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
예제 #2
0
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
예제 #3
0
    def test_relu(self):
        """
        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

        x = K.placeholder(ndim=2)
        exp = r(x)
        f = K.function([x], [exp])

        test_values = get_standard_values()
        result = f([test_values])[0]

        # because no negatives in test values
        assert_allclose(result, test_values, rtol=1e-05)
예제 #4
0
    def test_relu(self):
        '''
        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

        x = K.placeholder(ndim=2)
        exp = r(x)
        f = K.function([x], [exp])

        test_values = get_standard_values()
        result = f([test_values])[0]

        # because no negatives in test values
        assert_allclose(result, test_values, rtol=1e-05)