[GitHub] [tvm] AndrewZhaoLuo commented on a diff in pull request #12445: [MetaSchedule] Add logging of usage of tensor intrinsics

[GitBox <gi...@apache.org>]

AndrewZhaoLuo commented on code in PR #12445:
URL: https://github.com/apache/tvm/pull/12445#discussion_r946175474


##########
src/meta_schedule/schedule_rule/multi_level_tiling.h:
##########
@@ -186,6 +186,8 @@ class MultiLevelTilingNode : public ScheduleRuleNode {
   int thread_warp_size_;
   /*! \brief The maximum number of threads to be used size of a thread warp */
   int max_threads_per_block_;
+  /*! \brief The logging function */
+  PackedFunc logging_func;

Review Comment:
   Where is this set? (If at all yet)



##########
src/meta_schedule/schedule_rule/multi_level_tiling_with_intrin.cc:
##########
@@ -55,8 +55,10 @@ class MultiLevelTilingWithIntrinNode : public MultiLevelTilingNode {
     auto res = MultiLevelTilingNode::Apply(sch->Copy(), block_rv);
 
     if (res.empty()) {
+      TVM_PY_LOG(INFO, logging_func) << "The workload cannot be tensorized.";

Review Comment:
   What is the difference between hitting this and `!CheckAutoTensorizeApplicable`? 



##########
src/meta_schedule/schedule_rule/multi_level_tiling_with_intrin.cc:
##########
@@ -55,8 +55,10 @@ class MultiLevelTilingWithIntrinNode : public MultiLevelTilingNode {
     auto res = MultiLevelTilingNode::Apply(sch->Copy(), block_rv);
 
     if (res.empty()) {
+      TVM_PY_LOG(INFO, logging_func) << "The workload cannot be tensorized.";

Review Comment:
   What is the difference between hitting this and `!CheckAutoTensorizeApplicable` branch? 



-- 
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: commits-unsubscribe@tvm.apache.org

For queries about this service, please contact Infrastructure at:
users@infra.apache.org