def testComputation(self):
tf.set_random_seed(0)
with self.test_session() as sess:
initializer = snt.nets.noisy_identity_kernel_initializer(2, stddev=1e-20)
x = initializer([3, 3, 4, 8])
x = tf.reduce_sum(x, axis=[3])
x_ = sess.run(x)
# Iterate over elements. After summing over depth, assert that only the
# middle pixel is on.
it = np.nditer(x_, flags=["multi_index"])
while not it.finished:
value, idx = it[0], it.multi_index
(filter_height, filter_width, _) = idx
if filter_height == 1 and filter_width == 1:
self.assertAllClose(value, 1)
else:
self.assertAllClose(value, 0)
it.iternext()
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