echuraev commented on code in PR #12926:
URL: https://github.com/apache/tvm/pull/12926#discussion_r982600356
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tests/python/unittest/test_transform_layout.py:
##########
@@ -575,5 +575,18 @@ def test_size_one_buffer(shape, transform):
s[B].transform_layout(transform)
+def test_non_divisible_transform_raises_error():
+ A = te.placeholder([1, 3, 8, 8])
+ B = te.compute(A.shape, lambda *indices: A[indices])
+ s = te.create_schedule(B.op)
+
+ transform = lambda n, c, h, w: [n, c // 4, h, w, c % 4]
+ # Error occurs here, because the transformation would introduce
+ # padding. Padded transforms are supported in TIR-based
+ # schedules.
+ with pytest.raises(tvm.TVMError):
+ s[B].transform_layout(transform)
+
+
Review Comment:
nit: Probably we can joint this test case with `test_size_one_buffer`? Just
extend its testing parameters
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