[RUNTIME] Add interface header of runtime #15

tqchen · 2017-01-16T06:11:19Z

No description provided.

icemelon

lgtm

… to return variable loop extents.

* Add XGBModel & RPCRunnerWarpper * Revert "Add Parallel Granularity Mutation"

…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]>

…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]>

* Fix for serialization. * Update.

Add operators

[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 <[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]>

[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 <[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]>

[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 <[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]> 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 <[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]>

[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 <[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]>

[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]>

[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 <[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]>

[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]>

[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 <[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]>

…ort for call_dps (apache#15) * update parser and printer for match_shape * support parsing class to IRModule, and extern func in call_dps

[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

rebased [TIR][Schedule] fix reorder/buffer_flatten & finish CPU demo (apache#59) [CPU DEMO] Update cpu gemm demo and fix bug (apache#58) * [TIR][Schedule] introduce parallel and fix bugs for cpu demo * [TIR][Schedule] update cpu demo * [TIR][Schedule] fix lint * [TIR][Schedule] fix rebased [TIR][Schedule] introduce reduction block and CPU demo (apache#53) * [TIR] reduction : split_reduction * [TIR] reduction : split_reduction * [TIR] reduction : fuse_reduction * [TIR] reduction : cpu demo * [TIR] reduction : fix * [TIR] reduction : pattern detect remains * [TIR] reduction : pattern detect remains * [TIR] reduction : pattern match done * [TIR] reduction : fix lint * [TIR] reduction : fix * [TIR] reduction : fix * [TIR] reduction : fix * [TIR] reduction : fix * [TIR] reduction : rebased * [TIR] reduction : rebased [TIR][Schedule] introduce cache_read cache_write (apache#54) * [TIR][Schedule] introduce cache_read cache_write * [TIR][Schedule] add more comments * [TIR][Schedule] fix problem and add comments * [TIR][Schedule] address comments [TIR] schedule: introduce vectorize, unroll, loop validation (apache#47) * [TIR] vectorize : basically complete * [TIR] vectorize&unroll : update comments&unroll * [TIR] vectorize&unroll : rebased * [TIR] vectorize, unroll, cpu_demo: done * [TIR] vectorize, unroll, cpu_demo: simplify * [TIR] vectorize, unroll, cpu_demo: fix * [TIR] reduction : rebased * [TIR] reduction : fix [TIR][Schedule] fix sref and scopes problem during replace and compute_at (apache#50) * [TIR][Schedule] fix sref and scopes problem during replace and compute_at * [TIR][Schedule] fix * [TIR][Schedule] fix [TIR][Refactor] move function to ScheduleNode [TIR] Schedule: introduce primitive compute_at (apache#36) * [TIR] Schedule: introduce primitive compute_at * [TIR] Schedule: address comments * [TIR] Schedule: address comments * [TIR] Schedule: address comments * [TIR] Schedule: add check to compute_at * [TIR] Schedule: address comments * [TIR] Schedule: address comments [TIR] Schedule: introduce primitive reorder (apache#37) * [Schedule] debug * [TIR] Schedule: reorder, loop type detect remains * [TIR] reorder complete * [TIR] reorder complete * [TIR] fix * [TIR] reorder : rebased complete * [TIR] reorder : fix container.h * [TIR] reorder : fix * [TIR] reorder : fix * [TIR] reorder : fix * [TIR] reorder : simplify * [TIR] reorder : simplify * [TIR] reorder : simplify * [TIR] reorder : fix * [TIR] reorder : fix * [TIR] reorder : rebased * [TIR] reorder : rebased rebase [TIR] Schedule: introduce BlockRealize and Block SRef reuse(apache#39) * [TIR] BlockRealize: schedule refactor * [TIR] BlockRealize: debug * [TIR] BlockRealize finish * [TIR] BlockRealize finish * [TIR] BlockRealize fix * [TIR] BlockRealize update test * [TIR] BlockRealize: add loop var reuse * [TIR] BlockRealize: add loop var reuse * [TIR] BlockRealize: fix * [TIR] BlockRealize: fix * [TIR] BlockRealize: fix * [TIR] BlockRealize: fix * [TIR] BlockRealize: fix * [TIR] BlockRealize: fix * [TIR] BlockRealize: fix * [TIR] BlockRealize: fix * [TIR] BlockRealize: fix * [TIR] BlockRealize: fix [TIR] compare for module (apache#38) * [TIR] compare for module * [TIR] fix * [TIR] fix * [TIR] fix * [TIR] fix * [TIR] fix * [TIR] fix [Hybrid] Module init [Hybrid] Module print [Hybrid] Module print with meta [Hybrid] adjust [Hybrid] finished but without lint and comment check [Hybrid] fix lint [Hybrid] comments [Hybrid] fix script decoration API [Hybrid] using IRModule [Hybrid] fix [Hybrid] adjust API [Hybrid] fix [Hybrid] fix [Hybrid] fix [Hybrid] fix symbol table, adjust API, introduce meta_mutator and resolve import issue [Hybrid] fix lint [TIR] introduce pass BufferFlatten (apache#32) * [TIR] introduce pass BufferFlatten * [Tir] add comments & remove old TeLower * [TIR] split GatherRegion and BufferFlatten to two Visitor/Mutator * [TIR] address comments: Only consider stmt scope * [TIR] BufferFlatten: address comments * [TIR] BufferFlatten: fold BlockFlattener into BufferFlattener * [TIR] BufferFlatten: add asserts * [TIR] BufferFlatten: use Equal in testcase * [TIR] Equal Pass: Enhanced the pass * [TIR] Equal Pass: add comments [Hybrid] refactor using Doc, introduce annotation, enhance parser (apache#28) * [Hybrid] refactor printer, enhance parser * [Hybrid] refactor * [Hybrid] fix * [Hybrid] fix * [Hybrid] fix namespace issue * [Hybrid] compare using Equal [TIR] rebased [TE] fix replace again and add primitive fuse and split (apache#27) * [TE] add: schedule primitive fuse * [TE] add: schedule primitive split * [TE] address comments: add IRSubstitueInScope and other minor fix * [TE] address comments: Enhance Equal api and fix split by nparts * [TE] address comments [Hybrid] introduce printer (apache#25) * [Hybrid] substitute Block with SeqStmt, change block() syntax * [Hybrid] add printer, type declare intrin * [Hybrid] refactor * [Hybrid] meta * [Hybrid] refactor * [Hybrid] macro [TE] fix replace (apache#23) * [TE] fix replace * [TE] fix replace: add more tests * [TE] fix replace: add more tests [TE] rebased [Hybrid] python syntax parser (apache#20) * [Hybrid] python syntax parser * [Hybrid] add a testcase * [Hybrid] improve comments and fix bugs * [Hybrid] improve comments, refactor __internal_assert, add new testcases * [Hybrid] improve error report message, refactor intrin * [Hybrid] separate ScopeEmitter from parser * [Hybrid] refactor type check * [Hybrid] refactor intrin * [Hybrid] refactor intrin, allow register external functions with argument type checking, add a testcase * [Hybrid] address comments, fix a bug in te/ir.h * [Hybrid] remove type check * [Hybrid] python syntax parser * [Hybrid] add a testcase * [Hybrid] improve comments and fix bugs * [Hybrid] improve comments, refactor __internal_assert, add new testcases * [Hybrid] improve error report message, refactor intrin * [Hybrid] separate ScopeEmitter from parser * [Hybrid] refactor type check * [Hybrid] refactor intrin * [Hybrid] refactor intrin, allow register external functions with argument type checking, add a testcase * [Hybrid] address comments, fix a bug in te/ir.h * [Hybrid] remove type check * [Hybrid] refactor intrin, scope_handler, special_stmt * [Hybrid] address comments * [Hybrid] clean code, improve error reporting & testcase * [Hybrid] clean code * [Hybrid] clean code [IR] introduce dependency graph and write map [TE] refactor and clean codebase [TE] refactor IR [TE] introduce schedule, dependency graph and support fuse and split (apache#17) * fix lint * introduce dependency graph * enable create schedule * support get axes * fix lint * revert Set * add schedule primitive fuse * address comment * support split [IR] Introduce SeqStmt add TeLower pass and enable to run Te IR (apache#15) * add function data structure add TeLower pass to transform Te to current IR enable to run Te IR * address comments * unify terminology TensorIR data structure init (apache#14) * init te data structure * finish printer and enhanced ir_builder * address the comments Co-authored-by: Bohan Hou <[email protected]>

…ort for call_dps (apache#15) * update parser and printer for match_shape * support parsing class to IRModule, and extern func in call_dps

SIM-3266: bump: version 0.3 Approved-by: Lam Nguyen

…t_value) (apache#15) * rename transparency * dependabot fix * update transparency. * update plugin * remove redundant transparency * dsl benchmark scirpts * update submodule. * remove redundant code. * remove transparency * fix propagate map issue * implement in register dequantize config * optimize target * fix tag. * fix some issues on ampere game device * finetune with data distribution. * fill matmul benchmarking scripts * refactor use_async_copy to bool value * support af format * format fix * support propagate input transform for dequantization. * update requirements * update requirements.txt * update af4 related tests. * clean test * naive support for dynamic zeros * move to bitdistiller * implement lop3 with zeros cpp test * implement fast decoding with zeros * update zero generation support. * Bump transformers from 4.29.2 to 4.36.0 Bumps [transformers](https://github.com/huggingface/transformers) from 4.29.2 to 4.36.0. - [Release notes](https://github.com/huggingface/transformers/releases) - [Commits](huggingface/transformers@v4.29.2...v4.36.0) --- updated-dependencies: - dependency-name: transformers dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> * Bump pillow from 9.4.0 to 10.2.0 Bumps [pillow](https://github.com/python-pillow/Pillow) from 9.4.0 to 10.2.0. - [Release notes](https://github.com/python-pillow/Pillow/releases) - [Changelog](https://github.com/python-pillow/Pillow/blob/main/CHANGES.rst) - [Commits](python-pillow/Pillow@9.4.0...10.2.0) --- updated-dependencies: - dependency-name: pillow dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> * Bump tornado from 6.2 to 6.3.3 Bumps [tornado](https://github.com/tornadoweb/tornado) from 6.2 to 6.3.3. - [Changelog](https://github.com/tornadoweb/tornado/blob/master/docs/releases.rst) - [Commits](tornadoweb/tornado@v6.2.0...v6.3.3) --- updated-dependencies: - dependency-name: tornado dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> * Bump scipy from 1.5.3 to 1.11.1 Bumps [scipy](https://github.com/scipy/scipy) from 1.5.3 to 1.11.1. - [Release notes](https://github.com/scipy/scipy/releases) - [Commits](scipy/scipy@v1.5.3...v1.11.1) --- updated-dependencies: - dependency-name: scipy dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> * Bump jinja2 from 3.1.2 to 3.1.3 Bumps [jinja2](https://github.com/pallets/jinja) from 3.1.2 to 3.1.3. - [Release notes](https://github.com/pallets/jinja/releases) - [Changelog](https://github.com/pallets/jinja/blob/main/CHANGES.rst) - [Commits](pallets/jinja@3.1.2...3.1.3) --- updated-dependencies: - dependency-name: jinja2 dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> * Bump pygments from 2.2.0 to 2.15.0 Bumps [pygments](https://github.com/pygments/pygments) from 2.2.0 to 2.15.0. - [Release notes](https://github.com/pygments/pygments/releases) - [Changelog](https://github.com/pygments/pygments/blob/master/CHANGES) - [Commits](pygments/pygments@2.2.0...2.15.0) --- updated-dependencies: - dependency-name: pygments dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> * Bump pygments from 2.13.0 to 2.15.0 Bumps [pygments](https://github.com/pygments/pygments) from 2.13.0 to 2.15.0. - [Release notes](https://github.com/pygments/pygments/releases) - [Changelog](https://github.com/pygments/pygments/blob/master/CHANGES) - [Commits](pygments/pygments@2.13.0...2.15.0) --- updated-dependencies: - dependency-name: pygments dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> * update requirements and matmul. * support fast decode for int8 related items * improve pass context * update benchmark related figures. * update benchmark readme * reorganize readme * refactor readme * update benchmark readme * refactor quant linear for bisect * update tvm submodule * fix blockIdx related * update bitditiller related. * update zero type related test * implement zero types support * implement zero types support * fix lop3 permuteta issue. * fix weight executor bug. * improve typing * resolve performance related items * add implementation for dequantization with dynamic symbolic * fix ladder transform related issues. * improve ladder permutation for dequantization * enhance dynamic symbolic for matmul_impl * improve support for dynamic symbolic * update tvm dependency * implement operator cache. * refactor print to logging * append setup.py and remove tvm pythonpath dependency. * update ignore * improve installation scripts * update scaling benchmark of 1bit * int8xint1 lop3 support. * replace with to_torch_func * license related fix * update contributing.md * autogptq support. * refactor docs * refactor * refactor docs * typo fix * implement disk cache * refactor codegen to get_source * support get weight shape. * Update dependabot.yml * Update dependabot.yml * Update dependabot.yml * Update dependabot.yml * Update dependabot.yml * Update requirements.txt * Update requirements.txt * Update requirements.txt * refactor propagate into transform kind * Update dependabot.yml * implement scale and zero layout propagation * typo fix * refactor codes * fix performance issue of dequantize propagate * refactor print * fix gemv scale bugs * refactor ops configs * improve tensor_adapter * implement trick wrapper for integration * code refactor * SUPPORT.md commit * spell check * improve for linting * overal lint improvements * Add copyright and license information * improve contributing * Fix PYTHONPATH export in installation script and update BitBLAS package * Update benchmark section in README.md * Update performance benchmarks and integration details * Fix typo in README.md * Refactor index map logging in matmul_analysis.py * Add .ruff_cache to .gitignore * Add _tir_u32_to_f4_to_f16 function to quantization module * Update performance benchmark images * Update benchmark configurations * Update benchmark information in README.md * Refactor code for improved performance and readability * convolution impl support * Refactor convolution2d_impl.py and test_auto_normalized_tensorcore.py * Fix code formatting and remove unnecessary code * Update TensorCore GEMM Performance Comparison * Update TensorCore GEMM performance comparison on A100 and RTX4090 * Refactor propagate_inputs method in TensorCorePolicy * Fix BitBLAS import and remove debug print statements * Add end-to-end integration with Quantize Inference Kernel for AutoGPTQ and vLLM * Fix import order and handle exception in benchmark scripts * Update TVM subproject commit * Update TileDevice class names in bitblas package * Update imports in roller module * Update images * Update images * Update end2end_llama_13b_vllm.png * Update trademark and acknowledgement section * Update benchmark images for consistent GEMM operations * Add test case for decoding UInt4 to Float16 with scaling and zeros quantized * Remove benchmarking code for int4 on a specific target * Update image files and add new functions for quantization and rasterization * fix rescale and original lop3. * Add integration example of FasterTransformers with BitBLAS * Update integration example of FasterTransformer with BitBLAS * Update requirements-dev.txt and requirements.txt * Add LLVM download and extraction functionality * Update FasterTransformer.gif * Update BitBLAS version and requirements * Update BitBLAS import paths and add support for installing and developing TVM * Add GPU intrinsics module for BitBLAS * Update requirements-dev.txt and requirements.txt * Refactor import paths in BitBLAS GPU modules * Update installation guide in Installation.md * Refactor MatmulConfig class in matmul.py for improved readability and maintainability * Refactor MatmulConfig class in matmul.py for improved readability and maintainability * Refactor MatmulConfig class in matmul.py for improved readability and maintainability * Update installation guide and QuickStart link in README.md * Update installation guide and QuickStart link in README.md * Append Default Schedule Fallback * Refactor requirements-dev.txt and fix newline issue in arch_base.py * Fix typo in check_mit_license.sh * imrpove the target detection. * Improve target detection and fix typos in code * Fix auto-inline spacing issue in MatmulTensorizationMMAWithDequantizeInfo class * Improve target detection and fix typos in code * transform to submit * Add support for weight_dtype transformation in MatmulWeightOnlyDequantizeConfig * Update zeros_type to zeros_mode in code blocks * update README * update README * Fix import errors and update paths in code * Update variable names in test_bitblas_linear.py and __init__.py * Update imports and add new function in quantization and cache modules * Update README with support matrix table * Update support matrix table and benchmark configurations * Update support matrix table and benchmark configurations * Update support matrix table and benchmark configurations * Update support matrix table and benchmark configurations * Update support matrix table and benchmark configurations * Update import statements and add new functions in quantization and cache modules * Fix default dynamic range for M in MatmulConfig * Update support matrix table with new tested platforms and Out_dtype column * Refactor code for mixed-precision matrix multiplication and update support matrix table * Refactor code for mixed-precision matrix multiplication and update support matrix table * Update MatmulConfig initialization in QuickStart.md * Update support matrix table with new tested platforms and INT32/FP16/INT8 support * Refactor code for mixed-precision matrix multiplication and update support matrix table * Update link to code implementation in QuickStart.md * Disable tuning for initial bitblas operator creation * Update linear transformation description in PythonAPI.md * Update MatmulConfig in PythonAPI.md * convert af format to nf * Enable hardware-aware tuning for bitblas operators * Refactor code for mixed-precision matrix multiplication and update support matrix table * Update support matrix table with new tested platforms and INT32/FP16/INT8 support * Update OperatorConfig.md with matrix multiplication configuration details * code refactor * Fix capitalization in QuickStart.md * update ReadME * Refactor setup.py to remove unnecessary code and improve readability * refactor infeatures to infeatures * update README.md * Fix incorrect data type mapping in general_matmul.py * update doc * Refactor variable names in bitblas_linear.py and bitblas_quant_linear.py * uncomments some case * Add BITBLAS_DATABASE_PATH constant to OperatorCache and update load_global_ops_cache function * Refactor variable names in bitblas_linear.py and bitblas_quant_linear.py * Refactor variable names in bitblas_linear.py and bitblas_quant_linear.py * Update dependencies in requirements-dev.txt and requirements.txt * Refactor variable names in bitblas_linear.py and bitblas_quant_linear.py * Fix BITBLAS_DATABASE_PATH constant assignment in OperatorCache * Refactor variable names in bitblas_linear.py and bitblas_quant_linear.py * Refactor variable names in bitblas_linear.py and bitblas_quant_linear.py * update install * Refactor variable names in setup.py and build_tvm function * append linear benchmark scripts * simple bug fix * Update BitBLAS installation instructions for Ubuntu 20.04 * Refactor variable names and add output print statements for debugging * Refactor variable names and update dependencies * Update BitBLAS installation instructions for Ubuntu 20.04 and add note about Linux support * Refactor logging handler and set log level in BitBLAS module * Bump version to 0.0.1 * Implement BitNET LOP3 Test * Refactor variable names and update dependencies * Refactor variable names and update dependencies in quantization module --------- Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Lingxiao Ma <[email protected]>

[RUNTIME] Add interface header of runtime

9c6fc2e

tqchen requested a review from icemelon January 16, 2017 06:11

icemelon approved these changes Jan 16, 2017

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fix mac build

587b993

tqchen merged commit 7e02523 into master Jan 16, 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

[Pass] Check in infershape, move indexedgraph to graph.h (apache#15)

c75e44c

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

fix segfault when op is unset (apache#15)

4fd8891

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

[Pass] Check in infershape, move indexedgraph to graph.h (#15)

9135bc0

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

fix segfault when op is unset (#15)

7cbfb60

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

[Pass] Check in infershape, move indexedgraph to graph.h (apache#15)

bd20bfd

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

fix segfault when op is unset (apache#15)

48038a9

sergei-mironov pushed a commit to sergei-mironov/tvm that referenced this pull request Aug 8, 2018

[Pass] Check in infershape, move indexedgraph to graph.h (apache#15)

95e2400

sergei-mironov pushed a commit to sergei-mironov/tvm that referenced this pull request Aug 8, 2018

fix segfault when op is unset (apache#15)

90654f0

jdavies-huawei added a commit to jdavies-huawei/tvm that referenced this pull request Apr 8, 2019

Issue apache#15. Remove ComputeRealizeBounds, by enhancing InferBound…

8246c57

… to return variable loop extents.

u99127 mentioned this pull request Jun 1, 2019

Implementation of uTVM #3227

Merged

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

Add XGBModel & RPCRunnerWarpper (apache#15)

b839c0f

* Add XGBModel & RPCRunnerWarpper * Revert "Add Parallel Granularity Mutation"

ZihengJiang added a commit to ZihengJiang/tvm that referenced this pull request Nov 26, 2020

Fix for serialization. (apache#15)

3fdcc4b

* Fix for serialization. * Update.

hypercubestart pushed a commit to hypercubestart/incubator-tvm that referenced this pull request Mar 12, 2021

Fix for serialization. (apache#15)

b8b07ad

* Fix for serialization. * Update.

wjj19950828 pushed a commit to wjj19950828/tvm that referenced this pull request Sep 6, 2021

Merge pull request apache#15 from jiangjiajun/add_operators

0de33bf

Add operators

MasterJH5574 added a commit to MasterJH5574/tvm that referenced this pull request Nov 11, 2021

Move tests (apache#15)

2a9e3bd

MasterJH5574 added a commit to MasterJH5574/tvm that referenced this pull request Nov 20, 2021

Move tests (apache#15)

995e2f4

MasterJH5574 added a commit to MasterJH5574/tvm that referenced this pull request Nov 24, 2021

Move tests (apache#15)

3936e93

MasterJH5574 added a commit to MasterJH5574/tvm that referenced this pull request Dec 24, 2021

Move tests (apache#15)

1ec1893

adstraw pushed a commit to adstraw/tvm that referenced this pull request Mar 21, 2023

[HMX] Support different spatial layouts apache#15

ae49fe4

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

Merged in SIM-3266 (pull request apache#15)

9fa8940

SIM-3266: bump: version 0.3 Approved-by: Lam Nguyen

MasterJH5574 pushed a commit to MasterJH5574/tvm that referenced this pull request Dec 4, 2024

Monodepth (apache#15)

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[RUNTIME] Add interface header of runtime #15

[RUNTIME] Add interface header of runtime #15

tqchen commented Jan 16, 2017

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[RUNTIME] Add interface header of runtime #15

[RUNTIME] Add interface header of runtime #15

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