[API/Refactor] Unified PackedFunc for API and Generated Functions #26
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tqchen
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- PackedFunc class is now formalized, with a full fledge capabilities of type-erased calls
- This enables bi-directional exchange of python/c++ functions easy
- It also enhances PackedFunc to be able handle return values
- Removes the original APIFunction mechanism, API function is now simply globally registered PackedFunc
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* Add vectorized cooperative_fetching test * Update math simplify for vectorized CF * File rename * Update tune_network * API update
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…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 <[email protected]> Co-authored-by: Minmin Sun (孙敏敏) <[email protected]> Co-authored-by: Zhao Wu <[email protected]>
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…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 <[email protected]> Co-authored-by: Minmin Sun (孙敏敏) <[email protected]> Co-authored-by: Zhao Wu <[email protected]>
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* Import \& Cache Mechanism * unused * use None as default cache_dir * invalid name + more layout * fix bert * remove
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[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 <[email protected]> Co-authored-by: Bohan Hou <[email protected]> Co-authored-by: Hongyi Jin <[email protected]> Co-authored-by: Ruihang Lai <[email protected]> Co-authored-by: Junru Shao <[email protected]> Co-authored-by: Wuwei Lin <[email protected]> Co-authored-by: Sunghyun Park <[email protected]> Co-authored-by: Xiyou Zhou <[email protected]>
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[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 <[email protected]> Co-authored-by: Bohan Hou <[email protected]> Co-authored-by: Hongyi Jin <[email protected]> Co-authored-by: Ruihang Lai <[email protected]> Co-authored-by: Junru Shao <[email protected]> Co-authored-by: Wuwei Lin <[email protected]> Co-authored-by: Sunghyun Park <[email protected]> Co-authored-by: Xiyou Zhou <[email protected]>
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Feb 22, 2022
[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 <[email protected]> Co-authored-by: Bohan Hou <[email protected]> Co-authored-by: Hongyi Jin <[email protected]> Co-authored-by: Ruihang Lai <[email protected]> Co-authored-by: Junru Shao <[email protected]> Co-authored-by: Wuwei Lin <[email protected]> Co-authored-by: Sunghyun Park <[email protected]> Co-authored-by: Xiyou Zhou <[email protected]>
MasterJH5574
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Mar 7, 2022
[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 <[email protected]> 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 <[email protected]> * 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 <[email protected]> * 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 <[email protected]> * 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 <[email protected]> [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
jinhongyii
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Nov 28, 2022
) (apache#26) Following apache#13206, this PR brings the new parameter added to the AutoBind schedule rule to Python side.
krishnaraj36
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Aug 9, 2024
Integrate implicit call of BYOC preprocessing module into collage tunning module and enable benchmark script for adreno targets. Benchmark results: **Networks | OpenCL texture | OpenCLML | Collage** resnet-18-float32 | 0.010584622 | 0.00720695 | 0.007289728 resnet-18-float16 | 0.007052029 | 0.0045642 | 0.004857585 resnet-34-float32 | 0.016259185 | 0.01242092 | 0.013071063 resnet-34-float16 | 0.011350326 | 0.0073473 | 0.00796802 resnet-50-float32 | 0.019188419 | 0.02085548 | 0.018910226 resnet-50-float16 | 0.01338978 | 0.01199576 | 0.011089206 densenet-121-float32 | 0.025430062 | 0.01798478 | 0.013212844 densenet-121-float16 | 0.012384599 | 0.01101491 | 0.008722716 inception_v3-float32 | 0.040408253 | 0.02229727 | 0.022636675 inception_v3-float16 | 0.029910533 | 0.01368941 | 0.014519823 mobilenet-float32 | 0.004093148 | 0.00367917 | 0.003189258 mobilenet-float16 | 0.00280268 | 0.00244494 | 0.002101514 </body> </html> Co-authored-by: krishnaraj36 <[email protected]>
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Oct 9, 2024
Integrate implicit call of BYOC preprocessing module into collage tunning module and enable benchmark script for adreno targets. Benchmark results: **Networks | OpenCL texture | OpenCLML | Collage** resnet-18-float32 | 0.010584622 | 0.00720695 | 0.007289728 resnet-18-float16 | 0.007052029 | 0.0045642 | 0.004857585 resnet-34-float32 | 0.016259185 | 0.01242092 | 0.013071063 resnet-34-float16 | 0.011350326 | 0.0073473 | 0.00796802 resnet-50-float32 | 0.019188419 | 0.02085548 | 0.018910226 resnet-50-float16 | 0.01338978 | 0.01199576 | 0.011089206 densenet-121-float32 | 0.025430062 | 0.01798478 | 0.013212844 densenet-121-float16 | 0.012384599 | 0.01101491 | 0.008722716 inception_v3-float32 | 0.040408253 | 0.02229727 | 0.022636675 inception_v3-float16 | 0.029910533 | 0.01368941 | 0.014519823 mobilenet-float32 | 0.004093148 | 0.00367917 | 0.003189258 mobilenet-float16 | 0.00280268 | 0.00244494 | 0.002101514 </body> </html> Co-authored-by: krishnaraj36 <[email protected]>
srkreddy1238
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Nov 11, 2024
Integrate implicit call of BYOC preprocessing module into collage tunning module and enable benchmark script for adreno targets. Benchmark results: **Networks | OpenCL texture | OpenCLML | Collage** resnet-18-float32 | 0.010584622 | 0.00720695 | 0.007289728 resnet-18-float16 | 0.007052029 | 0.0045642 | 0.004857585 resnet-34-float32 | 0.016259185 | 0.01242092 | 0.013071063 resnet-34-float16 | 0.011350326 | 0.0073473 | 0.00796802 resnet-50-float32 | 0.019188419 | 0.02085548 | 0.018910226 resnet-50-float16 | 0.01338978 | 0.01199576 | 0.011089206 densenet-121-float32 | 0.025430062 | 0.01798478 | 0.013212844 densenet-121-float16 | 0.012384599 | 0.01101491 | 0.008722716 inception_v3-float32 | 0.040408253 | 0.02229727 | 0.022636675 inception_v3-float16 | 0.029910533 | 0.01368941 | 0.014519823 mobilenet-float32 | 0.004093148 | 0.00367917 | 0.003189258 mobilenet-float16 | 0.00280268 | 0.00244494 | 0.002101514 </body> </html> Co-authored-by: krishnaraj36 <[email protected]>
srkreddy1238
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Nov 11, 2024
Integrate implicit call of BYOC preprocessing module into collage tunning module and enable benchmark script for adreno targets. Benchmark results: **Networks | OpenCL texture | OpenCLML | Collage** resnet-18-float32 | 0.010584622 | 0.00720695 | 0.007289728 resnet-18-float16 | 0.007052029 | 0.0045642 | 0.004857585 resnet-34-float32 | 0.016259185 | 0.01242092 | 0.013071063 resnet-34-float16 | 0.011350326 | 0.0073473 | 0.00796802 resnet-50-float32 | 0.019188419 | 0.02085548 | 0.018910226 resnet-50-float16 | 0.01338978 | 0.01199576 | 0.011089206 densenet-121-float32 | 0.025430062 | 0.01798478 | 0.013212844 densenet-121-float16 | 0.012384599 | 0.01101491 | 0.008722716 inception_v3-float32 | 0.040408253 | 0.02229727 | 0.022636675 inception_v3-float16 | 0.029910533 | 0.01368941 | 0.014519823 mobilenet-float32 | 0.004093148 | 0.00367917 | 0.003189258 mobilenet-float16 | 0.00280268 | 0.00244494 | 0.002101514 </body> </html> Co-authored-by: krishnaraj36 <[email protected]>
srkreddy1238
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Nov 11, 2024
Integrate implicit call of BYOC preprocessing module into collage tunning module and enable benchmark script for adreno targets. Benchmark results: **Networks | OpenCL texture | OpenCLML | Collage** resnet-18-float32 | 0.010584622 | 0.00720695 | 0.007289728 resnet-18-float16 | 0.007052029 | 0.0045642 | 0.004857585 resnet-34-float32 | 0.016259185 | 0.01242092 | 0.013071063 resnet-34-float16 | 0.011350326 | 0.0073473 | 0.00796802 resnet-50-float32 | 0.019188419 | 0.02085548 | 0.018910226 resnet-50-float16 | 0.01338978 | 0.01199576 | 0.011089206 densenet-121-float32 | 0.025430062 | 0.01798478 | 0.013212844 densenet-121-float16 | 0.012384599 | 0.01101491 | 0.008722716 inception_v3-float32 | 0.040408253 | 0.02229727 | 0.022636675 inception_v3-float16 | 0.029910533 | 0.01368941 | 0.014519823 mobilenet-float32 | 0.004093148 | 0.00367917 | 0.003189258 mobilenet-float16 | 0.00280268 | 0.00244494 | 0.002101514 </body> </html> Co-authored-by: krishnaraj36 <[email protected]>
srkreddy1238
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Nov 14, 2024
Integrate implicit call of BYOC preprocessing module into collage tunning module and enable benchmark script for adreno targets. Benchmark results: **Networks | OpenCL texture | OpenCLML | Collage** resnet-18-float32 | 0.010584622 | 0.00720695 | 0.007289728 resnet-18-float16 | 0.007052029 | 0.0045642 | 0.004857585 resnet-34-float32 | 0.016259185 | 0.01242092 | 0.013071063 resnet-34-float16 | 0.011350326 | 0.0073473 | 0.00796802 resnet-50-float32 | 0.019188419 | 0.02085548 | 0.018910226 resnet-50-float16 | 0.01338978 | 0.01199576 | 0.011089206 densenet-121-float32 | 0.025430062 | 0.01798478 | 0.013212844 densenet-121-float16 | 0.012384599 | 0.01101491 | 0.008722716 inception_v3-float32 | 0.040408253 | 0.02229727 | 0.022636675 inception_v3-float16 | 0.029910533 | 0.01368941 | 0.014519823 mobilenet-float32 | 0.004093148 | 0.00367917 | 0.003189258 mobilenet-float16 | 0.00280268 | 0.00244494 | 0.002101514 </body> </html> Co-authored-by: krishnaraj36 <[email protected]>
MasterJH5574
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Dec 4, 2024
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