I want to use from timm.layers.classifier import NormMlpClassifierHead to import NormMlpClassifierHead. However, there is no timm.models. I saw #1648, should use timm.models.layers. But there is no NormMlpClassifierHead in timm.models.la...
I installed timm using pip install timm==0.3.2 suggested by https://github.com/MCG-NJU/MixFormer/blob/main/install_pytorch17.sh. But, when I try to run it, it give me an import error for MLP. Could you please let me know what should I do...
self.attention1 = Token_transformer(dim=in_chans * 7 * 7, in_dim=token_dim, num_heads=1, mlp_ratio=1.0) self.attention2 = Token_transformer(dim=token_dim * 3 * 3, in_dim=token_dim, num_heads=1, mlp_ratio=1.0) self.project = nn.Linear(token_dim * 3 * 3, embed_dim) self...
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...
torchvision.datasetsimportMNISTfromtorchvision.transformsimportToTensorfromtqdmimporttqdm# Define your main model hereclassVeryComplexModel(nn.Module):def__init__(self):super().__init__()self.backbone=timm.create_model("vit_small_patch14_dinov2.lvd142m",pretrained=True)self.clf_layers=nn....