code: def _register_quantization_cat():
      dequantize_cat_pattern = CallFunction(
          aten.cat.default,
          ListOf(_raw_dequantize_per_tensor_activation_pattern),
          KeywordArg("dim"),
      )
      _register_quantized_cat_lowering(
          generate_pattern_with_output_quant(dequantize_cat_pattern),
          aten.cat,
      )
  
imports: import copy
  import functools
  import itertools
  import math
  import operator
  from typing import Any, Tuple
  import torch
  from torch._dynamo.utils import counters
  from torch.fx.experimental.symbolic_shapes import has_free_symbols
  from ..lowering import lowerings, require_channels_last
  from ..pattern_matcher import Arg, CallFunction, filter_nodes, KeywordArg, ListOf, Match
  from ..utils import pad_listlike
  from .freezing_patterns import register_freezing_graph_pattern
  from .post_grad import register_lowering_pattern
label_desc: Use image node_id 21 for calling a global function with example usage: _register_quantization_cat() without return types