code: def get_falcon_layer_spec() -> ModuleSpec:
      if not HAVE_MEGATRON_CORE:
          raise ImportError(
              "megatron-core was not found. Please see the NeMo README for installation instructions: https://github.com/NVIDIA/NeMo#megatron-gpt."
          )
      falcon_submodules = TransformerLayerSubmodules(
          input_layernorm=TENorm,
          self_attention=ModuleSpec(
              module=SelfAttention,
              params={"attn_mask_type": AttnMaskType.causal},
              submodules=SelfAttentionSubmodules(
                  linear_qkv=TEColumnParallelLinear,
                  core_attention=TEDotProductAttention,
                  linear_proj=TERowParallelLinear,
              ),
          ),
          self_attn_bda=get_bias_dropout_add,
          pre_mlp_layernorm=TENorm,
          mlp=ModuleSpec(
              module=MLP,
              submodules=MLPSubmodules(
                  linear_fc1=TEColumnParallelLinear,
                  linear_fc2=TERowParallelLinear,
              ),
          ),
          mlp_bda=get_bias_dropout_add,
      )
      # Old falcon(prior to 7b/40b/180b) uses post_self_attn_layernorm that is not included in TransformerLayerModules.
      falcon_submodules.post_self_attn_layernorm = TENorm
      return ModuleSpec(
          module=FalconTransformerLayer, submodules=falcon_submodules
      )
  
label_desc: Use image node_id 1 for calling a global function with example usage: get_falcon_layer_spec() and returns: ModuleSpec