code: def test_constructor(self):
      parallel_falcon_transformer_layer = (
          self.parallel_falcon_transformer_layer
      )
      assert isinstance(
          parallel_falcon_transformer_layer, FalconTransformerLayer
      )
      assert parallel_falcon_transformer_layer.layer_number == 1
  
      num_weights = sum(
          [
              p.numel()
              for p in parallel_falcon_transformer_layer.parameters()
          ]
      )
      assert num_weights == 1884
  
imports: import pytest
  import torch
  from nemo.collections.nlp.models.language_modeling.megatron.falcon.falcon_decoder_layer import FalconTransformerLayer
  from nemo.collections.nlp.models.language_modeling.megatron.falcon.falcon_spec import get_falcon_layer_spec
label_desc: Use image node_id 2 for calling the TestParallelFalconTransformerLayer obj's underlying member method code with example usage: obj.test_constructor() without return types