docstr: Tests the migration of the torch.nn.quantized.functional
docstr_tok: ["Tests","the","migration","of","the","torch.nn.quantized.functional"]
code: def test_functional_import(self):
      r"""Tests the migration of the torch.nn.quantized.functional"""
      function_list = [
          "avg_pool2d",
          "avg_pool3d",
          "adaptive_avg_pool2d",
          "adaptive_avg_pool3d",
          "conv1d",
          "conv2d",
          "conv3d",
          "interpolate",
          "linear",
          "max_pool1d",
          "max_pool2d",
          "celu",
          "leaky_relu",
          "hardtanh",
          "hardswish",
          "threshold",
          "elu",
          "hardsigmoid",
          "clamp",
          "upsample",
          "upsample_bilinear",
          "upsample_nearest",
      ]
      self._test_function_import(
          "functional", function_list, base="nn.quantized"
      )
  
imports: from .common import AOMigrationTestCase
label_desc: Use image node_id 1 for calling the TestAOMigrationNNQuantized obj's underlying member method code with example usage: obj.test_functional_import() without return types