def test_scatter_to_2d_not_sorted(self):
with tf.Graph().as_default():
segments = [0, 0, 1, 0, 2, 2]
tensor = [0, 0, 1, 0, 2, 2]
pad_value = -1
expected = [[0, 0, 0], [1, -1, -1], [2, 2, -1]]
with tf.compat.v1.Session() as sess:
tensor_2d = sess.run(utils.scatter_to_2d(tensor, segments, pad_value))
self.assertAllEqual(tensor_2d, expected)
def test_scatter_to_2d_with_smaller_output_shape(self):
with tf.Graph().as_default():
segments = [0, 0, 0, 1, 2, 2]
tensor = [1, 0, 0, 1, 2, 2]
pad_value = -1
smaller_output_shape = [2, 2]
smaller_expected = [
[1, 0],
[1, -1],
]
with tf.compat.v1.Session() as sess:
tensor_2d = sess.run(
utils.scatter_to_2d(tensor, segments, pad_value,
smaller_output_shape))
self.assertAllEqual(tensor_2d, smaller_expected)
