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Functions5,024 in github.com/OpenBMB/VisRAG

↓ 15 callersFunction_create_byoanet
(variant, cfg_variant=None, pretrained=False, **kwargs)
timm_modified/timm/models/byoanet.py:263
↓ 15 callersFunction_create_mixer
(variant, pretrained=False, **kwargs)
timm_modified/timm/models/mlp_mixer.py:332
↓ 15 callersMethodload_state_dict
(self, state_dict)
timm_modified/timm/utils/cuda.py:41
↓ 15 callersFunctiont2p
Possibly convert HWIO to OIHW.
timm_modified/timm/models/resnetv2.py:499
↓ 15 callersFunctionval2tuple
(x: list or tuple or any, min_len: int = 1, idx_repeat: int = -1)
timm_modified/timm/models/efficientvit_mit.py:32
↓ 14 callersMethod__init__
( self, in_channels, out_channels, norm_layer=None, )
timm_modified/timm/models/metaformer.py:55
↓ 14 callersFunction_cfg
(url="", **kwargs)
timm_modified/timm/models/fastvit.py:1267
↓ 14 callersFunction_cfg
(url='', **kwargs)
timm_modified/timm/models/hrnet.py:880
↓ 14 callersFunctiontrunc_normal_tf_
r"""Fills the input Tensor with values drawn from a truncated normal distribution. The values are effectively drawn from the normal distributi
timm_modified/timm/layers/weight_init.py:70
↓ 13 callersMethod__init__
(self, in_chs, out_chs, act_layer)
timm_modified/timm/models/levit.py:123
↓ 13 callersMethod__init__
(self, in_chs, out_chs, depth, norm_layer, act_layer, block_type='default')
timm_modified/timm/models/efficientvit_mit.py:481
↓ 13 callersFunction_cfg
(url='', **kwargs)
timm_modified/timm/models/beit.py:430
↓ 13 callersFunction_cfg
(url='', **kwargs)
timm_modified/timm/models/repvit.py:370
↓ 13 callersFunction_cfg
(url='', **kwargs)
timm_modified/timm/models/vision_transformer_relpos.py:422
↓ 13 callersFunction_create_vision_transformer_hybrid
(variant, backbone, pretrained=False, **kwargs)
timm_modified/timm/models/vision_transformer_hybrid.py:142
↓ 13 callersFunction_create_vision_transformer_relpos
(variant, pretrained=False, **kwargs)
timm_modified/timm/models/vision_transformer_relpos.py:414
↓ 13 callersFunction_nfnet_cfg
( depths, channels=(256, 512, 1536, 1536), group_size=128, bottle_ratio=0.5,
timm_modified/timm/models/nfnet.py:498
↓ 13 callersFunction_test_model
(optimizer, params, device=torch.device('cpu'))
timm_modified/tests/test_optim.py:178
↓ 13 callersMethodencode
(self, items, model, head, is_query=False, **kwargs)
src/openmatch/modeling/dense_retrieval_model.py:142
↓ 13 callersMethodfrom_dict
Create a DataProto from a dict of tensors. This assumes that 1. All the tensor in tensors have the same dim0 2. Only dim0 is the batch
src/rsgrpo/verl/protocol.py:284
↓ 13 callersFunctionprint_gpu_memory_usage
Report the current GPU VRAM usage.
src/rsgrpo/verl/utils/model_utils.py:31
↓ 12 callersMethod__init__
(self, config)
src/openmatch/modeling/modeling_siglip/modeling_siglip.py:647
↓ 12 callersFunction_cfg
(url='', **kwargs)
timm_modified/timm/models/dla.py:397
↓ 12 callersFunction_cfg
(url='', **kwargs)
timm_modified/timm/models/rexnet.py:263
↓ 12 callersFunction_cfg
(url='', **kwargs)
timm_modified/timm/models/nextvit.py:606
↓ 12 callersFunction_cfg
(url='', **kwargs)
timm_modified/timm/models/focalnet.py:489
↓ 12 callersFunction_cfg
(url='', **kwargs)
timm_modified/timm/models/swin_transformer_v2.py:661
↓ 12 callersFunction_create_dla
(variant, pretrained=False, **kwargs)
timm_modified/timm/models/dla.py:386
↓ 12 callersFunction_create_focalnet
(variant, pretrained=False, **kwargs)
timm_modified/timm/models/focalnet.py:556
↓ 12 callersFunction_create_swin_transformer_v2
(variant, pretrained=False, **kwargs)
timm_modified/timm/models/swin_transformer_v2.py:649
↓ 12 callersFunction_cs3_cfg
( width_multiplier=1.0, depth_multiplier=1.0, avg_down=False, act_layer='silu'
timm_modified/timm/models/cspnet.py:98
↓ 12 callersFunction_inverted_residual_block
(d, c, s, br=4.0)
timm_modified/timm/models/mobilevit.py:33
↓ 12 callersFunction_mobilevit_block
(d, c, s, transformer_dim, transformer_depth, patch_size=4, br=4.0)
timm_modified/timm/models/mobilevit.py:40
↓ 12 callersFunction_pad_arg
(x, n)
timm_modified/timm/models/cspnet.py:40
↓ 12 callersFunction_rw_max_cfg
( stride_mode='dw', pool_type='avg2', conv_output_bias=False, conv_attn_ratio=
timm_modified/timm/models/maxxvit.py:1321
↓ 12 callersMethodtrain
(self, mode=True)
timm_modified/timm/models/levit.py:204
↓ 11 callersMethod__init__
Build convolutional FFN module. Args: in_chs: Number of input channels. hidden_channels: Number of channels after exp
timm_modified/timm/models/fastvit.py:708
↓ 11 callersMethod__init__
(self, )
timm_modified/timm/models/efficientformer.py:138
↓ 11 callersFunction_assert_equal
(data1: DataProto, data2: Optional[DataProto] = None)
src/rsgrpo/tests/test_dataproto.py:47
↓ 11 callersFunction_cfg
(url='', **kwargs)
timm_modified/timm/models/crossvit.py:490
↓ 11 callersFunction_cfg
(url='', **kwargs)
timm_modified/timm/models/tiny_vit.py:573
↓ 11 callersFunction_cfg
(url='', **kwargs)
timm_modified/timm/models/volo.py:741
↓ 11 callersFunction_create_crossvit
(variant, pretrained=False, **kwargs)
timm_modified/timm/models/crossvit.py:467
↓ 11 callersFunction_create_hrnet
(variant, pretrained=False, cfg_variant=None, **model_kwargs)
timm_modified/timm/models/hrnet.py:856
↓ 11 callersFunction_create_resnetv2
(variant, pretrained=False, **kwargs)
timm_modified/timm/models/resnetv2.py:533
↓ 11 callersFunction_create_volo
(variant, pretrained=False, **kwargs)
timm_modified/timm/models/volo.py:730
↓ 11 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_modified/timm/models/mobilenetv3.py:350
↓ 11 callersFunction_rep_vgg_bcfg
(d=(4, 6, 16, 1), wf=(1., 1., 1., 1.), groups=0)
timm_modified/timm/models/byobnet.py:89
↓ 11 callersFunction_rw_coat_cfg
( stride_mode='pool', pool_type='avg2', conv_output_bias=False, conv_attn_earl
timm_modified/timm/models/maxxvit.py:1269
↓ 11 callersFunctionlist_models
Return list of available model names, sorted alphabetically Args: filter - Wildcard filter string that works with fnmatch module
timm_modified/timm/models/_registry.py:185
↓ 11 callersFunctiontimer
(name: str, timing_raw: Dict[str, float])
src/rsgrpo/verl/utils/py_functional.py:123
↓ 11 callersMethodtransform
(self)
timm_modified/timm/data/dataset.py:181
↓ 10 callersMethod__init__
(self, inplace: bool = False)
timm_modified/timm/layers/activations.py:39
↓ 10 callersMethod__init__
(self, in_chs, out_chs, act_layer=nn.GELU, norm_layer=nn.BatchNorm2d)
timm_modified/timm/models/efficientformer_v2.py:427
↓ 10 callersMethod__init__
(self, ed, h)
timm_modified/timm/models/efficientvit_msra.py:105
↓ 10 callersMethod__init__
(self, config)
src/openmatch/modeling/weighted_selection/MiniCPMV20/modeling_minicpm.py:294
↓ 10 callersMethod__init__
(self, config)
src/openmatch/modeling/modeling_minicpmv/modeling_minicpm.py:294
↓ 10 callersFunction_cfg
(url='', **kwargs)
timm_modified/timm/models/cait.py:389
↓ 10 callersFunction_cfg
(url='', **kwargs)
timm_modified/timm/models/vovnet.py:392
↓ 10 callersFunction_cfg
(url='', **kwargs)
timm_modified/timm/models/tresnet.py:295
↓ 10 callersFunction_create_cait
(variant, pretrained=False, **kwargs)
timm_modified/timm/models/cait.py:375
↓ 10 callersFunction_create_hgnet
(variant, pretrained=False, **kwargs)
timm_modified/timm/models/hgnet.py:626
↓ 10 callersFunction_create_mobilevit
(variant, cfg_variant=None, pretrained=False, **kwargs)
timm_modified/timm/models/mobilevit.py:547
↓ 10 callersFunction_create_rexnet
(variant, pretrained, **kwargs)
timm_modified/timm/models/rexnet.py:252
↓ 10 callersFunction_create_vovnet
(variant, pretrained=False, **kwargs)
timm_modified/timm/models/vovnet.py:381
↓ 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_modified/timm/models/efficientnet.py:603
↓ 10 callersMethodbackward
(ctx, grad_output)
timm_modified/timm/layers/activations_me.py:82
↓ 10 callersFunctionget_ulysses_sequence_parallel_group
Get ulysses sequence parallel process group.
src/rsgrpo/verl/utils/ulysses.py:39
↓ 10 callersFunctionoffload_fsdp_model
(model: FSDP, empty_cache: bool = True)
src/rsgrpo/verl/utils/fsdp_utils.py:70
↓ 10 callersMethodpost_init
(self)
src/rsgrpo/verl/trainer/config.py:167
↓ 10 callersFunctionpreprocess_text
(text)
src/openmatch/generation_utils.py:39
↓ 10 callersFunctionprod
(iterable)
timm_modified/timm/models/mvitv2.py:84
↓ 10 callersMethodupdate_groups
(self, values)
timm_modified/timm/scheduler/scheduler.py:91
↓ 9 callersMethod__init__
(self, stem_chs)
timm_modified/timm/models/hgnet.py:131
↓ 9 callersMethod__init__
( self, in_chs: int, out_chs: int, kernel_size: int = 3,
timm_modified/timm/models/byobnet.py:916
↓ 9 callersMethod__init__
( self, in_chans=3, img_size=224, embed_dim=(48,), depth=(2,),
timm_modified/timm/models/repvit.py:256
↓ 9 callersMethod__init__
(self, in_channels, out_channels, kernel_size, stride=1, padding='')
timm_modified/timm/models/nasnet.py:21
↓ 9 callersMethod__init__
(self, in_chs, out_chs, expand_ratio, act_layer, drop_path)
timm_modified/timm/models/tiny_vit.py:68
↓ 9 callersFunction_cfg
(url='', **kwargs)
timm_modified/timm/models/res2net.py:123
↓ 9 callersFunction_cfg
(url='', **kwargs)
timm_modified/timm/models/senet.py:370
↓ 9 callersFunction_create_res2net
(variant, pretrained=False, **kwargs)
timm_modified/timm/models/res2net.py:119
↓ 9 callersFunction_create_senet
(variant, pretrained=False, **kwargs)
timm_modified/timm/models/senet.py:366
↓ 9 callersFunction_create_swin_transformer
(variant, pretrained=False, **kwargs)
timm_modified/timm/models/swin_transformer.py:666
↓ 9 callersFunction_nfres_cfg
( depths, channels=(256, 512, 1024, 2048), group_size=None, act_layer='relu',
timm_modified/timm/models/nfnet.py:457
↓ 9 callersFunction_r3cfg
(url='', **kwargs)
timm_modified/timm/models/resnet.py:616
↓ 9 callersFunction_resnetv2
ResNet-V2 backbone helper
timm_modified/timm/models/vision_transformer_hybrid.py:148
↓ 9 callersFunction_tcfg
(url='', **kwargs)
timm_modified/timm/models/resnet.py:598
↓ 9 callersMethodforward_features
(self, x)
timm_modified/timm/models/dla.py:362
↓ 9 callersMethodunion
Union with another DataProto. Union batch and meta_info separately. Throw an error if - there are conflict keys in batch and they are
src/rsgrpo/verl/protocol.py:483
↓ 8 callersMethod__init__
(self, num_features, apply_act=True, momentum=0.1, eps=1e-3, **_)
timm_modified/timm/layers/evo_norm.py:100
↓ 8 callersMethod__init__
(self, conv_block=ConvNormAct)
timm_modified/timm/models/inception_v4.py:19
↓ 8 callersMethod__init__
( self, in_chs=3, out_chs=96, stride=4, norm_layer
timm_modified/timm/models/davit.py:51
↓ 8 callersMethod__init__
( self, in_chs: int = 3, out_chs: int = 96, act_layer: Callabl
timm_modified/timm/models/gcvit.py:137
↓ 8 callersMethod__init__
( self, layers, img_size=224, in_chans=3, num_clas
timm_modified/timm/models/volo.py:450
↓ 8 callersFunction_cfg
(url='', **kwargs)
timm_modified/timm/models/resnest.py:129
↓ 8 callersFunction_cfg
(url='', **kwargs)
timm_modified/timm/models/pit.py:321
↓ 8 callersFunction_cfg
(url='', **kwargs)
timm_modified/timm/models/dpn.py:293
↓ 8 callersFunction_cfg
(url='', **kwargs)
timm_modified/timm/models/vgg.py:209
↓ 8 callersFunction_cfg
(url='', **kwargs)
timm_modified/timm/models/mvitv2.py:965
↓ 8 callersFunction_cfg
(url='', **kwargs)
timm_modified/timm/models/repghost.py:381
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