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 os, unittest
  
  import torch
  import torch.cuda
  import tensor_comprehensions as tc
  
  tc.GlobalDebugInit(["--dump_cuda=true", "--debug_tc_mapper=false"])
  
  
  class TestDebugInit(unittest.TestCase):
      def test_debug_init(self):
          lang = """
          def matmul(float(M,N) A, float(N,K) B) -> (output) {
            output(i, j) +=! A(i, kk) * B(kk, j)
          }
          """
          matmul = tc.define(lang, name="matmul")
          mat1, mat2 = torch.randn(3, 4).cuda(), torch.randn(4, 5).cuda()
          out = matmul(mat1, mat2)
  
  
  if __name__ == '__main__':
      unittest.main()
  