4. 完整代码 import torch import torch.nn as nn from timm.layers import DropPath, trunc_normal_ import numpy as np from transformer_block import get_sinusoid_encoding """ T2T module = [T2T Process] + [T2T Transformer] + [T2T Process] + [T2T Transformer] + [T2T Process] T2T Process = ...
import torch.nn as nn from timm.data import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD from timm.models.helpers import build_model_with_cfg from timm.models.layers import DropPath, trunc_normal_, to_2tuple from timm.models.resnet import resnet26d, resnet50d ...
import torch import torch.nn as nn import torch.nn.functional as F from torch import Tensor from timm.models.layers import DropPath, Mlp from .position_embedding import build_position_encoding def remap_uv(feat: Tensor, uv_coord: Tensor) -> Tensor: """ args: feat; [N, C, H, W] uv...