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Functions848 in github.com/ShanghaiTech-IMPACT/TeethDreamer

Method__init__
(self, query_dim, context_dim=None, heads=8, dim_head=64, dropout=0.)
ldm/modules/attention.py:162
Method__init__
(self, dim, n_heads, d_head, context_dim=None, checkpoint=True)
ldm/modules/attention.py:206
Method__init__
(self, dim, n_heads, d_head, dropout=0., context_dim=None, gated_ff=True, checkpoint=True, disable_self_attn=F
ldm/modules/attention.py:249
Method__init__
(self, dim, dim_out=None, mult=4, glu=False, dropout=0.)
ldm/modules/attention.py:272
Method__init__
(self, in_channels, n_heads, d_head, depth=1, dropout=0., context_dim=None,
ldm/modules/attention.py:299
Method__init__
( self, spacial_dim: int, embed_dim: int, num_heads_channels: int, out
ldm/modules/diffusionmodules/openaimodel.py:38
Method__init__
(self, channels, out_channels=None, ks=5)
ldm/modules/diffusionmodules/openaimodel.py:124
Method__init__
(self, channels, use_conv, dims=2, out_channels=None,padding=1)
ldm/modules/diffusionmodules/openaimodel.py:144
Method__init__
( self, channels, emb_channels, dropout, out_channels=None, us
ldm/modules/diffusionmodules/openaimodel.py:180
Method__init__
( self, channels, num_heads=1, num_head_channels=-1, use_checkpoint=Fa
ldm/modules/diffusionmodules/openaimodel.py:286
Method__init__
(self, n_heads)
ldm/modules/diffusionmodules/openaimodel.py:353
Method__init__
(self, n_heads)
ldm/modules/diffusionmodules/openaimodel.py:385
Method__init__
( self, image_size, in_channels, model_channels, out_channels,
ldm/modules/diffusionmodules/openaimodel.py:444
Method__init__
( self, image_size, in_channels, model_channels, out_channels,
ldm/modules/diffusionmodules/openaimodel.py:790
Method__init__
(self, c_concat_config, c_crossattn_config)
ldm/modules/diffusionmodules/util.py:253
Method__init__
(self, in_channels, with_conv)
ldm/modules/diffusionmodules/model.py:43
Method__init__
(self, in_channels, with_conv)
ldm/modules/diffusionmodules/model.py:61
Method__init__
(self, *, in_channels, out_channels=None, conv_shortcut=False, dropout, temb_channels=512)
ldm/modules/diffusionmodules/model.py:83
Method__init__
(self, in_channels)
ldm/modules/diffusionmodules/model.py:146
Method__init__
(self, in_channels)
ldm/modules/diffusionmodules/model.py:151
Method__init__
(self, *, ch, out_ch, ch_mult=(1,2,4,8), num_res_blocks, attn_resolutions, dropout=0.0, resam
ldm/modules/diffusionmodules/model.py:369
Method__init__
(self, *, ch, out_ch, ch_mult=(1,2,4,8), num_res_blocks, attn_resolutions, dropout=0.0, resam
ldm/modules/diffusionmodules/model.py:463
Method__init__
(self, in_channels, out_channels, *args, **kwargs)
ldm/modules/diffusionmodules/model.py:572
Method__init__
(self, in_channels, out_channels, ch, num_res_blocks, resolution, ch_mult=(2,2), dropout=0.0)
ldm/modules/diffusionmodules/model.py:608
Method__init__
(self, factor, in_channels, mid_channels, out_channels, depth=2)
ldm/modules/diffusionmodules/model.py:656
Method__init__
(self, in_channels, ch, resolution, out_ch, num_res_blocks, attn_resolutions, dropout=0.0, re
ldm/modules/diffusionmodules/model.py:693
Method__init__
(self, z_channels, out_ch, resolution, num_res_blocks, attn_resolutions, ch, ch_mult=(1,2,4,8),
ldm/modules/diffusionmodules/model.py:712
Method__init__
(self, in_size, out_size, in_channels, out_channels, ch_mult=2)
ldm/modules/diffusionmodules/model.py:729
Method__init__
(self, in_channels=None, learned=False, mode="bilinear")
ldm/modules/diffusionmodules/model.py:748
Method__init__
(self, ch_mult:list, in_channels, pretrained_model:nn.Module=None, reshape=F
ldm/modules/diffusionmodules/model.py:772
Method__init__
(self, value)
ldm/modules/distributions/distributions.py:14
Method__init__
(self, parameters, deterministic=False)
ldm/modules/distributions/distributions.py:25
Method__init__
(self)
ldm/modules/encoders/modules.py:13
Method__init__
(self, augment=True, retreival_key=None)
ldm/modules/encoders/modules.py:25
Method__init__
(self)
ldm/modules/encoders/modules.py:62
Method__init__
(self, embed_dim, n_classes=1000, key='class')
ldm/modules/encoders/modules.py:92
Method__init__
(self, n_embed, n_layer, vocab_size, max_seq_len=77, device="cuda")
ldm/modules/encoders/modules.py:108
Method__init__
(self, device="cuda", vq_interface=True, max_length=77)
ldm/modules/encoders/modules.py:125
Method__init__
(self, version="google/t5-v1_1-large", device="cuda", max_length=77)
ldm/modules/encoders/modules.py:186
Method__init__
(self, model_path, augment=False)
ldm/modules/encoders/modules.py:216
Method__init__
(self, version="openai/clip-vit-large-patch14", device="cuda", max_length=77)
ldm/modules/encoders/modules.py:256
Method__init__
(self, version="openai/clip-vit-large-patch14", max_length=77)
ldm/modules/encoders/modules.py:288
Method__init__
(self, version="openai/clip-vit-large-patch14", device="cuda", max_length=77)
ldm/modules/encoders/modules.py:331
Method__init__
( self, model='ViT-L/14', jit=False, device='cpu',
ldm/modules/encoders/modules.py:348
Method__init__
( self, model='ViT-L/14', jit=False, device='cpu',
ldm/modules/encoders/modules.py:392
Method__init__
(self, n_stages=1, method='bilinear', multiplier=0.5,
ldm/modules/encoders/modules.py:444
Method__init__
(self, model_config, linear_start, linear_end, timesteps=1000, max_noise_level=250, output_size=64,
ldm/modules/encoders/modules.py:480
Method__init__
(self, target_dir, input_dir, uid_set_pkl, normal_predict=False, image_size=256, bg_color='white')
ldm/data/teeth_dreamer.py:22
Method__init__
(self, image_dir, uid_set_pkl, image_size, crop_size, normal_predict)
ldm/data/teeth_dreamer.py:157
Method__init__
(self, image_dir, uid_set_npy, image_size, crop_size, normal_predict=False, single_cond=True)
ldm/data/teeth_dreamer.py:220
Method__init__
(self, target_dir, input_dir, validation_dir, test_dir, batch_size, uid_set_pkl, test_set_npy, num_workers=4,
ldm/data/teeth_dreamer.py:279
Method__init__
(self, embed_dim, *args, **kwargs)
ldm/models/autoencoder.py:265
Method__init__
(self, ddconfig, lossconfig, embed_dim, ck
ldm/models/autoencoder.py:286
Method__init__
(self, *args, vq_interface=False, **kwargs)
ldm/models/autoencoder.py:427
Method__init__
(self, dim, n_heads, d_head, context_dim=None, checkpoint=True)
ldm/models/diffusion/sync_dreamer_attention.py:51
Method__init__
(self, volume_dims=(5,16,32,64), zero_123_infer=False, *args, **kwargs)
ldm/models/diffusion/sync_dreamer_attention.py:88
Method__init__
(self, dim, tdim, vdim)
ldm/models/diffusion/sync_dreamer_network.py:5
Method__init__
(self, time_embed_dim, viewpoint_dim, run_dim=16, output_dim=8)
ldm/models/diffusion/sync_dreamer_network.py:24
Method__init__
(self, x_in_dim, t_in_dim, out_dim)
ldm/models/diffusion/sync_dreamer_network.py:51
Method__init__
(self, x_in_dim, t_in_dim, out_dim, stride)
ldm/models/diffusion/sync_dreamer_network.py:64
Method__init__
(self, time_dim=256, input_dim=128, dims=(32, 64, 128, 256))
ldm/models/diffusion/sync_dreamer_network.py:77
Method__init__
(self, x_dim, t_dim, v_dim, out_dim)
ldm/models/diffusion/sync_dreamer_network.py:140
Method__init__
(self, in_dim, t_dim, v_dim, dims=(32, 64, 128, 256))
ldm/models/diffusion/sync_dreamer_network.py:154
Method__init__
(self, diff_model_config, drop_conditions=False, drop_scheme='default', use_zero_123=True)
ldm/models/diffusion/zero123.py:38
Method__init__
(self, model: Zero123, ddim_num_steps, ddim_discretize="uniform", ddim_eta=1.0, latent_size=32)
ldm/models/diffusion/zero123.py:476
Method__init__
(self, time_dim, view_dim, view_num, input_image_size=256, frustum_volume_depth=48,
ldm/models/diffusion/teeth_dreamer.py:133
Method__init__
(self, unet_config, scheduler_config, finetune_unet=False, finetune_projection=True,
ldm/models/diffusion/teeth_dreamer.py:246
Method__init__
(self, model: TeethDreamer, ddim_num_steps, ddim_discretize="uniform", ddim_eta=1.0, latent_size=32)
ldm/models/diffusion/teeth_dreamer.py:620
Method__init__
(self, time_dim, view_dim, view_num, input_image_size=256, frustum_volume_depth=48,
ldm/models/diffusion/sync_dreamer.py:133
Method__init__
(self, unet_config, scheduler_config, finetune_unet=False, finetune_projection=True, use_zero
ldm/models/diffusion/sync_dreamer.py:246
Method__init__
(self, model: SyncMultiviewDiffusion, ddim_num_steps, ddim_discretize="uniform", ddim_eta=1.0, latent_size=32)
ldm/models/diffusion/sync_dreamer.py:921
Method__init__
(self, input_size, num_layers, mode='ir', drop_ratio=0.4, affine=True)
ldm/thirdp/psp/model_irse.py:12
Method__init__
(self, in_channel, depth, stride)
ldm/thirdp/psp/helpers.py:78
Method__init__
(self, in_channel, depth, stride)
ldm/thirdp/psp/helpers.py:100
Method__init__
(self, model_path)
ldm/thirdp/psp/id_loss.py:8
Method__iter__
(self)
instant-nsr-pl/datasets/dtu.py:157
Method__iter__
(self)
instant-nsr-pl/datasets/blender.py:182
Method__iter__
(self)
instant-nsr-pl/datasets/colmap.py:288
Method__len__
(self)
instant-nsr-pl/datasets/dtu.py:144
Method__len__
(self)
instant-nsr-pl/datasets/blender.py:169
Method__len__
(self)
instant-nsr-pl/datasets/colmap.py:275
Method__len__
(self)
ldm/data/teeth_dreamer.py:42
Method__len__
(self)
ldm/data/teeth_dreamer.py:182
Method__len__
(self)
ldm/data/teeth_dreamer.py:234
Method__setstate__
(self, state)
ldm/util.py:198
Method_forward
(self, x, context)
ldm/modules/attention.py:231
Method_forward
(self, x, context=None)
ldm/modules/attention.py:265
Method_forward
(self, x, emb)
ldm/modules/diffusionmodules/openaimodel.py:256
Method_forward
(self, x)
ldm/modules/diffusionmodules/openaimodel.py:319
Method_forward
(self, x, context)
ldm/models/diffusion/sync_dreamer_attention.py:78
Method_get_closed_form_lr
(self)
instant-nsr-pl/systems/utils.py:217
Method_get_closed_form_lr
(self)
instant-nsr-pl/systems/utils.py:283
Method_init_multiview
(self)
ldm/models/diffusion/sync_dreamer.py:321
Methodbackward
(ctx, g)
instant-nsr-pl/models/utils.py:64
Methodbackward
(ctx, *output_grads)
ldm/modules/diffusionmodules/util.py:131
Methodbatch_func
(x)
instant-nsr-pl/models/geometry.py:84
Methodbatch_func
(x)
instant-nsr-pl/models/geometry.py:172
Functionbetas_for_alpha_bar
Create a beta schedule that discretizes the given alpha_t_bar function, which defines the cumulative product of (1-beta) over time from t = [
ldm/modules/diffusionmodules/util.py:77
Functioncast_rays
(ori, dir, z_vals)
instant-nsr-pl/models/ray_utils.py:5
Functioncompute_F
(K1, K2, Rt0, Rt1=None)
ldm/base_utils.py:74
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