text: """
  Copyright 2020 The OneFlow Authors. 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 unittest
  from collections import OrderedDict
  
  import numpy as np
  from test_util import GenArgList
  
  import oneflow as flow
  import oneflow.unittest
  
  
  def _test_less_equal_normal(test_case, device):
      input1 = flow.Tensor(
          np.random.randn(2, 6, 5, 3), dtype=flow.float32, device=flow.device(device)
      )
      input2 = flow.Tensor(
          np.random.randn(2, 6, 5, 3), dtype=flow.float32, device=flow.device(device)
      )
      of_out = flow.le(input1, input2)
      np_out = np.less_equal(input1.numpy(), input2.numpy())
      test_case.assertTrue(np.array_equal(of_out.numpy(), np_out))
  
  
  def _test_less_equal_symbol(test_case, device):
      input1 = flow.Tensor(
          np.array([1, 1, 4]).astype(np.float32),
          dtype=flow.float32,
          device=flow.device(device),
      )
      input2 = flow.Tensor(
          np.array([1, 2, 3]).astype(np.float32),
          dtype=flow.float32,
          device=flow.device(device),
      )
      of_out = input1 <= input2
      np_out = np.less_equal(input1.numpy(), input2.numpy())
      test_case.assertTrue(np.array_equal(of_out.numpy(), np_out))
  
  
  def _test_less_equal_int_scalar(test_case, device):
      np_arr = np.random.randn(2, 3, 4, 5)
      input1 = flow.Tensor(np_arr, dtype=flow.float32, device=flow.device(device))
      input2 = 1
      of_out = input1 <= input2
      np_out = np.less_equal(np_arr, input2)
      test_case.assertTrue(np.array_equal(of_out.numpy(), np_out))
  
  
  def _test_less_equal_int_tensor_int_scalr(test_case, device):
      np_arr = np.random.randint(2, size=(2, 3, 4, 5))
      input1 = flow.Tensor(np_arr, dtype=flow.int, device=flow.device(device))
      input2 = 1
      of_out = input1 <= input2
      np_out = np.less_equal(np_arr, input2)
      test_case.assertTrue(np.array_equal(of_out.numpy(), np_out))
  
  
  def _test_less_equal_float_scalar(test_case, device):
      np_arr = np.random.randn(3, 2, 5, 7)
      input1 = flow.Tensor(np_arr, dtype=flow.float32, device=flow.device(device))
      input2 = 2.3
      of_out = input1 <= input2
      np_out = np.less_equal(np_arr, input2)
      test_case.assertTrue(np.array_equal(of_out.numpy(), np_out))
  
  
  @flow.unittest.skip_unless_1n1d()
  class TestLessEqual(flow.unittest.TestCase):
      def test_less_equal(test_case):
          arg_dict = OrderedDict()
          arg_dict["test_fun"] = [
              _test_less_equal_normal,
              _test_less_equal_symbol,
              _test_less_equal_int_scalar,
              _test_less_equal_int_tensor_int_scalr,
              _test_less_equal_float_scalar,
          ]
          arg_dict["device"] = ["cpu", "cuda"]
          for arg in GenArgList(arg_dict):
              arg[0](test_case, *arg[1:])
  
  
  if __name__ == "__main__":
      unittest.main()
  