old_contents: # Copyright (c) 2017 Sony Corporation. 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 pytest
  import numpy as np
  
  
  import nnabla.initializer as I
  
  
  @pytest.mark.parametrize('rng', [None, np.random.RandomState(313)])
  @pytest.mark.parametrize('shape', [
      (10,),
      (10, 8,),
      (2, 3, 4, 2, 3, 4),
  ])
  @pytest.mark.parametrize('initializer, opts, condition', [
      (I.NormalInitializer, dict(sigma=1.0), lambda x: True),
      (I.UniformInitializer, dict(lim=(-1, 10)),
       lambda x: np.all(x >= -1) and np.all(x < 10)),
      (I.ConstantInitializer, dict(value=-2), lambda x: np.all(x == -2)),
  ])
  def test_initializer_execution(shape, initializer, opts, condition, rng):
      try:
          ini = initializer(rng=rng, **opts)
      except:
          ini = initializer(**opts)
      x = ini(shape)
      assert condition(x)
  
      # Check difference of initialization with the same shape using different initializer
      ini0 = initializer(**opts)
      ini1 = initializer(**opts)
      x = ini0(shape)
      y = ini1(shape)
      if not isinstance(ini0, I.ConstantInitializer):
          assert np.any(x != y)
  
new_contents: # Copyright (c) 2017 Sony Corporation. 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 pytest
  import numpy as np
  
  
  import nnabla.initializer as I
  
  from functools import reduce
  from operator import mul
  
  
  def orthogonal_test(x):
      rows, cols = x.shape[0], int(np.prod(x.shape[1:]))
      flattened = x.view().reshape((rows, cols))
      if rows > cols:
          target = np.matmul(flattened.T, flattened)
          return np.allclose(target, np.eye(cols), atol=1e-6)
      else:
          target = np.matmul(flattened, flattened.T)
          return np.allclose(target, np.eye(rows), atol=1e-6)
  
  @pytest.mark.parametrize('rng', [None, np.random.RandomState(313)])
  @pytest.mark.parametrize('shape', [
      (10,),
      (10, 8,),
      (2, 3, 4, 2, 3, 4),
  ])
  @pytest.mark.parametrize('initializer, opts, condition', [
      (I.NormalInitializer, dict(sigma=1.0), lambda x: True),
      (I.UniformInitializer, dict(lim=(-1, 10)),
       lambda x: np.all(x >= -1) and np.all(x < 10)),
      (I.ConstantInitializer, dict(value=-2), lambda x: np.all(x == -2)),
      (I.OrthogonalInitializer, dict(gain=1.0), orthogonal_test)
  ])
  def test_initializer_execution(shape, initializer, opts, condition, rng):
      try:
          ini = initializer(rng=rng, **opts)
      except:
          ini = initializer(**opts)
      x = ini(shape)
      assert condition(x)
  
      # Check difference of initialization with the same shape using different initializer
      ini0 = initializer(**opts)
      ini1 = initializer(**opts)
      x = ini0(shape)
      y = ini1(shape)
      if not isinstance(ini0, I.ConstantInitializer):
          assert np.any(x != y)
  
subject: Add OrthogonalInitializer test