code: def test_fake_quantize_concat():
      zero = relay.const(0)
      inputs = []
      for i in range(4):
          inputs.append(
              relay.qnn.op.dequantize(
                  relay.var("x%d" % i, shape=[1, 4], dtype="int8"),
                  relay.const(i + 0.5),
                  zero,
              )
          )
      concat = relay.op.concatenate(inputs, axis=1)
      op = relay.qnn.op.quantize(concat, relay.const(3.5), zero)
  
      mod = tvm.IRModule.from_expr(op)
      fake_quantized_op_freqs = (
          relay.analysis.list_fake_quantized_op_freqs(mod)
      )
  
      assert dict(fake_quantized_op_freqs) == {"concatenate": 1}
  
file_path: tvm/tests/python/relay/test_analysis_extract_fake_quantized_ops.py
imports: import tvm
  from tvm import relay
label_desc: Use image node_id 6 for calling a global function with example usage: test_fake_quantize_concat() without return types