test_activations.py 文件源码

def test_softmax():
    '''
    Test using a reference implementation of softmax
    '''
    def softmax(values):
        m = np.max(values)
        e = np.exp(values - m)
        return e / np.sum(e)

    x = K.placeholder(ndim=2)
    f = K.function([x], [activations.softmax(x)])
    test_values = get_standard_values()

    result = f([test_values])[0]
    expected = softmax(test_values)
    assert_allclose(result, expected, rtol=1e-05)