text: # Copyright (c) 2017-present, Facebook, 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.
  ##############################################################################
  
  import tensor_comprehensions as tc
  
  import torch
  import torch.cuda
  import unittest
  
  
  class TestTranspose(unittest.TestCase):
  
      def test_transpose(self):
          LANG="""
          def transpose(float(N, C, H, W) I) -> (O) {
            O(c, n, w, h) = I(n, c, h, w)
          }
          """
          N, C, H, W = 32, 512, 56, 56
          transpose = tc.define(LANG, name="transpose")
          I = torch.randn(N, C, H, W).cuda()
          out = transpose(I)
  
  
  if __name__ == '__main__':
      unittest.main()
  