Mousius commented on a change in pull request #9485:
URL: https://github.com/apache/tvm/pull/9485#discussion_r747345307
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File path: tests/python/unittest/test_tir_transform_lower_warp_memory.py
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@@ -310,11 +311,29 @@ def test_lower_warp_memory_same_thread():
assert "tvm_warp_shuffle" not in fdevice.astext()
[email protected]_cuda
+def test_lower_warp_memory_divide_by_factor():
+ ib = tvm.tir.ir_builder.IRBuilder()
+ bx = te.thread_axis("blockIdx.x")
+ tx = te.thread_axis("threadIdx.x")
+
+ with ib.new_scope():
+ ib.scope_attr(bx, "thread_extent", 32)
+ ib.scope_attr(tx, "thread_extent", 32)
+ t = ib.allocate("float32", 16, name="t", scope="warp")
+ n = ib.allocate("float32", 16, name="n", scope="local")
+ n[0] = t[0]
+
+ stmt = ib.get()
+ func = tvm.tir.PrimFunc([], stmt)
+ func = func.with_attr("from_legacy_te_schedule", True)
+ cuda_target = tvm.target.Target("cuda")
+ mod = tvm.lower(func, name="f")
+ mod = tvm.tir.transform.Apply(lambda f: f.with_attr("target",
cuda_target))(mod)
+ with pytest.raises(tvm.error.TVMError) as cm:
Review comment:
Minor nit: you could do use the `match` parameter instead of an assert
on the `str` here.
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