code: def __init__(
      self,
      *,
      vectors: int,
      channels: int,
      d_latent: int,
  ):
      super().__init__()
      self.proj = nn.Linear(d_latent, vectors * channels)
      self.norm = nn.LayerNorm(channels)
      self.d_latent = d_latent
      self.vectors = vectors
      self.channels = channels
  
imports: import math
  from dataclasses import dataclass
  from typing import Dict, Optional, Tuple
  import numpy
  import torch
  import torch.nn.functional
  from torch import nn
  from ...configuration_utils import ConfigMixin, register_to_config
  from ...models import ModelMixin
  from ...utils import BaseOutput
  from .camera import create_pan_cameras
label_desc: Use image node_id 1 to create a new ChannelsProj object from inherited base classes: nn with example: obj = ChannelsProj()