vvchernov commented on code in PR #13621:
URL: https://github.com/apache/tvm/pull/13621#discussion_r1057075879
##########
python/tvm/tir/tensor_intrin/x86.py:
##########
@@ -67,8 +68,50 @@ def dot_product_16x4_u8i8i32_vnni(
)
+mem_scope="global"
[email protected]_func
+def dot_product_16x4_u8i8i32_avx512(a: T.handle, b: T.handle, c: T.handle,) ->
None:
+ A = T.match_buffer(a, (4,), "uint8", offset_factor=1, scope=mem_scope)
+ B = T.match_buffer(b, (16, 4), "int8", offset_factor=1, scope=mem_scope)
+ C = T.match_buffer(c, (16,), "int32", offset_factor=1, scope=mem_scope)
Review Comment:
Ok. I had some problems in this part of code and it was try to resolve them
(I used hexagon example). But now the problems were resolved and it can be
returned back. I believe it will be ok.
##########
python/tvm/tir/tensor_intrin/x86.py:
##########
@@ -67,8 +68,50 @@ def dot_product_16x4_u8i8i32_vnni(
)
+mem_scope="global"
[email protected]_func
+def dot_product_16x4_u8i8i32_avx512(a: T.handle, b: T.handle, c: T.handle,) ->
None:
+ A = T.match_buffer(a, (4,), "uint8", offset_factor=1, scope=mem_scope)
+ B = T.match_buffer(b, (16, 4), "int8", offset_factor=1, scope=mem_scope)
+ C = T.match_buffer(c, (16,), "int32", offset_factor=1, scope=mem_scope)
Review Comment:
done
--
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.
To unsubscribe, e-mail: [email protected]
For queries about this service, please contact Infrastructure at:
[email protected]
