Functions — github.com/InternRobotics/G2VLM

CodeHub MCPcopy Create free account

hub / github.com/InternRobotics/G2VLM / functions

Functions2,118 in github.com/InternRobotics/G2VLM

⨍ Functions 2,118◇ Types & classes 338↳ Endpoints 3

Method__getitem__

eval_code/recons/models/pi3/models/dinov2/utils/utils.py:83

Qwen2RMSNorm is equivalent to T5LayerNorm

modeling/qwen2/modeling_qwen2.py:46

( self, dim=None, max_position_embeddings=2048, base=10000, device=Non

modeling/qwen2/modeling_qwen2.py:67

(self, config: Qwen2Config, layer_idx: Optional[int] = None)

modeling/qwen2/modeling_qwen2.py:225

(self, *args, **kwargs)

modeling/qwen2/modeling_qwen2.py:334

(self, config: Qwen2Config, layer_idx: int)

modeling/qwen2/modeling_qwen2.py:450

(self, config: Qwen2Config)

modeling/qwen2/modeling_qwen2.py:664

modeling/qwen2/modeling_qwen2.py:817

( self, vocab_file=None, merges_file=None, tokenizer_file=None, unk_to

modeling/qwen2/tokenization_qwen2_fast.py:72

( self, vocab_size=151936, hidden_size=4096, intermediate_size=22016,

modeling/qwen2/configuration_qwen2.py:121

( self, vocab_file, merges_file, errors="replace", unk_token="<|endoft

modeling/qwen2/tokenization_qwen2.py:126

( self, do_resize: bool = True, resample: PILImageResampling = PILImageResampling.BICU

modeling/qwen2vl/image_processing_qwen2_vl.py:122

(self, dim: int, theta: float = 10000.0)

modeling/qwen2vl/modeling_qwen2_vl_vit.py:84

( self, patch_size: int = 14, temporal_patch_size: int = 2, in_channels: int =

modeling/qwen2vl/modeling_qwen2_vl_vit.py:96

(self, dim: int, context_dim: int, spatial_merge_size: int = 2)

modeling/qwen2vl/modeling_qwen2_vl_vit.py:124

(self, dim: int, num_heads: int = 16)

modeling/qwen2vl/modeling_qwen2_vl_vit.py:151

(self, dim: int, num_heads: int = 16)

modeling/qwen2vl/modeling_qwen2_vl_vit.py:201

(self, dim: int, num_heads: int = 16)

modeling/qwen2vl/modeling_qwen2_vl_vit.py:242

(self, config, attn_implementation: str = "sdpa")

modeling/qwen2vl/modeling_qwen2_vl_vit.py:292

modeling/qwen2vl/modeling_qwen2_vl_vit.py:368

(self, image_processor=None, tokenizer=None, chat_template=None, **kwargs)

modeling/qwen2vl/processing_qwen2_vl.py:63

(self, **kwargs: Unpack[Qwen2VLFastImageProcessorInitKwargs])

modeling/qwen2vl/image_processing_qwen2_vl_fast.py:113

( self, depth=32, embed_dim=1280, hidden_size=3584, hidden_act="quick_

modeling/qwen2vl/configuration_qwen2_vl.py:29

(self, config: Qwen2VLConfig, device=None)

modeling/qwen2vl/modeling_qwen2_vl.py:104

(self, dim: int, theta: float = 10000.0)

modeling/qwen2vl/modeling_qwen2_vl.py:250

( self, patch_size: int = 14, temporal_patch_size: int = 2, in_channels: int =

modeling/qwen2vl/modeling_qwen2_vl.py:262

(self, dim: int, context_dim: int, spatial_merge_size: int = 2)

modeling/qwen2vl/modeling_qwen2_vl.py:290

(self, dim: int, hidden_dim: int, hidden_act: str)

modeling/qwen2vl/modeling_qwen2_vl.py:306

(self, dim: int, num_heads: int = 16)

modeling/qwen2vl/modeling_qwen2_vl.py:317

(self, dim: int, num_heads: int = 16)

modeling/qwen2vl/modeling_qwen2_vl.py:367

(self, dim: int, num_heads: int = 16)

modeling/qwen2vl/modeling_qwen2_vl.py:408

(self, config, attn_implementation: str = "sdpa")

modeling/qwen2vl/modeling_qwen2_vl.py:458

Qwen2RMSNorm is equivalent to T5LayerNorm

modeling/qwen2vl/modeling_qwen2_vl.py:488

(self, config: Qwen2VLConfig, layer_idx: Optional[int] = None)

modeling/qwen2vl/modeling_qwen2_vl.py:543

(self, *args, **kwargs)

modeling/qwen2vl/modeling_qwen2_vl.py:656

(self, config: Qwen2VLConfig, layer_idx: int)

modeling/qwen2vl/modeling_qwen2_vl.py:860

modeling/qwen2vl/modeling_qwen2_vl.py:991

(self, config: Qwen2VLConfig)

modeling/qwen2vl/modeling_qwen2_vl.py:1080

modeling/qwen2vl/modeling_qwen2_vl.py:1453

( self, patch_size: int = 16, hidden_size: int = 384, intermediate_size: int =

modeling/dinov3/configuration_dinov3_vit.py:109

(self, config: DINOv3ViTConfig)

modeling/dinov3/dinov3_model.py:41

(self, config: DINOv3ViTConfig)

modeling/dinov3/dinov3_model.py:132

(self, config: DINOv3ViTConfig)

modeling/dinov3/dinov3_model.py:254

modeling/dinov3/dinov3_model.py:321

(self, drop_prob: Optional[float] = None)

modeling/dinov3/dinov3_model.py:347

modeling/dinov3/dinov3_model.py:373

(self, config: DINOv3ViTConfig)

modeling/dinov3/dinov3_model.py:391

(self, config: DINOv3ViTConfig)

modeling/dinov3/dinov3_model.py:492

(self, config: DINOv3ViTConfig)

modeling/dinov3/modeling_dinov3_vit.py:45

(self, config: DINOv3ViTConfig)

modeling/dinov3/modeling_dinov3_vit.py:136

(self, config: DINOv3ViTConfig)

modeling/dinov3/modeling_dinov3_vit.py:258

modeling/dinov3/modeling_dinov3_vit.py:320

(self, drop_prob: Optional[float] = None)

modeling/dinov3/modeling_dinov3_vit.py:346

modeling/dinov3/modeling_dinov3_vit.py:372

(self, config: DINOv3ViTConfig)

modeling/dinov3/modeling_dinov3_vit.py:390

(self, config: DINOv3ViTConfig)

modeling/dinov3/modeling_dinov3_vit.py:483

modeling/dinov2_with_registers/modeling_dinov2_with_registers.py:49

(self, config: Dinov2WithRegistersConfig)

modeling/dinov2_with_registers/modeling_dinov2_with_registers.py:80

(self, config: Dinov2WithRegistersConfig)

modeling/dinov2_with_registers/modeling_dinov2_with_registers.py:205

(self, config: Dinov2WithRegistersConfig)

modeling/dinov2_with_registers/modeling_dinov2_with_registers.py:272

(self, config: Dinov2WithRegistersConfig)

modeling/dinov2_with_registers/modeling_dinov2_with_registers.py:285

modeling/dinov2_with_registers/modeling_dinov2_with_registers.py:324

(self, drop_prob: Optional[float] = None)

modeling/dinov2_with_registers/modeling_dinov2_with_registers.py:355

modeling/dinov2_with_registers/modeling_dinov2_with_registers.py:386

(self, config: Dinov2WithRegistersConfig)

modeling/dinov2_with_registers/modeling_dinov2_with_registers.py:405

(self, config: Dinov2WithRegistersConfig)

modeling/dinov2_with_registers/modeling_dinov2_with_registers.py:456

(self, config: Dinov2WithRegistersConfig)

modeling/dinov2_with_registers/modeling_dinov2_with_registers.py:552

(self, config: Dinov2WithRegistersConfig)

modeling/dinov2_with_registers/modeling_dinov2_with_registers.py:638

modeling/dinov2_with_registers/modeling_dinov2_with_registers.py:731

(self, config: Dinov2WithRegistersConfig)

modeling/dinov2_with_registers/modular_dinov2_with_registers.py:182

modeling/dinov2_with_registers/modular_dinov2_with_registers.py:391

( self, hidden_size=768, num_hidden_layers=12, num_attention_heads=12,

modeling/dinov2_with_registers/configuration_dinov2_with_registers.py:107

(self, hidden_size, frequency_embedding_size=256)

modeling/g2vlm/modeling_utils.py:78

(self, max_num_patch_per_side, hidden_size)

modeling/g2vlm/modeling_utils.py:128

(self, max_num_patch_per_side, hidden_size)

modeling/g2vlm/modeling_utils.py:147

( self, visual_und=True, visual_recon=True, joint_train_recon=False, p

modeling/g2vlm/g2vlm.py:80

(self, *args, **kwargs)

modeling/g2vlm/dinov2_model.py:43

(self, config: Dinov2WithRegistersConfig)

modeling/g2vlm/dinov2_model.py:93

(self, config: Dinov2WithRegistersConfig)

modeling/g2vlm/dinov2_model.py:105

modeling/g2vlm/dinov2_model.py:145

(self, drop_prob: Optional[float] = None)

modeling/g2vlm/dinov2_model.py:176

modeling/g2vlm/dinov2_model.py:206

(self, config: Dinov2WithRegistersConfig)

modeling/g2vlm/dinov2_model.py:224

(self, config: Dinov2WithRegistersConfig)

modeling/g2vlm/dinov2_model.py:276

(self, config: Dinov2WithRegistersConfig)

modeling/g2vlm/dinov2_model.py:302

( self, vocab_size=152064, hidden_size=8192, intermediate_size=29568,

modeling/g2vlm/qwen2vl.py:175

(self, num_layers)

modeling/g2vlm/qwen2vl.py:238

(self, config, layer_idx: Optional[int] = None)

modeling/g2vlm/qwen2vl.py:275

(self, config, layer_idx: Optional[int] = None)

modeling/g2vlm/qwen2vl.py:420

(self, config, layer_idx: Optional[int] = None)

modeling/g2vlm/qwen2vl.py:668

( self, config, layer_idx: Optional[int] = None, attn_module: Optional[Qwen

modeling/g2vlm/qwen2vl.py:752

(self, config, layer_idx: Optional[int] = None)

modeling/g2vlm/qwen2vl.py:914

modeling/g2vlm/qwen2vl.py:1023

modeling/g2vlm/qwen2vl.py:1343

modeling/pi3/utils/cropping.py:25

( self, pos_type='rope100', decoder_size='large', load_vggt=Tr

modeling/pi3/models/pi3_training.py:27

(self, local_align_res=4096, train_conf=False, expected_dist_thresh=0.02)

modeling/pi3/models/pi3_loss.py:44

(self, alpha=100)

modeling/pi3/models/pi3_loss.py:195

( self, pos_type='rope100', decoder_size='large', )

modeling/pi3/models/pi3.py:17

( self, dim: int, num_heads: int, mlp_ratio: float = 4.0, qkv_bias: bo

modeling/pi3/models/layers/block.py:260

← previous next →801–900 of 2,118, ranked by callers