Python grad_scale 예제들

예제 #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

예제 #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

예제 #3

파일: test_base.py 프로젝트: 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

예제 #4

파일: test_base.py 프로젝트: 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