class_docstr: Modules and functions related to the
  `torch/quantization` migration to `torch/ao/quantization`.
code: def test_function_import_fake_quantize(self):
      function_list = [
          "_is_per_channel",
          "_is_per_tensor",
          "_is_symmetric_quant",
          "FakeQuantizeBase",
          "FakeQuantize",
          "FixedQParamsFakeQuantize",
          "FusedMovingAvgObsFakeQuantize",
          "default_fake_quant",
          "default_weight_fake_quant",
          "default_fixed_qparams_range_neg1to1_fake_quant",
          "default_fixed_qparams_range_0to1_fake_quant",
          "default_per_channel_weight_fake_quant",
          "default_histogram_fake_quant",
          "default_fused_act_fake_quant",
          "default_fused_wt_fake_quant",
          "default_fused_per_channel_wt_fake_quant",
          "_is_fake_quant_script_module",
          "disable_fake_quant",
          "enable_fake_quant",
          "disable_observer",
          "enable_observer",
      ]
      self._test_function_import("fake_quantize", function_list)
  
file_path: pytorch/test/quantization/ao_migration/test_quantization.py
imports: from .common import AOMigrationTestCase
label_desc: Use image node_id 4 for calling the TestAOMigrationQuantization obj's underlying member method code with example usage: obj.test_function_import_fake_quantize() without return types