leeexyz commented on a change in pull request #7602:
URL: https://github.com/apache/tvm/pull/7602#discussion_r589219271
##########
File path: tests/python/unittest/test_te_schedule_ops.py
##########
@@ -110,19 +110,53 @@ def argmax_init(idx_typ, val_typ):
def test_auto_inline():
- m = te.var("m")
- n = te.var("n")
- A = te.placeholder((m, n), name="A")
- B = te.placeholder((m, n), name="B")
- C = te.placeholder((m, n), name="C")
- T1 = te.compute((m, n), lambda i, j: A(i, j) * B(i, j), name="T1")
- T2 = te.compute((m, n), lambda i, j: T1(i, j) + C(i, j), name="T2")
-
- s = te.create_schedule(T2.op)
- tvm.te.schedule.AutoInlineElemWise(s)
- s = s.normalize()
- bounds = tvm.te.schedule.InferBound(s)
- stmt = tvm.te.schedule.ScheduleOps(s, bounds)
+ def elemwise():
+ m = te.var("m")
+ n = te.var("n")
+ A = te.placeholder((m, n), name="A")
+ B = te.placeholder((m, n), name="B")
+ C = te.placeholder((m, n), name="C")
+ T1 = te.compute((m, n), lambda i, j: A(i, j) * B(i, j), name="T1")
+ T2 = te.compute((m, n), lambda i, j: T1(i, j) + C(i, j), name="T2")
+
+ return te.create_schedule(T2.op), T1
+
+ def broadcast():
+ m = te.var("m")
+ n = te.var("n")
+ A = te.placeholder((1,), name="A")
+ B = te.placeholder((m, n), name="B")
+ C = te.placeholder((m, n), name="C")
+ T1 = te.compute((m, n), lambda i, j: A(0) * B(i, j), name="T1",
tag="broadcast")
+ T2 = te.compute((m, n), lambda i, j: T1(i, j) + C(i, j), name="T2")
+
+ return te.create_schedule(T2.op), T1
+
+ def injective():
+ m = te.var("m")
+ n = te.var("n")
+ A = te.placeholder((m,), name="A")
+ B = te.placeholder((m, n), name="B")
+ C = te.placeholder((m, n), name="C")
+ T1 = te.compute((m, n), lambda i, j: A(i) * B(i, j), name="T1")
+ T2 = te.compute((m, n), lambda i, j: T1(i, j) + C(i, j), name="T2")
+
+ return te.create_schedule(T2.op), T1
+
+ def check_auto_inline(schedule_func, auto_inline_func):
+ s, T1 = schedule_func()
+ # before auto inline the attach type is AttachType.kGroupRoot
+ assert s[T1].attach_type == 1
+ auto_inline_func(s)
+ # after auto inline the attach type is AttachType.kInline
+ assert s[T1].attach_type == 2
+ s = s.normalize()
+ bounds = tvm.te.schedule.InferBound(s)
+ stmt = tvm.te.schedule.ScheduleOps(s, bounds)
Review comment:
> Is there any way to check `stmt`?
Yes, check **IR** structure is an option, like if the inlined
ProducerRealizeNode is still there. But is it a bit redundant? Cause we already
checked the **attach_type**.
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
[email protected]
