text: # Licensed to the Apache Software Foundation (ASF) under one
  # or more contributor license agreements.  See the NOTICE file
  # distributed with this work for additional information
  # regarding copyright ownership.  The ASF licenses this file
  # to you 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
  #
  # This file is part of DNN compiler maintained at
  # https://github.com/ai-techsystems/dnnCompiler
  
  import common
  
  import dnnc as dc
  import numpy as np
  import unittest
  
  def temp_flatten(x, shape, axis):
      new_shape = (1, -1) if axis == 0 else (np.prod(shape[0:axis]).astype(int), -1)
      y = np.reshape(x, new_shape)
      return y
  
  class FlattenTest(unittest.TestCase):
      def setUp(self):
          self.len = 24
          self.np_a = np.random.randn(self.len).astype(np.float32)
          self.dc_a = dc.array(list(self.np_a))
  
      def test_Flatten1D (self):
          shape = (1,24)
          axis = 0
          npr = temp_flatten(self.np_a,shape,axis)
          dcr = dc.flatten(self.dc_a,axis)
          np.testing.assert_allclose(npr.flatten(), np.array(dcr.data()).astype(np.float32),
                  rtol=1e-3, atol=1e-3)
          np.testing.assert_equal(npr.shape, dcr.shape())
      
      def test_Flatten2D (self):
          shape = (6,4)
          axis = 1
          np_a = np.reshape(self.np_a, shape)
          dc_a = dc.reshape(self.dc_a, shape)
          npr = temp_flatten(np_a,shape,axis)
          dcr = dc.flatten(dc_a,axis)
          np.testing.assert_allclose(npr.flatten(), np.array(dcr.data()).astype(np.float32),
                  rtol=1e-3, atol=1e-3)
          np.testing.assert_equal(npr.shape, dcr.shape())
  
      def test_Flatten3D (self):
          shape = (2,4,3)
          axis = 2
          np_a = np.reshape(self.np_a, shape)
          dc_a = dc.reshape(self.dc_a, shape)
          npr = temp_flatten(np_a,shape,axis)
          dcr = dc.flatten(dc_a,axis)
          np.testing.assert_allclose(npr.flatten(), np.array(dcr.data()).astype(np.float32),
                  rtol=1e-3, atol=1e-3)
          np.testing.assert_equal(npr.shape, dcr.shape())
      
      def test_Flatten4D (self):
          shape = (2,2,2,3)
          axis = 4
          np_a = np.reshape(self.np_a, shape)
          dc_a = dc.reshape(self.dc_a, shape)
          npr = temp_flatten(np_a,shape,axis)
          dcr = dc.flatten(dc_a,axis)
          np.testing.assert_allclose(npr.flatten(), np.array(dcr.data()).astype(np.float32),
                  rtol=1e-3, atol=1e-3)
          np.testing.assert_equal(npr.shape, dcr.shape())
  
      def tearDown(self):
          return "test finished"
  
  if __name__ == '__main__':
      unittest.main()
  