code: # Copyright 2019-2021 Canaan Inc.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  # pylint: disable=invalid-name, unused-argument, import-outside-toplevel
  
  import pytest
  import torch
  from test_runner import OnnxTestRunner
  
  
  def _make_module(shape):
  
      class MatmulModule(torch.nn.Module):
          def __init__(self):
              super(MatmulModule, self).__init__()
              self.y = torch.randn(*shape)
  
          def forward(self, x):
              x = torch.matmul(x, self.y)
  
              return x
  
      return MatmulModule()
  
  
  in_shapes = [
      [[1, 2], [2, 1]],
      [[3, 4], [4, 5]]
  ]
  
  
  @pytest.mark.parametrize('in_shape', in_shapes)
  def test_matmul(in_shape, request):
      module = _make_module(in_shape[1])
  
      runner = OnnxTestRunner(request.node.name)
      model_file = runner.from_torch(module, in_shape[0])
      runner.run(model_file)
  
  
  if __name__ == "__main__":
      pytest.main(['-vv', 'test_matmul.py'])
  
apis: torch.randn torch.matmul