MasterJH5574 commented on a change in pull request #10327:
URL: https://github.com/apache/tvm/pull/10327#discussion_r810566267
##########
File path: tests/python/unittest/test_tir_transform_compact_buffer_region.py
##########
@@ -505,6 +505,74 @@ def compacted_opaque_access_annotated_func(a: T.handle) ->
None:
T.store(C.data, i, T.load("float32", B.data, i))
[email protected]_func
+def sparse_read_cache(
+ A_data: T.Buffer[(819,), "float32"],
+ B: T.Buffer[(128,), "float32"],
+ A_indptr: T.Buffer[(129,), "int32"],
+ A_indices: T.Buffer[(819,), "int32"],
+) -> None:
+ for i in T.serial(128):
+ with T.block("rowsum_outer"):
+ T.reads(
+ A_indptr[i],
+ A_indptr[i + 1],
+ A_data[A_indptr[i] + 0 : A_indptr[i] + (A_indptr[i + 1] -
A_indptr[i])],
Review comment:
Due to some parser issue we're not allowed to simplify the expression
for now:
```
error: Unsupported index type, expected int or tvm.tir.PrimExpr, but got
<class 'tvm.script.tir.node.BufferSlice'>
--> tensorir.py:431:44
|
431 | T.reads(A_indptr[vi : vi + 1], A_data[A_indptr[vi]:
A_indptr[vi + 1]])
|
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
note: run with `TVM_BACKTRACE=1` environment variable to display a backtrace.
```
I suppose this is some bug that can be easily fixed, though I didn't get
enough time to take a deeper look into the parser.
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