[LANG] Add tile operation #5

ZihengJiang · 2016-12-11T19:05:10Z

No description provided.

Restores the tests which were lost in the repo port, and makes it possible for conv2d to typecheck, as well as some integration tests. * Add back python tests that were missing from the repo move (history lost, sorry) * Ensure shape evaluator doesn't trip up on type vars or type ids * Add tests for shape evaluator when faced with type var or type id * Use Strings as key for Attributes, repair tests and uses * Add preliminary information for conv2d operator * Add test of attr propagation * Ensure attributes hash by string value rather than string pointer identity (tests still failing though, idk why) * Adjust shape equality checks to use ordinary visitor, as nested type id information was not transferring * Repair integration test by using std::unordered_map for attrs, add cases * Add regression test for alpha-eq comparison of type IDs across nested shapes (was losing the type id equality map in alpha_eq * Add more integration test variants * Correct import names in tests * Add clarifying comment to typechecker * Missing paren in operators.py * Correct python source directory for mypy

* group conv pass all * pass mobilenet

* dense * add biforst; remove comments * address comment

fix lint bitpack strategy bitserial_dense (apache#6) * update strategy * address comments fix a few topi test Dense strategy (apache#5) * dense * add biforst; remove comments * address comment Refactor x86 conv2d_NCHWc (apache#4) * Refactor x86 conv2d * Add x86 depthwise_conv2d_NCHWc * Add back topi x86 conv2d_nchw * Merge x86 conv2d_nchw and conv2d_NCHWc * Minor fix for x86 conv2d fix more strategy Add x86 conv2d_NCHWc_int8 strategy (apache#8) * Add x86 conv2d_NCHWc_int8 strategy * Remove contrib_conv2d_nchwc_int8 * Fix generic conv2d_NCHWc for int8 * Fix topi arm_cpu conv2d_NCHWc_int8 update x86 conv2d enable specify relay ops to be tuned for autotvm add cuda conv2d strategy add conv2d strategy for rocm add conv2d strategy for hls add conv2d strategy for arm cpu add conv2d strategy for mali add conv2d strategy for bifrost add conv2d strategy for intel graphics clean up and fix lint remove template keys from autotvm remove 2 in the func name address comments fix

* relay op strategy fix lint bitpack strategy bitserial_dense (#6) * update strategy * address comments fix a few topi test Dense strategy (#5) * dense * add biforst; remove comments * address comment Refactor x86 conv2d_NCHWc (#4) * Refactor x86 conv2d * Add x86 depthwise_conv2d_NCHWc * Add back topi x86 conv2d_nchw * Merge x86 conv2d_nchw and conv2d_NCHWc * Minor fix for x86 conv2d fix more strategy Add x86 conv2d_NCHWc_int8 strategy (#8) * Add x86 conv2d_NCHWc_int8 strategy * Remove contrib_conv2d_nchwc_int8 * Fix generic conv2d_NCHWc for int8 * Fix topi arm_cpu conv2d_NCHWc_int8 update x86 conv2d enable specify relay ops to be tuned for autotvm add cuda conv2d strategy add conv2d strategy for rocm add conv2d strategy for hls add conv2d strategy for arm cpu add conv2d strategy for mali add conv2d strategy for bifrost add conv2d strategy for intel graphics clean up and fix lint remove template keys from autotvm remove 2 in the func name address comments fix * fix bugs * lint * address comments * add name to op implement * Modify topi tests (#9) * Add pooling, reorg, softmax and vision * Add lrn * fix topi test * fix more topi test * lint * address comments * x * fix more tests & bugs * Modify more tests (#10) * Modify tests for bitserial_conv2d, bitserial_dense, bitserial_conv2d_rasp and bnn * Minor fix * More minor fix * fix more test * try to update vta using strategy * fix cpptest * x * fix rebase err * Fix two tests (#11) * change autotvm log format * lint * minor fix * try fix vta test * fix rebase err * tweak * tmp hack for vta pass * fix tutorial * fix * fix more tutorials * fix vta tutorial * minor * address comments * fix * address comments * fix cpptest * fix docs * change data structure name and api * address comments * lint * fix rebase err * updates * fix winograd test * fix doc * rebase * upgrade tophub version number * fix bug * re-enable vta tsim test after tophub is upgraded * fix vta test to use the correct args so the config can be found in tophub Co-authored-by: Yao Wang <kevinthesunwy@gmail.com>

* relay op strategy fix lint bitpack strategy bitserial_dense (apache#6) * update strategy * address comments fix a few topi test Dense strategy (apache#5) * dense * add biforst; remove comments * address comment Refactor x86 conv2d_NCHWc (#4) * Refactor x86 conv2d * Add x86 depthwise_conv2d_NCHWc * Add back topi x86 conv2d_nchw * Merge x86 conv2d_nchw and conv2d_NCHWc * Minor fix for x86 conv2d fix more strategy Add x86 conv2d_NCHWc_int8 strategy (apache#8) * Add x86 conv2d_NCHWc_int8 strategy * Remove contrib_conv2d_nchwc_int8 * Fix generic conv2d_NCHWc for int8 * Fix topi arm_cpu conv2d_NCHWc_int8 update x86 conv2d enable specify relay ops to be tuned for autotvm add cuda conv2d strategy add conv2d strategy for rocm add conv2d strategy for hls add conv2d strategy for arm cpu add conv2d strategy for mali add conv2d strategy for bifrost add conv2d strategy for intel graphics clean up and fix lint remove template keys from autotvm remove 2 in the func name address comments fix * fix bugs * lint * address comments * add name to op implement * Modify topi tests (apache#9) * Add pooling, reorg, softmax and vision * Add lrn * fix topi test * fix more topi test * lint * address comments * x * fix more tests & bugs * Modify more tests (apache#10) * Modify tests for bitserial_conv2d, bitserial_dense, bitserial_conv2d_rasp and bnn * Minor fix * More minor fix * fix more test * try to update vta using strategy * fix cpptest * x * fix rebase err * Fix two tests (apache#11) * change autotvm log format * lint * minor fix * try fix vta test * fix rebase err * tweak * tmp hack for vta pass * fix tutorial * fix * fix more tutorials * fix vta tutorial * minor * address comments * fix * address comments * fix cpptest * fix docs * change data structure name and api * address comments * lint * fix rebase err * updates * fix winograd test * fix doc * rebase * upgrade tophub version number * fix bug * re-enable vta tsim test after tophub is upgraded * fix vta test to use the correct args so the config can be found in tophub Co-authored-by: Yao Wang <kevinthesunwy@gmail.com>

support output tensors as function args, multiple functions

* relay op strategy fix lint bitpack strategy bitserial_dense (apache#6) * update strategy * address comments fix a few topi test Dense strategy (apache#5) * dense * add biforst; remove comments * address comment Refactor x86 conv2d_NCHWc (apache#4) * Refactor x86 conv2d * Add x86 depthwise_conv2d_NCHWc * Add back topi x86 conv2d_nchw * Merge x86 conv2d_nchw and conv2d_NCHWc * Minor fix for x86 conv2d fix more strategy Add x86 conv2d_NCHWc_int8 strategy (apache#8) * Add x86 conv2d_NCHWc_int8 strategy * Remove contrib_conv2d_nchwc_int8 * Fix generic conv2d_NCHWc for int8 * Fix topi arm_cpu conv2d_NCHWc_int8 update x86 conv2d enable specify relay ops to be tuned for autotvm add cuda conv2d strategy add conv2d strategy for rocm add conv2d strategy for hls add conv2d strategy for arm cpu add conv2d strategy for mali add conv2d strategy for bifrost add conv2d strategy for intel graphics clean up and fix lint remove template keys from autotvm remove 2 in the func name address comments fix * fix bugs * lint * address comments * add name to op implement * Modify topi tests (apache#9) * Add pooling, reorg, softmax and vision * Add lrn * fix topi test * fix more topi test * lint * address comments * x * fix more tests & bugs * Modify more tests (apache#10) * Modify tests for bitserial_conv2d, bitserial_dense, bitserial_conv2d_rasp and bnn * Minor fix * More minor fix * fix more test * try to update vta using strategy * fix cpptest * x * fix rebase err * Fix two tests (apache#11) * change autotvm log format * lint * minor fix * try fix vta test * fix rebase err * tweak * tmp hack for vta pass * fix tutorial * fix * fix more tutorials * fix vta tutorial * minor * address comments * fix * address comments * fix cpptest * fix docs * change data structure name and api * address comments * lint * fix rebase err * updates * fix winograd test * fix doc * rebase * upgrade tophub version number * fix bug * re-enable vta tsim test after tophub is upgraded * fix vta test to use the correct args so the config can be found in tophub Co-authored-by: Yao Wang <kevinthesunwy@gmail.com>

* Add feature * Add cost_model, meta_tile_rewrite_policy * Add MetaTileRewritePolicy basic UT

…generating (#5962) * Code migration Start (#1) * Init commit: Code migration Start * Add loop_state.cc/h * Add ComputeDAG basic test * Split transform_step out & Update more UTs (#3) * Split transform_step out * Update GetProducers & GetConsumers * Update UTs * Add UT for CacheReadWrite & Some bug fix * Add search_task, measure and serialization (#4) * Add FollowSplit & FollowFusedSplit tests * Update dag.InferBound & its UT * Add search_task, measure and serialization * Update Serialization UT * Add MetaTileRewritePolicy (#5) * Add feature * Add cost_model, meta_tile_rewrite_policy * Add MetaTileRewritePolicy basic UT * Basic Python API for State (#6) * Add Basic Python API for State * Add UTs for State * Add Python API: Measure & Task (#7) * Update the return value of state operation * Add task * Copy measure.py & utils.py * Fix LocalBuilder * Fix LocalRunner * Add ansor.auto_schedule() API; First AutoSchedule working version(#8) * Add basic Python support for ansor.auto_schedule * Update AutoSchedule API * Bug fix for get the attach point of a fused iter * Update UT after infer bug fix * Bug fix & Add python serialization API (#10) * Delete C++ UT hack since Python is ready * Add ndarray.non_empty * Update Serialization python API * Improve code style, python wrapper and test cases (#11) * Update c++ code style and unit test * Update python State wrapper and test cases * fix unit tests * Add RPCRunner & OpenCL/CUDA test (#12) * Add RPCRunner & OpenCL search test * Add CUDA search test * Add RPCRunner test * rebase to upstream/master * Add Ansor basic tutorial (#13) * Add basic tutorial * migrate feature extraction (#14) * Add XGBModel & RPCRunnerWarpper (#15) * Add XGBModel & RPCRunnerWarpper * Revert "Add Parallel Granularity Mutation" * Migrate workload_registry.py (#16) * add workload registry * update * update * add task scheduler (#17) * Add conv2d cuda tutorial with workload registry (#18) * add tune_test.py (the old tune_wkl.py) (#19) * add tune_test.py (the old tune_wkl.py) * update * fix measure * fix for gpu * Code refine for tune_test.py & Add a pre load callback (#20) * Bug fix for tutorials * Add PreLoadMeasuredStates * Add search_callback support for task tuner * Code refine for tune_test.py * Update * Update * Update * Update * Bug fix * Add python custom sketch rule (#21) * Add custom sketch rule * Bug fix * Ansor Relay Integration (without layout rewrite) (#22) * relay integration * Add tune_op_subgraph.py & Some code clean for tune_network.py (#23) * Add single op tune scripts * Add tune subgraph support * Merge all op & all subgraph to one file * Rename file * add explicit_unroll_max_extent (#25) * Add Index simplification & API update (#26) * Add vectorized cooperative_fetching test * Update math simplify for vectorized CF * File rename * Update tune_network * API update * Update PreLoadMeasuredStates & Some bug fix (#27) * Add a threading wrapper to fix the test bug * Set default TVM_USE_AUTO_SCHEDULER to false * Update PreLoadMeasuredStates callback * Add tensorize step for loop_state (#31) * Add tensorize step * State python api update (#33) * Start to update api * Add compute_dag to state * API update * kernel layout rewrite (#28) * kernel layout rewrite * remove some hacks * add defuse_ops pass and move kernel_layout_rewrite pass after fuse_ops pass * set TVM_RELAY_DISABLE_BUILD_CACHE for task extraction and prepare_layout_rewrite * [cache flush] port cache flush to ansor (#32) * Improve relay integration (#34) * tmp checkpoint * Improve relay integration * Improve relay integration * Fix xgb error & Simplify dispatcher (#35) * Rename "MetaTileRewritePolicy" to "SketchPolicy". (#36) * Rename "MetaTileRewritePolicy" to "SketchPolicy". * Add a new class for auto_unroll_max_step, storage_offset in StageNode * fix tune_op_subgraph.py * rebase * Migrate all node::make to noderef's construct function (#37) * Start to move xxxnode::make to noderef() * Update * Update * Finish transform_step * Finish comute dag & auto schedule * Update * Update * Update * Update * Update * Code refine * Code refine * Code refine * Update * Update * Some lint fix & Recover the double constructor of tvm::PrimExpr (#39) * lint fix * clang-format-fix * pylint fix * Update * Recover the double constructor of tvm::PrimExpr * Fix pylint * pylint fix * pylint fix * Add MutateComputeLocation and MutateParallel in evolutionary search (#40) * Add MutateComputeLocation and MutateParallel in evolutionary search * fix lint * Improve loop state python API (stage_tensors -> stage_ops) (#41) * improve loop state python API (stage_tensors -> stage_ops) * fix * ComputeDAG bug fix & Add Custom TensorCore Matmul Example (#42) * Bug Fix * Sample example of Custom TensorCore Matmul * Rever Commits, Start to build minimum Ansor system * Code clean for minimum Ansor system * Bug fix & Delete AccessAnalyzer * Delete attachmap & Code clean * Doc update Update statenode::stages from vector to Array * Headfile update & Python doc update * clang-format fix * pylint fix * Update * Doc update * Update * Bug fix after code merge to the new master * clang-format fix * Update * Update * Update std::vector to Array; Update verbosity setting; Some commemts addressed * std::vector->Array & std::string->String * Add init_state to ComputeDAG * Update * Update some unordered_map to Map * clang-format fix * Comments addressed Delete ReplayAndInferBound Delete ReplaySteps & InferBoundCommon * Lint fix * Update * Update * Update * Update * Update * Update * Update * Update * Update * Rename ansor namespace to auto_schedule * Update * Rename ThreadPool to ParallelFor * Add parallel_for * Remove ThreadPool * Update python/tvm/auto_schedule/auto_schedule.py * trigger CI Co-authored-by: Lianmin Zheng <lianminzheng@gmail.com> Co-authored-by: Minmin Sun (孙敏敏) <minmin.smm@alibaba-inc.com> Co-authored-by: Zhao Wu <zhaowu@apache.org>

…generating (apache#5962) * Code migration Start (apache#1) * Init commit: Code migration Start * Add loop_state.cc/h * Add ComputeDAG basic test * Split transform_step out & Update more UTs (apache#3) * Split transform_step out * Update GetProducers & GetConsumers * Update UTs * Add UT for CacheReadWrite & Some bug fix * Add search_task, measure and serialization (apache#4) * Add FollowSplit & FollowFusedSplit tests * Update dag.InferBound & its UT * Add search_task, measure and serialization * Update Serialization UT * Add MetaTileRewritePolicy (apache#5) * Add feature * Add cost_model, meta_tile_rewrite_policy * Add MetaTileRewritePolicy basic UT * Basic Python API for State (apache#6) * Add Basic Python API for State * Add UTs for State * Add Python API: Measure & Task (apache#7) * Update the return value of state operation * Add task * Copy measure.py & utils.py * Fix LocalBuilder * Fix LocalRunner * Add ansor.auto_schedule() API; First AutoSchedule working version(apache#8) * Add basic Python support for ansor.auto_schedule * Update AutoSchedule API * Bug fix for get the attach point of a fused iter * Update UT after infer bug fix * Bug fix & Add python serialization API (apache#10) * Delete C++ UT hack since Python is ready * Add ndarray.non_empty * Update Serialization python API * Improve code style, python wrapper and test cases (apache#11) * Update c++ code style and unit test * Update python State wrapper and test cases * fix unit tests * Add RPCRunner & OpenCL/CUDA test (apache#12) * Add RPCRunner & OpenCL search test * Add CUDA search test * Add RPCRunner test * rebase to upstream/master * Add Ansor basic tutorial (apache#13) * Add basic tutorial * migrate feature extraction (apache#14) * Add XGBModel & RPCRunnerWarpper (apache#15) * Add XGBModel & RPCRunnerWarpper * Revert "Add Parallel Granularity Mutation" * Migrate workload_registry.py (apache#16) * add workload registry * update * update * add task scheduler (apache#17) * Add conv2d cuda tutorial with workload registry (apache#18) * add tune_test.py (the old tune_wkl.py) (apache#19) * add tune_test.py (the old tune_wkl.py) * update * fix measure * fix for gpu * Code refine for tune_test.py & Add a pre load callback (apache#20) * Bug fix for tutorials * Add PreLoadMeasuredStates * Add search_callback support for task tuner * Code refine for tune_test.py * Update * Update * Update * Update * Bug fix * Add python custom sketch rule (apache#21) * Add custom sketch rule * Bug fix * Ansor Relay Integration (without layout rewrite) (apache#22) * relay integration * Add tune_op_subgraph.py & Some code clean for tune_network.py (apache#23) * Add single op tune scripts * Add tune subgraph support * Merge all op & all subgraph to one file * Rename file * add explicit_unroll_max_extent (apache#25) * Add Index simplification & API update (apache#26) * Add vectorized cooperative_fetching test * Update math simplify for vectorized CF * File rename * Update tune_network * API update * Update PreLoadMeasuredStates & Some bug fix (apache#27) * Add a threading wrapper to fix the test bug * Set default TVM_USE_AUTO_SCHEDULER to false * Update PreLoadMeasuredStates callback * Add tensorize step for loop_state (apache#31) * Add tensorize step * State python api update (apache#33) * Start to update api * Add compute_dag to state * API update * kernel layout rewrite (apache#28) * kernel layout rewrite * remove some hacks * add defuse_ops pass and move kernel_layout_rewrite pass after fuse_ops pass * set TVM_RELAY_DISABLE_BUILD_CACHE for task extraction and prepare_layout_rewrite * [cache flush] port cache flush to ansor (apache#32) * Improve relay integration (apache#34) * tmp checkpoint * Improve relay integration * Improve relay integration * Fix xgb error & Simplify dispatcher (apache#35) * Rename "MetaTileRewritePolicy" to "SketchPolicy". (apache#36) * Rename "MetaTileRewritePolicy" to "SketchPolicy". * Add a new class for auto_unroll_max_step, storage_offset in StageNode * fix tune_op_subgraph.py * rebase * Migrate all node::make to noderef's construct function (apache#37) * Start to move xxxnode::make to noderef() * Update * Update * Finish transform_step * Finish comute dag & auto schedule * Update * Update * Update * Update * Update * Code refine * Code refine * Code refine * Update * Update * Some lint fix & Recover the double constructor of tvm::PrimExpr (apache#39) * lint fix * clang-format-fix * pylint fix * Update * Recover the double constructor of tvm::PrimExpr * Fix pylint * pylint fix * pylint fix * Add MutateComputeLocation and MutateParallel in evolutionary search (apache#40) * Add MutateComputeLocation and MutateParallel in evolutionary search * fix lint * Improve loop state python API (stage_tensors -> stage_ops) (apache#41) * improve loop state python API (stage_tensors -> stage_ops) * fix * ComputeDAG bug fix & Add Custom TensorCore Matmul Example (apache#42) * Bug Fix * Sample example of Custom TensorCore Matmul * Rever Commits, Start to build minimum Ansor system * Code clean for minimum Ansor system * Bug fix & Delete AccessAnalyzer * Delete attachmap & Code clean * Doc update Update statenode::stages from vector to Array * Headfile update & Python doc update * clang-format fix * pylint fix * Update * Doc update * Update * Bug fix after code merge to the new master * clang-format fix * Update * Update * Update std::vector to Array; Update verbosity setting; Some commemts addressed * std::vector->Array & std::string->String * Add init_state to ComputeDAG * Update * Update some unordered_map to Map * clang-format fix * Comments addressed Delete ReplayAndInferBound Delete ReplaySteps & InferBoundCommon * Lint fix * Update * Update * Update * Update * Update * Update * Update * Update * Update * Rename ansor namespace to auto_schedule * Update * Rename ThreadPool to ParallelFor * Add parallel_for * Remove ThreadPool * Update python/tvm/auto_schedule/auto_schedule.py * trigger CI Co-authored-by: Lianmin Zheng <lianminzheng@gmail.com> Co-authored-by: Minmin Sun (孙敏敏) <minmin.smm@alibaba-inc.com> Co-authored-by: Zhao Wu <zhaowu@apache.org>

* InferType fix * Skip annotation passes for non-main funcs * Test * Let and IF node handlin Co-authored-by: Rohan Mukherjee <rohan.mukherjii@gmail.com>

[Meta Schedule][M3c] Schedule Rules, Mutator & Postprocs (apache#485) [Meta Schedule][M3c] PostOrderApply (apache#486) Fix Post Order Apply (apache#490) [MetaSchedule] Relay Integration (apache#489) [M3c][Meta Schedule] Add Trace Correctness Test for PostOrderApply (apache#492) Fix replay trace. (apache#493) [M3c][Meta Schedule] Implement the Replay Func class. (apache#495) [PR] Test script for meta-schedule task extraction. Interface to load… (apache#494) [Meta Schedule Refactor] Get child blocks (apache#500) Read-at && Write-at (apache#497) [M3c][Meta Schedule] Measure Callbacks (apache#498) [Bug] Fix Infinite Loop Caused When Calling Methods Not Overrided In PyClass (apache#496) [MetaSchedule] Sample-Perfect-Tile (apache#501) [MetaSchedule] TE Workloads (apache#502) [TensorIR] GetProducer, GetConsumer (apache#506) [MetaScheduleRefactor] Annotate&Unannotate (apache#505) [MetaSchedule] Multi-Level-Tiling & Auto-Inline (apache#503) [Tests] Add unittests for auto-inline and multi-level-tiling (apache#508) [Meta Schedule] Minor Fixes (apache#507) [MetaSchedule] Rewrite Cooperative-Fetching / Unbound-Block / Reduction-Block (apache#509) [MetaSchedule] Rewrite Parallel-Vectorize-Unroll / Verify-GPU / Disallow-Dynamic-Loops (apache#499) [Meta Schedule] Add Helper Function & Minor Modification (apache#512) [MetaSchedule] Test for Rewrite Parallel-Vectorize-Unroll (apache#513) [Meta Schedule] Feature Extractor & Cost Model (apache#510) Blockize & Tensorize (apache#514) Layout Rewriting: Suggest-Index-Map (apache#520) [MetaSchedule] Parallel-Vectorize-Unroll & Random-Compute-Location (apache#516) [Meta Schedule] Per-Store-Feature (apache#521) Add traced schedule for blockize & tensorize (apache#526) [Meta Schedule] Add XGBoost Model & Random Model (apache#519) User-Interface: Tune-TIR (apache#525) User-Interface: Tune-TE (apache#527) [Minor] More logging on python (apache#528) Get CUDA tuning working (apache#529) [MetaSchedule] TensorRT BYOC (apache#518) [BugFix] LocalBuilder API (apache#531) [Meta Schedule] Add Cost Model Update Measure Callback (apache#530) [Bugfix] BuilderInput with default params (apache#532) [MetaSchedule] Mutator-Tile-Size, Mutate-Parallel, Mutate-Unroll (apache#534) [Meta Schedule] Evolutionary Search (apache#522) [BugFix] Remove duplicated definition of MakeMultinomialSampler (apache#535) [Meta Schedule] Fix some bugs (apache#537) Initiate Experiments for CPU Performance Alignment with Ansor (apache#538) [Meta Schedule] Tweak experiment scripts (apache#539) [Meta Schedule] Initiate experiments on CUDA (apache#540) [TIR][Schedule] Buffer transform (apache#523) Auto Tensor Core (apache#524) Working on Evo Search (apache#542) [Meta Schedule] Add Replay Tuning Interface (apache#543) Evolutionary Search on CPU (apache#544) Misc improvement over the error message (apache#545) [TIR][Schedule] Software pipelining (apache#533) [Meta Schedule Refactor] fixing unit tests (apache#547) [MetaSchedule] Mutator-Compute-Location (apache#548) Misc Improvement of Evolutionary Search (apache#549) Hotfix for software pipeline (apache#552) Misc Improvement (apache#550) [Cherry-Pick][TensorIR] Primitive "SetScope" (apache#9738) (apache#555) Rule RFactor (apache#551) [MemHammer] Rewrite Rules (apache#554) [MetaSchedule] Schedule Rule: Cross-Thread Reduction (apache#556) [MetaSchedule] Performance Alignment - NRM and SFM (CUDA) (apache#559) [MetaSchedule] Perf Alignment - NRM on CUDA (apache#560) [TIR] Reorder the block iters of the blocks generated by RFactor (apache#561) Removing 2 unit tests for software pipelining (apache#562) [MemHammer] Lower Pass + Unittests (apache#557) Perf Align: Remove Auto-inline before Multi-level-tiling (apache#564) Fix Sketch Generation Unittests (apache#565) speed up VerifyGpuCode (apache#568) [Performance Align] fixing codegen problems (apache#569) [Meta schedule] improve search space (apache#1) Hot fix for bound predicate (apache#3) [Meta Schedule] Update Tune Relay (apache#4) [Performance Align] fixing codegen problems (apache#5) [PerfAlign] NRM & SFM on Raspi Aligned (apache#6) [BugFix] Apply bound predicate directly to loops when possible (apache#12) [BugFix] Fix CrossThreadReduction on CUDA (apache#13) [MetaSchedule] Enable BertTuning with MetaScheduler (apache#11) [Minor][MemHammer] Minor tweaks in code review (apache#14) [Meta Schedule] Add customizable search space to PostOrderApply. (apache#16) Fix cooperative fetching (apache#17) Fixes for codegen (apache#18) [Hotfix] A unittest (apache#19) Fix for GRP sketch gen (apache#21) Add threadIdx filtering in Multi-Level-Tiling and Verify-GPU-Code (apache#20) [BugFix][TIR] Fix cross-thread reduction when single reduction loop with predicate (apache#10016) (apache#22) [MemHammer][Refactor] Code Review (apache#15) [Meta Schedule] Add Winograd Test for Customizable Search Space (apache#24) Co-authored-by: Siyuan Feng <Hzfengsy@sjtu.edu.cn> Co-authored-by: Bohan Hou <32121147+spectrometerHBH@users.noreply.github.com> Co-authored-by: Hongyi Jin <3231950289@qq.com> Co-authored-by: Ruihang Lai <lairuihangdongdong@qq.com> Co-authored-by: Junru Shao <junrushao1994@gmail.com> Co-authored-by: Wuwei Lin <wuwei@apache.org> Co-authored-by: Sunghyun Park <49998730+sunggg@users.noreply.github.com> Co-authored-by: Xiyou Zhou <xiyou@octoml.ai>

[Meta Schedule][M3c] Schedule Rules, Mutator & Postprocs (apache#485) [Meta Schedule][M3c] PostOrderApply (apache#486) Fix Post Order Apply (apache#490) [MetaSchedule] Relay Integration (apache#489) [M3c][Meta Schedule] Add Trace Correctness Test for PostOrderApply (apache#492) Fix replay trace. (apache#493) [M3c][Meta Schedule] Implement the Replay Func class. (apache#495) [PR] Test script for meta-schedule task extraction. Interface to load… (apache#494) [Meta Schedule Refactor] Get child blocks (apache#500) Read-at && Write-at (apache#497) [M3c][Meta Schedule] Measure Callbacks (apache#498) [Bug] Fix Infinite Loop Caused When Calling Methods Not Overrided In PyClass (apache#496) [MetaSchedule] Sample-Perfect-Tile (apache#501) [MetaSchedule] TE Workloads (apache#502) [TensorIR] GetProducer, GetConsumer (apache#506) [MetaScheduleRefactor] Annotate&Unannotate (apache#505) [MetaSchedule] Multi-Level-Tiling & Auto-Inline (apache#503) [Tests] Add unittests for auto-inline and multi-level-tiling (apache#508) [Meta Schedule] Minor Fixes (apache#507) [MetaSchedule] Rewrite Cooperative-Fetching / Unbound-Block / Reduction-Block (apache#509) [MetaSchedule] Rewrite Parallel-Vectorize-Unroll / Verify-GPU / Disallow-Dynamic-Loops (apache#499) [Meta Schedule] Add Helper Function & Minor Modification (apache#512) [MetaSchedule] Test for Rewrite Parallel-Vectorize-Unroll (apache#513) [Meta Schedule] Feature Extractor & Cost Model (apache#510) Blockize & Tensorize (apache#514) Layout Rewriting: Suggest-Index-Map (apache#520) [MetaSchedule] Parallel-Vectorize-Unroll & Random-Compute-Location (apache#516) [Meta Schedule] Per-Store-Feature (apache#521) Add traced schedule for blockize & tensorize (apache#526) [Meta Schedule] Add XGBoost Model & Random Model (apache#519) User-Interface: Tune-TIR (apache#525) User-Interface: Tune-TE (apache#527) [Minor] More logging on python (apache#528) Get CUDA tuning working (apache#529) [MetaSchedule] TensorRT BYOC (apache#518) [BugFix] LocalBuilder API (apache#531) [Meta Schedule] Add Cost Model Update Measure Callback (apache#530) [Bugfix] BuilderInput with default params (apache#532) [MetaSchedule] Mutator-Tile-Size, Mutate-Parallel, Mutate-Unroll (apache#534) [Meta Schedule] Evolutionary Search (apache#522) [BugFix] Remove duplicated definition of MakeMultinomialSampler (apache#535) [Meta Schedule] Fix some bugs (apache#537) Initiate Experiments for CPU Performance Alignment with Ansor (apache#538) [Meta Schedule] Tweak experiment scripts (apache#539) [Meta Schedule] Initiate experiments on CUDA (apache#540) [TIR][Schedule] Buffer transform (apache#523) Auto Tensor Core (apache#524) Working on Evo Search (apache#542) [Meta Schedule] Add Replay Tuning Interface (apache#543) Evolutionary Search on CPU (apache#544) Misc improvement over the error message (apache#545) [TIR][Schedule] Software pipelining (apache#533) [Meta Schedule Refactor] fixing unit tests (apache#547) [MetaSchedule] Mutator-Compute-Location (apache#548) Misc Improvement of Evolutionary Search (apache#549) Hotfix for software pipeline (apache#552) Misc Improvement (apache#550) [Cherry-Pick][TensorIR] Primitive "SetScope" (apache#9738) (apache#555) Rule RFactor (apache#551) [MemHammer] Rewrite Rules (apache#554) [MetaSchedule] Schedule Rule: Cross-Thread Reduction (apache#556) [MetaSchedule] Performance Alignment - NRM and SFM (CUDA) (apache#559) [MetaSchedule] Perf Alignment - NRM on CUDA (apache#560) [TIR] Reorder the block iters of the blocks generated by RFactor (apache#561) Removing 2 unit tests for software pipelining (apache#562) [MemHammer] Lower Pass + Unittests (apache#557) Perf Align: Remove Auto-inline before Multi-level-tiling (apache#564) Fix Sketch Generation Unittests (apache#565) speed up VerifyGpuCode (apache#568) [Performance Align] fixing codegen problems (apache#569) [Meta schedule] improve search space (#1) Hot fix for bound predicate (apache#3) [Meta Schedule] Update Tune Relay (apache#4) [Performance Align] fixing codegen problems (apache#5) [PerfAlign] NRM & SFM on Raspi Aligned (apache#6) [BugFix] Apply bound predicate directly to loops when possible (apache#12) [BugFix] Fix CrossThreadReduction on CUDA (apache#13) [MetaSchedule] Enable BertTuning with MetaScheduler (apache#11) [Minor][MemHammer] Minor tweaks in code review (apache#14) [Meta Schedule] Add customizable search space to PostOrderApply. (apache#16) Fix cooperative fetching (apache#17) Fixes for codegen (apache#18) [Hotfix] A unittest (apache#19) Fix for GRP sketch gen (apache#21) Add threadIdx filtering in Multi-Level-Tiling and Verify-GPU-Code (apache#20) [BugFix][TIR] Fix cross-thread reduction when single reduction loop with predicate (apache#10016) (apache#22) [MemHammer][Refactor] Code Review (apache#15) [Meta Schedule] Add Winograd Test for Customizable Search Space (apache#24) Co-authored-by: Siyuan Feng <Hzfengsy@sjtu.edu.cn> Co-authored-by: Bohan Hou <32121147+spectrometerHBH@users.noreply.github.com> Co-authored-by: Hongyi Jin <3231950289@qq.com> Co-authored-by: Ruihang Lai <lairuihangdongdong@qq.com> Co-authored-by: Junru Shao <junrushao1994@gmail.com> Co-authored-by: Wuwei Lin <wuwei@apache.org> Co-authored-by: Sunghyun Park <49998730+sunggg@users.noreply.github.com> Co-authored-by: Xiyou Zhou <xiyou@octoml.ai> fix some fixes fix test

[Meta Schedule][M3c] Schedule Rules, Mutator & Postprocs (apache#485) [Meta Schedule][M3c] PostOrderApply (apache#486) Fix Post Order Apply (apache#490) [MetaSchedule] Relay Integration (apache#489) [M3c][Meta Schedule] Add Trace Correctness Test for PostOrderApply (apache#492) Fix replay trace. (apache#493) [M3c][Meta Schedule] Implement the Replay Func class. (apache#495) [PR] Test script for meta-schedule task extraction. Interface to load… (apache#494) [Meta Schedule Refactor] Get child blocks (apache#500) Read-at && Write-at (apache#497) [M3c][Meta Schedule] Measure Callbacks (apache#498) [Bug] Fix Infinite Loop Caused When Calling Methods Not Overrided In PyClass (apache#496) [MetaSchedule] Sample-Perfect-Tile (apache#501) [MetaSchedule] TE Workloads (apache#502) [TensorIR] GetProducer, GetConsumer (apache#506) [MetaScheduleRefactor] Annotate&Unannotate (apache#505) [MetaSchedule] Multi-Level-Tiling & Auto-Inline (apache#503) [Tests] Add unittests for auto-inline and multi-level-tiling (apache#508) [Meta Schedule] Minor Fixes (apache#507) [MetaSchedule] Rewrite Cooperative-Fetching / Unbound-Block / Reduction-Block (apache#509) [MetaSchedule] Rewrite Parallel-Vectorize-Unroll / Verify-GPU / Disallow-Dynamic-Loops (apache#499) [Meta Schedule] Add Helper Function & Minor Modification (apache#512) [MetaSchedule] Test for Rewrite Parallel-Vectorize-Unroll (apache#513) [Meta Schedule] Feature Extractor & Cost Model (apache#510) Blockize & Tensorize (apache#514) Layout Rewriting: Suggest-Index-Map (apache#520) [MetaSchedule] Parallel-Vectorize-Unroll & Random-Compute-Location (apache#516) [Meta Schedule] Per-Store-Feature (apache#521) Add traced schedule for blockize & tensorize (apache#526) [Meta Schedule] Add XGBoost Model & Random Model (apache#519) User-Interface: Tune-TIR (apache#525) User-Interface: Tune-TE (apache#527) [Minor] More logging on python (apache#528) Get CUDA tuning working (apache#529) [MetaSchedule] TensorRT BYOC (apache#518) [BugFix] LocalBuilder API (apache#531) [Meta Schedule] Add Cost Model Update Measure Callback (apache#530) [Bugfix] BuilderInput with default params (apache#532) [MetaSchedule] Mutator-Tile-Size, Mutate-Parallel, Mutate-Unroll (apache#534) [Meta Schedule] Evolutionary Search (apache#522) [BugFix] Remove duplicated definition of MakeMultinomialSampler (apache#535) [Meta Schedule] Fix some bugs (apache#537) Initiate Experiments for CPU Performance Alignment with Ansor (apache#538) [Meta Schedule] Tweak experiment scripts (apache#539) [Meta Schedule] Initiate experiments on CUDA (apache#540) [TIR][Schedule] Buffer transform (apache#523) Auto Tensor Core (apache#524) Working on Evo Search (apache#542) [Meta Schedule] Add Replay Tuning Interface (apache#543) Evolutionary Search on CPU (apache#544) Misc improvement over the error message (apache#545) [TIR][Schedule] Software pipelining (apache#533) [Meta Schedule Refactor] fixing unit tests (apache#547) [MetaSchedule] Mutator-Compute-Location (apache#548) Misc Improvement of Evolutionary Search (apache#549) Hotfix for software pipeline (apache#552) Misc Improvement (apache#550) [Cherry-Pick][TensorIR] Primitive "SetScope" (apache#9738) (apache#555) Rule RFactor (apache#551) [MemHammer] Rewrite Rules (apache#554) [MetaSchedule] Schedule Rule: Cross-Thread Reduction (apache#556) [MetaSchedule] Performance Alignment - NRM and SFM (CUDA) (apache#559) [MetaSchedule] Perf Alignment - NRM on CUDA (apache#560) [TIR] Reorder the block iters of the blocks generated by RFactor (apache#561) Removing 2 unit tests for software pipelining (apache#562) [MemHammer] Lower Pass + Unittests (apache#557) Perf Align: Remove Auto-inline before Multi-level-tiling (apache#564) Fix Sketch Generation Unittests (apache#565) speed up VerifyGpuCode (apache#568) [Performance Align] fixing codegen problems (apache#569) [Meta schedule] improve search space (apache#1) Hot fix for bound predicate (apache#3) [Meta Schedule] Update Tune Relay (apache#4) [Performance Align] fixing codegen problems (apache#5) [PerfAlign] NRM & SFM on Raspi Aligned (apache#6) [BugFix] Apply bound predicate directly to loops when possible (apache#12) [BugFix] Fix CrossThreadReduction on CUDA (apache#13) [MetaSchedule] Enable BertTuning with MetaScheduler (apache#11) [Minor][MemHammer] Minor tweaks in code review (apache#14) [Meta Schedule] Add customizable search space to PostOrderApply. (apache#16) Fix cooperative fetching (apache#17) Fixes for codegen (apache#18) [Hotfix] A unittest (apache#19) Fix for GRP sketch gen (apache#21) Add threadIdx filtering in Multi-Level-Tiling and Verify-GPU-Code (apache#20) [BugFix][TIR] Fix cross-thread reduction when single reduction loop with predicate (apache#10016) (apache#22) [MemHammer][Refactor] Code Review (apache#15) [Meta Schedule] Add Winograd Test for Customizable Search Space (apache#24) Import & Cache Mechanism (apache#26) [BugFix] Fix Winograd Test Script (apache#25) Add task extraction & caching (apache#27) A few fixes for task extraction (apache#28) Co-authored-by: Siyuan Feng <Hzfengsy@sjtu.edu.cn> Co-authored-by: Bohan Hou <32121147+spectrometerHBH@users.noreply.github.com> Co-authored-by: Hongyi Jin <3231950289@qq.com> Co-authored-by: Ruihang Lai <lairuihangdongdong@qq.com> Co-authored-by: Junru Shao <junrushao1994@gmail.com> Co-authored-by: Wuwei Lin <wuwei@apache.org> Co-authored-by: Sunghyun Park <49998730+sunggg@users.noreply.github.com> Co-authored-by: Xiyou Zhou <xiyou@octoml.ai>

[Meta Schedule][M3c] Schedule Rules, Mutator & Postprocs (apache#485) [Meta Schedule][M3c] PostOrderApply (apache#486) Fix Post Order Apply (apache#490) [MetaSchedule] Relay Integration (apache#489) [M3c][Meta Schedule] Add Trace Correctness Test for PostOrderApply (apache#492) Fix replay trace. (apache#493) [M3c][Meta Schedule] Implement the Replay Func class. (apache#495) [PR] Test script for meta-schedule task extraction. Interface to load… (apache#494) [Meta Schedule Refactor] Get child blocks (apache#500) Read-at && Write-at (apache#497) [M3c][Meta Schedule] Measure Callbacks (apache#498) [Bug] Fix Infinite Loop Caused When Calling Methods Not Overrided In PyClass (apache#496) [MetaSchedule] Sample-Perfect-Tile (apache#501) [MetaSchedule] TE Workloads (apache#502) [TensorIR] GetProducer, GetConsumer (apache#506) [MetaScheduleRefactor] Annotate&Unannotate (apache#505) [MetaSchedule] Multi-Level-Tiling & Auto-Inline (apache#503) [Tests] Add unittests for auto-inline and multi-level-tiling (apache#508) [Meta Schedule] Minor Fixes (apache#507) [MetaSchedule] Rewrite Cooperative-Fetching / Unbound-Block / Reduction-Block (apache#509) [MetaSchedule] Rewrite Parallel-Vectorize-Unroll / Verify-GPU / Disallow-Dynamic-Loops (apache#499) [Meta Schedule] Add Helper Function & Minor Modification (apache#512) [MetaSchedule] Test for Rewrite Parallel-Vectorize-Unroll (apache#513) [Meta Schedule] Feature Extractor & Cost Model (apache#510) Blockize & Tensorize (apache#514) Layout Rewriting: Suggest-Index-Map (apache#520) [MetaSchedule] Parallel-Vectorize-Unroll & Random-Compute-Location (apache#516) [Meta Schedule] Per-Store-Feature (apache#521) Add traced schedule for blockize & tensorize (apache#526) [Meta Schedule] Add XGBoost Model & Random Model (apache#519) User-Interface: Tune-TIR (apache#525) User-Interface: Tune-TE (apache#527) [Minor] More logging on python (apache#528) Get CUDA tuning working (apache#529) [MetaSchedule] TensorRT BYOC (apache#518) [BugFix] LocalBuilder API (apache#531) [Meta Schedule] Add Cost Model Update Measure Callback (apache#530) [Bugfix] BuilderInput with default params (apache#532) [MetaSchedule] Mutator-Tile-Size, Mutate-Parallel, Mutate-Unroll (apache#534) [Meta Schedule] Evolutionary Search (apache#522) [BugFix] Remove duplicated definition of MakeMultinomialSampler (apache#535) [Meta Schedule] Fix some bugs (apache#537) Initiate Experiments for CPU Performance Alignment with Ansor (apache#538) [Meta Schedule] Tweak experiment scripts (apache#539) [Meta Schedule] Initiate experiments on CUDA (apache#540) [TIR][Schedule] Buffer transform (apache#523) Auto Tensor Core (apache#524) Working on Evo Search (apache#542) [Meta Schedule] Add Replay Tuning Interface (apache#543) Evolutionary Search on CPU (apache#544) Misc improvement over the error message (apache#545) [TIR][Schedule] Software pipelining (apache#533) [Meta Schedule Refactor] fixing unit tests (apache#547) [MetaSchedule] Mutator-Compute-Location (apache#548) Misc Improvement of Evolutionary Search (apache#549) Hotfix for software pipeline (apache#552) Misc Improvement (apache#550) [Cherry-Pick][TensorIR] Primitive "SetScope" (apache#9738) (apache#555) Rule RFactor (apache#551) [MemHammer] Rewrite Rules (apache#554) [MetaSchedule] Schedule Rule: Cross-Thread Reduction (apache#556) [MetaSchedule] Performance Alignment - NRM and SFM (CUDA) (apache#559) [MetaSchedule] Perf Alignment - NRM on CUDA (apache#560) [TIR] Reorder the block iters of the blocks generated by RFactor (apache#561) Removing 2 unit tests for software pipelining (apache#562) [MemHammer] Lower Pass + Unittests (apache#557) Perf Align: Remove Auto-inline before Multi-level-tiling (apache#564) Fix Sketch Generation Unittests (apache#565) speed up VerifyGpuCode (apache#568) [Performance Align] fixing codegen problems (apache#569) [Meta schedule] improve search space (apache#1) Hot fix for bound predicate (apache#3) [Meta Schedule] Update Tune Relay (apache#4) [Performance Align] fixing codegen problems (apache#5) [PerfAlign] NRM & SFM on Raspi Aligned (apache#6) [BugFix] Apply bound predicate directly to loops when possible (apache#12) [BugFix] Fix CrossThreadReduction on CUDA (apache#13) [MetaSchedule] Enable BertTuning with MetaScheduler (apache#11) [Minor][MemHammer] Minor tweaks in code review (apache#14) [Meta Schedule] Add customizable search space to PostOrderApply. (apache#16) Fix cooperative fetching (apache#17) Fixes for codegen (apache#18) [Hotfix] A unittest (apache#19) Fix for GRP sketch gen (apache#21) Add threadIdx filtering in Multi-Level-Tiling and Verify-GPU-Code (apache#20) [BugFix][TIR] Fix cross-thread reduction when single reduction loop with predicate (apache#10016) (apache#22) [MemHammer][Refactor] Code Review (apache#15) [Meta Schedule] Add Winograd Test for Customizable Search Space (apache#24) Co-authored-by: Siyuan Feng <Hzfengsy@sjtu.edu.cn> Co-authored-by: Bohan Hou <32121147+spectrometerHBH@users.noreply.github.com> Co-authored-by: Hongyi Jin <3231950289@qq.com> Co-authored-by: Ruihang Lai <lairuihangdongdong@qq.com> Co-authored-by: Junru Shao <junrushao1994@gmail.com> Co-authored-by: Wuwei Lin <wuwei@apache.org> Co-authored-by: Sunghyun Park <49998730+sunggg@users.noreply.github.com> Co-authored-by: Xiyou Zhou <xiyou@octoml.ai>

[Meta Schedule][M3c] Schedule Rules, Mutator & Postprocs (apache#485) [Meta Schedule][M3c] PostOrderApply (apache#486) Fix Post Order Apply (apache#490) [MetaSchedule] Relay Integration (apache#489) [M3c][Meta Schedule] Add Trace Correctness Test for PostOrderApply (apache#492) Fix replay trace. (apache#493) [M3c][Meta Schedule] Implement the Replay Func class. (apache#495) [PR] Test script for meta-schedule task extraction. Interface to load… (apache#494) [Meta Schedule Refactor] Get child blocks (apache#500) Read-at && Write-at (apache#497) [M3c][Meta Schedule] Measure Callbacks (apache#498) [Bug] Fix Infinite Loop Caused When Calling Methods Not Overrided In PyClass (apache#496) [MetaSchedule] Sample-Perfect-Tile (apache#501) [MetaSchedule] TE Workloads (apache#502) [TensorIR] GetProducer, GetConsumer (apache#506) [MetaScheduleRefactor] Annotate&Unannotate (apache#505) [MetaSchedule] Multi-Level-Tiling & Auto-Inline (apache#503) [Tests] Add unittests for auto-inline and multi-level-tiling (apache#508) [Meta Schedule] Minor Fixes (apache#507) [MetaSchedule] Rewrite Cooperative-Fetching / Unbound-Block / Reduction-Block (apache#509) [MetaSchedule] Rewrite Parallel-Vectorize-Unroll / Verify-GPU / Disallow-Dynamic-Loops (apache#499) [Meta Schedule] Add Helper Function & Minor Modification (apache#512) [MetaSchedule] Test for Rewrite Parallel-Vectorize-Unroll (apache#513) [Meta Schedule] Feature Extractor & Cost Model (apache#510) Blockize & Tensorize (apache#514) Layout Rewriting: Suggest-Index-Map (apache#520) [MetaSchedule] Parallel-Vectorize-Unroll & Random-Compute-Location (apache#516) [Meta Schedule] Per-Store-Feature (apache#521) Add traced schedule for blockize & tensorize (apache#526) [Meta Schedule] Add XGBoost Model & Random Model (apache#519) User-Interface: Tune-TIR (apache#525) User-Interface: Tune-TE (apache#527) [Minor] More logging on python (apache#528) Get CUDA tuning working (apache#529) [MetaSchedule] TensorRT BYOC (apache#518) [BugFix] LocalBuilder API (apache#531) [Meta Schedule] Add Cost Model Update Measure Callback (apache#530) [Bugfix] BuilderInput with default params (apache#532) [MetaSchedule] Mutator-Tile-Size, Mutate-Parallel, Mutate-Unroll (apache#534) [Meta Schedule] Evolutionary Search (apache#522) [BugFix] Remove duplicated definition of MakeMultinomialSampler (apache#535) [Meta Schedule] Fix some bugs (apache#537) Initiate Experiments for CPU Performance Alignment with Ansor (apache#538) [Meta Schedule] Tweak experiment scripts (apache#539) [Meta Schedule] Initiate experiments on CUDA (apache#540) [TIR][Schedule] Buffer transform (apache#523) Auto Tensor Core (apache#524) Working on Evo Search (apache#542) [Meta Schedule] Add Replay Tuning Interface (apache#543) Evolutionary Search on CPU (apache#544) Misc improvement over the error message (apache#545) [TIR][Schedule] Software pipelining (apache#533) [Meta Schedule Refactor] fixing unit tests (apache#547) [MetaSchedule] Mutator-Compute-Location (apache#548) Misc Improvement of Evolutionary Search (apache#549) Hotfix for software pipeline (apache#552) Misc Improvement (apache#550) [Cherry-Pick][TensorIR] Primitive "SetScope" (apache#9738) (apache#555) Rule RFactor (apache#551) [MemHammer] Rewrite Rules (apache#554) [MetaSchedule] Schedule Rule: Cross-Thread Reduction (apache#556) [MetaSchedule] Performance Alignment - NRM and SFM (CUDA) (apache#559) [MetaSchedule] Perf Alignment - NRM on CUDA (apache#560) [TIR] Reorder the block iters of the blocks generated by RFactor (apache#561) Removing 2 unit tests for software pipelining (apache#562) [MemHammer] Lower Pass + Unittests (apache#557) Perf Align: Remove Auto-inline before Multi-level-tiling (apache#564) Fix Sketch Generation Unittests (apache#565) speed up VerifyGpuCode (apache#568) [Performance Align] fixing codegen problems (apache#569) [Meta schedule] improve search space (apache#1) Hot fix for bound predicate (apache#3) [Meta Schedule] Update Tune Relay (apache#4) [Performance Align] fixing codegen problems (apache#5) [PerfAlign] NRM & SFM on Raspi Aligned (apache#6) [BugFix] Apply bound predicate directly to loops when possible (apache#12) [BugFix] Fix CrossThreadReduction on CUDA (apache#13) [MetaSchedule] Enable BertTuning with MetaScheduler (apache#11) [Minor][MemHammer] Minor tweaks in code review (apache#14) [Meta Schedule] Add customizable search space to PostOrderApply. (apache#16) Fix cooperative fetching (apache#17) Fixes for codegen (apache#18) [Hotfix] A unittest (apache#19) Fix for GRP sketch gen (apache#21) Add threadIdx filtering in Multi-Level-Tiling and Verify-GPU-Code (apache#20) [BugFix][TIR] Fix cross-thread reduction when single reduction loop with predicate (apache#10016) (apache#22) [MemHammer][Refactor] Code Review (apache#15) [Meta Schedule] Add Winograd Test for Customizable Search Space (apache#24) Import & Cache Mechanism (apache#26) [BugFix] Fix Winograd Test Script (apache#25) Add task extraction & caching (apache#27) A few fixes for task extraction (apache#28) Co-authored-by: Siyuan Feng <Hzfengsy@sjtu.edu.cn> Co-authored-by: Bohan Hou <32121147+spectrometerHBH@users.noreply.github.com> Co-authored-by: Hongyi Jin <3231950289@qq.com> Co-authored-by: Ruihang Lai <lairuihangdongdong@qq.com> Co-authored-by: Junru Shao <junrushao1994@gmail.com> Co-authored-by: Wuwei Lin <wuwei@apache.org> Co-authored-by: Sunghyun Park <49998730+sunggg@users.noreply.github.com> Co-authored-by: Xiyou Zhou <xiyou@octoml.ai>

[Meta Schedule][M3c] Schedule Rules, Mutator & Postprocs (apache#485) [Meta Schedule][M3c] PostOrderApply (apache#486) Fix Post Order Apply (apache#490) [MetaSchedule] Relay Integration (apache#489) [M3c][Meta Schedule] Add Trace Correctness Test for PostOrderApply (apache#492) Fix replay trace. (apache#493) [M3c][Meta Schedule] Implement the Replay Func class. (apache#495) [PR] Test script for meta-schedule task extraction. Interface to load… (apache#494) [Meta Schedule Refactor] Get child blocks (apache#500) Read-at && Write-at (apache#497) [M3c][Meta Schedule] Measure Callbacks (apache#498) [Bug] Fix Infinite Loop Caused When Calling Methods Not Overrided In PyClass (apache#496) [MetaSchedule] Sample-Perfect-Tile (apache#501) [MetaSchedule] TE Workloads (apache#502) [TensorIR] GetProducer, GetConsumer (apache#506) [MetaScheduleRefactor] Annotate&Unannotate (apache#505) [MetaSchedule] Multi-Level-Tiling & Auto-Inline (apache#503) [Tests] Add unittests for auto-inline and multi-level-tiling (apache#508) [Meta Schedule] Minor Fixes (apache#507) [MetaSchedule] Rewrite Cooperative-Fetching / Unbound-Block / Reduction-Block (apache#509) [MetaSchedule] Rewrite Parallel-Vectorize-Unroll / Verify-GPU / Disallow-Dynamic-Loops (apache#499) [Meta Schedule] Add Helper Function & Minor Modification (apache#512) [MetaSchedule] Test for Rewrite Parallel-Vectorize-Unroll (apache#513) [Meta Schedule] Feature Extractor & Cost Model (apache#510) Blockize & Tensorize (apache#514) Layout Rewriting: Suggest-Index-Map (apache#520) [MetaSchedule] Parallel-Vectorize-Unroll & Random-Compute-Location (apache#516) [Meta Schedule] Per-Store-Feature (apache#521) Add traced schedule for blockize & tensorize (apache#526) [Meta Schedule] Add XGBoost Model & Random Model (apache#519) User-Interface: Tune-TIR (apache#525) User-Interface: Tune-TE (apache#527) [Minor] More logging on python (apache#528) Get CUDA tuning working (apache#529) [MetaSchedule] TensorRT BYOC (apache#518) [BugFix] LocalBuilder API (apache#531) [Meta Schedule] Add Cost Model Update Measure Callback (apache#530) [Bugfix] BuilderInput with default params (apache#532) [MetaSchedule] Mutator-Tile-Size, Mutate-Parallel, Mutate-Unroll (apache#534) [Meta Schedule] Evolutionary Search (apache#522) [BugFix] Remove duplicated definition of MakeMultinomialSampler (apache#535) [Meta Schedule] Fix some bugs (apache#537) Initiate Experiments for CPU Performance Alignment with Ansor (apache#538) [Meta Schedule] Tweak experiment scripts (apache#539) [Meta Schedule] Initiate experiments on CUDA (apache#540) [TIR][Schedule] Buffer transform (apache#523) Auto Tensor Core (apache#524) Working on Evo Search (apache#542) [Meta Schedule] Add Replay Tuning Interface (apache#543) Evolutionary Search on CPU (apache#544) Misc improvement over the error message (apache#545) [TIR][Schedule] Software pipelining (apache#533) [Meta Schedule Refactor] fixing unit tests (apache#547) [MetaSchedule] Mutator-Compute-Location (apache#548) Misc Improvement of Evolutionary Search (apache#549) Hotfix for software pipeline (apache#552) Misc Improvement (apache#550) [Cherry-Pick][TensorIR] Primitive "SetScope" (apache#9738) (apache#555) Rule RFactor (apache#551) [MemHammer] Rewrite Rules (apache#554) [MetaSchedule] Schedule Rule: Cross-Thread Reduction (apache#556) [MetaSchedule] Performance Alignment - NRM and SFM (CUDA) (apache#559) [MetaSchedule] Perf Alignment - NRM on CUDA (apache#560) [TIR] Reorder the block iters of the blocks generated by RFactor (apache#561) Removing 2 unit tests for software pipelining (apache#562) [MemHammer] Lower Pass + Unittests (apache#557) Perf Align: Remove Auto-inline before Multi-level-tiling (apache#564) Fix Sketch Generation Unittests (apache#565) speed up VerifyGpuCode (apache#568) [Performance Align] fixing codegen problems (apache#569) [Meta schedule] improve search space (apache#1) Hot fix for bound predicate (apache#3) [Meta Schedule] Update Tune Relay (apache#4) [Performance Align] fixing codegen problems (apache#5) [PerfAlign] NRM & SFM on Raspi Aligned (apache#6) [BugFix] Apply bound predicate directly to loops when possible (apache#12) [BugFix] Fix CrossThreadReduction on CUDA (apache#13) [MetaSchedule] Enable BertTuning with MetaScheduler (apache#11) [Minor][MemHammer] Minor tweaks in code review (apache#14) [Meta Schedule] Add customizable search space to PostOrderApply. (apache#16) Fix cooperative fetching (apache#17) Fixes for codegen (apache#18) [Hotfix] A unittest (apache#19) Fix for GRP sketch gen (apache#21) Add threadIdx filtering in Multi-Level-Tiling and Verify-GPU-Code (apache#20) [BugFix][TIR] Fix cross-thread reduction when single reduction loop with predicate (apache#10016) (apache#22) [MemHammer][Refactor] Code Review (apache#15) [Meta Schedule] Add Winograd Test for Customizable Search Space (apache#24) Co-authored-by: Siyuan Feng <Hzfengsy@sjtu.edu.cn> Co-authored-by: Bohan Hou <32121147+spectrometerHBH@users.noreply.github.com> Co-authored-by: Hongyi Jin <3231950289@qq.com> Co-authored-by: Ruihang Lai <lairuihangdongdong@qq.com> Co-authored-by: Junru Shao <junrushao1994@gmail.com> Co-authored-by: Wuwei Lin <wuwei@apache.org> Co-authored-by: Sunghyun Park <49998730+sunggg@users.noreply.github.com> Co-authored-by: Xiyou Zhou <xiyou@octoml.ai>

[Meta Schedule][M3c] Schedule Rules, Mutator & Postprocs (apache#485) [Meta Schedule][M3c] PostOrderApply (apache#486) Fix Post Order Apply (apache#490) [MetaSchedule] Relay Integration (apache#489) [M3c][Meta Schedule] Add Trace Correctness Test for PostOrderApply (apache#492) Fix replay trace. (apache#493) [M3c][Meta Schedule] Implement the Replay Func class. (apache#495) [PR] Test script for meta-schedule task extraction. Interface to load… (apache#494) [Meta Schedule Refactor] Get child blocks (apache#500) Read-at && Write-at (apache#497) [M3c][Meta Schedule] Measure Callbacks (apache#498) [Bug] Fix Infinite Loop Caused When Calling Methods Not Overrided In PyClass (apache#496) [MetaSchedule] Sample-Perfect-Tile (apache#501) [MetaSchedule] TE Workloads (apache#502) [TensorIR] GetProducer, GetConsumer (apache#506) [MetaScheduleRefactor] Annotate&Unannotate (apache#505) [MetaSchedule] Multi-Level-Tiling & Auto-Inline (apache#503) [Tests] Add unittests for auto-inline and multi-level-tiling (apache#508) [Meta Schedule] Minor Fixes (apache#507) [MetaSchedule] Rewrite Cooperative-Fetching / Unbound-Block / Reduction-Block (apache#509) [MetaSchedule] Rewrite Parallel-Vectorize-Unroll / Verify-GPU / Disallow-Dynamic-Loops (apache#499) [Meta Schedule] Add Helper Function & Minor Modification (apache#512) [MetaSchedule] Test for Rewrite Parallel-Vectorize-Unroll (apache#513) [Meta Schedule] Feature Extractor & Cost Model (apache#510) Blockize & Tensorize (apache#514) Layout Rewriting: Suggest-Index-Map (apache#520) [MetaSchedule] Parallel-Vectorize-Unroll & Random-Compute-Location (apache#516) [Meta Schedule] Per-Store-Feature (apache#521) Add traced schedule for blockize & tensorize (apache#526) [Meta Schedule] Add XGBoost Model & Random Model (apache#519) User-Interface: Tune-TIR (apache#525) User-Interface: Tune-TE (apache#527) [Minor] More logging on python (apache#528) Get CUDA tuning working (apache#529) [MetaSchedule] TensorRT BYOC (apache#518) [BugFix] LocalBuilder API (apache#531) [Meta Schedule] Add Cost Model Update Measure Callback (apache#530) [Bugfix] BuilderInput with default params (apache#532) [MetaSchedule] Mutator-Tile-Size, Mutate-Parallel, Mutate-Unroll (apache#534) [Meta Schedule] Evolutionary Search (apache#522) [BugFix] Remove duplicated definition of MakeMultinomialSampler (apache#535) [Meta Schedule] Fix some bugs (apache#537) Initiate Experiments for CPU Performance Alignment with Ansor (apache#538) [Meta Schedule] Tweak experiment scripts (apache#539) [Meta Schedule] Initiate experiments on CUDA (apache#540) [TIR][Schedule] Buffer transform (apache#523) Auto Tensor Core (apache#524) Working on Evo Search (apache#542) [Meta Schedule] Add Replay Tuning Interface (apache#543) Evolutionary Search on CPU (apache#544) Misc improvement over the error message (apache#545) [TIR][Schedule] Software pipelining (apache#533) [Meta Schedule Refactor] fixing unit tests (apache#547) [MetaSchedule] Mutator-Compute-Location (apache#548) Misc Improvement of Evolutionary Search (apache#549) Hotfix for software pipeline (apache#552) Misc Improvement (apache#550) [Cherry-Pick][TensorIR] Primitive "SetScope" (apache#9738) (apache#555) Rule RFactor (apache#551) [MemHammer] Rewrite Rules (apache#554) [MetaSchedule] Schedule Rule: Cross-Thread Reduction (apache#556) [MetaSchedule] Performance Alignment - NRM and SFM (CUDA) (apache#559) [MetaSchedule] Perf Alignment - NRM on CUDA (apache#560) [TIR] Reorder the block iters of the blocks generated by RFactor (apache#561) Removing 2 unit tests for software pipelining (apache#562) [MemHammer] Lower Pass + Unittests (apache#557) Perf Align: Remove Auto-inline before Multi-level-tiling (apache#564) Fix Sketch Generation Unittests (apache#565) speed up VerifyGpuCode (apache#568) [Performance Align] fixing codegen problems (apache#569) [Meta schedule] improve search space (apache#1) Hot fix for bound predicate (apache#3) [Meta Schedule] Update Tune Relay (apache#4) [Performance Align] fixing codegen problems (apache#5) [PerfAlign] NRM & SFM on Raspi Aligned (apache#6) [BugFix] Apply bound predicate directly to loops when possible (apache#12) [BugFix] Fix CrossThreadReduction on CUDA (apache#13) [MetaSchedule] Enable BertTuning with MetaScheduler (apache#11) [Minor][MemHammer] Minor tweaks in code review (apache#14) [Meta Schedule] Add customizable search space to PostOrderApply. (apache#16) Fix cooperative fetching (apache#17) Fixes for codegen (apache#18) [Hotfix] A unittest (apache#19) Fix for GRP sketch gen (apache#21) Add threadIdx filtering in Multi-Level-Tiling and Verify-GPU-Code (apache#20) [BugFix][TIR] Fix cross-thread reduction when single reduction loop with predicate (apache#10016) (apache#22) [MemHammer][Refactor] Code Review (apache#15) [Meta Schedule] Add Winograd Test for Customizable Search Space (apache#24) Import & Cache Mechanism (apache#26) [BugFix] Fix Winograd Test Script (apache#25) Add task extraction & caching (apache#27) A few fixes for task extraction (apache#28) Co-authored-by: Siyuan Feng <Hzfengsy@sjtu.edu.cn> Co-authored-by: Bohan Hou <32121147+spectrometerHBH@users.noreply.github.com> Co-authored-by: Hongyi Jin <3231950289@qq.com> Co-authored-by: Ruihang Lai <lairuihangdongdong@qq.com> Co-authored-by: Junru Shao <junrushao1994@gmail.com> Co-authored-by: Wuwei Lin <wuwei@apache.org> Co-authored-by: Sunghyun Park <49998730+sunggg@users.noreply.github.com> Co-authored-by: Xiyou Zhou <xiyou@octoml.ai>

[Meta Schedule][M3c] Schedule Rules, Mutator & Postprocs (apache#485) [Meta Schedule][M3c] PostOrderApply (apache#486) Fix Post Order Apply (apache#490) [MetaSchedule] Relay Integration (apache#489) [M3c][Meta Schedule] Add Trace Correctness Test for PostOrderApply (apache#492) Fix replay trace. (apache#493) [M3c][Meta Schedule] Implement the Replay Func class. (apache#495) [PR] Test script for meta-schedule task extraction. Interface to load… (apache#494) [Meta Schedule Refactor] Get child blocks (apache#500) Read-at && Write-at (apache#497) [M3c][Meta Schedule] Measure Callbacks (apache#498) [Bug] Fix Infinite Loop Caused When Calling Methods Not Overrided In PyClass (apache#496) [MetaSchedule] Sample-Perfect-Tile (apache#501) [MetaSchedule] TE Workloads (apache#502) [TensorIR] GetProducer, GetConsumer (apache#506) [MetaScheduleRefactor] Annotate&Unannotate (apache#505) [MetaSchedule] Multi-Level-Tiling & Auto-Inline (apache#503) [Tests] Add unittests for auto-inline and multi-level-tiling (apache#508) [Meta Schedule] Minor Fixes (apache#507) [MetaSchedule] Rewrite Cooperative-Fetching / Unbound-Block / Reduction-Block (apache#509) [MetaSchedule] Rewrite Parallel-Vectorize-Unroll / Verify-GPU / Disallow-Dynamic-Loops (apache#499) [Meta Schedule] Add Helper Function & Minor Modification (apache#512) [MetaSchedule] Test for Rewrite Parallel-Vectorize-Unroll (apache#513) [Meta Schedule] Feature Extractor & Cost Model (apache#510) Blockize & Tensorize (apache#514) Layout Rewriting: Suggest-Index-Map (apache#520) [MetaSchedule] Parallel-Vectorize-Unroll & Random-Compute-Location (apache#516) [Meta Schedule] Per-Store-Feature (apache#521) Add traced schedule for blockize & tensorize (apache#526) [Meta Schedule] Add XGBoost Model & Random Model (apache#519) User-Interface: Tune-TIR (apache#525) User-Interface: Tune-TE (apache#527) [Minor] More logging on python (apache#528) Get CUDA tuning working (apache#529) [MetaSchedule] TensorRT BYOC (apache#518) [BugFix] LocalBuilder API (apache#531) [Meta Schedule] Add Cost Model Update Measure Callback (apache#530) [Bugfix] BuilderInput with default params (apache#532) [MetaSchedule] Mutator-Tile-Size, Mutate-Parallel, Mutate-Unroll (apache#534) [Meta Schedule] Evolutionary Search (apache#522) [BugFix] Remove duplicated definition of MakeMultinomialSampler (apache#535) [Meta Schedule] Fix some bugs (apache#537) Initiate Experiments for CPU Performance Alignment with Ansor (apache#538) [Meta Schedule] Tweak experiment scripts (apache#539) [Meta Schedule] Initiate experiments on CUDA (apache#540) [TIR][Schedule] Buffer transform (apache#523) Auto Tensor Core (apache#524) Working on Evo Search (apache#542) [Meta Schedule] Add Replay Tuning Interface (apache#543) Evolutionary Search on CPU (apache#544) Misc improvement over the error message (apache#545) [TIR][Schedule] Software pipelining (apache#533) [Meta Schedule Refactor] fixing unit tests (apache#547) [MetaSchedule] Mutator-Compute-Location (apache#548) Misc Improvement of Evolutionary Search (apache#549) Hotfix for software pipeline (apache#552) Misc Improvement (apache#550) [Cherry-Pick][TensorIR] Primitive "SetScope" (apache#9738) (apache#555) Rule RFactor (apache#551) [MemHammer] Rewrite Rules (apache#554) [MetaSchedule] Schedule Rule: Cross-Thread Reduction (apache#556) [MetaSchedule] Performance Alignment - NRM and SFM (CUDA) (apache#559) [MetaSchedule] Perf Alignment - NRM on CUDA (apache#560) [TIR] Reorder the block iters of the blocks generated by RFactor (apache#561) Removing 2 unit tests for software pipelining (apache#562) [MemHammer] Lower Pass + Unittests (apache#557) Perf Align: Remove Auto-inline before Multi-level-tiling (apache#564) Fix Sketch Generation Unittests (apache#565) speed up VerifyGpuCode (apache#568) [Performance Align] fixing codegen problems (apache#569) [Meta schedule] improve search space (apache#1) Hot fix for bound predicate (apache#3) [Meta Schedule] Update Tune Relay (apache#4) [Performance Align] fixing codegen problems (apache#5) [PerfAlign] NRM & SFM on Raspi Aligned (apache#6) [BugFix] Apply bound predicate directly to loops when possible (apache#12) [BugFix] Fix CrossThreadReduction on CUDA (apache#13) [MetaSchedule] Enable BertTuning with MetaScheduler (apache#11) [Minor][MemHammer] Minor tweaks in code review (apache#14) [Meta Schedule] Add customizable search space to PostOrderApply. (apache#16) Fix cooperative fetching (apache#17) Fixes for codegen (apache#18) [Hotfix] A unittest (apache#19) Fix for GRP sketch gen (apache#21) Add threadIdx filtering in Multi-Level-Tiling and Verify-GPU-Code (apache#20) [BugFix][TIR] Fix cross-thread reduction when single reduction loop with predicate (apache#10016) (apache#22) [MemHammer][Refactor] Code Review (apache#15) [Meta Schedule] Add Winograd Test for Customizable Search Space (apache#24) Co-authored-by: Siyuan Feng <Hzfengsy@sjtu.edu.cn> Co-authored-by: Bohan Hou <32121147+spectrometerHBH@users.noreply.github.com> Co-authored-by: Hongyi Jin <3231950289@qq.com> Co-authored-by: Ruihang Lai <lairuihangdongdong@qq.com> Co-authored-by: Junru Shao <junrushao1994@gmail.com> Co-authored-by: Wuwei Lin <wuwei@apache.org> Co-authored-by: Sunghyun Park <49998730+sunggg@users.noreply.github.com> Co-authored-by: Xiyou Zhou <xiyou@octoml.ai>

* Update AST. * ShapeOf. * ShapeOf. * Address comment.

[SparseTIR] Constructors and Python Interface for `Axis` and `SparseBuffer` (apache#2) * add methods for Object * axis constructors * methods for SparseBuffer * put into registry * python interface [CherryPick][Intrinsic] lower_bound and upper_bound for binary search in Sparse TIR. (apache#483) (apache#4) * upd * upd * fix * upd * upd * upd * upd * upd * fix * upd * upd * upd * upd * upd * upd * upd * codegen-rule * upd * upd * test * upd * fix * two arguments Co-authored-by: Zihao Ye <expye@outlook.com> Fix AxisTree (apache#3) * fix axis tree * upd [SparseTIR] Add SparseBufferLoad/SparseBufferStore (apache#5) * Add dtype for SparseBuffer * Add name for SparseBuffer. Remove `ndim` * Remove namespace sparse * Add SparseBufferLoad/Store * Add method `ndim()` [SparseTIR] Introduce SpIterVar (apache#6) * [SparseTIR] Introduce SpIterVar * Add conversion to PrimExpr [BugFix] Fix binary search & SpIterVar (apache#7) [BugFix] Add field `is_reduction` for SpIterVar (apache#9) * [BugFix] Add field `is_reduction` for SpIterVar * Formatting [SparseTIR] Index Lowering (apache#8) * Add StmtFunctor/ExprFunctor for SparseBufferStore/Load * Add basic index lowering * Finish index lowering (maybe) * Address comments * Convert CRLF to LF Frontend update, demo scripts. (apache#10) * Format and Buffer data structure (apache#1) * [SparseTIR] Constructors and Python Interface for `Axis` and `SparseBuffer` (apache#2) * add methods for Object * axis constructors * methods for SparseBuffer * put into registry * python interface * [CherryPick][Intrinsic] lower_bound and upper_bound for binary search in Sparse TIR. (apache#483) (apache#4) * upd * upd * fix * upd * upd * upd * upd * upd * fix * upd * upd * upd * upd * upd * upd * upd * codegen-rule * upd * upd * test * upd * fix * two arguments Co-authored-by: Zihao Ye <expye@outlook.com> * Fix AxisTree (apache#3) * fix axis tree * upd * Format and Buffer data structure (apache#1) * [SparseTIR] Constructors and Python Interface for `Axis` and `SparseBuffer` (apache#2) * add methods for Object * axis constructors * methods for SparseBuffer * put into registry * python interface * fix axis tree * upd * Format and Buffer data structure (apache#1) * [SparseTIR] Constructors and Python Interface for `Axis` and `SparseBuffer` (apache#2) * add methods for Object * axis constructors * methods for SparseBuffer * put into registry * python interface * [CherryPick][Intrinsic] lower_bound and upper_bound for binary search in Sparse TIR. (apache#483) (apache#4) * upd * upd * fix * upd * upd * upd * upd * upd * fix * upd * upd * upd * upd * upd * upd * upd * codegen-rule * upd * upd * test * upd * fix * two arguments Co-authored-by: Zihao Ye <expye@outlook.com> * Fix AxisTree (apache#3) * fix axis tree * upd * [SparseTIR] Add SparseBufferLoad/SparseBufferStore (apache#5) * Add dtype for SparseBuffer * Add name for SparseBuffer. Remove `ndim` * Remove namespace sparse * Add SparseBufferLoad/Store * Add method `ndim()` * Format and Buffer data structure (apache#1) * [SparseTIR] Constructors and Python Interface for `Axis` and `SparseBuffer` (apache#2) * add methods for Object * axis constructors * methods for SparseBuffer * put into registry * python interface * [CherryPick][Intrinsic] lower_bound and upper_bound for binary search in Sparse TIR. (apache#483) (apache#4) * upd * upd * fix * upd * upd * upd * upd * upd * fix * upd * upd * upd * upd * upd * upd * upd * codegen-rule * upd * upd * test * upd * fix * two arguments Co-authored-by: Zihao Ye <expye@outlook.com> * Fix AxisTree (apache#3) * fix axis tree * upd * [SparseTIR] Add SparseBufferLoad/SparseBufferStore (apache#5) * Add dtype for SparseBuffer * Add name for SparseBuffer. Remove `ndim` * Remove namespace sparse * Add SparseBufferLoad/Store * Add method `ndim()` * [SparseTIR] Introduce SpIterVar (apache#6) * [SparseTIR] Introduce SpIterVar * Add conversion to PrimExpr * [BugFix] Fix binary search & SpIterVar (apache#7) * [BugFix] Add field `is_reduction` for SpIterVar (apache#9) * [BugFix] Add field `is_reduction` for SpIterVar * Formatting * upd * upd Co-authored-by: Ruihang Lai <lairuihangdongdong@qq.com> [SparseTIR] SparseBlock on C++/Python side (apache#11) * Fix a bug in the last commit * SparseBlock on C++ & Python side [BugFix][SparseTIR] TVMScript Parser for Axis & SpIterVar (apache#12) * Update `cord` and `pos` * Fix `idtype` * Formatting.. * Bug fix 1 * Move new special stmts * Parser for Axis and SpIterVar * Fix context_maintainer.py [SparseTIR] Enhance SparseBlock to contain enough PrimFunc information (apache#13) * Enhance SparseBlock to have enough PrimFunc info * Remove `func_sparse_buffer_map_` * Don't print the map uh-huh [SparseTIR] Parser, Printer, Roundtrip (apache#14) * SparseBlock scope handler (part 1) * SparseBlock scope handler (part 2) * SparseBlock scope handler (part 3) * SparseBlock scope handler (fix 1) * Add SparseBufferLoad/Store on Python side * Parser for SparseBufferLoad/Store * Add SparseBlock to Python __init__ * StmtFunctor for SparseBlock * Ensure at least one dimension for SparseBuffer * Make `axis` field of SpIterVar mandatory * SparseBlock scope handler (fix 2) * Update Axis syntax by removing `name` parameter * Move to intrin.py * Add filed `from_sparse` to DenseFixedAxis * SparseTIR script printer * Roundtrip test * `update_symbol` bug fix * Fix attr visit in SparseBuffer * Define then compare in SparseBlock * Fix printer bug for SparseBuffer * Enable graph match for Axis and SparseBuffer * Complete HashReduce and EqualReduce for AxisTree and SparseBuffer * Fix typo * Rename test * Bug fix 1 * Bug fix 2 * Add more tests Move tests (apache#15) [SparseTIR] ReprPrinter for Axis and SpIterVar (apache#16) upd (apache#17) flatten (apache#18) ELL and BSR correctness test scripts (apache#19) [SparseTIR] SparseTIR Lowering (apache#20) * Fix a previous bug of sparse-fixed SpIterVar creation * Fix a previous bug in `GetDenseValue` * Refactor Collector and IndexTransformer * Construct block and loops * Fix a previous bug which rejects DV iters in collector * Update buffer map * Create root block * Fix bug of sparse-fixed SpIterVar creation * Fix bug on SpIterVar conversion (with refactor) * Fix bug when getting dependent SpIterVars * Fix bug on dependency map and index lowering * Full block read/write region * Test version 1 * Fix bug of loop order * Fix bug of batch-mm iterator ordering * Update PrimFunc args to use symbolic params * Fix bug of test "csr_element_wise" * Fix bug of index accumulation for sparse-fixed axis * Update correctness test * Test structural equality * Refactor and use Array fix nnz cols Add docstring for sparse tir lowering (apache#21) * add docstring * upd Add more examples part 1 (sddmm) (apache#22) * upd * upd * upd [SparseTIR][Schedule] SparseBlockRV, GetSparseBlock, SparseReorder (apache#23) * Test initialization * Fix a stupid bug of ReprPrinter * Add SparseBlockRV * Schedule: GetSparseBlock * Schedule: Reorder [SparseTIR][Schedule] GetSpIters (apache#24) remove hybrid script for successful compilation Add atomic intrinsic for output nonzero inference. (apache#25) * upd * upd Add "sparse" block attribute. (apache#26) Revert "remove hybrid script for successful compilation" This reverts commit eebd7c1. [SparseTIR] Hack `IsAffineBinding` check (apache#27) * [TensorIR][Schedule] Inherit block anotation upon creating new blocks * Fix SDDMM test * Hack IsAffineBinding for sparse blocks Axis Dependency Tree aware code-gen and bmm example (apache#28) * upd * upd * upd * upd * upd * upd * upd * upd * remove redundancy * fix * upd * upd Re-design Indices lowering (apache#29) * upd * upd * upd * upd * upd * init * format * fix * revise coding-style * format Complete indices lowering (apache#30) * upd * upd * upd * done * upd * passed test * upd Add more docstrings and depress warnings for new lowering algorithm. (apache#31) Refactor derived axis, frontend support of fusion. (apache#32) * upd * upd * fix Fatal bugfix and change the signature of DenseVariableAxis. (apache#33) Syntax simplification (apache#34) Change the order of generated blocks for block isolation. (apache#35) * upd * upd * upd Syntax of AttachAxis for BMM (apache#36) * upd * upd * upd [SparseTIR] Add "square sum" lowering test (apache#37) * Add square sum test * Remove pylint comment [BugFix] Fix offset caching in lowering (apache#38) * Hack compact dataflow check in a dirty way * Add two-K square sum test * Mark skipped tests * Fix offset saving in lowering Fusion syntax fix + SDDMM example. (apache#39) Some structure change on update offsets. (apache#40) [Refactor] SparseTIR Lowering (apache#41) * Take out methods in Scope * Refactor * Refactor "match" * Tweak scope contents * Refactor ViewIndexInAxis * Refactor Scope * SDDMM tests under implementation * Refactor block stack * Use Map for var_map * Extract NeedCreateNewBlock * Simplify SpIterVarToIterVar via GetIterExtent * Refactor NeedCreateNewBlock * Add docstring * Use "auto" correctly * Minor refactor and use some move Remove redundant analyzers (apache#42) Support indices lowering for attach and fuse. (apache#43) * upd * upd * upd Fix irregular BMM example. (apache#44) * upd * upd * upd * upd RGCN forward and butterfly pattern example. (apache#45) Fused SDDMM example. (apache#46) * upd * wip * fix Fix sparse reorder after refactor (apache#47) [Refactor] Refactor Unittest (apache#48) * upd * remove redundancy [Unittest] Correctness test for benchmarking scripts (apache#49) Bugfix and more test for axis fusion, new workload (apache#50) * upd * upd upd

Create a version for the tvm library

* Update AST. * ShapeOf. * ShapeOf. * Address comment.

* fix * fix

TracedObject wrapper that tracks an ObjectPath

* Update AST. * ShapeOf. * ShapeOf. * Address comment.

* high-level-op support * format * format * follow relay convention * format * fix

* Revert "Add High-level Op Support (apache#5)" This reverts commit 67960ee474c8797ca9111527f7b9eb6693377ad6. * [CherryPick] Relax ops: dense/conv2d/max_pool2d/relu/softmax/flatten (tlc-pack#266) * relax.transpose * relax.subtract * relax.nn.batch_norm * relax.reshape * relax.expand_dims * relax.squeeze * relax.concatenate Co-authored-by: sung <sunggg@umich.edu>

* [IR] Introduce StructInfo * StructInfoFunctor and Analysis Support * [TVMScript] Parse type/shape annotation with StructInfo * remove runtime type assign * Remove type/shape during parsing (#2) * Normalizer prep: simple checks and legacy function renaming. * Struct info deduction in BlockBuilder. * Two TODOs * StructInfo Normalizer Fixes (#3) * StructInfo AST Fix * Fix Extern Func Deduction and shape mutator. * Update VoidStructInfo & globalvar (#4) * Fix passes and proper sinfo propagation. * Refactor EraseToWellDefined to Enable Remapping * [WIP] First stab at symbolic param tracking * Update EraseToWellDefined to support symbolic shape return (apache#5) * fix R.shape with ndim (apache#6) * Remove update shape/type * Address review comment, AnnotateTypeShape=>AnnotateStructInfo * Update include/tvm/script/ir_builder/relax/frame.h Co-authored-by: Ruihang Lai <ruihangl@cs.cmu.edu> * Address comments * Update printer to use structinfo (apache#7) * Update Error mechanism to prep for obj loc based reporting * Symbolic shape aware function call return value derivation. The main flow works as follows: - Match and populate shape_var_map and var_map by visit each pair of param and call arguments. - Call EraseToWellDefined to map the ret parameter to new result. * [ANALYSIS] Refactor well-form to only look at struct info. * Update comments according to reviews. * Update include/tvm/relax/struct_info.h Co-authored-by: Ruihang Lai <ruihangl@cs.cmu.edu> Co-authored-by: Siyuan Feng <Hzfengsy@sjtu.edu.cn> Co-authored-by: Tianqi Chen <tqchen> Co-authored-by: Ruihang Lai <ruihangl@cs.cmu.edu>

* Update AST. * ShapeOf. * ShapeOf. * Address comment.

* [IR] Introduce StructInfo * StructInfoFunctor and Analysis Support * [TVMScript] Parse type/shape annotation with StructInfo * remove runtime type assign * Remove type/shape during parsing (#2) * Normalizer prep: simple checks and legacy function renaming. * Struct info deduction in BlockBuilder. * Two TODOs * StructInfo Normalizer Fixes (#3) * StructInfo AST Fix * Fix Extern Func Deduction and shape mutator. * Update VoidStructInfo & globalvar (#4) * Fix passes and proper sinfo propagation. * Refactor EraseToWellDefined to Enable Remapping * [WIP] First stab at symbolic param tracking * Update EraseToWellDefined to support symbolic shape return (apache#5) * fix R.shape with ndim (apache#6) * Remove update shape/type * Address review comment, AnnotateTypeShape=>AnnotateStructInfo * Update include/tvm/script/ir_builder/relax/frame.h Co-authored-by: Ruihang Lai <ruihangl@cs.cmu.edu> * Address comments * Update printer to use structinfo (apache#7) * Update Error mechanism to prep for obj loc based reporting * Symbolic shape aware function call return value derivation. The main flow works as follows: - Match and populate shape_var_map and var_map by visit each pair of param and call arguments. - Call EraseToWellDefined to map the ret parameter to new result. * [ANALYSIS] Refactor well-form to only look at struct info. * Update comments according to reviews. * Update include/tvm/relax/struct_info.h Co-authored-by: Ruihang Lai <ruihangl@cs.cmu.edu> Co-authored-by: Siyuan Feng <Hzfengsy@sjtu.edu.cn> Co-authored-by: Tianqi Chen <tqchen> Co-authored-by: Ruihang Lai <ruihangl@cs.cmu.edu>

* Update AST. * ShapeOf. * ShapeOf. * Address comment.

* [IR] Introduce StructInfo * StructInfoFunctor and Analysis Support * [TVMScript] Parse type/shape annotation with StructInfo * remove runtime type assign * Remove type/shape during parsing (apache#2) * Normalizer prep: simple checks and legacy function renaming. * Struct info deduction in BlockBuilder. * Two TODOs * StructInfo Normalizer Fixes (apache#3) * StructInfo AST Fix * Fix Extern Func Deduction and shape mutator. * Update VoidStructInfo & globalvar (apache#4) * Fix passes and proper sinfo propagation. * Refactor EraseToWellDefined to Enable Remapping * [WIP] First stab at symbolic param tracking * Update EraseToWellDefined to support symbolic shape return (apache#5) * fix R.shape with ndim (apache#6) * Remove update shape/type * Address review comment, AnnotateTypeShape=>AnnotateStructInfo * Update include/tvm/script/ir_builder/relax/frame.h Co-authored-by: Ruihang Lai <ruihangl@cs.cmu.edu> * Address comments * Update printer to use structinfo (apache#7) * Update Error mechanism to prep for obj loc based reporting * Symbolic shape aware function call return value derivation. The main flow works as follows: - Match and populate shape_var_map and var_map by visit each pair of param and call arguments. - Call EraseToWellDefined to map the ret parameter to new result. * [ANALYSIS] Refactor well-form to only look at struct info. * Update comments according to reviews. * Update include/tvm/relax/struct_info.h Co-authored-by: Ruihang Lai <ruihangl@cs.cmu.edu> Co-authored-by: Siyuan Feng <Hzfengsy@sjtu.edu.cn> Co-authored-by: Tianqi Chen <tqchen> Co-authored-by: Ruihang Lai <ruihangl@cs.cmu.edu>

SIM-2981: make pre-release instead of post-release Approved-by: Jeffrey Uong

Add tile operation

0e99e8a

tqchen merged commit f650216 into apache:master Dec 11, 2016

tqchen changed the title ~~Add tile operation~~ [LANG] Add tile operation Jan 20, 2017

haolongzhangm mentioned this pull request Nov 15, 2017

connect to this proxy server via TVM RPC application failed #638

Closed

tqchen added a commit to tqchen/tvm that referenced this pull request May 26, 2018

Enable use json for graph attr exchange (apache#5)

88520e1

tqchen added a commit that referenced this pull request May 29, 2018

Enable use json for graph attr exchange (#5)

fd89386

tqchen added a commit to tqchen/tvm that referenced this pull request Jul 6, 2018

Enable use json for graph attr exchange (apache#5)

c92d63c

tqchen pushed a commit to tqchen/tvm that referenced this pull request Jul 12, 2018

[REFACTOR] Code base refactoring (apache#5)

43c451a

tqchen pushed a commit that referenced this pull request Jul 12, 2018

[REFACTOR] Code base refactoring (#5)

8457539

tqchen pushed a commit to tqchen/tvm that referenced this pull request Aug 4, 2018

[REFACTOR] Code base refactoring (apache#5)

28a10b6

sergei-mironov referenced this pull request in sergei-mironov/tvm Aug 8, 2018

Enable use json for graph attr exchange (#5)

a52bbad

sergei-mironov referenced this pull request in sergei-mironov/tvm Aug 8, 2018

[REFACTOR] Code base refactoring (#5)

7c7d8b4

tmoreau89 pushed a commit to tmoreau89/tvm that referenced this pull request Jan 2, 2019

Add schedule and test for group convolution (apache#5)

af5eb3e

* group conv pass all * pass mobilenet

tmoreau89 pushed a commit to tmoreau89/tvm that referenced this pull request Mar 22, 2019

Add schedule and test for group convolution (apache#5)

f3aeda7

* group conv pass all * pass mobilenet

tmoreau89 pushed a commit to tmoreau89/tvm that referenced this pull request Mar 22, 2019

Add schedule and test for group convolution (apache#5)

a978e30

* group conv pass all * pass mobilenet

u99127 mentioned this pull request Jun 1, 2019

Implementation of uTVM #3227

Merged

kevinthesun pushed a commit to kevinthesun/tvm that referenced this pull request Jan 9, 2020

Dense strategy (apache#5)

efbeb19

* dense * add biforst; remove comments * address comment

tqchen pushed a commit to tqchen/tvm that referenced this pull request Mar 29, 2020

[REFACTOR] Code base refactoring (apache#5)

ca54f03

prashantsail pushed a commit to prashantsail/incubator-tvm that referenced this pull request May 15, 2020

Merge pull request apache#5 from prashantsail/ps_spop

8feb00c

support output tensors as function args, multiple functions

jcf94 added a commit to jcf94/tvm that referenced this pull request Jun 22, 2020

Add MetaTileRewritePolicy (apache#5)

e0a5ed5

* Add feature * Add cost_model, meta_tile_rewrite_policy * Add MetaTileRewritePolicy basic UT

rohanmukh added a commit to anijain2305/tvm that referenced this pull request Oct 2, 2020

Tf4 (apache#5)

e377214

* InferType fix * Skip annotation passes for non-main funcs * Test * Let and IF node handlin Co-authored-by: Rohan Mukherjee <rohan.mukherjii@gmail.com>

MasterJH5574 pushed a commit to MasterJH5574/tvm that referenced this pull request Feb 26, 2022

Update AST and Shape() implementation (apache#5)

d6bfcd8

* Update AST. * ShapeOf. * ShapeOf. * Address comment.

MasterJH5574 pushed a commit to MasterJH5574/tvm that referenced this pull request Mar 3, 2022

Update AST and Shape() implementation (apache#5)

0012654

* Update AST. * ShapeOf. * ShapeOf. * Address comment.

prateek9623 pushed a commit to prateek9623/tvm that referenced this pull request May 1, 2022

Merge pull request apache#5 from microsoft/yanchen/lib-version

638d7d2

Create a version for the tvm library

jinhongyii pushed a commit to jinhongyii/tvm that referenced this pull request Jun 20, 2022

Update AST and Shape() implementation (apache#5)

9842072

* Update AST. * ShapeOf. * ShapeOf. * Address comment.

jinhongyii pushed a commit to jinhongyii/tvm that referenced this pull request Jun 20, 2022

fix of mutator (apache#5)

bd8a5e5

* fix * fix

gbonik pushed a commit to gbonik/tvm that referenced this pull request Jun 28, 2022

Merge pull request apache#5 from gbonik/traced_object

3b1f3c4

TracedObject wrapper that tracks an ObjectPath

Hzfengsy pushed a commit to Hzfengsy/tvm that referenced this pull request Jul 30, 2022

Update AST and Shape() implementation (apache#5)

0edabaa

* Update AST. * ShapeOf. * ShapeOf. * Address comment.

areusch referenced this pull request in areusch/tvm Sep 20, 2022

Update AST and Shape() implementation (#5)

8034e53

* Update AST. * ShapeOf. * ShapeOf. * Address comment.

gigiblender pushed a commit to gigiblender/tvm that referenced this pull request Nov 3, 2022

Update AST and Shape() implementation (apache#5)

8b06254

* Update AST. * ShapeOf. * ShapeOf. * Address comment.

MasterJH5574 pushed a commit to MasterJH5574/tvm that referenced this pull request Nov 20, 2022

Update AST and Shape() implementation (apache#5)

2340269

* Update AST. * ShapeOf. * ShapeOf. * Address comment.

MasterJH5574 pushed a commit to MasterJH5574/tvm that referenced this pull request Nov 20, 2022

Add High-level Op Support (apache#5)

7425128

* high-level-op support * format * format * follow relay convention * format * fix

gigiblender pushed a commit to gigiblender/tvm that referenced this pull request Jan 31, 2023

Update AST and Shape() implementation (apache#5)

1c5ade9

* Update AST. * ShapeOf. * ShapeOf. * Address comment.

Lunderberg pushed a commit to Lunderberg/tvm that referenced this pull request Mar 3, 2023

Update AST and Shape() implementation (apache#5)

83e5d23

* Update AST. * ShapeOf. * ShapeOf. * Address comment.

mikeseven pushed a commit to mikeseven/tvm that referenced this pull request Sep 27, 2023

Merged in SIM-2981 (pull request apache#5)

fa25145

SIM-2981: make pre-release instead of post-release Approved-by: Jeffrey Uong

MasterJH5574 added a commit to MasterJH5574/tvm that referenced this pull request Oct 27, 2024

[KVCache] Python constructor for disaggregation (apache#5)

4a42fdd

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[LANG] Add tile operation #5

[LANG] Add tile operation #5

ZihengJiang commented Dec 11, 2016

[LANG] Add tile operation #5

[LANG] Add tile operation #5

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ZihengJiang commented Dec 11, 2016