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Start working on Tensor Infer #2

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tqchen opened this issue Oct 14, 2016 · 0 comments
Closed

Start working on Tensor Infer #2

tqchen opened this issue Oct 14, 2016 · 0 comments

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@tqchen
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tqchen commented Oct 14, 2016

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@tqchen tqchen closed this as completed Oct 14, 2016
@haolongzhangm haolongzhangm mentioned this issue Nov 15, 2017
Closed
@janboeye janboeye mentioned this issue Mar 9, 2018
Merged
tqchen referenced this issue in tqchen/tvm May 26, 2018
@tqchen
[SYMBOLIC] Add symbolic API (#2)
aa36823 
* [SYMBOLIC] Add symbolic API

* Update Testcase to nnvm
tqchen added a commit that referenced this issue May 29, 2018
@tqchen
[SYMBOLIC] Add symbolic API (#2)
f3fdd9d 
* [SYMBOLIC] Add symbolic API

* Update Testcase to nnvm
tqchen referenced this issue in tqchen/tvm Jul 6, 2018
@tqchen
[SYMBOLIC] Add symbolic API (#2)
93534ec 
* [SYMBOLIC] Add symbolic API

* Update Testcase to nnvm
tmoreau89 pushed a commit to tmoreau89/tvm that referenced this issue Jan 2, 2019
@tqchen @tmoreau89
Support low bit weights in nnvm (apache#2)
070fecf
vinx13 referenced this issue in vinx13/tvm Jan 24, 2019
@vinx13
[RELAY, TOPI] Deformable 2d convolution (#2)
7b2ed30
wweic pushed a commit to wweic/tvm that referenced this issue Feb 4, 2019
@jroesch
Merge pull request apache#2 from jroesch/relay-rts-wweic-vm
eec59a7 
Remove debug statement
tmoreau89 pushed a commit to tmoreau89/tvm that referenced this issue Mar 22, 2019
@tqchen @tmoreau89
Support low bit weights in nnvm (apache#2)
45eb00f
tmoreau89 pushed a commit to tmoreau89/tvm that referenced this issue Mar 22, 2019
@tqchen @tmoreau89
Support low bit weights in nnvm (apache#2)
529bc39
@kovasb kovasb mentioned this issue Apr 20, 2019
Closed
@u99127 u99127 mentioned this issue Jun 1, 2019
Merged
weberlo added a commit to weberlo/tvm that referenced this issue Jun 17, 2019
@weberlo @jroesch
Enable MicroTVM in CMake config (apache#2)
e0da53b
weberlo added a commit to weberlo/tvm that referenced this issue Jun 18, 2019
@weberlo @jroesch
Enable MicroTVM in CMake config (apache#2)
ea321f7
weberlo added a commit to weberlo/tvm that referenced this issue Jun 19, 2019
@weberlo @jroesch
Enable MicroTVM in CMake config (apache#2)
702001e
@huajsj huajsj mentioned this issue Jun 20, 2019
Merged
@apivovarov apivovarov mentioned this issue Jun 28, 2019
Merged
wweic added a commit to wweic/tvm that referenced this issue Nov 5, 2019
@wweic
Merge pull request apache#2 from wweic/vm-exp
7f0d343 
Tail recursion
@kevinyuan kevinyuan mentioned this issue Jan 22, 2020
Merged
prashantsail pushed a commit to prashantsail/incubator-tvm that referenced this issue May 14, 2020
@deepakbabel23
Merge pull request apache#2 from deepakbabel23/master
7bd7711 
Merge master to spop branch
@huajsj huajsj mentioned this issue Jul 14, 2020
Closed
weberlo pushed a commit to weberlo/tvm that referenced this issue Jul 31, 2020
@areusch
Merge pull request apache#2 from weberlo/tutorial-2
f9642e8 
Add components for tutorial 3
@snsun snsun mentioned this issue Aug 24, 2020
Closed
electriclilies referenced this issue in electriclilies/tvm Sep 4, 2020
Dynamic ONNX importer: Upsampling and Pad (#2)
66ba19a
electriclilies referenced this issue in electriclilies/tvm Sep 4, 2020
Dynamic ONNX importer: Upsampling and Pad (#2)
1165207
rohanmukh pushed a commit to anijain2305/tvm that referenced this issue Sep 30, 2020
@anijain2305
InferType fix (apache#2)
d5f9bb5
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 <lorthsmith@octoml.ai>
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 <lorthsmith@octoml.ai>
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 <lorthsmith@octoml.ai>
MasterJH5574 pushed a commit to MasterJH5574/tvm that referenced this issue Feb 26, 2022
@jroesch @ZihengJiang @YuchenJin
Relax AST (apache#2)
96b3e3b 
Co-authored-by: ZihengJiang <ziheng@apache.org>
MasterJH5574 pushed a commit to MasterJH5574/tvm that referenced this issue Mar 3, 2022
@jroesch @ZihengJiang @YuchenJin
Relax AST (apache#2)
25f8d83 
Co-authored-by: ZihengJiang <ziheng@apache.org>
zxy844288792 pushed a commit to zxy844288792/tvm that referenced this issue Mar 4, 2022
@ylc
Merge from upstream and resolve conflict apache#2
50be44e
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 <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
prateek9623 pushed a commit to prateek9623/tvm that referenced this issue May 1, 2022
@baowenlei
Merge pull request apache#2 from microsoft/weba/pvstore-tvm
b4bff71 
Weba/pvstore tvm
@zhiwei-dong zhiwei-dong mentioned this issue May 19, 2022
Open
cconvey pushed a commit to cconvey/tvm that referenced this issue Jun 13, 2022
experiment apache#2 config
a799104
cconvey pushed a commit to cconvey/tvm that referenced this issue Jun 13, 2022
experiment apache#2 config
e78a95c
@alexandrepires5 alexandrepires5 mentioned this issue Jun 19, 2022
Closed
jinhongyii pushed a commit to jinhongyii/tvm that referenced this issue Jun 20, 2022
@jroesch @ZihengJiang @yongwww
Relax AST (apache#2)
b22a978 
Co-authored-by: ZihengJiang <ziheng@apache.org>
jinhongyii pushed a commit to jinhongyii/tvm that referenced this issue Jun 20, 2022
@spectrometerHBH @jinhongyii
Predicated Load Optimization apache#2
c723660
@huajsj huajsj mentioned this issue Jun 24, 2022
Open
Hzfengsy referenced this issue in Hzfengsy/tvm Jul 30, 2022
@jroesch @ZihengJiang @yongwww
Relax AST (#2)
12fc60a 
Co-authored-by: ZihengJiang <ziheng@apache.org>
@driazati driazati mentioned this issue Aug 12, 2022
Merged
areusch pushed a commit that referenced this issue Aug 25, 2022
@driazati
[ci] Default to n=2 for test parallelism (#12414)
01fcdfc 
* Revert "[skip ci] Revert "[ci] Default to n=2 for test parallelism (#12376)" (#12413)"

This reverts commit 478b672.

* [ci] Default to n=2 for test parallelism

This is attempt #2 of #12376 which was reverted in #12413. The changes
in `plugin.py` should keep all the tests on the same node so sporadic
failures don't happen due to scheduling.

Co-authored-by: driazati <driazati@users.noreply.github.com>
mikepapadim pushed a commit to mikepapadim/tvm that referenced this issue Sep 21, 2022
@jroesch @ZihengJiang @yongwww
Relax AST (apache#2)
a5d68da 
Co-authored-by: ZihengJiang <ziheng@apache.org>
@DikshanyaRam DikshanyaRam mentioned this issue Nov 2, 2022
Closed
MasterJH5574 pushed a commit to MasterJH5574/tvm that referenced this issue Nov 20, 2022
@jroesch @ZihengJiang @YuchenJin
Relax AST (apache#2)
cb03c5e 
Co-authored-by: ZihengJiang <ziheng@apache.org>
xinetzone pushed a commit to daobook/tvm that referenced this issue Nov 25, 2022
@driazati @xinetzone
[ci] Default to n=2 for test parallelism (apache#12414)
e1ba316 
* Revert "[skip ci] Revert "[ci] Default to n=2 for test parallelism (apache#12376)" (apache#12413)"

This reverts commit 478b672.

* [ci] Default to n=2 for test parallelism

This is attempt apache#2 of apache#12376 which was reverted in apache#12413. The changes
in `plugin.py` should keep all the tests on the same node so sporadic
failures don't happen due to scheduling.

Co-authored-by: driazati <driazati@users.noreply.github.com>
mehrdadh referenced this issue in mehrdadh/tvm Dec 7, 2022
@mbaret
Merge pull request #2 from gigiblender/mangle-tir-func
55a2475 
[Relax][AOT] Add pass that mangles TIR PrimFunc names
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 <ruihangl@cs.cmu.edu>

* 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 <ruihangl@cs.cmu.edu>

Co-authored-by: Siyuan Feng <Hzfengsy@sjtu.edu.cn>
Co-authored-by: Tianqi Chen <tqchen>
Co-authored-by: Ruihang Lai <ruihangl@cs.cmu.edu>
csullivan pushed a commit to csullivan/tvm that referenced this issue Feb 7, 2023
@jroesch @ZihengJiang @YuchenJin
Relax AST (apache#2)
03fd11e 
Co-authored-by: ZihengJiang <ziheng@apache.org>
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 <ruihangl@cs.cmu.edu>

* 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 <ruihangl@cs.cmu.edu>

Co-authored-by: Siyuan Feng <Hzfengsy@sjtu.edu.cn>
Co-authored-by: Tianqi Chen <tqchen>
Co-authored-by: Ruihang Lai <ruihangl@cs.cmu.edu>
Lunderberg pushed a commit to Lunderberg/tvm that referenced this issue Mar 3, 2023
@jroesch @ZihengJiang @junrushao
Relax AST (apache#2)
68e15a8 
Co-authored-by: ZihengJiang <ziheng@apache.org>
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 <ruihangl@cs.cmu.edu>

* 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 <ruihangl@cs.cmu.edu>

Co-authored-by: Siyuan Feng <Hzfengsy@sjtu.edu.cn>
Co-authored-by: Tianqi Chen <tqchen>
Co-authored-by: Ruihang Lai <ruihangl@cs.cmu.edu>
@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-2897 (pull request apache#2)
8d2b334 
SIM-2897: Add packaging for TVM

Approved-by: Jeffrey Uong
LeiWang1999 referenced this issue in TileLang/tvm Oct 5, 2024
@LeiWang1999
Merge pull request #2 from TileLang/bitblas_tl
cd230c5 
[Dev] Merge the latest bitblas modification to upstream
LeiWang1999 added a commit to LeiWang1999/tvm that referenced this issue Nov 8, 2024
@LeiWang1999
[Pipeline] Append CodeQL and DependaBot Build Pipleline. (apache#2)
4e00826 
* base tuner

* gpu schedule

* matmul ops

* initial commit

* refactor fast dlight to bit blas

* support i8 swizzle

* int8xint2 gemm

* update keep

* update lop3 cpp test

* all low int to float16 convert

* int8 fast decoding

* float16with scale

* annotate tc layout propa

* impl tir interleve test

* impl interleave weight.

* weight only propagation

* support layout propagate recover schedule of dequantize.

* refactor testing

* enhance gemv schedule for dynamic

* dequantize matmul initilization

* [refactor] move comments to BitBLAS

* evaluate pytorch integeration

* evaluate correctness of weight only decode

* annotate mit license

* annotate apache/mit lisence

* init logger

* refactor ops test with pytest

* ladder_permutate implementation

* append tvm third party lisence

* scaling ladder permutate impl

* add storage dtype test

* implement lop3 permutation ops and related test

* support with propagate layout.

* update tvm lisence

* disable fmt in pytest

* implement cpu arch for consistency

* seperate gemv schedule and gemv_dequantize schedule.

* fix typo

* refactor quantization

* init testing.

* refactor matmul and operators

* append dequantize and test items

* reslove lisence related items

* refactor implementation

* init read me.

* integration with faster transform imp

* integerate bug fix.

* update ignore

* improve code structure.

* update mit lisence

* remove gitkeep file

* provide simple tir benchmark result.

* enhance build

* auto layout deduce

* fix default tensorize.

* update ReadMe

* update readme

* update read me

* update readme

* simple fix

* readme fix

* update codeql

* update depenabot pipeline
LeiWang1999 pushed a commit to LeiWang1999/tvm that referenced this issue Nov 14, 2024
@Cunxiao2002
[fix]add hip target (apache#2)
b257cd7
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