junrushao1994 commented on code in PR #11532:
URL: https://github.com/apache/tvm/pull/11532#discussion_r887406995
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tests/python/unittest/test_tir_transform_flatten_buffer.py:
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@@ -268,6 +268,33 @@ def annotated_loops(a: T.handle) -> None:
A[i] = 0.0
[email protected]_func
+def boolean_handling_before(a: T.Buffer[10, "bool"], b: T.Buffer[10, "bool"])
-> None:
+ for i0 in T.serial(10):
+ with T.block("b"):
+ T.reads(a[i0])
+ T.writes(b[i0])
+ b[i0] = a[i0]
+
+
[email protected]_func
+def boolean_handling_after(a: T.Buffer[10, "int8"], b: T.Buffer[10, "int8"])
-> None:
+ T.preflattened_buffer(a, [10], dtype="bool", data=a.data)
+ T.preflattened_buffer(b, [10], dtype="bool", data=b.data)
+ # body
+ for i0 in T.serial(10):
+ b[i0] = T.cast(T.cast(a[i0], "bool"), "int8")
+
+
[email protected]_func
+def boolean_handle_after(a: T.Buffer[10, "int8"], b: T.Buffer[10, "int8"]) ->
None:
+ T.preflattened_buffer(a, [10], dtype="bool", data=a.data)
+ T.preflattened_buffer(b, [10], dtype="bool", data=b.data)
+ # body
+ for i0 in T.serial(10):
+ b[i0] = T.cast(T.cast(a[i0], "bool"), "int8")
Review Comment:
@Lunderberg The casting here is a bit duplicated. Do you think we should
simplify it with some ad-hoc logic? Perhaps should leave for future
optimization if later we found it a bottleneck?
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