masahi commented on a change in pull request #10455:
URL: https://github.com/apache/tvm/pull/10455#discussion_r822196505
##########
File path: tests/python/unittest/test_auto_scheduler_feature.py
##########
@@ -200,6 +201,35 @@ def test_gpu_feature():
assert fequal(fea_dicts[0]["is_gpu"], 1.0)
[email protected]_func
+def tir_matmul(
+ A: T.Buffer[(128, 128), "float32"],
+ B: T.Buffer[(128, 128), "float32"],
+ C: T.Buffer[(128, 128), "float32"],
+) -> None:
+ T.func_attr({"from_legacy_te_schedule": True, "global_symbol": "main",
"tir.noalias": True})
+ for y in T.serial(128):
+ T.store(C.data, T.ramp(y, 128, 128), T.broadcast(T.float32(0), 128),
T.broadcast(True, 128))
+ for k in T.serial(128):
+ T.store(
+ C.data,
+ T.ramp(y, 128, 128),
+ T.load("float32x128", C.data, T.ramp(y, 128, 128),
T.broadcast(True, 128))
+ + T.load("float32x128", A.data, T.ramp(k, 128, 128),
T.broadcast(True, 128))
+ * T.broadcast(T.load("float32", B.data, y * 128 + k), 128),
+ T.broadcast(True, 128),
+ )
Review comment:
cc @Lunderberg @vinx13 @junrushao1994 on recommendation on using `T.load
/ store` in new tests.
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