# Copyright 2018 Alibaba Group. All Rights Reserved.
#
# 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 xdl
import unittest
import numpy as np

class TestConstant(unittest.TestCase):
  def test_constant(self):
    a = xdl.convert_to_tensor(1)
    b = xdl.convert_to_tensor([10, 20])
    c = xdl.convert_to_tensor(np.array([30, 40]))
    a, b, c = xdl.execute([a, b, c])
    self.assertTrue(a == 1)
    self.assertTrue((b == np.array([10, 20])).all())
    self.assertTrue((c == np.array([30, 40])).all())

  def test_constant_gpu(self):
      with xdl.device("GPU"):
          a = xdl.convert_to_tensor(1)
          b = xdl.convert_to_tensor([10, 20])
          c = xdl.convert_to_tensor(np.array([30, 40]))
          a, b, c = xdl.execute([a, b, c])
          self.assertTrue(a == 1)
          self.assertTrue((b == np.array([10, 20])).all())
          self.assertTrue((c == np.array([30, 40])).all())

def suite():
  return unittest.TestLoader().loadTestsFromTestCase(TestConstant)

if __name__ == '__main__':
  unittest.TextTestRunner().run(suite())
