Python grad_scaleの例

コード例 #1

 def test_it(self, grad_scale, layer):
     layer2 = grad_scale(layer, 0.33)
     assert layer2 is layer
     for param in layer.get_params(trainable=True):
         np.testing.assert_almost_equal(param.tag.grad_scale, 0.33)
     for param in layer.get_params(trainable=False):
         assert hasattr(param.tag, 'grad_scale') is False

コード例 #2

 def test_it(self, grad_scale, layer):
     layer2 = grad_scale(layer, 0.33)
     assert layer2 is layer
     for param in layer.get_params(trainable=True):
         assert param.tag.grad_scale == 0.33
     for param in layer.get_params(trainable=False):
         assert hasattr(param.tag, 'grad_scale') is False

コード例 #3

ファイル: test_base.py プロジェクト: dnouri/nolearn

 def test_it(self, grad_scale, layer):
     layer2 = grad_scale(layer, 0.33)
     assert layer2 is layer
     for param in layer.get_params(trainable=True):
         np.testing.assert_almost_equal(param.tag.grad_scale, 0.33)
     for param in layer.get_params(trainable=False):
         assert hasattr(param.tag, 'grad_scale') is False

コード例 #4

ファイル: test_base.py プロジェクト: alito/nolearn

 def test_it(self, grad_scale, layer):
     layer2 = grad_scale(layer, 0.33)
     assert layer2 is layer
     for param in layer.get_params(trainable=True):
         assert param.tag.grad_scale == 0.33
     for param in layer.get_params(trainable=False):
         assert hasattr(param.tag, 'grad_scale') is False