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CXX API Todo #3

Closed
tqchen opened this issue Oct 20, 2016 · 0 comments
Closed

CXX API Todo #3

tqchen opened this issue Oct 20, 2016 · 0 comments

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@tqchen
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tqchen commented Oct 20, 2016 •
edited by icemelon
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  • Tensor
    - InferInputDomain @icemelon9
  • Schedule @tqchen
  • Split @tqchen
  • Buffer
  • Codegen
@tqchen tqchen closed this as completed Oct 27, 2016
@haolongzhangm haolongzhangm mentioned this issue Nov 15, 2017
Closed
tqchen referenced this issue in tqchen/tvm May 26, 2018
@tqchen
[C API] add in C API for symbolic (#3)
2e2a7ec
tqchen referenced this issue in tqchen/tvm May 26, 2018
@tqchen
[TOP] Level1 complete (#3)
d047238
tqchen added a commit that referenced this issue May 29, 2018
@tqchen
[C API] add in C API for symbolic (#3)
1800e56
tqchen added a commit that referenced this issue May 29, 2018
@tqchen
[TOP] Level1 complete (#3)
25bc9ca
tqchen referenced this issue in tqchen/tvm Jul 6, 2018
@tqchen
[C API] add in C API for symbolic (#3)
39dfff8
tqchen referenced this issue in tqchen/tvm Jul 6, 2018
@tqchen
[TOP] Level1 complete (#3)
986caf7
sergei-mironov referenced this issue in sergei-mironov/tvm Aug 8, 2018
@tqchen @sergei-mironov
[C API] add in C API for symbolic (#3)
2fe3d48
sergei-mironov referenced this issue in sergei-mironov/tvm Aug 8, 2018
@tqchen @sergei-mironov
[TOP] Level1 complete (#3)
1b3e392
jroesch referenced this issue in jroesch/tvm Aug 29, 2018
@tqchen @jroesch
Update TVM Version, Init Jenkins, Fix Lint (#3)
40771ef 
* Update TVM Version

* Fix Lint and Jenkins

* fix workspace

* fix doxygen complain

* move test to nose
tmoreau89 added a commit to tmoreau89/tvm that referenced this issue Jan 2, 2019
@tmoreau89
[Hardware] Multiplier integration, new vta conf format (apache#3)
092d159
tmoreau89 added a commit to tmoreau89/tvm that referenced this issue Mar 22, 2019
@tmoreau89
[Hardware] Multiplier integration, new vta conf format (apache#3)
e7be16a
tmoreau89 added a commit to tmoreau89/tvm that referenced this issue Mar 22, 2019
@tmoreau89
[Hardware] Multiplier integration, new vta conf format (apache#3)
9ebaf47
@u99127 u99127 mentioned this issue Jun 1, 2019
Merged
weberlo added a commit to weberlo/tvm that referenced this issue Jun 20, 2019
@weberlo @jroesch
Fix dangling session reference bug (apache#3)
0676d46 
* Reorder LowLevelDevice interface

* Store shared ptr to session in all alloced objects

* Rename `micro_build` to `build`
@huajsj huajsj mentioned this issue Jun 20, 2019
Merged
prashantsail pushed a commit to prashantsail/incubator-tvm that referenced this issue May 14, 2020
@deepakbabel23
Merge pull request apache#3 from apache/master
ec2eb89 
Merge back from upstream(apache) to origin(local dev)
jcf94 added a commit to jcf94/tvm that referenced this issue Jun 22, 2020
@jcf94 @merrymercy
Split transform_step out & Update more UTs (apache#3)
9fcbf0b 
* Split transform_step out

* Update GetProducers & GetConsumers

* Update UTs

* Add UT for CacheReadWrite & Some bug fix
@huajsj huajsj mentioned this issue Jul 14, 2020
Closed
tqchen pushed a commit that referenced this issue Jul 15, 2020
@jcf94 @merrymercy
@minminsun @FrozenGene
[Ansor][AutoTVM v2.0] Part 0: Ansor minimum system for auto schedule …
456c58d 
…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 pushed a commit to weberlo/tvm that referenced this issue Aug 6, 2020
@areusch
Merge pull request apache#3 from weberlo/tutorial-3
ca88b36 
add more common cfg to DefaultOptions
CloudManX pushed a commit to CloudManX/incubator-tvm that referenced this issue Sep 15, 2020
@jcf94 @merrymercy
@minminsun @FrozenGene @trevor-m
[Ansor][AutoTVM v2.0] Part 0: Ansor minimum system for auto schedule …
780f637 
…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 added a commit to anijain2305/tvm that referenced this issue Oct 2, 2020
@anijain2305 @rohanmukh
Tf2 (apache#3)
488ffe5 
* InferType fix

* Skip annotation passes for non-main funcs

Co-authored-by: Rohan Mukherjee <[email protected]>
zhiics pushed a commit that referenced this issue Oct 3, 2020
Dynamic ONNX Importer (#6351)
2658ebe 
* 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 pushed a commit to CloudManX/incubator-tvm that referenced this issue Oct 30, 2020
@trevor-m
Dynamic ONNX Importer (apache#6351)
25e9e0d 
* 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 pushed a commit to CloudManX/incubator-tvm that referenced this issue Oct 30, 2020
@trevor-m
Dynamic ONNX Importer (apache#6351)
79d558b 
* 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 referenced this issue in ZihengJiang/tvm Nov 26, 2020
@anijain2305
Changes for TF/PT Rn50 (#3)
cd4b887 
* Changes for TF/PT Rn50

* Refactoring

* Comments
wyanzhao pushed a commit to wyanzhao/incubator-tvm that referenced this issue Dec 9, 2020
@tqchen
[CI] Add vta path to cpptest (apache#3)
6beda21 
* [CI] Add vta path to cpptest

* [DOCS] Points docs to the ASF site
monklof pushed a commit to monklof/incubator-tvm that referenced this issue Jan 22, 2021
Merge pull request apache#3 in DATA/tvm from ~WANGXIN66/tvm_clone_fro…
f6767fd 
…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 added a commit to zxybazh/tvm that referenced this issue Feb 21, 2022
@Hzfengsy @spectrometerHBH
@jinhongyii @MasterJH5574 @junrushao @vinx13 @sunggg @zxybazh
Squashed commit
ed92495 
[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]>
zxybazh added a commit to zxybazh/tvm that referenced this issue Feb 22, 2022
@junrushao @Hzfengsy
@spectrometerHBH @jinhongyii @MasterJH5574 @vinx13 @sunggg @zxybazh
Squashed commit
fc2f258 
[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 added a commit to zxybazh/tvm that referenced this issue Feb 22, 2022
@Hzfengsy @spectrometerHBH
@jinhongyii @MasterJH5574 @junrushao @vinx13 @sunggg @zxybazh
Squashed commit
0af0f71 
[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]>
MasterJH5574 pushed a commit to MasterJH5574/tvm that referenced this issue Feb 26, 2022
@ZihengJiang @YuchenJin
Implementation of CallDPS (apache#3)
1a85694 
* Implementation of call_dps.

* Implementation of PackedFuncExpr.

* Test CallDPS for TIR function.

* Rename.

* Add header and comments.

* Update.

* Address comments.
MasterJH5574 pushed a commit to MasterJH5574/tvm that referenced this issue Mar 3, 2022
@ZihengJiang @YuchenJin
Implementation of CallDPS (apache#3)
b562ffa 
* Implementation of call_dps.

* Implementation of PackedFuncExpr.

* Test CallDPS for TIR function.

* Rename.

* Add header and comments.

* Update.

* Address comments.
zxy844288792 pushed a commit to zxy844288792/tvm that referenced this issue Mar 4, 2022
@Lunderberg @ylc
[UnitTests] Automatic parametrization over targets, with explicit opt…
033a21c 
…-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]>
MasterJH5574 pushed a commit to MasterJH5574/tvm that referenced this issue Mar 7, 2022
@yzh119 @MasterJH5574
Format and Buffer data structure (apache#1)
7540891 
[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 pushed a commit to prateek9623/tvm that referenced this issue May 1, 2022
Merge pull request apache#3 from microsoft/kedeng/int
8b22fc4 
Clamp int64 input to tvm::Integer to [INT32_MIN, INT32_MAX]
jinhongyii pushed a commit to jinhongyii/tvm that referenced this issue Jun 20, 2022
@ZihengJiang @yongwww
Implementation of CallDPS (apache#3)
5030b34 
* Implementation of call_dps.

* Implementation of PackedFuncExpr.

* Test CallDPS for TIR function.

* Rename.

* Add header and comments.

* Update.

* Address comments.
jinhongyii pushed a commit to jinhongyii/tvm that referenced this issue Jun 20, 2022
@spectrometerHBH @jinhongyii
fix (apache#3)
f7002c5
Hzfengsy pushed a commit to Hzfengsy/tvm that referenced this issue Jul 30, 2022
@ZihengJiang @yongwww
Implementation of CallDPS (apache#3)
71ac0e2 
* Implementation of call_dps.

* Implementation of PackedFuncExpr.

* Test CallDPS for TIR function.

* Rename.

* Add header and comments.

* Update.

* Address comments.
mikepapadim pushed a commit to mikepapadim/tvm that referenced this issue Sep 21, 2022
@ZihengJiang @yongwww
Implementation of CallDPS (apache#3)
d41fac1 
* Implementation of call_dps.

* Implementation of PackedFuncExpr.

* Test CallDPS for TIR function.

* Rename.

* Add header and comments.

* Update.

* Address comments.
@yuwenjun1988 yuwenjun1988 mentioned this issue Oct 28, 2022
Closed
gigiblender referenced this issue in gigiblender/tvm Nov 3, 2022
@ZihengJiang @junrushao
Implementation of CallDPS (#3)
448507d 
* Implementation of call_dps.

* Implementation of PackedFuncExpr.

* Test CallDPS for TIR function.

* Rename.

* Add header and comments.

* Update.

* Address comments.
MasterJH5574 pushed a commit to MasterJH5574/tvm that referenced this issue Nov 20, 2022
@ZihengJiang @YuchenJin
Implementation of CallDPS (apache#3)
2d51aee 
* Implementation of call_dps.

* Implementation of PackedFuncExpr.

* Test CallDPS for TIR function.

* Rename.

* Add header and comments.

* Update.

* Address comments.
mehrdadh pushed a commit to mehrdadh/tvm that referenced this issue Dec 7, 2022
@mbaret
Merge pull request apache#3 from gigiblender/fix-llvm-align
661281e 
Fix LLVM alignment
zxybazh pushed a commit to zxybazh/tvm that referenced this issue Jan 20, 2023
@tqchen @Hzfengsy @MasterJH5574
[REFACTOR][ARCH] Introduce StructInfo M0 (apache#314)
e617343 
* [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]>
@octoJon octoJon mentioned this issue Jan 24, 2023
Merged
csullivan pushed a commit to csullivan/tvm that referenced this issue Feb 7, 2023
@ZihengJiang @YuchenJin
Implementation of CallDPS (apache#3)
9a6de0e 
* Implementation of call_dps.

* Implementation of PackedFuncExpr.

* Test CallDPS for TIR function.

* Rename.

* Add header and comments.

* Update.

* Address comments.
csullivan pushed a commit to csullivan/tvm that referenced this issue Feb 7, 2023
@tqchen @Hzfengsy
@MasterJH5574 @YuchenJin
[REFACTOR][ARCH] Introduce StructInfo M0 (apache#314)
fb73e64 
* [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 pushed a commit to wangzy0327/tvm that referenced this issue Mar 3, 2023
@DongBaiYue
Merge pull request apache#3 from DongBaiYue/sycl
f55d769 
[SYCL] Support auto_scheduler
Lunderberg pushed a commit to Lunderberg/tvm that referenced this issue Mar 3, 2023
@ZihengJiang @junrushao
Implementation of CallDPS (apache#3)
55b757f 
* Implementation of call_dps.

* Implementation of PackedFuncExpr.

* Test CallDPS for TIR function.

* Rename.

* Add header and comments.

* Update.

* Address comments.
Lunderberg pushed a commit to Lunderberg/tvm that referenced this issue Mar 3, 2023
@tqchen @Hzfengsy
@MasterJH5574 @junrushao
[REFACTOR][ARCH] Introduce StructInfo M0 (apache#314)
7a2141d 
* [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]>
@tingyuzaixiao tingyuzaixiao mentioned this issue Jul 31, 2023
Closed
mikeseven pushed a commit to mikeseven/tvm that referenced this issue Sep 27, 2023
Merged in SIM-2981 (pull request apache#3)
d7310dc 
SIM-2981: Fix Versioning For Python Packages

Approved-by: Jeffrey Uong
@bbbeomjin bbbeomjin mentioned this issue Nov 2, 2023
Open
LeiWang1999 referenced this issue in TileLang/tvm Oct 5, 2024
@chengyupku
[tl] Fix pipeline bugs. Fix thread binding bugs on sm_90 arch. (#3)
12995fc
MasterJH5574 pushed a commit to MasterJH5574/tvm that referenced this issue Oct 27, 2024
@yingchen21 @jinhongyii
impl wrapper for json args (apache#3)
76a0245 
* impl wrapper for json args

* fix

* fix

---------

Co-authored-by: Hongyi Jin <[email protected]>
LeiWang1999 added a commit to LeiWang1999/tvm that referenced this issue Nov 8, 2024
@LeiWang1999
[DOC] dependabot pipeline and transparency doc update. (apache#3)
4f6b990 
* update depenabot pipeline

* update codeql

* fix uint32 zero issue

* initial transparency.

* enhance transparency.
vilukissa68 added a commit to vilukissa68/tvm-headsail that referenced this issue Nov 29, 2024
@vilukissa68
Codgen fix (apache#3)
e8850ed 
* Checkpoint, nothing works

* DNNL based codegen almost works

* Work in dnnl style

* Work in dnnl style

* Arg passing works

* Work in dnnl style

* Codegen somewhat works

* Requantization not working

* Codegen works

* Remove headsail_old

* Remove zero points from headsail codegen

* Remove unused things from codegen
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