class_docstr: A model which contains lazy layers with uninitialized parameters.
class_docstr_tok: ["A","model","which","contains","lazy","layers","with","uninitialized","parameters","."]
code: def __init__(self):
      super().__init__()
      self.layer1 = nn.LazyLinear(5)
      self.layer2 = nn.LazyLinear(2)
  
imports: from collections import OrderedDict
  from typing import Any
  import pytest
  import torch
  import torch.nn
  from lightning.fabric.utilities.imports import _TORCH_GREATER_EQUAL_2_0
  from lightning.pytorch import LightningModule, Trainer
  from lightning.pytorch.demos.boring_classes import BoringModel
  from lightning.pytorch.utilities.model_summary.model_summary import LEFTOVER_PARAMS_NAME, NOT_APPLICABLE, UNKNOWN_SIZE, ModelSummary, summarize
  from tests_pytorch.helpers.advanced_models import ParityModuleRNN
  from tests_pytorch.helpers.runif import RunIf
label_desc: Use image node_id 1 to create a new LazyModel object from inherited base classes: LightningModule with example: obj = LazyModel()