code: def test_reshape(self):
      class QReshapeModule(torch.nn.Module):
          def __init__(self):
              super().__init__()
              self.quant1 = torch.ao.quantization.QuantStub()
              self.dequant = torch.ao.quantization.DeQuantStub()
  
          def forward(self, x):
              res = self.quant1(x).reshape((1, 2, 1, 12))
              return self.dequant(res)
  
      x = np.random.rand(1, 2, 3, 4).astype("float32")
      self.generic_test(
          QReshapeModule(), (x,), input_names=["x"], decimal=5
      )
  
imports: import io
  import caffe2.python.onnx.backend
  import numpy
  import onnx
  import pytorch_test_common
  import torch.ao.nn.quantized
  import torch.nn
  import torch.onnx
  from torch.testing._internal import common_utils
label_desc: Use image node_id 10 for calling the TestQuantizedOps obj's underlying member method code with example usage: obj.test_reshape() and returns: self