test_activations.py 文件源码

def test_relu():
    '''
    Relu implementation doesn't depend on the value being
    a theano variable. Testing ints, floats and theano tensors.
    '''

    from keras.activations import relu as r

    assert r(5) == 5
    assert r(-5) == 0
    assert r(-0.1) == 0
    assert r(0.1) == 0.1

    x = T.vector()
    exp = r(x)
    f = theano.function([x], exp)

    test_values = get_standard_values()
    result = f(test_values)

    list_assert_equal(result, test_values) # because no negatives in test values