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Functions973 in github.com/YtongXie/UniMiSS-code

⨍ Functions 973◇ Types & classes 173
↓ 179 callersFunctionprint
(*args, **kwargs)
UniMiSS/Downstream/BCV/MiTnnu/network_architecture /utils.py:402
↓ 151 callersFunctionprint
(*args, **kwargs)
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/network_architecture/utils.py:402
↓ 75 callersFunctionprint
(*args, **kwargs)
UniMiSSPlus/Downstream/2D/Cls/net/utils.py:409
↓ 48 callersMethodprint_to_log_file
(self, *args, also_print_to_console=True, add_timestamp=True)
UniMiSS/Downstream/BCV/MiTnnu/training/network_training /network_trainer.py:224
↓ 48 callersMethodprint_to_log_file
(self, *args, also_print_to_console=True, add_timestamp=True)
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/training/network_training/network_trainer.py:224
↓ 45 callersFunctionprint
(*args, **kwargs)
UniMiSSPlus/Downstream/2D/Seg/net/utils.py:409
↓ 42 callersFunctionprint
(*args, **kwargs)
UniMiSSPlus/utils.py:520
↓ 32 callersFunctiontrunc_normal_
(tensor, mean=0., std=1., a=-2., b=2.)
UniMiSS/Downstream/RICORD/nets/utils.py:43
↓ 32 callersFunctiontrunc_normal_
(tensor, mean=0., std=1., a=-2., b=2.)
UniMiSSPlus/utils.py:609
↓ 29 callersFunctionprint
(*args, **kwargs)
UniMiSS/utils.py:402
↓ 22 callersMethodget_device
(self)
UniMiSS/Downstream/BCV/MiTnnu/network_architecture /neural_network.py:32
↓ 22 callersMethodget_device
(self)
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/network_architecture/neural_network.py:32
↓ 14 callersMethodupdate
(self, **kwargs)
UniMiSSPlus/utils.py:267
↓ 12 callersMethod__init__
(self, in_features, hidden_features=None, out_features=None, act_layer=nn.GELU, drop=0.)
UniMiSSPlus/MiTplus.py:90
↓ 11 callersMethodupdate
(self, **kwargs)
UniMiSS/utils.py:205
↓ 10 callersMethod_compute_steps_for_sliding_window
(patch_size: Tuple[int, ...], image_size: Tuple[int, ...], step_size: float)
UniMiSS/Downstream/BCV/MiTnnu/network_architecture /neural_network.py:266
↓ 10 callersMethod_compute_steps_for_sliding_window
(patch_size: Tuple[int, ...], image_size: Tuple[int, ...], step_size: float)
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/network_architecture/neural_network.py:266
↓ 9 callersMethod__init__
(self, in_features, hidden_features=None, out_features=None, act_layer=nn.GELU, drop=0.)
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/network_architecture/MiTPlus.py:80
↓ 9 callersFunctiontrunc_normal_
(tensor, mean=0., std=1., a=-2., b=2.)
UniMiSS/Downstream/BCV/MiTnnu/network_architecture /utils.py:480
↓ 9 callersFunctiontrunc_normal_
(tensor, mean=0., std=1., a=-2., b=2.)
UniMiSSPlus/Downstream/2D/Seg/net/utils.py:498
↓ 9 callersFunctiontrunc_normal_
(tensor, mean=0., std=1., a=-2., b=2.)
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/network_architecture/utils.py:480
↓ 8 callersMethod__init__
(self, in_features, hidden_features=None, out_features=None, act_layer=nn.GELU, drop=0.)
UniMiSS/Downstream/BCV/MiTnnu/network_architecture /MiT_encoder.py:126
↓ 8 callersMethod__init__
(self, in_features, hidden_features=None, out_features=None, act_layer=nn.GELU, drop=0.)
UniMiSS/Downstream/BCV/MiTnnu/network_architecture /MiT.py:96
↓ 8 callersMethodstep
(self)
UniMiSS/Downstream/BCV/MiTnnu/network_architecture /utils.py:497
↓ 8 callersMethodstep
(self)
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/network_architecture/utils.py:497
↓ 7 callersMethod__init__
(self, in_features, hidden_features=None, out_features=None, act_layer=nn.GELU, drop=0.)
UniMiSS/models/MiT.py:35
↓ 6 callersMethod__init__
(self, in_features, hidden_features=None, out_features=None, act_layer=nn.GELU, drop=0.)
UniMiSS/Downstream/RICORD/nets/utils.py:135
↓ 6 callersMethod__init__
(self, in_features, hidden_features=None, out_features=None, act_layer=nn.GELU, drop=0.)
UniMiSS/models/MiT_encoder.py:35
↓ 6 callersMethod__init__
(self, in_features, hidden_features=None, out_features=None, act_layer=nn.GELU, drop=0.)
UniMiSSPlus/Downstream/2D/Cls/net/MiTPlus_encoder.py:73
↓ 6 callersMethod__init__
(self, in_features, hidden_features=None, out_features=None, act_layer=nn.GELU, drop=0.)
UniMiSSPlus/Downstream/2D/Seg/net/MiTPlus.py:75
↓ 6 callersMethod__init__
(self, in_features, hidden_features=None, out_features=None, act_layer=nn.GELU, drop=0.)
UniMiSSPlus/Downstream/2D/Seg/net/MiTPlus_encoder.py:71
↓ 6 callersMethod__init__
(self, in_features, hidden_features=None, out_features=None, act_layer=nn.GELU, drop=0.)
UniMiSSPlus/Downstream/3D/RICORD/nets/MiTPlus.py:65
↓ 6 callersMethod__init__
(self, in_features, hidden_features=None, out_features=None, act_layer=nn.GELU, drop=0.)
UniMiSSPlus/Downstream/3D/RICORD/nets/utils.py:137
↓ 6 callersMethodload_dataset
(self)
UniMiSS/Downstream/BCV/MiTnnu/training/network_training /nnUNetTrainer.py:393
↓ 6 callersMethodload_dataset
(self)
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/training/network_training/nnUNetTrainer.py:393
↓ 6 callersFunctiontrunc_normal_
(tensor, mean=0., std=1., a=-2., b=2.)
UniMiSSPlus/Downstream/2D/Cls/net/utils.py:498
↓ 6 callersMethodupdate
(self, value, n=1)
UniMiSSPlus/utils.py:186
↓ 5 callersMethodget_global
(self, name, host_obj)
UniMiSSPlus/pycuda_drr/pydrr/KernelModule.py:43
↓ 5 callersMethodrun_iteration
(self, data_generator, do_backprop=True, run_online_evaluation=False)
UniMiSS/Downstream/BCV/MiTnnu/training/network_training /network_trainer.py:617
↓ 5 callersMethodrun_iteration
(self, data_generator, do_backprop=True, run_online_evaluation=False)
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/training/network_training/network_trainer.py:617
↓ 5 callersMethodupdate
(self, **kwargs)
UniMiSS/Downstream/BCV/MiTnnu/network_architecture /utils.py:205
↓ 4 callersFunctionNorm_layer
(norm_cfg, inplanes)
UniMiSS/Downstream/BCV/MiTnnu/network_architecture /MiT_encoder.py:29
↓ 4 callersMethod_maybe_init_amp
(self)
UniMiSS/Downstream/BCV/MiTnnu/training/network_training /network_trainer.py:395
↓ 4 callersMethod_maybe_init_amp
(self)
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/training/network_training/network_trainer.py:395
↓ 4 callersFunctionconv3x3x3
3x3x3 convolution with padding
UniMiSS/Downstream/BCV/MiTnnu/network_architecture /MiT_encoder.py:21
↓ 4 callersMethodinterpolate_pos_encoding2D
(self, pos_embed, x, w, h)
UniMiSS/models/MiT_encoder.py:381
↓ 4 callersMethodinterpolate_pos_encoding2D
(self, pos_embed, x, w, h)
UniMiSSPlus/MiTplus.py:505
↓ 4 callersMethodinterpolate_pos_encoding2D
(self, pos_embed, x, w, h)
UniMiSSPlus/Downstream/2D/Cls/net/MiTPlus_encoder.py:288
↓ 4 callersMethodinterpolate_pos_encoding2D
(self, pos_embed, x, w, h)
UniMiSSPlus/Downstream/2D/Seg/net/MiTPlus_encoder.py:274
↓ 4 callersMethodinterpolate_pos_encoding3D
(self, pos_embed, x, d, w, h)
UniMiSS/Downstream/RICORD/nets/MiT.py:111
↓ 4 callersMethodinterpolate_pos_encoding3D
(self, pos_embed, x, d, w, h)
UniMiSS/models/MiT_encoder.py:402
↓ 4 callersMethodinterpolate_pos_encoding3D
(self, pos_embed, x, d, w, h)
UniMiSSPlus/MiTplus.py:528
↓ 4 callersMethodinterpolate_pos_encoding3D
(self, pos_embed, x, d, w, h, patch_embed)
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/network_architecture/MiTPlus.py:319
↓ 4 callersMethodinterpolate_pos_encoding3D
(self, pos_embed, x, d, w, h)
UniMiSSPlus/Downstream/3D/RICORD/nets/MiTPlus.py:294
↓ 4 callersMethodload_checkpoint
(self, fname, train=True)
UniMiSS/Downstream/BCV/MiTnnu/training/network_training /network_trainer.py:309
↓ 4 callersMethodload_checkpoint
(self, fname, train=True)
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/training/network_training/network_trainer.py:309
↓ 4 callersMethodload_plans_file
This is what actually configures the entire experiment. The plans file is generated by experiment planning :return:
UniMiSS/Downstream/BCV/MiTnnu/training/network_training /nnUNetTrainer.py:318
↓ 4 callersMethodload_plans_file
This is what actually configures the entire experiment. The plans file is generated by experiment planning :return:
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/training/network_training/nnUNetTrainer.py:318
↓ 4 callersMethodmake_detector_size
(image_size, n_channels)
UniMiSSPlus/pycuda_drr/pydrr/Detector.py:52
↓ 4 callersFunctionrecursive_find_python_class
(folder, trainer_name, current_module)
UniMiSS/Downstream/BCV/MiTnnu/training/model_restore.py:9
↓ 4 callersFunctionrecursive_find_python_class
(folder, trainer_name, current_module)
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/training/model_restore.py:9
↓ 4 callersMethodsave_checkpoint
(self, fname, save_optimizer=True)
UniMiSS/Downstream/BCV/MiTnnu/training/network_training /network_trainer.py:258
↓ 4 callersMethodsave_checkpoint
(self, fname, save_optimizer=True)
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/training/network_training/network_trainer.py:258
↓ 4 callersMethodset_device
(self, device)
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/network_architecture/neural_network.py:38
↓ 4 callersFunctionset_seed
(seed)
UniMiSSPlus/Downstream/2D/Seg/dataset/my_datasets.py:10
↓ 4 callersMethodstep
(self)
UniMiSS/utils.py:497
↓ 4 callersMethodstep
(self)
UniMiSSPlus/utils.py:626
↓ 4 callersMethodupdate
(self, value, n=1)
UniMiSS/utils.py:124
↓ 4 callersMethodupdate
(self, value, n=1)
UniMiSS/Downstream/BCV/MiTnnu/network_architecture /utils.py:124
↓ 4 callersMethodupdate
(self, **kwargs)
UniMiSSPlus/Downstream/2D/Cls/net/utils.py:268
↓ 4 callersMethodupdate
(self, value, n=1)
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/network_architecture/utils.py:124
↓ 4 callersMethodupdate
(self, **kwargs)
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/network_architecture/utils.py:205
↓ 3 callersMethod__init__
(self, in_channels, out_channels, kernel_size, stride=(1,1,1), padding=(0,0,0), dilation=(1,1,1), groups=1, bi
UniMiSS/models/Pacth_embeds.py:8
↓ 3 callersMethod_internal_predict_2D_2Dconv
This one does fully convolutional inference. No sliding window
UniMiSS/Downstream/BCV/MiTnnu/network_architecture /neural_network.py:427
↓ 3 callersMethod_internal_predict_2D_2Dconv
This one does fully convolutional inference. No sliding window
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/network_architecture/neural_network.py:427
↓ 3 callersFunction_run
(command)
UniMiSS/utils.py:349
↓ 3 callersFunction_run
(command)
UniMiSS/Downstream/BCV/MiTnnu/network_architecture /utils.py:349
↓ 3 callersFunction_run
(command)
UniMiSSPlus/utils.py:467
↓ 3 callersFunction_run
(command)
UniMiSSPlus/Downstream/2D/Cls/net/utils.py:356
↓ 3 callersFunction_run
(command)
UniMiSSPlus/Downstream/2D/Seg/net/utils.py:356
↓ 3 callersFunction_run
(command)
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/network_architecture/utils.py:349
↓ 3 callersFunctiondice_loss
(predict, target)
UniMiSSPlus/Downstream/2D/Seg/main.py:157
↓ 3 callersMethodinitialize
create self.output_folder modify self.output_folder if you are doing cross-validation (one folder per fold) set self.tr_gen
UniMiSS/Downstream/BCV/MiTnnu/training/network_training /network_trainer.py:130
↓ 3 callersMethodinitialize
create self.output_folder modify self.output_folder if you are doing cross-validation (one folder per fold) set self.tr_gen
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/training/network_training/network_trainer.py:130
↓ 3 callersMethodinitialize_network
- momentum 0.99 - SGD instead of Adam - self.lr_scheduler = None because we do poly_lr - deep supervision = True
UniMiSS/Downstream/BCV/MiTnnu/training/network_training /TrainerV2_BCV.py:123
↓ 3 callersMethodinitialize_network
- momentum 0.99 - SGD instead of Adam - self.lr_scheduler = None because we do poly_lr - deep supervision = True
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/training/network_training/TrainerV2_BCV.py:123
↓ 3 callersMethodinterpolate_pos_encoding2D
(self, pos_embed, x, w, h)
UniMiSS/models/MiT.py:343
↓ 3 callersMethodinterpolate_pos_encoding2D
(self, pos_embed, x, w, h)
UniMiSSPlus/MiTplus.py:869
↓ 3 callersMethodinterpolate_pos_encoding2D
(self, pos_embed, x, w, h)
UniMiSSPlus/Downstream/2D/Seg/net/MiTPlus.py:272
↓ 3 callersMethodinterpolate_pos_encoding3D
(self, pos_embed, x, d, w, h)
UniMiSS/models/MiT.py:364
↓ 3 callersMethodinterpolate_pos_encoding3D
(self, pos_embed, x, d, w, h)
UniMiSSPlus/MiTplus.py:892
↓ 3 callersMethodinterpolate_pos_encoding3D
(self, pos_embed, x, d, w, h, patch_embed)
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/network_architecture/MiTPlus.py:482
↓ 3 callersFunctionis_dist_avail_and_initialized
()
UniMiSS/utils.py:366
↓ 3 callersFunctionis_dist_avail_and_initialized
()
UniMiSS/Downstream/BCV/MiTnnu/network_architecture /utils.py:366
↓ 3 callersFunctionis_dist_avail_and_initialized
()
UniMiSSPlus/utils.py:484
↓ 3 callersFunctionis_dist_avail_and_initialized
()
UniMiSSPlus/Downstream/2D/Cls/net/utils.py:373
↓ 3 callersFunctionis_dist_avail_and_initialized
()
UniMiSSPlus/Downstream/2D/Seg/net/utils.py:373
↓ 3 callersFunctionis_dist_avail_and_initialized
()
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/network_architecture/utils.py:366
↓ 3 callersMethodload_latest_checkpoint
(self, train=True)
UniMiSS/Downstream/BCV/MiTnnu/training/network_training /network_trainer.py:300
↓ 3 callersMethodload_latest_checkpoint
(self, train=True)
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/training/network_training/network_trainer.py:300
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