 callersMethodvp_input_embedding
(self, split_traj_embeds, split_traj_vp_lens, vp_pos_fts)
NeRF/models/etp/vilmodel_cmt.py:543
FunctionRGB_to_BGR
(cvimg)
NeRF/models/etp/nerf.py:216
MethodRGB_to_BGR
(self,cvimg)
NeRF/models/Policy_ViewSelection_ETP.py:510
Method__eq__
(self, other)
NeRF/waypoint_pred/transformer/pytorch_transformer/modeling_utils.py:198
Method__init__
(self)
NeRF/utils.py:8
Method__init__
(self, config=None)
NeRF/ss_trainer_ETP.py:72
Method__init__
( self, lmdb_features_dir, lmdb_map_size=1e9, batch_size=1, # for dist
NeRF/dagger_trainer.py:99
Method__init__
(self, hidden_dim=768, n_classes=12, device=None)
NeRF/waypoint_pred/TRM_net.py:10
Method__init__
(self, config)
NeRF/waypoint_pred/transformer/waypoint_bert.py:21
Method__init__
(self, config)
NeRF/waypoint_pred/transformer/waypoint_bert.py:45
Method__init__
(self, config)
NeRF/waypoint_pred/transformer/waypoint_bert.py:97
Method__init__
(self, config)
NeRF/waypoint_pred/transformer/waypoint_bert.py:120
Method__init__
(self, config)
NeRF/waypoint_pred/transformer/waypoint_bert.py:145
Method__init__
(self, config=None)
NeRF/waypoint_pred/transformer/waypoint_bert.py:204
Method__init__
(self, *args, **kwargs)
NeRF/waypoint_pred/transformer/pytorch_transformer/modeling_utils.py:49
Method__init__
(self, **kwargs)
NeRF/waypoint_pred/transformer/pytorch_transformer/modeling_utils.py:76
Method__init__
(self, config, *inputs, **kwargs)
NeRF/waypoint_pred/transformer/pytorch_transformer/modeling_utils.py:229
Method__init__
(self, config)
NeRF/waypoint_pred/transformer/pytorch_transformer/modeling_utils.py:552
Method__init__
(self, config)
NeRF/waypoint_pred/transformer/pytorch_transformer/modeling_utils.py:573
Method__init__
(self, config)
NeRF/waypoint_pred/transformer/pytorch_transformer/modeling_utils.py:613
Method__init__
(self, config)
NeRF/waypoint_pred/transformer/pytorch_transformer/modeling_utils.py:695
Method__init__
(self, config)
NeRF/waypoint_pred/transformer/pytorch_transformer/modeling_utils.py:779
Method__init__
(self, vocab_size_or_config_json_file=30522, hidden_size=768,
NeRF/waypoint_pred/transformer/pytorch_transformer/modeling_bert.py:183
Method__init__
Construct a layernorm module in the TF style (epsilon inside the square root).
NeRF/waypoint_pred/transformer/pytorch_transformer/modeling_bert.py:228
Method__init__
(self, config)
NeRF/waypoint_pred/transformer/pytorch_transformer/modeling_bert.py:245
Method__init__
(self, config)
NeRF/waypoint_pred/transformer/pytorch_transformer/modeling_bert.py:275
Method__init__
(self, config)
NeRF/waypoint_pred/transformer/pytorch_transformer/modeling_bert.py:335
Method__init__
(self, config)
NeRF/waypoint_pred/transformer/pytorch_transformer/modeling_bert.py:349
Method__init__
(self, config)
NeRF/waypoint_pred/transformer/pytorch_transformer/modeling_bert.py:379
Method__init__
(self, config)
NeRF/waypoint_pred/transformer/pytorch_transformer/modeling_bert.py:394
Method__init__
(self, config)
NeRF/waypoint_pred/transformer/pytorch_transformer/modeling_bert.py:424
Method__init__
(self, config)
NeRF/waypoint_pred/transformer/pytorch_transformer/modeling_bert.py:456
Method__init__
(self, config)
NeRF/waypoint_pred/transformer/pytorch_transformer/modeling_bert.py:471
Method__init__
(self, config)
NeRF/waypoint_pred/transformer/pytorch_transformer/modeling_bert.py:488
Method__init__
(self, config)
NeRF/waypoint_pred/transformer/pytorch_transformer/modeling_bert.py:507
Method__init__
(self, config)
NeRF/waypoint_pred/transformer/pytorch_transformer/modeling_bert.py:517
Method__init__
(self, config)
NeRF/waypoint_pred/transformer/pytorch_transformer/modeling_bert.py:527
Method__init__
(self, *inputs, **kwargs)
NeRF/waypoint_pred/transformer/pytorch_transformer/modeling_bert.py:547
Method__init__
(self, config)
NeRF/waypoint_pred/transformer/pytorch_transformer/modeling_bert.py:654
Method__init__
(self, config)
NeRF/waypoint_pred/transformer/pytorch_transformer/modeling_bert.py:766
Method__init__
(self, config)
NeRF/waypoint_pred/transformer/pytorch_transformer/modeling_bert.py:836
Method__init__
(self, config)
NeRF/waypoint_pred/transformer/pytorch_transformer/modeling_bert.py:903
Method__init__
(self, config)
NeRF/waypoint_pred/transformer/pytorch_transformer/modeling_bert.py:964
Method__init__
(self, config)
NeRF/waypoint_pred/transformer/pytorch_transformer/modeling_bert.py:1071
Method__init__
(self, config)
NeRF/waypoint_pred/transformer/pytorch_transformer/modeling_bert.py:1140
Method__init__
(self, config)
NeRF/waypoint_pred/transformer/pytorch_transformer/modeling_bert.py:1217
Method__init__
(self, config=None)
NeRF/common/base_il_trainer.py:65
Method__init__
(self, config: Config)
NeRF/common/recollection_dataset.py:23
Method__init__
(self, config: Config, dataset: Optional[Dataset] = None)
NeRF/common/environments.py:531
Method__init__
(self, encoder_layer, num_layers, norm=None, batch_first=True)
NeRF/common/transformer.py:64
Method__init__
(self, decoder_layer, num_layers, norm=None, return_intermediate=False)
NeRF/common/transformer.py:94
Method__init__
(self, d_model, nhead, dim_feedforward=2048, dropout=0.1, activation="relu", normalize_before
NeRF/common/transformer.py:135
Method__init__
(self, d_model, nhead, dim_feedforward=2048, dropout=0.1, activation="relu", normalize_before
NeRF/common/transformer.py:195
Method__init__
(self, mm_fusion, decoder_layer, num_layers, norm=None, return_intermediate=False, batch_first=True)
NeRF/common/transformer.py:280
Method__init__
( self, d_model, nhead, dim_feedforward=2048, dropout=0.1, activation="relu", normalize_before
NeRF/common/transformer.py:338
Method__init__
( self, d_model, nhead, dim_feedforward=2048, dropout=0.1, activation="relu", normalize_before
NeRF/common/transformer.py:398
Method__init__
(self)
NeRF/common/aux_losses.py:5
Method__init__
( self, observation_space: Space, action_space: Space, model_config: Confi
NeRF/models/Policy_ViewSelection_ETP.py:48
Method__init__
(self, drop_ratio)
NeRF/models/Policy_ViewSelection_ETP.py:78
Method__init__
Construct a layernorm module in the TF style (epsilon inside the square root).
NeRF/models/Policy_ViewSelection_ETP.py:680
Method__init__
r"""Defines an imitation learning policy as having functions act() and build_distribution().
NeRF/models/policy.py:13
Method__init__
(self)
NeRF/models/graph_utils.py:75
Method__init__
(self, has_real_pos, loc_noise, merge_ghost, ghost_aug)
NeRF/models/graph_utils.py:139
Method__init__
NeRF/models/etp/nerf.py:20
Method__init__
(self, config)
NeRF/models/etp/vilmodel_cmt.py:52
Method__init__
(self, config)
NeRF/models/etp/vilmodel_cmt.py:81
Method__init__
(self, config)
NeRF/models/etp/vilmodel_cmt.py:146
Method__init__
(self, config)
NeRF/models/etp/vilmodel_cmt.py:159
Method__init__
(self, config)
NeRF/models/etp/vilmodel_cmt.py:171
Method__init__
(self, config)
NeRF/models/etp/vilmodel_cmt.py:185
Method__init__
(self, config)
NeRF/models/etp/vilmodel_cmt.py:213
Method__init__
(self, config)
NeRF/models/etp/vilmodel_cmt.py:247
Method__init__
(self, config)
NeRF/models/etp/vilmodel_cmt.py:261
Method__init__
(self, config)
NeRF/models/etp/vilmodel_cmt.py:277
Method__init__
(self, config)
NeRF/models/etp/vilmodel_cmt.py:295
Method__init__
(self, config, ctx_dim=None)
NeRF/models/etp/vilmodel_cmt.py:304
Method__init__
(self, config, ctx_dim=None)
NeRF/models/etp/vilmodel_cmt.py:357
Method__init__
(self, config)
NeRF/models/etp/vilmodel_cmt.py:368
Method__init__
(self, config)
NeRF/models/etp/vilmodel_cmt.py:416
Method__init__
(self, config)
NeRF/models/etp/vilmodel_cmt.py:438
Method__init__
(self, config)
NeRF/models/etp/vilmodel_cmt.py:457
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