def test_one(n, m, as_tensors):
expected = np.eye(n, m)
if as_tensors:
m = constant_op.constant(m)
n = constant_op.constant(n)
s = sparse_ops.sparse_eye(n, m)
d = sparse_ops.sparse_to_dense(s.indices, s.dense_shape, s.values)
self.assertAllEqual(self.evaluate(d), expected)
def test_one(n, m, as_tensors):
expected = np.eye(n, m)
if as_tensors:
m = constant_op.constant(m)
n = constant_op.constant(n)
s = sparse_ops.sparse_eye(n, m)
d = sparse_ops.sparse_to_dense(s.indices, s.dense_shape, s.values)
self.assertAllEqual(self.evaluate(d), expected)
