d663fda862df1c831e7f93f1e3feb2e189a1b9ef,tests/keras/layers/test_recurrent.py,,test_regularizer,#Any#,125

Before Change

    layer.build(shape)
    output = layer(K.variable(np.ones(shape)))
    K.eval(output)
    if layer_class == recurrent.SimpleRNN:
        assert len(layer.losses) == 3
    if layer_class == recurrent.GRU:
        assert len(layer.losses) == 9
    if layer_class == recurrent.LSTM:
        assert len(layer.losses) == 12

After Change

                        bias_regularizer="l2")
    layer.build((None, None, 2))
    assert len(layer.losses) == 3
    layer(K.variable(np.ones((2, 3, 2))))
    assert len(layer.losses) == 3

Instances