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Add unit test: testNoEmptyRowsAndUnordered

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Add unit test for `SparseFillEmptyRows`: When the sp_input is unordered and all rows of the sp_input are not empty, the output of `tf.sparse.fill_empty_rows` is still ordered.
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aaa.jq 2020-07-07 10:42:21 +08:00 committed by GitHub
parent 277cb88cf6
commit c79fbeed1a
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tensorflow/python/kernel_tests/sparse_ops_test.py
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@ -585,6 +585,22 @@ class SparseFillEmptyRowsTest(test_util.TensorFlowTestCase):
self.assertAllEqual(output.dense_shape, [2, 6])
self.assertAllEqual(empty_row_indicator_out, np.zeros(2).astype(np.bool))
def testNoEmptyRowsAndUnordered(self):
with test_util.force_cpu():
sp_input = sparse_tensor.SparseTensor(
indices=np.array([[1, 2], [1, 3], [0, 1], [0, 3]]),
values=np.array([1, 3, 2, 4]),
dense_shape=np.array([2, 5]))
sp_output, empty_row_indicator = (sparse_ops.sparse_fill_empty_rows(
sp_input, -1))
output, empty_row_indicator_out = self.evaluate(
[sp_output, empty_row_indicator])
self.assertAllEqual(output.indices, [[0, 1], [0, 3], [1, 2], [1, 3]])
self.assertAllEqual(output.values, [2, 4, 1, 3])
self.assertAllEqual(output.dense_shape, [2, 5])
self.assertAllEqual(empty_row_indicator_out, np.zeros(2).astype(np.bool))
class SparseAddTest(test_util.TensorFlowTestCase):