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Functions1,158 in github.com/One-2-3-45/One-2-3-45

⨍ Functions 1,158◇ Types & classes 214

Method__init__

( self, dim, depth, heads=8, causal=False,

ldm/modules/x_transformer.py:371

Method__init__

(self, **kwargs)

ldm/modules/x_transformer.py:542

Method__init__

( self, *, num_tokens, max_seq_len, attn_layers,

ldm/modules/x_transformer.py:549

Method__init__

(self, dim, dim_out=None, mult=4, glu=False, dropout=0.)

ldm/modules/attention.py:48

Method__init__

(self, dim, heads=4, dim_head=32)

ldm/modules/attention.py:81

Method__init__

(self, in_channels)

ldm/modules/attention.py:100

Method__init__

(self, query_dim, context_dim=None, heads=8, dim_head=64, dropout=0.)

ldm/modules/attention.py:153

Method__init__

(self, dim, n_heads, d_head, dropout=0., context_dim=None, gated_ff=True, checkpoint=True, di

ldm/modules/attention.py:197

Method__init__

(self, in_channels, n_heads, d_head, depth=1, dropout=0., context_dim=None,

ldm/modules/attention.py:229

Method__init__

(self, window_size=11, size_average=True)

ldm/modules/evaluate/ssim.py:80

Method__init__

(self, requires_grad=False, pretrained=True)

ldm/modules/evaluate/evaluate_perceptualsim.py:41

Method__init__

(self, requires_grad=False, pretrained=True)

ldm/modules/evaluate/evaluate_perceptualsim.py:99

Method__init__

(self, requires_grad=False, pretrained=True)

ldm/modules/evaluate/evaluate_perceptualsim.py:144

Method__init__

(self, requires_grad=False, pretrained=True, num=18)

ldm/modules/evaluate/evaluate_perceptualsim.py:188

Method__init__

(self, mu: np.ndarray, sigma: np.ndarray)

ldm/modules/evaluate/adm_evaluator.py:89

Method__init__

( self, session, batch_size=64, softmax_batch_size=512, )

ldm/modules/evaluate/adm_evaluator.py:140

Method__init__

Estimate the manifold of given feature vectors. :param session: the TensorFlow session. :param row_batch_size: row batch siz

ldm/modules/evaluate/adm_evaluator.py:234

Method__init__

(self, session)

ldm/modules/evaluate/adm_evaluator.py:391

Method__init__

(self, gen_fn, length)

ldm/modules/evaluate/adm_evaluator.py:478

Method__init__

(self, arr_f, shape, dtype)

ldm/modules/evaluate/adm_evaluator.py:490

Method__init__

(self, arr)

ldm/modules/evaluate/adm_evaluator.py:516

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:786

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, disc_start, codebook_weight=1.0, pixelloss_weight=1.0, disc_num_layers=3, disc_in_chan

ldm/modules/losses/vqperceptual.py:44

Method__init__

(self, disc_start, logvar_init=0.0, kl_weight=1.0, pixelloss_weight=1.0, disc_num_layers=3, d

ldm/modules/losses/contperceptual.py:8

Method__init__

(self, min_size, transform=None, target_transform=None)

ldm/data/laion.py:25

Method__init__

(self, tar_base, batch_size, train=None, validation=None, test=None, num_workers=4, multinode

ldm/data/laion.py:109

Method__init__

(self, image_key="jpg")

ldm/data/laion.py:251

Method__init__

(self, mode="512train", p_drop=0.)

ldm/data/laion.py:274

Method__init__

(self, mode="512train", mask_edges=True)

ldm/data/laion.py:295

Method__init__

(self, root_dir, image_transforms, caption_file, offset=8, n=2)

ldm/data/simple.py:43

Method__init__

assume sequential frames and a deterministic transform

ldm/data/simple.py:137

Method__init__

(self, root_dir, batch_size, total_view, train=None, validation=None, test=None, num_workers=

ldm/data/simple.py:169

Method__init__

Create a dataset from a folder of images. If you pass in a root directory it will be searched for images ending in ext (ext can be a l

ldm/data/simple.py:209

Method__init__

Create a dataset from a folder of images. If you pass in a root directory it will be searched for images ending in ext (ext can be a l

ldm/data/simple.py:333

Method__init__

(self, ds, extra_label="sksbspic")

ldm/data/simple.py:416

Method__init__

(self, ret_file, *args, **kwargs)

ldm/data/simple.py:508

Method__init__

(self, config=None)

ldm/data/imagenet.py:27

Method__init__

(self, process_images=True, data_root=None, **kwargs)

ldm/data/imagenet.py:145

Method__init__

(self, process_images=True, data_root=None, **kwargs)

ldm/data/imagenet.py:211

Method__init__

(self, **kwargs)

ldm/data/imagenet.py:376

Method__init__

(self, **kwargs)

ldm/data/imagenet.py:387

Method__init__

(self, num_records=0, valid_ids=None, size=256)

(self, flip_p=0., **kwargs)

(self, flip_p=0.0, **kwargs)

(self, flip_p=0., **kwargs)

(self, length, size, emb_size)

ldm/data/dummy.py:22

Method__init__

(self, size, onehot_segmentation=False, use_stuffthing=False, crop_size=None, force_no_crop=False,)

ldm/data/coco.py:168

Method__init__

(self, size, onehot_segmentation=False, use_stuffthing=False, crop_size=None, force_no_crop=False,

ldm/data/coco.py:184

Method__init__

(self, size, onehot_segmentation=False, use_stuffthing=False, crop_size=None, force_no_crop=False,crop_type='r

ldm/data/coco.py:203

Method__init__

(self, size, onehot_segmentation=False, use_stuffthing=False, crop_size=None, force_no_crop=False,

ldm/data/coco.py:220

Method__init__

(self, root_dir='datasets/RTMV/google_scanned',\ first_K=64, resolution=256, load_target=Fals

ldm/data/nerf_like.py:44

Method__init__

(self, root_dir='datasets/GoogleScannedObjects',\ split='val', first_K=5, resolution=256, loa

ldm/data/nerf_like.py:85

Method__init__

(self, root_dir='data/nerf_wild',\ first_K=33, resolution=256, load_target=False)

ldm/data/nerf_like.py:128

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

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