def test_random_uniform():
minval = -0.05
maxval = 0.05
random_uniform = initializers.get('random_uniform', minval=minval, maxval=maxval, seed=12)
parameters = random_uniform(shape=(2, 3))
assert (parameters.shape == (2, 3)
and np.abs(parameters.min() - minval) <= 0.1 * (maxval - minval)
and np.abs(parameters.max() - maxval) <= 0.1 * (maxval - minval))
def test_random_normal():
mean = 0.
stddev = 0.05
random_normal = initializers.get('random_normal', mean=mean, stddev=stddev, seed=12)
parameters = random_normal(shape=(2, 3))
assert (parameters.shape == (2, 3)
and np.abs(parameters.mean() - mean) <= 3 * stddev
and np.abs(parameters.std() - stddev) <= 3 * stddev)
def test_none():
none = initializers.get(None)
def test_ones():
ones = initializers.get('ones')
parameters = ones((2, 3))
assert (parameters.shape == (2, 3) and parameters.sum() == 2 * 3)
def test_zeros():
zeros = initializers.get('zeros')
parameters = zeros((2, 3))
assert (parameters.shape == (2, 3) and parameters.sum() == 0)