CXX API Todo #3
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tqchen
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tqchen
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tqchen
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sergei-mironov
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sergei-mironov
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Aug 8, 2018
jroesch
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Aug 29, 2018
* Update TVM Version * Fix Lint and Jenkins * fix workspace * fix doxygen complain * move test to nose
tmoreau89
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tmoreau89
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tmoreau89
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Mar 22, 2019
Merged
weberlo
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Jun 20, 2019
* Reorder LowLevelDevice interface * Store shared ptr to session in all alloced objects * Rename `micro_build` to `build`
prashantsail
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May 14, 2020
Merge back from upstream(apache) to origin(local dev)
jcf94
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Jun 22, 2020
* Split transform_step out * Update GetProducers & GetConsumers * Update UTs * Add UT for CacheReadWrite & Some bug fix
tqchen
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Jul 15, 2020
…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]>
weberlo
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Aug 6, 2020
add more common cfg to DefaultOptions
CloudManX
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Sep 15, 2020
…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]>
rohanmukh
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Oct 2, 2020
* InferType fix * Skip annotation passes for non-main funcs Co-authored-by: Rohan Mukherjee <[email protected]>
zhiics
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Oct 3, 2020
* Change onnx importer to use dynamic upsampling3d (#3) fix pylint * Refactor ONNX frontend to be dynamic Make OneHot dynamic Support BatchMatMul with dynamically shaped inputs fix dynamic broadcast Add null checks to broadcast_to rel functions fail more isolated broadcast_to test use StructuralEqual instead of pointer comparisions in dynamic_to_static pass add an optional weight freeze argument to onnx importer convert onnx resize to dynamic op add dynamic expand to onnx importer add a shape_func for power fix BERTSquad, lint handle onnx graph initializer parameters more intelligently * Dynamic ONNX importer: Upsampling and Pad (#2) fix lint fix Call reference fix a type issue with expand fix a bad test refactor respond to review comments, fix batch matmul tests * black format * fix batch matmul test * add dynamic strided slice to the onnx importer * fix clip importer * fix qnn tutorial * fix bad merge, respond to review comments * add a simple dynamic model test * Add dynamic-shaped autopadding to convolution and pooling ops * fix dynamic issues in a few ops * fix pylint * disable tests onnxrt doesn't support * fix pytorch test * respond to review comments * add documentation about partially supporting dynamic shapes Co-authored-by: Lily Orth-Smith <[email protected]>
CloudManX
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Oct 30, 2020
* Change onnx importer to use dynamic upsampling3d (apache#3) fix pylint * Refactor ONNX frontend to be dynamic Make OneHot dynamic Support BatchMatMul with dynamically shaped inputs fix dynamic broadcast Add null checks to broadcast_to rel functions fail more isolated broadcast_to test use StructuralEqual instead of pointer comparisions in dynamic_to_static pass add an optional weight freeze argument to onnx importer convert onnx resize to dynamic op add dynamic expand to onnx importer add a shape_func for power fix BERTSquad, lint handle onnx graph initializer parameters more intelligently * Dynamic ONNX importer: Upsampling and Pad (apache#2) fix lint fix Call reference fix a type issue with expand fix a bad test refactor respond to review comments, fix batch matmul tests * black format * fix batch matmul test * add dynamic strided slice to the onnx importer * fix clip importer * fix qnn tutorial * fix bad merge, respond to review comments * add a simple dynamic model test * Add dynamic-shaped autopadding to convolution and pooling ops * fix dynamic issues in a few ops * fix pylint * disable tests onnxrt doesn't support * fix pytorch test * respond to review comments * add documentation about partially supporting dynamic shapes Co-authored-by: Lily Orth-Smith <[email protected]>
CloudManX
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Oct 30, 2020
* Change onnx importer to use dynamic upsampling3d (apache#3) fix pylint * Refactor ONNX frontend to be dynamic Make OneHot dynamic Support BatchMatMul with dynamically shaped inputs fix dynamic broadcast Add null checks to broadcast_to rel functions fail more isolated broadcast_to test use StructuralEqual instead of pointer comparisions in dynamic_to_static pass add an optional weight freeze argument to onnx importer convert onnx resize to dynamic op add dynamic expand to onnx importer add a shape_func for power fix BERTSquad, lint handle onnx graph initializer parameters more intelligently * Dynamic ONNX importer: Upsampling and Pad (apache#2) fix lint fix Call reference fix a type issue with expand fix a bad test refactor respond to review comments, fix batch matmul tests * black format * fix batch matmul test * add dynamic strided slice to the onnx importer * fix clip importer * fix qnn tutorial * fix bad merge, respond to review comments * add a simple dynamic model test * Add dynamic-shaped autopadding to convolution and pooling ops * fix dynamic issues in a few ops * fix pylint * disable tests onnxrt doesn't support * fix pytorch test * respond to review comments * add documentation about partially supporting dynamic shapes Co-authored-by: Lily Orth-Smith <[email protected]>
ZihengJiang
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Nov 26, 2020
* Changes for TF/PT Rn50 * Refactoring * Comments
wyanzhao
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Dec 9, 2020
* [CI] Add vta path to cpptest * [DOCS] Points docs to the ASF site
monklof
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Jan 22, 2021
…m_data:master to master * commit 'cd0d52daa6942bdafa9363ff6cfa3d25fcd5b8d6': (824 commits) [Intrinsic] Add log1p, ldexp, atan2, hypot, nextafter, copysign (apache#5312) [Rust][CI] Restore Rust CI (apache#5137) Remove PrimExpr from String (apache#5311) [Requantize] Cleanup and Optimize Lowering (apache#5286) [IR][TRANSFORM] Enable CopyOnWrite for passes. (apache#5309) [PYTORCH]Abs, Arange, Softplus ops (apache#5295) [LLVM] Fix generation of LLVM intrinsics (apache#5282) [BYOC] Add example of Composite + Annotate for DNNL fused op (apache#5272) [Frontend][TensorFlow]Improve TensorFlow Static Shape Tensor Array (apache#5243) [RUNTIME] Introduce RValue reference(move) support to TypedPackedFunc (apache#5271) [RELAY][FRONTEND][CAFFE2] add Mul and ConvTranspose operator (apache#5302) [BYOC] Refine AnnotateTarget and MergeCompilerRegion Passes (apache#5277) [CI] Fix the hexagon string (apache#5304) [Arith] linear system and equation solver (apache#5171) [PYTORCH]Repeat, Reciprocal & Reshape Op support (apache#5280) [FRONTEND][TENSORFLOW] Fix gather_nd indices (apache#5279) Update device_annotation.cc (apache#5291) [REFACTOR][IR] Move to runtime::String (apache#5276) [NDArray] Set shape_ in NDArray::FromDLPack (apache#5301) [RUNTIME] Initial implementation of Hexagon runtime support (apache#5252) ...
zxybazh
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Feb 21, 2022
[Meta Schedule][M3c] Schedule Rules, Mutator & Postprocs (apache#485) [Meta Schedule][M3c] PostOrderApply (apache#486) Fix Post Order Apply (apache#490) [MetaSchedule] Relay Integration (apache#489) [M3c][Meta Schedule] Add Trace Correctness Test for PostOrderApply (apache#492) Fix replay trace. (apache#493) [M3c][Meta Schedule] Implement the Replay Func class. (apache#495) [PR] Test script for meta-schedule task extraction. Interface to load… (apache#494) [Meta Schedule Refactor] Get child blocks (apache#500) Read-at && Write-at (apache#497) [M3c][Meta Schedule] Measure Callbacks (apache#498) [Bug] Fix Infinite Loop Caused When Calling Methods Not Overrided In PyClass (apache#496) [MetaSchedule] Sample-Perfect-Tile (apache#501) [MetaSchedule] TE Workloads (apache#502) [TensorIR] GetProducer, GetConsumer (apache#506) [MetaScheduleRefactor] Annotate&Unannotate (apache#505) [MetaSchedule] Multi-Level-Tiling & Auto-Inline (apache#503) [Tests] Add unittests for auto-inline and multi-level-tiling (apache#508) [Meta Schedule] Minor Fixes (apache#507) [MetaSchedule] Rewrite Cooperative-Fetching / Unbound-Block / Reduction-Block (apache#509) [MetaSchedule] Rewrite Parallel-Vectorize-Unroll / Verify-GPU / Disallow-Dynamic-Loops (apache#499) [Meta Schedule] Add Helper Function & Minor Modification (apache#512) [MetaSchedule] Test for Rewrite Parallel-Vectorize-Unroll (apache#513) [Meta Schedule] Feature Extractor & Cost Model (apache#510) Blockize & Tensorize (apache#514) Layout Rewriting: Suggest-Index-Map (apache#520) [MetaSchedule] Parallel-Vectorize-Unroll & Random-Compute-Location (apache#516) [Meta Schedule] Per-Store-Feature (apache#521) Add traced schedule for blockize & tensorize (apache#526) [Meta Schedule] Add XGBoost Model & Random Model (apache#519) User-Interface: Tune-TIR (apache#525) User-Interface: Tune-TE (apache#527) [Minor] More logging on python (apache#528) Get CUDA tuning working (apache#529) [MetaSchedule] TensorRT BYOC (apache#518) [BugFix] LocalBuilder API (apache#531) [Meta Schedule] Add Cost Model Update Measure Callback (apache#530) [Bugfix] BuilderInput with default params (apache#532) [MetaSchedule] Mutator-Tile-Size, Mutate-Parallel, Mutate-Unroll (apache#534) [Meta Schedule] Evolutionary Search (apache#522) [BugFix] Remove duplicated definition of MakeMultinomialSampler (apache#535) [Meta Schedule] Fix some bugs (apache#537) Initiate Experiments for CPU Performance Alignment with Ansor (apache#538) [Meta Schedule] Tweak experiment scripts (apache#539) [Meta Schedule] Initiate experiments on CUDA (apache#540) [TIR][Schedule] Buffer transform (apache#523) Auto Tensor Core (apache#524) Working on Evo Search (apache#542) [Meta Schedule] Add Replay Tuning Interface (apache#543) Evolutionary Search on CPU (apache#544) Misc improvement over the error message (apache#545) [TIR][Schedule] Software pipelining (apache#533) [Meta Schedule Refactor] fixing unit tests (apache#547) [MetaSchedule] Mutator-Compute-Location (apache#548) Misc Improvement of Evolutionary Search (apache#549) Hotfix for software pipeline (apache#552) Misc Improvement (apache#550) [Cherry-Pick][TensorIR] Primitive "SetScope" (apache#9738) (apache#555) Rule RFactor (apache#551) [MemHammer] Rewrite Rules (apache#554) [MetaSchedule] Schedule Rule: Cross-Thread Reduction (apache#556) [MetaSchedule] Performance Alignment - NRM and SFM (CUDA) (apache#559) [MetaSchedule] Perf Alignment - NRM on CUDA (apache#560) [TIR] Reorder the block iters of the blocks generated by RFactor (apache#561) Removing 2 unit tests for software pipelining (apache#562) [MemHammer] Lower Pass + Unittests (apache#557) Perf Align: Remove Auto-inline before Multi-level-tiling (apache#564) Fix Sketch Generation Unittests (apache#565) speed up VerifyGpuCode (apache#568) [Performance Align] fixing codegen problems (apache#569) [Meta schedule] improve search space (apache#1) Hot fix for bound predicate (apache#3) [Meta Schedule] Update Tune Relay (apache#4) [Performance Align] fixing codegen problems (apache#5) [PerfAlign] NRM & SFM on Raspi Aligned (apache#6) [BugFix] Apply bound predicate directly to loops when possible (apache#12) [BugFix] Fix CrossThreadReduction on CUDA (apache#13) [MetaSchedule] Enable BertTuning with MetaScheduler (apache#11) [Minor][MemHammer] Minor tweaks in code review (apache#14) [Meta Schedule] Add customizable search space to PostOrderApply. (apache#16) Fix cooperative fetching (apache#17) Fixes for codegen (apache#18) [Hotfix] A unittest (apache#19) Fix for GRP sketch gen (apache#21) Add threadIdx filtering in Multi-Level-Tiling and Verify-GPU-Code (apache#20) [BugFix][TIR] Fix cross-thread reduction when single reduction loop with predicate (apache#10016) (apache#22) [MemHammer][Refactor] Code Review (apache#15) [Meta Schedule] Add Winograd Test for Customizable Search Space (apache#24) Import & Cache Mechanism (apache#26) [BugFix] Fix Winograd Test Script (apache#25) Add task extraction & caching (apache#27) A few fixes for task extraction (apache#28) Co-authored-by: Siyuan Feng <[email protected]> Co-authored-by: Bohan Hou <[email protected]> Co-authored-by: Hongyi Jin <[email protected]> Co-authored-by: Ruihang Lai <[email protected]> Co-authored-by: Junru Shao <[email protected]> Co-authored-by: Wuwei Lin <[email protected]> Co-authored-by: Sunghyun Park <[email protected]> Co-authored-by: Xiyou Zhou <[email protected]>
zxybazh
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Feb 21, 2022
[Meta Schedule][M3c] Schedule Rules, Mutator & Postprocs (apache#485) [Meta Schedule][M3c] PostOrderApply (apache#486) Fix Post Order Apply (apache#490) [MetaSchedule] Relay Integration (apache#489) [M3c][Meta Schedule] Add Trace Correctness Test for PostOrderApply (apache#492) Fix replay trace. (apache#493) [M3c][Meta Schedule] Implement the Replay Func class. (apache#495) [PR] Test script for meta-schedule task extraction. Interface to load… (apache#494) [Meta Schedule Refactor] Get child blocks (apache#500) Read-at && Write-at (apache#497) [M3c][Meta Schedule] Measure Callbacks (apache#498) [Bug] Fix Infinite Loop Caused When Calling Methods Not Overrided In PyClass (apache#496) [MetaSchedule] Sample-Perfect-Tile (apache#501) [MetaSchedule] TE Workloads (apache#502) [TensorIR] GetProducer, GetConsumer (apache#506) [MetaScheduleRefactor] Annotate&Unannotate (apache#505) [MetaSchedule] Multi-Level-Tiling & Auto-Inline (apache#503) [Tests] Add unittests for auto-inline and multi-level-tiling (apache#508) [Meta Schedule] Minor Fixes (apache#507) [MetaSchedule] Rewrite Cooperative-Fetching / Unbound-Block / Reduction-Block (apache#509) [MetaSchedule] Rewrite Parallel-Vectorize-Unroll / Verify-GPU / Disallow-Dynamic-Loops (apache#499) [Meta Schedule] Add Helper Function & Minor Modification (apache#512) [MetaSchedule] Test for Rewrite Parallel-Vectorize-Unroll (apache#513) [Meta Schedule] Feature Extractor & Cost Model (apache#510) Blockize & Tensorize (apache#514) Layout Rewriting: Suggest-Index-Map (apache#520) [MetaSchedule] Parallel-Vectorize-Unroll & Random-Compute-Location (apache#516) [Meta Schedule] Per-Store-Feature (apache#521) Add traced schedule for blockize & tensorize (apache#526) [Meta Schedule] Add XGBoost Model & Random Model (apache#519) User-Interface: Tune-TIR (apache#525) User-Interface: Tune-TE (apache#527) [Minor] More logging on python (apache#528) Get CUDA tuning working (apache#529) [MetaSchedule] TensorRT BYOC (apache#518) [BugFix] LocalBuilder API (apache#531) [Meta Schedule] Add Cost Model Update Measure Callback (apache#530) [Bugfix] BuilderInput with default params (apache#532) [MetaSchedule] Mutator-Tile-Size, Mutate-Parallel, Mutate-Unroll (apache#534) [Meta Schedule] Evolutionary Search (apache#522) [BugFix] Remove duplicated definition of MakeMultinomialSampler (apache#535) [Meta Schedule] Fix some bugs (apache#537) Initiate Experiments for CPU Performance Alignment with Ansor (apache#538) [Meta Schedule] Tweak experiment scripts (apache#539) [Meta Schedule] Initiate experiments on CUDA (apache#540) [TIR][Schedule] Buffer transform (apache#523) Auto Tensor Core (apache#524) Working on Evo Search (apache#542) [Meta Schedule] Add Replay Tuning Interface (apache#543) Evolutionary Search on CPU (apache#544) Misc improvement over the error message (apache#545) [TIR][Schedule] Software pipelining (apache#533) [Meta Schedule Refactor] fixing unit tests (apache#547) [MetaSchedule] Mutator-Compute-Location (apache#548) Misc Improvement of Evolutionary Search (apache#549) Hotfix for software pipeline (apache#552) Misc Improvement (apache#550) [Cherry-Pick][TensorIR] Primitive "SetScope" (apache#9738) (apache#555) Rule RFactor (apache#551) [MemHammer] Rewrite Rules (apache#554) [MetaSchedule] Schedule Rule: Cross-Thread Reduction (apache#556) [MetaSchedule] Performance Alignment - NRM and SFM (CUDA) (apache#559) [MetaSchedule] Perf Alignment - NRM on CUDA (apache#560) [TIR] Reorder the block iters of the blocks generated by RFactor (apache#561) Removing 2 unit tests for software pipelining (apache#562) [MemHammer] Lower Pass + Unittests (apache#557) Perf Align: Remove Auto-inline before Multi-level-tiling (apache#564) Fix Sketch Generation Unittests (apache#565) speed up VerifyGpuCode (apache#568) [Performance Align] fixing codegen problems (apache#569) [Meta schedule] improve search space (apache#1) Hot fix for bound predicate (apache#3) [Meta Schedule] Update Tune Relay (apache#4) [Performance Align] fixing codegen problems (apache#5) [PerfAlign] NRM & SFM on Raspi Aligned (apache#6) [BugFix] Apply bound predicate directly to loops when possible (apache#12) [BugFix] Fix CrossThreadReduction on CUDA (apache#13) [MetaSchedule] Enable BertTuning with MetaScheduler (apache#11) [Minor][MemHammer] Minor tweaks in code review (apache#14) [Meta Schedule] Add customizable search space to PostOrderApply. (apache#16) Fix cooperative fetching (apache#17) Fixes for codegen (apache#18) [Hotfix] A unittest (apache#19) Fix for GRP sketch gen (apache#21) Add threadIdx filtering in Multi-Level-Tiling and Verify-GPU-Code (apache#20) [BugFix][TIR] Fix cross-thread reduction when single reduction loop with predicate (apache#10016) (apache#22) [MemHammer][Refactor] Code Review (apache#15) [Meta Schedule] Add Winograd Test for Customizable Search Space (apache#24) Co-authored-by: Siyuan Feng <[email protected]> Co-authored-by: Bohan Hou <[email protected]> Co-authored-by: Hongyi Jin <[email protected]> Co-authored-by: Ruihang Lai <[email protected]> Co-authored-by: Junru Shao <[email protected]> Co-authored-by: Wuwei Lin <[email protected]> Co-authored-by: Sunghyun Park <[email protected]> Co-authored-by: Xiyou Zhou <[email protected]>
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Feb 22, 2022
[Meta Schedule][M3c] Schedule Rules, Mutator & Postprocs (apache#485) [Meta Schedule][M3c] PostOrderApply (apache#486) Fix Post Order Apply (apache#490) [MetaSchedule] Relay Integration (apache#489) [M3c][Meta Schedule] Add Trace Correctness Test for PostOrderApply (apache#492) Fix replay trace. (apache#493) [M3c][Meta Schedule] Implement the Replay Func class. (apache#495) [PR] Test script for meta-schedule task extraction. Interface to load… (apache#494) [Meta Schedule Refactor] Get child blocks (apache#500) Read-at && Write-at (apache#497) [M3c][Meta Schedule] Measure Callbacks (apache#498) [Bug] Fix Infinite Loop Caused When Calling Methods Not Overrided In PyClass (apache#496) [MetaSchedule] Sample-Perfect-Tile (apache#501) [MetaSchedule] TE Workloads (apache#502) [TensorIR] GetProducer, GetConsumer (apache#506) [MetaScheduleRefactor] Annotate&Unannotate (apache#505) [MetaSchedule] Multi-Level-Tiling & Auto-Inline (apache#503) [Tests] Add unittests for auto-inline and multi-level-tiling (apache#508) [Meta Schedule] Minor Fixes (apache#507) [MetaSchedule] Rewrite Cooperative-Fetching / Unbound-Block / Reduction-Block (apache#509) [MetaSchedule] Rewrite Parallel-Vectorize-Unroll / Verify-GPU / Disallow-Dynamic-Loops (apache#499) [Meta Schedule] Add Helper Function & Minor Modification (apache#512) [MetaSchedule] Test for Rewrite Parallel-Vectorize-Unroll (apache#513) [Meta Schedule] Feature Extractor & Cost Model (apache#510) Blockize & Tensorize (apache#514) Layout Rewriting: Suggest-Index-Map (apache#520) [MetaSchedule] Parallel-Vectorize-Unroll & Random-Compute-Location (apache#516) [Meta Schedule] Per-Store-Feature (apache#521) Add traced schedule for blockize & tensorize (apache#526) [Meta Schedule] Add XGBoost Model & Random Model (apache#519) User-Interface: Tune-TIR (apache#525) User-Interface: Tune-TE (apache#527) [Minor] More logging on python (apache#528) Get CUDA tuning working (apache#529) [MetaSchedule] TensorRT BYOC (apache#518) [BugFix] LocalBuilder API (apache#531) [Meta Schedule] Add Cost Model Update Measure Callback (apache#530) [Bugfix] BuilderInput with default params (apache#532) [MetaSchedule] Mutator-Tile-Size, Mutate-Parallel, Mutate-Unroll (apache#534) [Meta Schedule] Evolutionary Search (apache#522) [BugFix] Remove duplicated definition of MakeMultinomialSampler (apache#535) [Meta Schedule] Fix some bugs (apache#537) Initiate Experiments for CPU Performance Alignment with Ansor (apache#538) [Meta Schedule] Tweak experiment scripts (apache#539) [Meta Schedule] Initiate experiments on CUDA (apache#540) [TIR][Schedule] Buffer transform (apache#523) Auto Tensor Core (apache#524) Working on Evo Search (apache#542) [Meta Schedule] Add Replay Tuning Interface (apache#543) Evolutionary Search on CPU (apache#544) Misc improvement over the error message (apache#545) [TIR][Schedule] Software pipelining (apache#533) [Meta Schedule Refactor] fixing unit tests (apache#547) [MetaSchedule] Mutator-Compute-Location (apache#548) Misc Improvement of Evolutionary Search (apache#549) Hotfix for software pipeline (apache#552) Misc Improvement (apache#550) [Cherry-Pick][TensorIR] Primitive "SetScope" (apache#9738) (apache#555) Rule RFactor (apache#551) [MemHammer] Rewrite Rules (apache#554) [MetaSchedule] Schedule Rule: Cross-Thread Reduction (apache#556) [MetaSchedule] Performance Alignment - NRM and SFM (CUDA) (apache#559) [MetaSchedule] Perf Alignment - NRM on CUDA (apache#560) [TIR] Reorder the block iters of the blocks generated by RFactor (apache#561) Removing 2 unit tests for software pipelining (apache#562) [MemHammer] Lower Pass + Unittests (apache#557) Perf Align: Remove Auto-inline before Multi-level-tiling (apache#564) Fix Sketch Generation Unittests (apache#565) speed up VerifyGpuCode (apache#568) [Performance Align] fixing codegen problems (apache#569) [Meta schedule] improve search space (apache#1) Hot fix for bound predicate (apache#3) [Meta Schedule] Update Tune Relay (apache#4) [Performance Align] fixing codegen problems (apache#5) [PerfAlign] NRM & SFM on Raspi Aligned (apache#6) [BugFix] Apply bound predicate directly to loops when possible (apache#12) [BugFix] Fix CrossThreadReduction on CUDA (apache#13) [MetaSchedule] Enable BertTuning with MetaScheduler (apache#11) [Minor][MemHammer] Minor tweaks in code review (apache#14) [Meta Schedule] Add customizable search space to PostOrderApply. (apache#16) Fix cooperative fetching (apache#17) Fixes for codegen (apache#18) [Hotfix] A unittest (apache#19) Fix for GRP sketch gen (apache#21) Add threadIdx filtering in Multi-Level-Tiling and Verify-GPU-Code (apache#20) [BugFix][TIR] Fix cross-thread reduction when single reduction loop with predicate (apache#10016) (apache#22) [MemHammer][Refactor] Code Review (apache#15) [Meta Schedule] Add Winograd Test for Customizable Search Space (apache#24) Import & Cache Mechanism (apache#26) [BugFix] Fix Winograd Test Script (apache#25) Add task extraction & caching (apache#27) A few fixes for task extraction (apache#28) Co-authored-by: Siyuan Feng <[email protected]> Co-authored-by: Bohan Hou <[email protected]> Co-authored-by: Hongyi Jin <[email protected]> Co-authored-by: Ruihang Lai <[email protected]> Co-authored-by: Junru Shao <[email protected]> Co-authored-by: Wuwei Lin <[email protected]> Co-authored-by: Sunghyun Park <[email protected]> Co-authored-by: Xiyou Zhou <[email protected]>
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Feb 22, 2022
[Meta Schedule][M3c] Schedule Rules, Mutator & Postprocs (apache#485) [Meta Schedule][M3c] PostOrderApply (apache#486) Fix Post Order Apply (apache#490) [MetaSchedule] Relay Integration (apache#489) [M3c][Meta Schedule] Add Trace Correctness Test for PostOrderApply (apache#492) Fix replay trace. (apache#493) [M3c][Meta Schedule] Implement the Replay Func class. (apache#495) [PR] Test script for meta-schedule task extraction. Interface to load… (apache#494) [Meta Schedule Refactor] Get child blocks (apache#500) Read-at && Write-at (apache#497) [M3c][Meta Schedule] Measure Callbacks (apache#498) [Bug] Fix Infinite Loop Caused When Calling Methods Not Overrided In PyClass (apache#496) [MetaSchedule] Sample-Perfect-Tile (apache#501) [MetaSchedule] TE Workloads (apache#502) [TensorIR] GetProducer, GetConsumer (apache#506) [MetaScheduleRefactor] Annotate&Unannotate (apache#505) [MetaSchedule] Multi-Level-Tiling & Auto-Inline (apache#503) [Tests] Add unittests for auto-inline and multi-level-tiling (apache#508) [Meta Schedule] Minor Fixes (apache#507) [MetaSchedule] Rewrite Cooperative-Fetching / Unbound-Block / Reduction-Block (apache#509) [MetaSchedule] Rewrite Parallel-Vectorize-Unroll / Verify-GPU / Disallow-Dynamic-Loops (apache#499) [Meta Schedule] Add Helper Function & Minor Modification (apache#512) [MetaSchedule] Test for Rewrite Parallel-Vectorize-Unroll (apache#513) [Meta Schedule] Feature Extractor & Cost Model (apache#510) Blockize & Tensorize (apache#514) Layout Rewriting: Suggest-Index-Map (apache#520) [MetaSchedule] Parallel-Vectorize-Unroll & Random-Compute-Location (apache#516) [Meta Schedule] Per-Store-Feature (apache#521) Add traced schedule for blockize & tensorize (apache#526) [Meta Schedule] Add XGBoost Model & Random Model (apache#519) User-Interface: Tune-TIR (apache#525) User-Interface: Tune-TE (apache#527) [Minor] More logging on python (apache#528) Get CUDA tuning working (apache#529) [MetaSchedule] TensorRT BYOC (apache#518) [BugFix] LocalBuilder API (apache#531) [Meta Schedule] Add Cost Model Update Measure Callback (apache#530) [Bugfix] BuilderInput with default params (apache#532) [MetaSchedule] Mutator-Tile-Size, Mutate-Parallel, Mutate-Unroll (apache#534) [Meta Schedule] Evolutionary Search (apache#522) [BugFix] Remove duplicated definition of MakeMultinomialSampler (apache#535) [Meta Schedule] Fix some bugs (apache#537) Initiate Experiments for CPU Performance Alignment with Ansor (apache#538) [Meta Schedule] Tweak experiment scripts (apache#539) [Meta Schedule] Initiate experiments on CUDA (apache#540) [TIR][Schedule] Buffer transform (apache#523) Auto Tensor Core (apache#524) Working on Evo Search (apache#542) [Meta Schedule] Add Replay Tuning Interface (apache#543) Evolutionary Search on CPU (apache#544) Misc improvement over the error message (apache#545) [TIR][Schedule] Software pipelining (apache#533) [Meta Schedule Refactor] fixing unit tests (apache#547) [MetaSchedule] Mutator-Compute-Location (apache#548) Misc Improvement of Evolutionary Search (apache#549) Hotfix for software pipeline (apache#552) Misc Improvement (apache#550) [Cherry-Pick][TensorIR] Primitive "SetScope" (apache#9738) (apache#555) Rule RFactor (apache#551) [MemHammer] Rewrite Rules (apache#554) [MetaSchedule] Schedule Rule: Cross-Thread Reduction (apache#556) [MetaSchedule] Performance Alignment - NRM and SFM (CUDA) (apache#559) [MetaSchedule] Perf Alignment - NRM on CUDA (apache#560) [TIR] Reorder the block iters of the blocks generated by RFactor (apache#561) Removing 2 unit tests for software pipelining (apache#562) [MemHammer] Lower Pass + Unittests (apache#557) Perf Align: Remove Auto-inline before Multi-level-tiling (apache#564) Fix Sketch Generation Unittests (apache#565) speed up VerifyGpuCode (apache#568) [Performance Align] fixing codegen problems (apache#569) [Meta schedule] improve search space (apache#1) Hot fix for bound predicate (apache#3) [Meta Schedule] Update Tune Relay (apache#4) [Performance Align] fixing codegen problems (apache#5) [PerfAlign] NRM & SFM on Raspi Aligned (apache#6) [BugFix] Apply bound predicate directly to loops when possible (apache#12) [BugFix] Fix CrossThreadReduction on CUDA (apache#13) [MetaSchedule] Enable BertTuning with MetaScheduler (apache#11) [Minor][MemHammer] Minor tweaks in code review (apache#14) [Meta Schedule] Add customizable search space to PostOrderApply. (apache#16) Fix cooperative fetching (apache#17) Fixes for codegen (apache#18) [Hotfix] A unittest (apache#19) Fix for GRP sketch gen (apache#21) Add threadIdx filtering in Multi-Level-Tiling and Verify-GPU-Code (apache#20) [BugFix][TIR] Fix cross-thread reduction when single reduction loop with predicate (apache#10016) (apache#22) [MemHammer][Refactor] Code Review (apache#15) [Meta Schedule] Add Winograd Test for Customizable Search Space (apache#24) Co-authored-by: Siyuan Feng <[email protected]> Co-authored-by: Bohan Hou <[email protected]> Co-authored-by: Hongyi Jin <[email protected]> Co-authored-by: Ruihang Lai <[email protected]> Co-authored-by: Junru Shao <[email protected]> Co-authored-by: Wuwei Lin <[email protected]> Co-authored-by: Sunghyun Park <[email protected]> Co-authored-by: Xiyou Zhou <[email protected]>
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Feb 26, 2022
* Implementation of call_dps. * Implementation of PackedFuncExpr. * Test CallDPS for TIR function. * Rename. * Add header and comments. * Update. * Address comments.
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* Implementation of call_dps. * Implementation of PackedFuncExpr. * Test CallDPS for TIR function. * Rename. * Add header and comments. * Update. * Address comments.
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…-out (apache#8010) * [UnitTests] Explicitly list tests that were enabled by TVM_TEST_TARGETS but were skipped Previously, these were removed by a filter in tvm.testing._get_targets(), and weren't listed at all. With this change, they are instead removed by pytest.skipif, and show up as explicitly skipped tests in pytest's summary when using tvm.testing.parametrize_targets. * [UnitTests] Automatic parametrize_targets for tests that use (target,dev) Should make it easier to convert tests from using tvm.testing.enabled_targets to use pytest's parametrized tests instead. * [UnitTests] Added ability to explicitly exclude a target from a particular test Uses tvm_exclude_targets variable, which can be set (1) in the conftest.py to apply to a test directory, (2) in a test script to apply to that module, or (3) on an individual test function to apply to it. The @tvm.testing.exclude_targets decorator is provided for readability in case apache#3. * [UnitTests] Refactored test_topi_relu.py to use pytest.mark.parametrize * [UnitTests] Added tvm_known_failing_targets option for the unittests. Intended to mark tests that fail for a particular target, and are intended to be fixed in the future. Typically, these would result either from implementing a new test, or from an in-progress implementation of a new target. * [UnitTests] Known failing targets now marked with xfail instead of skipif * [UnitTests] Removed tvm_excluded_targets and tvm_known_failing_targets These were implemented to exclude or mark as failing an entire file or directory of tests. In https://discuss.tvm.apache.org/t/rfc-parametrized-unit-tests/9946/4, it was pointed out that the global variables would be vulnerable to typos in the names, resulting in the option being silently ignored. The decorators `@tvm.testing.exclude_targets` and `@tvm.testing.known_failing_targets` do not have this failure mode, and are the preferred version. * [UnitTests] Added helper functions to tvm.testing. - tvm.testing.parameter() defines a parameter that can be passed to tests. Tests that accept more than one parameter are run for all combinations of parameter values. - tvm.testing.parameters() defines multiple sets of parameter values. Tests that accept more than one parameter are run once for each set of parameter values. - tvm.testing.fixture() is a decorator that defines setup code. The `cache=True` argument can be passed to avoid repeating expensive setup across multiple tests. * [UnitTests] Bugfix for auto parametrizing of "target" Previously, if the @parametrize_targets were present, but had other @pytest.mark.parametrize after it, "target" would get parametrized a second time. Now, it checks more than just the closest "parametrize" marker. * [UnitTests] Renamed "cache" argument of tvm.testing.fixture to "cache_return_value" * [UnitTests] Minor updates to parametrized test implementation. As recommended by @tkonolige: - Avoid infinite loop if LLVM target isn't enabled - Update documentation for preferred use cases of tvm.testing.parametrize_targets, and recommended alternatives. * [UnitTests] Minor updates to parametrized test implementation - Documentation, removed previous example usage of tvm.testing.parametrize_targets * [UnitTests] Changed accidental use of pytest fixtures to a NameError. - Previously, a fixture function defined in a module was accessible through the global scope, and the function definition is accessible if a test function uses that name but fails to declare the fixture as a parameter. Now, it will result in a NameError instead. * [UnitTests] More careful removal of fixture functions from module global scope. - Initial implementation only checked hasattr(obj, "_pytestfixturefunction") before removing obj, which gave false positives for objects that implement __getattr__, such as caffe.layers. Now, also check that the value contained is a FixtureFunctionMarker. * [UnitTests] Copy cached values when using tvm.testing.fixture(cache_return_value=True) To avoid unit tests being able to influence each other through a shared cache, all cached fixtures are passed through copy.deepcopy prior to use. * [UnitTests] Added meta-tests for tvm.testing functionality Co-authored-by: Eric Lunderberg <[email protected]>
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[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
prateek9623
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May 1, 2022
Clamp int64 input to tvm::Integer to [INT32_MIN, INT32_MAX]
jinhongyii
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Jun 20, 2022
* Implementation of call_dps. * Implementation of PackedFuncExpr. * Test CallDPS for TIR function. * Rename. * Add header and comments. * Update. * Address comments.
jinhongyii
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Jun 20, 2022
Hzfengsy
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Jul 30, 2022
* Implementation of call_dps. * Implementation of PackedFuncExpr. * Test CallDPS for TIR function. * Rename. * Add header and comments. * Update. * Address comments.
mikepapadim
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Sep 21, 2022
* Implementation of call_dps. * Implementation of PackedFuncExpr. * Test CallDPS for TIR function. * Rename. * Add header and comments. * Update. * Address comments.
gigiblender
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Nov 3, 2022
* Implementation of call_dps. * Implementation of PackedFuncExpr. * Test CallDPS for TIR function. * Rename. * Add header and comments. * Update. * Address comments.
MasterJH5574
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* Implementation of call_dps. * Implementation of PackedFuncExpr. * Test CallDPS for TIR function. * Rename. * Add header and comments. * Update. * Address comments.
zxybazh
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Jan 20, 2023
* [IR] Introduce StructInfo * StructInfoFunctor and Analysis Support * [TVMScript] Parse type/shape annotation with StructInfo * remove runtime type assign * Remove type/shape during parsing (apache#2) * Normalizer prep: simple checks and legacy function renaming. * Struct info deduction in BlockBuilder. * Two TODOs * StructInfo Normalizer Fixes (apache#3) * StructInfo AST Fix * Fix Extern Func Deduction and shape mutator. * Update VoidStructInfo & globalvar (apache#4) * Fix passes and proper sinfo propagation. * Refactor EraseToWellDefined to Enable Remapping * [WIP] First stab at symbolic param tracking * Update EraseToWellDefined to support symbolic shape return (apache#5) * fix R.shape with ndim (apache#6) * Remove update shape/type * Address review comment, AnnotateTypeShape=>AnnotateStructInfo * Update include/tvm/script/ir_builder/relax/frame.h Co-authored-by: Ruihang Lai <[email protected]> * Address comments * Update printer to use structinfo (apache#7) * Update Error mechanism to prep for obj loc based reporting * Symbolic shape aware function call return value derivation. The main flow works as follows: - Match and populate shape_var_map and var_map by visit each pair of param and call arguments. - Call EraseToWellDefined to map the ret parameter to new result. * [ANALYSIS] Refactor well-form to only look at struct info. * Update comments according to reviews. * Update include/tvm/relax/struct_info.h Co-authored-by: Ruihang Lai <[email protected]> Co-authored-by: Siyuan Feng <[email protected]> Co-authored-by: Tianqi Chen <tqchen> Co-authored-by: Ruihang Lai <[email protected]>
csullivan
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Feb 7, 2023
* Implementation of call_dps. * Implementation of PackedFuncExpr. * Test CallDPS for TIR function. * Rename. * Add header and comments. * Update. * Address comments.
csullivan
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Feb 7, 2023
* [IR] Introduce StructInfo * StructInfoFunctor and Analysis Support * [TVMScript] Parse type/shape annotation with StructInfo * remove runtime type assign * Remove type/shape during parsing (apache#2) * Normalizer prep: simple checks and legacy function renaming. * Struct info deduction in BlockBuilder. * Two TODOs * StructInfo Normalizer Fixes (apache#3) * StructInfo AST Fix * Fix Extern Func Deduction and shape mutator. * Update VoidStructInfo & globalvar (apache#4) * Fix passes and proper sinfo propagation. * Refactor EraseToWellDefined to Enable Remapping * [WIP] First stab at symbolic param tracking * Update EraseToWellDefined to support symbolic shape return (apache#5) * fix R.shape with ndim (apache#6) * Remove update shape/type * Address review comment, AnnotateTypeShape=>AnnotateStructInfo * Update include/tvm/script/ir_builder/relax/frame.h Co-authored-by: Ruihang Lai <[email protected]> * Address comments * Update printer to use structinfo (apache#7) * Update Error mechanism to prep for obj loc based reporting * Symbolic shape aware function call return value derivation. The main flow works as follows: - Match and populate shape_var_map and var_map by visit each pair of param and call arguments. - Call EraseToWellDefined to map the ret parameter to new result. * [ANALYSIS] Refactor well-form to only look at struct info. * Update comments according to reviews. * Update include/tvm/relax/struct_info.h Co-authored-by: Ruihang Lai <[email protected]> Co-authored-by: Siyuan Feng <[email protected]> Co-authored-by: Tianqi Chen <tqchen> Co-authored-by: Ruihang Lai <[email protected]>
wangzy0327
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Mar 3, 2023
[SYCL] Support auto_scheduler
Lunderberg
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Mar 3, 2023
* Implementation of call_dps. * Implementation of PackedFuncExpr. * Test CallDPS for TIR function. * Rename. * Add header and comments. * Update. * Address comments.
Lunderberg
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Mar 3, 2023
* [IR] Introduce StructInfo * StructInfoFunctor and Analysis Support * [TVMScript] Parse type/shape annotation with StructInfo * remove runtime type assign * Remove type/shape during parsing (apache#2) * Normalizer prep: simple checks and legacy function renaming. * Struct info deduction in BlockBuilder. * Two TODOs * StructInfo Normalizer Fixes (apache#3) * StructInfo AST Fix * Fix Extern Func Deduction and shape mutator. * Update VoidStructInfo & globalvar (apache#4) * Fix passes and proper sinfo propagation. * Refactor EraseToWellDefined to Enable Remapping * [WIP] First stab at symbolic param tracking * Update EraseToWellDefined to support symbolic shape return (apache#5) * fix R.shape with ndim (apache#6) * Remove update shape/type * Address review comment, AnnotateTypeShape=>AnnotateStructInfo * Update include/tvm/script/ir_builder/relax/frame.h Co-authored-by: Ruihang Lai <[email protected]> * Address comments * Update printer to use structinfo (apache#7) * Update Error mechanism to prep for obj loc based reporting * Symbolic shape aware function call return value derivation. The main flow works as follows: - Match and populate shape_var_map and var_map by visit each pair of param and call arguments. - Call EraseToWellDefined to map the ret parameter to new result. * [ANALYSIS] Refactor well-form to only look at struct info. * Update comments according to reviews. * Update include/tvm/relax/struct_info.h Co-authored-by: Ruihang Lai <[email protected]> Co-authored-by: Siyuan Feng <[email protected]> Co-authored-by: Tianqi Chen <tqchen> Co-authored-by: Ruihang Lai <[email protected]>
mikeseven
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Sep 27, 2023
SIM-2981: Fix Versioning For Python Packages Approved-by: Jeffrey Uong
LeiWang1999
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Oct 5, 2024
MasterJH5574
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Oct 27, 2024
* impl wrapper for json args * fix * fix --------- Co-authored-by: Hongyi Jin <[email protected]>
LeiWang1999
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Nov 8, 2024
* update depenabot pipeline * update codeql * fix uint32 zero issue * initial transparency. * enhance transparency.
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