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Functions2,893 in github.com/QWTforGithub/T2LDM

↓ 111 callersFunction_cfg
(url='', **kwargs)
timm/models/efficientnet.py:54
↓ 79 callersFunction_cfg
(url='', **kwargs)
timm/models/resnet.py:24
↓ 79 callersFunction_create_resnet
(variant, pretrained=False, **kwargs)
timm/models/resnet.py:687
↓ 61 callersMethodget
Get value by key at specified index (indices) if idx == None, returns value for key at each output index if idx is an integer, return
timm/models/features.py:36
↓ 58 callersFunctiontrunc_normal_
r"""Fills the input Tensor with values drawn from a truncated normal distribution. The values are effectively drawn from the normal distributi
timm/models/layers/weight_init.py:44
↓ 55 callersMethodformat
(self, record)
timm/utils/log.py:13
↓ 49 callersFunctionbuild_model_with_cfg
Build model with specified default_cfg and optional model_cfg This helper fn aids in the construction of a model including: * handling def
timm/models/helpers.py:404
↓ 43 callersFunction_create_normfreenet
(variant, pretrained=False, **kwargs)
timm/models/nfnet.py:588
↓ 43 callersFunction_dcfg
(url='', **kwargs)
timm/models/nfnet.py:35
↓ 42 callersFunction_cfg
(url='', **kwargs)
timm/models/xcit.py:26
↓ 42 callersFunction_create_xcit
(variant, pretrained=False, default_cfg=None, **kwargs)
timm/models/xcit.py:469
↓ 41 callersFunction_gen_efficientnet
Creates an EfficientNet model. Ref impl: https://github.com/tensorflow/tpu/blob/master/models/official/efficientnet/efficientnet_model.py Pap
timm/models/efficientnet.py:770
↓ 37 callersFunction_create_vision_transformer
(variant, pretrained=False, default_cfg=None, **kwargs)
timm/models/vision_transformer.py:528
↓ 36 callersFunction_cfg
(url='', **kwargs)
timm/models/vision_transformer.py:43
↓ 36 callersFunctioncreate_conv2d
Select a 2d convolution implementation based on arguments Creates and returns one of torch.nn.Conv2d, Conv2dSame, MixedConv2d, or CondConv2d.
timm/models/layers/create_conv2d.py:11
↓ 36 callersFunctiontqdm
(x)
eval/fid_score.py:40
↓ 35 callersFunctionget_module
( name="CircularConv2D", **kwargs )
models/T2LDM.py:109
↓ 35 callersFunctionmake_divisible
(v, divisor=8, min_value=None, round_limit=.9)
timm/models/layers/helpers.py:25
↓ 34 callersFunctioncreate_classifier
(num_features, num_classes, pool_type='avg', use_conv=False)
timm/models/layers/classifier.py:34
↓ 31 callersMethodget
(self, H, W, D_rot, device, dtype, azim_start=0.0, azim_range=2 * math.pi)
models/T2LDM.py:231
↓ 31 callersMethodstate_dict
(self)
timm/utils/cuda.py:27
↓ 30 callersFunction_create_byobnet
(variant, pretrained=False, **kwargs)
timm/models/byobnet.py:1468
↓ 30 callersFunction_n2p
(w, t=True)
timm/models/vision_transformer.py:413
↓ 30 callersFunctioncreate_pool2d
(pool_type, kernel_size, stride=None, **kwargs)
timm/models/layers/pool2d_same.py:56
↓ 28 callersMethodupdate
(self, model)
timm/utils/model_ema.py:68
↓ 24 callersFunction_cfg
(url='', **kwargs)
timm/models/mlp_mixer.py:54
↓ 24 callersFunction_cfg
(url='', **kwargs)
timm/models/regnet.py:60
↓ 24 callersFunction_create_mixer
(variant, pretrained=False, **kwargs)
timm/models/mlp_mixer.py:350
↓ 24 callersFunction_create_regnet
(variant, pretrained, **kwargs)
timm/models/regnet.py:344
↓ 24 callersFunction_mcfg
(**kwargs)
timm/models/regnet.py:25
↓ 24 callersFunctioninterleave_blocks
interleave 2 block types in stack
timm/models/byobnet.py:207
↓ 23 callersMethodrandn
( self, *shape, rng: List[torch.Generator] | torch.Generator | None = None
models/diffusion/base.py:105
↓ 22 callersFunction_cfg
(url='', **kwargs)
timm/models/resnetv2.py:45
↓ 21 callersFunction_cfg
(url='', **kwargs)
timm/models/gluon_resnet.py:14
↓ 21 callersFunction_create_resnet
(variant, pretrained=False, **kwargs)
timm/models/gluon_resnet.py:60
↓ 21 callersFunction_nfnet_cfg
( depths, channels=(256, 512, 1536, 1536), group_size=128, bottle_ratio=0.5, feat_mult=2., act
timm/models/nfnet.py:193
↓ 21 callersFunctiondecode_arch_def
(arch_def, depth_multiplier=1.0, depth_trunc='ceil', experts_multiplier=1, fix_first_last=False)
timm/models/efficientnet_builder.py:238
↓ 21 callersMethoddownsample
Feature map down-sampling.
timm/models/coat.py:270
↓ 21 callersFunctionresolve_bn_args
(kwargs)
timm/models/efficientnet_builder.py:42
↓ 20 callersMethodload_state_dict
(self, state_dict)
timm/utils/cuda.py:31
↓ 19 callersMethodinterpolate
Feature map interpolation.
timm/models/coat.py:274
↓ 18 callersFunction_cfgr
(url='', **kwargs)
timm/models/byobnet.py:54
↓ 17 callersFunction_cfg
(url='', **kwargs)
timm/models/vision_transformer_hybrid.py:30
↓ 17 callersFunction_create_effnet
(variant, pretrained=False, **kwargs)
timm/models/efficientnet.py:555
↓ 17 callersFunction_create_vision_transformer_hybrid
(variant, backbone, pretrained=False, **kwargs)
timm/models/vision_transformer_hybrid.py:143
↓ 17 callersFunctionresolve_act_layer
(kwargs, default='relu')
timm/models/efficientnet_builder.py:53
↓ 17 callersMethodtransform
(self)
timm/data/dataset.py:133
↓ 16 callersFunction_cfg
(url='', **kwargs)
timm/models/mobilenetv3.py:29
↓ 15 callersMethodencode_text
(self, tokens, **kwargs)
models/T5/T5.py:77
↓ 15 callersFunctionget_act_layer
Activation Layer Factory Fetching activation layers by name with this function allows export or torch script friendly functions to be returne
timm/models/layers/create_act.py:128
↓ 15 callersMethodnormalize
Scale from [0, 1] to [-1, +1]
utils/lidar.py:52
↓ 15 callersFunctiont2p
Possibly convert HWIO to OIHW.
timm/models/resnetv2.py:435
↓ 15 callersMethodtokenize
(self, texts, **kwargs)
models/T5/T5.py:63
↓ 14 callersFunction_cfg
(url='', **kwargs)
timm/models/byoanet.py:23
↓ 14 callersFunction_create_byoanet
(variant, cfg_variant=None, pretrained=False, **kwargs)
timm/models/byoanet.py:308
↓ 14 callersFunction_create_resnetv2_bit
(variant, pretrained=False, **kwargs)
timm/models/resnetv2.py:479
↓ 14 callersFunctioncreate_act_layer
(name: Union[nn.Module, str], inplace=None, **kwargs)
timm/models/layers/create_act.py:149
↓ 14 callersFunctionget_attn
(attn_type)
timm/models/layers/create_attn.py:21
↓ 13 callersFunction_resnetv2
ResNet-V2 backbone helper
timm/models/vision_transformer_hybrid.py:150
↓ 13 callersFunctionget_text
(info, key, func_name, dict, print_info=False)
data/nuScenes/descriptor_plus.py:366
↓ 13 callersFunctionget_text
(info, key, func_name, dict, print_info=False)
data/nuScenes/descriptor.py:324
↓ 13 callersMethodrun_layer
(self, x, layer, skips, os)
eval/models/rangenet/model.py:145
↓ 13 callersMethodstem
(x)
models/CLIP/clip/model.py:143
↓ 12 callersMethod__init__
( self, channels: int = 64, eps: float = 1e-6, affine: boo
models/T2LDM.py:325
↓ 12 callersFunction_cfg
(url='', **kwargs)
timm/models/dla.py:22
↓ 12 callersFunction_cfg
(url='', **kwargs)
timm/models/byobnet.py:44
↓ 12 callersFunction_create_dla
(variant, pretrained=False, **kwargs)
timm/models/dla.py:341
↓ 12 callersFunction_gen_mobilenet_v3
Creates a MobileNet-V3 model. Ref impl: ? Paper: https://arxiv.org/abs/1905.02244 Args: channel_multiplier: multiplier to number o
timm/models/mobilenetv3.py:277
↓ 12 callersFunctionmake_norm
( ch=64, norm_type="gn" # "gn", "rmsn", "ln" )
models/T2LDM.py:95
↓ 12 callersFunctionnonlinearity
(x)
models/T2LDM.py:891
↓ 11 callersFunction_cfg
(url='')
timm/models/vovnet.py:139
↓ 11 callersFunction_cfg
(url='', **kwargs)
timm/models/crossvit.py:40
↓ 11 callersFunction_create_crossvit
(variant, pretrained=False, **kwargs)
timm/models/crossvit.py:380
↓ 11 callersFunction_create_vovnet
(variant, pretrained=False, **kwargs)
timm/models/vovnet.py:339
↓ 11 callersFunctionconv2d_iabn
(ni, nf, stride, kernel_size=3, groups=1, act_layer="leaky_relu", act_param=1e-2)
timm/models/tresnet.py:60
↓ 11 callersFunctionget_w2_dict
( bin_path, semantic_path, object_class_name, w2_num, use_random=
data/kitti_semantic/descriptor.py:193
↓ 10 callersFunctionNormalize
(in_channels, num_groups=None)
models/T2LDM.py:347
↓ 10 callersFunction_cfg
(url='', **kwargs)
timm/models/cait.py:25
↓ 10 callersFunction_cfg
(url='', **kwargs)
timm/models/swin_transformer.py:32
↓ 10 callersFunction_create_cait
(variant, pretrained=False, **kwargs)
timm/models/cait.py:315
↓ 10 callersFunction_create_swin_transformer
(variant, pretrained=False, default_cfg=None, **kwargs)
timm/models/swin_transformer.py:541
↓ 10 callersFunction_gen_efficientnet_lite
Creates an EfficientNet-Lite model. Ref impl: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet/lite Paper: https://
timm/models/efficientnet.py:878
↓ 10 callersMethodconvert_depth
Convert metric depth in [0, `max_depth`] to normalized depth in [0, 1].
utils/lidar.py:249
↓ 10 callersMethoddenormalize
Scale from [-1, +1] to [0, 1]
utils/lidar.py:47
↓ 10 callersMethodsample
(self, *args, **kwargs)
models/diffusion/base.py:272
↓ 10 callersMethodtrain
(self, mode=True)
timm/models/levit.py:265
↓ 10 callersMethodupdate_groups
(self, values)
timm/scheduler/scheduler.py:81
↓ 9 callersMethod__init__
(self)
timm/models/inception_v4.py:44
↓ 9 callersMethod__init__
(self, in_channels, out_channels, kernel_size, stride=1, padding='')
timm/models/nasnet.py:36
↓ 9 callersFunction_cfg
(url='', **kwargs)
timm/models/senet.py:28
↓ 9 callersFunction_cfg
(url='', **kwargs)
timm/models/hrnet.py:29
↓ 9 callersFunction_cfg
(url='')
timm/models/densenet.py:23
↓ 9 callersFunction_create_densenet
(variant, growth_rate, block_config, pretrained, **kwargs)
timm/models/densenet.py:286
↓ 9 callersFunction_create_hrnet
(variant, pretrained, **model_kwargs)
timm/models/hrnet.py:774
↓ 9 callersFunction_create_resnetv2
(variant, pretrained=False, **kwargs)
timm/models/resnetv2.py:469
↓ 9 callersFunction_create_senet
(variant, pretrained=False, **kwargs)
timm/models/senet.py:399
↓ 9 callersFunction_nfres_cfg
( depths, channels=(256, 512, 1024, 2048), group_size=None, act_layer='relu', attn_layer=None, attn_kw
timm/models/nfnet.py:175
↓ 9 callersFunctionget_boxes_to_boxes
(item, object="car", only_object=True)
data/nuScenes/descriptor_plus.py:580
↓ 9 callersFunctionread_pkl
( root_path = None, description = None, )
data/nuScenes/descriptor_plus.py:261
↓ 9 callersFunctionread_pkl
( file_path = f"{ROOT_PATH}/{DESCRIPTION}" )
data/nuScenes/descriptor.py:228
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