code: def forward(self, blocks, x):
      h = x
      for l, (layer, block) in enumerate(zip(self.layers, blocks)):
          h = layer(block, h)
          if l != len(self.layers) - 1:
              h = F.relu(h)
              h = self.dropout(h)
      return h
  
imports: import glob
  import os
  import dgl
  import dgl.nn.pytorch
  import torch
  import torch.nn
  import torch.nn.functional
  import torch.optim
  import torchmetrics.functional
  import tqdm
  from ogb.nodeproppred import DglNodePropPredDataset
  from pytorch_lightning import LightningDataModule, LightningModule, Trainer
  from pytorch_lightning.callbacks import ModelCheckpoint
  from torchmetrics import Accuracy
label_desc: Use image node_id 2 for calling the SAGE obj's underlying member method code with example usage: obj.forward(blocks, x) and returns: h