quic-sanirudh commented on code in PR #17075:
URL: https://github.com/apache/tvm/pull/17075#discussion_r1635080324
##########
tests/python/relax/test_transform_fuse_tir.py:
##########
@@ -2314,5 +2314,88 @@ def take(
_check(Before, Before)
+def test_fuse_with_axis_separators():
+ @I.ir_module
+ class Before:
+ @T.prim_func(private=True)
+ def add(a: T.handle, b: T.handle, c: T.handle):
+ A = T.match_buffer(a, [T.int64(16), T.int64(32)], "float32",
axis_separators=[1])
+ B = T.match_buffer(b, [T.int64(16), T.int64(32)], "float32",
axis_separators=[1])
+ C = T.match_buffer(c, [T.int64(16), T.int64(32)], "float32",
axis_separators=[1])
+
+ for iters in T.grid(T.int64(16), T.int64(32)):
+ with T.block("compute"):
+ i, j = T.axis.remap("SS", iters)
+ C[i, j] = A[i, j] + B[i, j]
+
+ @R.function(private=True)
+ def fused_function(
+ x: R.Tensor([T.int64(16), T.int64(32)], "float32"),
+ y: R.Tensor([T.int64(16), T.int64(32)], "float32"),
+ z: R.Tensor([T.int64(16), T.int64(32)], "float32"),
+ ) -> R.Tensor([T.int64(16), T.int64(32)], dtype="float32"):
+ R.func_attr({"Primitive": 1})
+ cls = Before
+ with R.dataflow():
+ w = R.call_tir(
+ cls.add, [x, y], out_sinfo=R.Tensor([T.int64(16),
T.int64(32)], "float32")
Review Comment:
I've added the test case to check possible inconsistencies.
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