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Functions73 in github.com/aks2203/deep-thinking

⨍ Functions 73◇ Types & classes 11
↓ 3 callersFunctionget_predicted
(inputs, outputs, problem)
deepthinking/utils/testing.py:37
↓ 2 callersMethod__init__
(self, optimizer, warmup_params, last_step=-1, warmup_period=0)
deepthinking/utils/warmup.py:27
↓ 2 callersMethoddampen
Dampen the learning rates. Arguments: step (int): The index of current step. (Default: None)
deepthinking/utils/warmup.py:55
↓ 2 callersFunctionget_little_df_from_one_run
(data_dict)
deepthinking/data_analysis/make_table.py:20
↓ 2 callersFunctionget_table
(filepath, disp_max, disp_min, filter_at=None, max_iters_list=None, alpha_list=None, width_list=
deepthinking/data_analysis/make_table.py:56
↓ 2 callersFunctionget_warmup_params
(warmup_period, group_count)
deepthinking/utils/warmup.py:77
↓ 2 callersMethodload_state_dict
Loads the warmup scheduler's state. Arguments: state_dict (dict): warmup scheduler state. Should be an object returned
deepthinking/utils/warmup.py:46
↓ 2 callersMethodstate_dict
Returns the state of the warmup scheduler as a :class:`dict`. It contains an entry for every variable in self.__dict__ which is not t
deepthinking/utils/warmup.py:38
↓ 1 callersMethod__init__
(self, in_planes, planes, stride=1, group_norm=False)
deepthinking/models/blocks.py:24
↓ 1 callersMethod_make_layer
(self, block, planes, num_blocks, stride)
deepthinking/models/feedforward_net_2d.py:56
↓ 1 callersMethod_make_layer
(self, block, planes, num_blocks, stride)
deepthinking/models/dt_net_1d.py:60
↓ 1 callersMethod_make_layer
(self, block, planes, num_blocks, stride)
deepthinking/models/dt_net_2d.py:58
↓ 1 callersMethod_make_layer
(self, block, planes, num_blocks, stride)
deepthinking/models/feedforward_net_1d.py:56
↓ 1 callersFunctionfeedforward_net_recall_1d
(width, **kwargs)
deepthinking/models/feedforward_net_1d.py:91
↓ 1 callersFunctionfeedforward_net_recall_2d
(width, **kwargs)
deepthinking/models/feedforward_net_2d.py:92
↓ 1 callersFunctionget_df
(filepath, acc_filter)
deepthinking/data_analysis/make_table.py:38
↓ 1 callersFunctionget_model
(model, width, max_iters, in_channels=3)
deepthinking/utils/tools.py:60
↓ 1 callersFunctionget_output_for_prog_loss
(inputs, max_iters, net)
deepthinking/utils/training.py:42
↓ 1 callersFunctionget_schoopy_plot
(table, error_bars=True)
deepthinking/data_analysis/make_schoop.py:22
↓ 1 callersFunctionget_trained_checkpoints
(filepath, model_list, alpha_list)
deepthinking/data_analysis/get_names_and_info.py:10
↓ 1 callersFunctionget_trained_checkpoints
(filepath, acc_filter, model_list, alpha_list)
deepthinking/data_analysis/parse_training_runs.py:10
↓ 1 callersFunctionmain
(cfg: DictConfig)
test_model.py:33
↓ 1 callersFunctionmain
(cfg: DictConfig)
train_model.py:37
↓ 1 callersFunctionmain
()
deepthinking/data_analysis/get_names_and_info.py:25
↓ 1 callersFunctionmain
()
deepthinking/data_analysis/make_schoop.py:59
↓ 1 callersFunctionmain
()
deepthinking/data_analysis/parse_training_runs.py:34
↓ 1 callersFunctionmain
()
deepthinking/data_analysis/make_table.py:104
↓ 1 callersFunctionprepare_chess_loader
(train_batch_size, test_batch_size, train_data, test_data, shuffle=True)
deepthinking/utils/chess_data.py:43
↓ 1 callersFunctionprepare_maze_loader
(train_batch_size, test_batch_size, train_data, test_data, shuffle=True)
deepthinking/utils/mazes_data.py:24
↓ 1 callersFunctionprepare_prefix_loader
(train_batch_size, test_batch_size, train_data, test_data, train_split=0.8, shuffle=
deepthinking/utils/prefix_sums_data.py:24
↓ 1 callersFunctiontest_default
(net, testloader, iters, problem, device)
deepthinking/utils/testing.py:55
↓ 1 callersFunctiontest_max_conf
(net, testloader, iters, problem, device)
deepthinking/utils/testing.py:82
↓ 1 callersFunctiontrain_progressive
(net, loaders, train_setup, device)
deepthinking/utils/training.py:67
↓ 1 callersMethodwarmup_factor
Place holder for objects that inherit BaseWarmup.
deepthinking/utils/warmup.py:72
Method__init__
(self, root: str, train: bool = True, idx_start: int = None,
deepthinking/utils/chess_data.py:29
Method__init__
(self, optimizer, warmup_period, last_step=-1)
deepthinking/utils/warmup.py:106
Method__init__
(self, optimizer, warmup_period, last_step=-1)
deepthinking/utils/warmup.py:124
Method__init__
(self, block, num_blocks, width, in_channels=3, recall=True, max_iters=8, group_norm=False)
deepthinking/models/feedforward_net_2d.py:26
Method__init__
(self, block, num_blocks, width, recall, group_norm=False, **kwargs)
deepthinking/models/dt_net_1d.py:26
Method__init__
(self, in_planes, planes, stride=1, group_norm=False)
deepthinking/models/blocks.py:51
Method__init__
(self, block, num_blocks, width, in_channels=3, recall=True, group_norm=False, **kwargs)
deepthinking/models/dt_net_2d.py:26
Method__init__
(self, block, num_blocks, width, recall, max_iters=8, group_norm=False)
deepthinking/models/feedforward_net_1d.py:26
Functiondt_net_1d
(width, **kwargs)
deepthinking/models/dt_net_1d.py:90
Functiondt_net_2d
(width, **kwargs)
deepthinking/models/dt_net_2d.py:87
Functiondt_net_gn_1d
(width, **kwargs)
deepthinking/models/dt_net_1d.py:98
Functiondt_net_gn_2d
(width, **kwargs)
deepthinking/models/dt_net_2d.py:95
Functiondt_net_recall_1d
(width, **kwargs)
deepthinking/models/dt_net_1d.py:94
Functiondt_net_recall_2d
(width, **kwargs)
deepthinking/models/dt_net_2d.py:91
Functiondt_net_recall_gn_1d
(width, **kwargs)
deepthinking/models/dt_net_1d.py:102
Functiondt_net_recall_gn_2d
(width, **kwargs)
deepthinking/models/dt_net_2d.py:99
Functionfeedforward_net_1d
(width, **kwargs)
deepthinking/models/feedforward_net_1d.py:87
Functionfeedforward_net_2d
(width, **kwargs)
deepthinking/models/feedforward_net_2d.py:87
Functionfeedforward_net_gn_1d
(width, **kwargs)
deepthinking/models/feedforward_net_1d.py:95
Functionfeedforward_net_gn_2d
(width, **kwargs)
deepthinking/models/feedforward_net_2d.py:97
Functionfeedforward_net_recall_gn_1d
(width, **kwargs)
deepthinking/models/feedforward_net_1d.py:99
Functionfeedforward_net_recall_gn_2d
(width, **kwargs)
deepthinking/models/feedforward_net_2d.py:102
Methodforward
(self, x, iters_to_do, interim_thought=None, iters_elapsed=0, **kwargs)
deepthinking/models/feedforward_net_2d.py:64
Methodforward
(self, x, iters_to_do, interim_thought=None, **kwargs)
deepthinking/models/dt_net_1d.py:68
Methodforward
(self, x)
deepthinking/models/blocks.py:38
Methodforward
(self, x)
deepthinking/models/blocks.py:65
Methodforward
(self, x, iters_to_do, interim_thought=None, **kwargs)
deepthinking/models/dt_net_2d.py:66
Methodforward
(self, x, iters_to_do, interim_thought=None, iters_elapsed=0, **kwargs)
deepthinking/models/feedforward_net_1d.py:64
Functiongenerate_run_id
()
deepthinking/utils/tools.py:35
Functionget_dataloaders
(problem_args)
deepthinking/utils/tools.py:40
Functionget_dirs_for_saving
(args)
deepthinking/utils/logging_utils.py:20
Functionget_optimizer
(optim_args, model_args, net, state_dict)
deepthinking/utils/tools.py:66
Functionload_model_from_checkpoint
(problem, model_args, device)
deepthinking/utils/tools.py:116
Functionnow
()
deepthinking/utils/tools.py:142
Functiontest
(net, loaders, mode, iters, problem, device)
deepthinking/utils/testing.py:24
Functiontrain
(net, loaders, mode, train_setup, device)
deepthinking/utils/training.py:59
Methodwarmup_factor
(self, step, warmup_period)
deepthinking/utils/warmup.py:111
Methodwarmup_factor
(self, step, warmup_period)
deepthinking/utils/warmup.py:129
Functionwrite_to_tb
(stats, stat_names, epoch, writer)
deepthinking/utils/logging_utils.py:42