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[PASS] StorageSync, safe condition in ScheduleOps, GEMM Example #31

Merged
merged 1 commit into from
Feb 4, 2017
Merged

[PASS] StorageSync, safe condition in ScheduleOps, GEMM Example #31

merged 1 commit into from
Feb 4, 2017

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tqchen
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@tqchen tqchen commented Feb 4, 2017

  • Move MakeAPI and SplitHostDevice to ir_pass
  • Rewrite StorageFlatten with new mutator style
  • Implement StorageSync to insert memory syncs
  • More robust ScheduleOps to emit more boundary condition checks
  • GEMM example

@tqchen tqchen requested a review from icemelon February 4, 2017 00:13
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icemelon approved these changes Feb 4, 2017
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lgtm

@tqchen tqchen merged commit d89917b into master Feb 4, 2017
tqchen added a commit to tqchen/tvm that referenced this pull request May 26, 2018
@tqchen
Enable copy on write in graph attrs (apache#31)
7145e91 
* [INFER] Enhance backward op policy

* [SYMBOL] add list inputs

* relax graph attr to enable copy-on-write
tqchen added a commit to tqchen/tvm that referenced this pull request May 26, 2018
@tqchen
[RUNTIME] Minimum runtime module (apache#31)
683d744
tqchen added a commit that referenced this pull request May 29, 2018
@tqchen
Enable copy on write in graph attrs (#31)
f560372 
* [INFER] Enhance backward op policy

* [SYMBOL] add list inputs

* relax graph attr to enable copy-on-write
tqchen added a commit that referenced this pull request May 29, 2018
@tqchen
[RUNTIME] Minimum runtime module (#31)
2d4ae5e
tqchen added a commit to tqchen/tvm that referenced this pull request Jul 6, 2018
@tqchen
Enable copy on write in graph attrs (apache#31)
7c3d18c 
* [INFER] Enhance backward op policy

* [SYMBOL] add list inputs

* relax graph attr to enable copy-on-write
tqchen added a commit to tqchen/tvm that referenced this pull request Jul 6, 2018
@tqchen
[RUNTIME] Minimum runtime module (apache#31)
d781a57
tqchen added a commit to tqchen/tvm that referenced this pull request Jul 12, 2018
@tqchen
fix jenkins (apache#31)
6b7da4d
tqchen added a commit that referenced this pull request Jul 12, 2018
@tqchen
fix jenkins (#31)
b668e4d
tqchen added a commit to tqchen/tvm that referenced this pull request Aug 4, 2018
@tqchen
fix jenkins (apache#31)
012697a
sergei-mironov pushed a commit to sergei-mironov/tvm that referenced this pull request Aug 8, 2018
@tqchen @sergei-mironov
Enable copy on write in graph attrs (apache#31)
4b64f6e 
* [INFER] Enhance backward op policy

* [SYMBOL] add list inputs

* relax graph attr to enable copy-on-write
sergei-mironov pushed a commit to sergei-mironov/tvm that referenced this pull request Aug 8, 2018
@tqchen @sergei-mironov
[RUNTIME] Minimum runtime module (apache#31)
c96ad23
sergei-mironov pushed a commit to sergei-mironov/tvm that referenced this pull request Aug 8, 2018
@tqchen @sergei-mironov
fix jenkins (apache#31)
c38146c
jroesch pushed a commit to jroesch/tvm that referenced this pull request Aug 29, 2018
@tqchen @jroesch
[NODE] GetRef helper (apache#31)
c507efa
tmoreau89 added a commit to tmoreau89/tvm that referenced this pull request Jan 2, 2019
@tmoreau89
[TOPI] Conv2d Transpose Support (apache#31)
4ab5e3f 
* pushing vta support for conv2d transpose in topi

* comment
tmoreau89 added a commit to tmoreau89/tvm that referenced this pull request Mar 22, 2019
@tmoreau89
[TOPI] Conv2d Transpose Support (apache#31)
b2a2fb4 
* pushing vta support for conv2d transpose in topi

* comment
tmoreau89 added a commit to tmoreau89/tvm that referenced this pull request Mar 22, 2019
@tmoreau89
[TOPI] Conv2d Transpose Support (apache#31)
7927071 
* pushing vta support for conv2d transpose in topi

* comment
tqchen added a commit to tqchen/tvm that referenced this pull request Mar 29, 2020
@tqchen
fix jenkins (apache#31)
bf7472c
jcf94 added a commit to jcf94/tvm that referenced this pull request Jun 22, 2020
@jcf94 @merrymercy
Add tensorize step for loop_state (apache#31)
6126cdb 
* Add tensorize step
tqchen pushed a commit that referenced this pull request 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 <lianminzheng@gmail.com>
Co-authored-by: Minmin Sun (孙敏敏) <minmin.smm@alibaba-inc.com>
Co-authored-by: Zhao Wu <zhaowu@apache.org>
CloudManX pushed a commit to CloudManX/incubator-tvm that referenced this pull request 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 <lianminzheng@gmail.com>
Co-authored-by: Minmin Sun (孙敏敏) <minmin.smm@alibaba-inc.com>
Co-authored-by: Zhao Wu <zhaowu@apache.org>
wjj19950828 pushed a commit to wjj19950828/tvm that referenced this pull request Sep 14, 2021
@jiangjiajun
Merge pull request apache#31 from heliqi/paddle_frontend
68d9328 
paddle frontend
MasterJH5574 pushed a commit to MasterJH5574/tvm that referenced this pull request Dec 21, 2021
@yzh119
Add more docstrings and depress warnings for new lowering algorithm. (a…
614fb8a 
…pache#31)
MasterJH5574 pushed a commit to MasterJH5574/tvm that referenced this pull request Dec 24, 2021
@yzh119 @MasterJH5574
Add more docstrings and depress warnings for new lowering algorithm. (a…
f407846 
…pache#31)
MasterJH5574 pushed a commit to MasterJH5574/tvm that referenced this pull request 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 <expye@outlook.com>

Fix AxisTree (apache#3)

* fix axis tree

* upd

[SparseTIR] Add SparseBufferLoad/SparseBufferStore (apache#5)

* Add dtype for SparseBuffer

* Add name for SparseBuffer. Remove `ndim`

* Remove namespace sparse

* Add SparseBufferLoad/Store

* Add method `ndim()`

[SparseTIR] Introduce SpIterVar (apache#6)

* [SparseTIR] Introduce SpIterVar

* Add conversion to PrimExpr

[BugFix] Fix binary search & SpIterVar (apache#7)

[BugFix] Add field `is_reduction` for SpIterVar (apache#9)

* [BugFix] Add field `is_reduction` for SpIterVar

* Formatting

[SparseTIR] Index Lowering (apache#8)

* Add StmtFunctor/ExprFunctor for SparseBufferStore/Load

* Add basic index lowering

* Finish index lowering (maybe)

* Address comments

* Convert CRLF to LF

Frontend update, demo scripts. (apache#10)

* Format and Buffer data structure (apache#1)

* [SparseTIR] Constructors and Python Interface for `Axis` and `SparseBuffer` (apache#2)

* add methods for Object

* axis constructors

* methods for SparseBuffer

* put into registry

* python interface

* [CherryPick][Intrinsic] lower_bound and upper_bound for binary search in Sparse TIR. (apache#483) (apache#4)

* upd

* upd

* fix

* upd

* upd

* upd

* upd

* upd

* fix

* upd

* upd

* upd

* upd

* upd

* upd

* upd

* codegen-rule

* upd

* upd

* test

* upd

* fix

* two arguments

Co-authored-by: Zihao Ye <expye@outlook.com>

* Fix AxisTree (apache#3)

* fix axis tree

* upd

* Format and Buffer data structure (apache#1)

* [SparseTIR] Constructors and Python Interface for `Axis` and `SparseBuffer` (apache#2)

* add methods for Object

* axis constructors

* methods for SparseBuffer

* put into registry

* python interface

* fix axis tree

* upd

* Format and Buffer data structure (apache#1)

* [SparseTIR] Constructors and Python Interface for `Axis` and `SparseBuffer` (apache#2)

* add methods for Object

* axis constructors

* methods for SparseBuffer

* put into registry

* python interface

* [CherryPick][Intrinsic] lower_bound and upper_bound for binary search in Sparse TIR. (apache#483) (apache#4)

* upd

* upd

* fix

* upd

* upd

* upd

* upd

* upd

* fix

* upd

* upd

* upd

* upd

* upd

* upd

* upd

* codegen-rule

* upd

* upd

* test

* upd

* fix

* two arguments

Co-authored-by: Zihao Ye <expye@outlook.com>

* Fix AxisTree (apache#3)

* fix axis tree

* upd

* [SparseTIR] Add SparseBufferLoad/SparseBufferStore (apache#5)

* Add dtype for SparseBuffer

* Add name for SparseBuffer. Remove `ndim`

* Remove namespace sparse

* Add SparseBufferLoad/Store

* Add method `ndim()`

* Format and Buffer data structure (apache#1)

* [SparseTIR] Constructors and Python Interface for `Axis` and `SparseBuffer` (apache#2)

* add methods for Object

* axis constructors

* methods for SparseBuffer

* put into registry

* python interface

* [CherryPick][Intrinsic] lower_bound and upper_bound for binary search in Sparse TIR. (apache#483) (apache#4)

* upd

* upd

* fix

* upd

* upd

* upd

* upd

* upd

* fix

* upd

* upd

* upd

* upd

* upd

* upd

* upd

* codegen-rule

* upd

* upd

* test

* upd

* fix

* two arguments

Co-authored-by: Zihao Ye <expye@outlook.com>

* Fix AxisTree (apache#3)

* fix axis tree

* upd

* [SparseTIR] Add SparseBufferLoad/SparseBufferStore (apache#5)

* Add dtype for SparseBuffer

* Add name for SparseBuffer. Remove `ndim`

* Remove namespace sparse

* Add SparseBufferLoad/Store

* Add method `ndim()`

* [SparseTIR] Introduce SpIterVar (apache#6)

* [SparseTIR] Introduce SpIterVar

* Add conversion to PrimExpr

* [BugFix] Fix binary search & SpIterVar (apache#7)

* [BugFix] Add field `is_reduction` for SpIterVar (apache#9)

* [BugFix] Add field `is_reduction` for SpIterVar

* Formatting

* upd

* upd

Co-authored-by: Ruihang Lai <lairuihangdongdong@qq.com>

[SparseTIR] SparseBlock on C++/Python side (apache#11)

* Fix a bug in the last commit

* SparseBlock on C++ & Python side

[BugFix][SparseTIR] TVMScript Parser for Axis & SpIterVar (apache#12)

* Update `cord` and `pos`

* Fix `idtype`

* Formatting..

* Bug fix 1

* Move new special stmts

* Parser for Axis and SpIterVar

* Fix context_maintainer.py

[SparseTIR] Enhance SparseBlock to contain enough PrimFunc information (apache#13)

* Enhance SparseBlock to have enough PrimFunc info

* Remove `func_sparse_buffer_map_`

* Don't print the map uh-huh

[SparseTIR] Parser, Printer, Roundtrip (apache#14)

* SparseBlock scope handler (part 1)

* SparseBlock scope handler (part 2)

* SparseBlock scope handler (part 3)

* SparseBlock scope handler (fix 1)

* Add SparseBufferLoad/Store on Python side

* Parser for SparseBufferLoad/Store

* Add SparseBlock to Python __init__

* StmtFunctor for SparseBlock

* Ensure at least one dimension for SparseBuffer

* Make `axis` field of SpIterVar mandatory

* SparseBlock scope handler (fix 2)

* Update Axis syntax by removing `name` parameter

* Move to intrin.py

* Add filed `from_sparse` to DenseFixedAxis

* SparseTIR script printer

* Roundtrip test

* `update_symbol` bug fix

* Fix attr visit in SparseBuffer

* Define then compare in SparseBlock

* Fix printer bug for SparseBuffer

* Enable graph match for Axis and SparseBuffer

* Complete HashReduce and EqualReduce for AxisTree and SparseBuffer

* Fix typo

* Rename test

* Bug fix 1

* Bug fix 2

* Add more tests

Move tests (apache#15)

[SparseTIR] ReprPrinter for Axis and SpIterVar (apache#16)

upd (apache#17)

flatten (apache#18)

ELL and BSR correctness test scripts (apache#19)

[SparseTIR] SparseTIR Lowering (apache#20)

* Fix a previous bug of sparse-fixed SpIterVar creation

* Fix a previous bug in `GetDenseValue`

* Refactor Collector and IndexTransformer

* Construct block and loops

* Fix a previous bug which rejects DV iters in collector

* Update buffer map

* Create root block

* Fix bug of sparse-fixed SpIterVar creation

* Fix bug on SpIterVar conversion (with refactor)

* Fix bug when getting dependent SpIterVars

* Fix bug on dependency map and index lowering

* Full block read/write region

* Test version 1

* Fix bug of loop order

* Fix bug of batch-mm iterator ordering

* Update PrimFunc args to use symbolic params

* Fix bug of test "csr_element_wise"

* Fix bug of index accumulation for sparse-fixed axis

* Update correctness test

* Test structural equality

* Refactor and use Array

fix nnz cols

Add docstring for sparse tir lowering (apache#21)

* add docstring

* upd

Add more examples part 1 (sddmm) (apache#22)

* upd

* upd

* upd

[SparseTIR][Schedule] SparseBlockRV, GetSparseBlock, SparseReorder (apache#23)

* Test initialization

* Fix a stupid bug of ReprPrinter

* Add SparseBlockRV

* Schedule: GetSparseBlock

* Schedule: Reorder

[SparseTIR][Schedule] GetSpIters (apache#24)

remove hybrid script for successful compilation

Add atomic intrinsic for output nonzero inference. (apache#25)

* upd

* upd

Add "sparse" block attribute. (apache#26)

Revert "remove hybrid script for successful compilation"

This reverts commit eebd7c1.

[SparseTIR] Hack `IsAffineBinding` check (apache#27)

* [TensorIR][Schedule] Inherit block anotation upon creating new blocks

* Fix SDDMM test

* Hack IsAffineBinding for sparse blocks

Axis Dependency Tree aware code-gen and bmm example (apache#28)

* upd

* upd

* upd

* upd

* upd

* upd

* upd

* upd

* remove redundancy

* fix

* upd

* upd

Re-design Indices lowering (apache#29)

* upd

* upd

* upd

* upd

* upd

* init

* format

* fix

* revise coding-style

* format

Complete indices lowering (apache#30)

* upd

* upd

* upd

* done

* upd

* passed test

* upd

Add more docstrings and depress warnings for new lowering algorithm. (apache#31)

Refactor derived axis, frontend support of fusion. (apache#32)

* upd

* upd

* fix

Fatal bugfix and change the signature of DenseVariableAxis.  (apache#33)

Syntax simplification (apache#34)

Change the order of generated blocks for block isolation. (apache#35)

* upd

* upd

* upd

Syntax of AttachAxis for BMM (apache#36)

* upd

* upd

* upd

[SparseTIR] Add "square sum" lowering test (apache#37)

* Add square sum test

* Remove pylint comment

[BugFix] Fix offset caching in lowering (apache#38)

* Hack compact dataflow check in a dirty way

* Add two-K square sum test

* Mark skipped tests

* Fix offset saving in lowering

Fusion syntax fix + SDDMM example.  (apache#39)

Some structure change on update offsets. (apache#40)

[Refactor] SparseTIR Lowering (apache#41)

* Take out methods in Scope

* Refactor

* Refactor "match"

* Tweak scope contents

* Refactor ViewIndexInAxis

* Refactor Scope

* SDDMM tests under implementation

* Refactor block stack

* Use Map for var_map

* Extract NeedCreateNewBlock

* Simplify SpIterVarToIterVar via GetIterExtent

* Refactor NeedCreateNewBlock

* Add docstring

* Use "auto" correctly

* Minor refactor and use some move

Remove redundant analyzers (apache#42)

Support indices lowering for attach and fuse. (apache#43)

* upd

* upd

* upd

Fix irregular BMM example. (apache#44)

* upd

* upd

* upd

* upd

RGCN forward and butterfly pattern example. (apache#45)

Fused SDDMM example. (apache#46)

* upd

* wip

* fix

Fix sparse reorder after refactor (apache#47)

[Refactor] Refactor Unittest (apache#48)

* upd

* remove redundancy

[Unittest] Correctness test for benchmarking scripts (apache#49)

Bugfix and more test for axis fusion, new workload (apache#50)

* upd

* upd

upd
jinhongyii pushed a commit to jinhongyii/tvm that referenced this pull request Nov 28, 2022
@MasterJH5574
[Fix][Op] Do not apply WrapParam when dtypes are the same (apache#31)
62b3ad4
vinx13 pushed a commit to vinx13/tvm that referenced this pull request Mar 27, 2023
Importer fixes and additional testing for end to end resnet support (a…
e49d040 
…pache#31)

Some fixes to enable end to end resnet.
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@icemelon icemelon icemelon approved these changes

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@tqchen @icemelon