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LLVM Support #50

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5 tasks done
tqchen opened this issue Feb 21, 2017 · 0 comments
Closed
5 tasks done

LLVM Support #50

tqchen opened this issue Feb 21, 2017 · 0 comments
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status: RFC type: backend
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v0.1

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@tqchen
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tqchen commented Feb 21, 2017 •
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  • Codegen Pass to LLVM
  • JIT
  • Local function runtime
  • Parallel loop runtime
  • Vectorized read/write with ModulusRemainder deduction

https://github.com/tqchen/tvm/pull/49
@tqchen tqchen added this to the v0.1 milestone Feb 21, 2017
This was referenced Feb 26, 2017
Merged
Merged
@tqchen tqchen closed this as completed Mar 1, 2017
tqchen added a commit to tqchen/tvm that referenced this issue May 26, 2018
@tqchen
Allow libaray path to be configurable (apache#50)
07e26ec 
* Allow libaray path to be configurable

* Enable partial shape inference result to be passed via shape

* fix python3

* disallow copy assign in index
tqchen pushed a commit to tqchen/tvm that referenced this issue May 26, 2018
@zhreshold @tqchen
[TUTORIAL] Onnx tutorial (apache#50)
c365ba3 
* add onnx

* fix
tqchen added a commit that referenced this issue May 29, 2018
@tqchen
Allow libaray path to be configurable (#50)
c7c5e26 
* Allow libaray path to be configurable

* Enable partial shape inference result to be passed via shape

* fix python3

* disallow copy assign in index
tqchen pushed a commit that referenced this issue May 29, 2018
@zhreshold @tqchen
[TUTORIAL] Onnx tutorial (#50)
717c8a1 
* add onnx

* fix
tqchen added a commit to tqchen/tvm that referenced this issue Jul 6, 2018
@tqchen
Allow libaray path to be configurable (apache#50)
647267d 
* Allow libaray path to be configurable

* Enable partial shape inference result to be passed via shape

* fix python3

* disallow copy assign in index
tqchen pushed a commit to tqchen/tvm that referenced this issue Jul 6, 2018
@zhreshold @tqchen
[TUTORIAL] Onnx tutorial (apache#50)
120753d 
* add onnx

* fix
tqchen added a commit to tqchen/tvm that referenced this issue Jul 12, 2018
@tqchen
[DOCKER] Cleanup docker image (apache#50)
680c6e4
tqchen added a commit that referenced this issue Jul 12, 2018
@tqchen
[DOCKER] Cleanup docker image (#50)
8137893
tqchen added a commit to tqchen/tvm that referenced this issue Aug 4, 2018
@tqchen
[DOCKER] Cleanup docker image (apache#50)
5739aca
sergei-mironov pushed a commit to sergei-mironov/tvm that referenced this issue Aug 8, 2018
@tqchen @sergei-mironov
Allow libaray path to be configurable (apache#50)
2cda5a8 
* Allow libaray path to be configurable

* Enable partial shape inference result to be passed via shape

* fix python3

* disallow copy assign in index
sergei-mironov pushed a commit to sergei-mironov/tvm that referenced this issue Aug 8, 2018
@zhreshold @sergei-mironov
[TUTORIAL] Onnx tutorial (apache#50)
ce5fd5b 
* add onnx

* fix
sergei-mironov pushed a commit to sergei-mironov/tvm that referenced this issue Aug 8, 2018
@tqchen @sergei-mironov
[DOCKER] Cleanup docker image (apache#50)
0eff48e
jroesch added a commit to jroesch/tvm that referenced this issue Aug 29, 2018
@jroesch
Add If node (apache#50)
7e0caee 
* Add If node

* Extend Functor and Visitors

* Add some tweaks to fix evaluator errors

* Fix failing test
tqchen added a commit to tqchen/tvm that referenced this issue Mar 29, 2020
@tqchen
[DOCKER] Cleanup docker image (apache#50)
4e035be
wjj19950828 pushed a commit to wjj19950828/tvm that referenced this issue Sep 26, 2021
@jiangjiajun
Merge pull request apache#50 from heliqi/paddle_frontend
f893670 
SAME of padding_algorithm
MasterJH5574 pushed a commit to MasterJH5574/tvm that referenced this issue Feb 26, 2022
@YuchenJin
Call topi and external library through emit_te and add MLP example (a…
d168475 
…pache#50)
MasterJH5574 pushed a commit to MasterJH5574/tvm that referenced this issue Mar 3, 2022
@YuchenJin
Call topi and external library through emit_te and add MLP example (a…
8287c44 
…pache#50)
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
vinx13 pushed a commit to vinx13/tvm that referenced this issue Mar 9, 2022
@Hzfengsy @spectrometerHBH
Init TIR schedule and script
74df784 
rebased

[TIR][Schedule] fix reorder/buffer_flatten & finish CPU demo (apache#59)

[CPU DEMO] Update cpu gemm demo and fix bug (apache#58)

* [TIR][Schedule] introduce parallel and fix bugs for cpu demo

* [TIR][Schedule] update cpu demo

* [TIR][Schedule] fix lint

* [TIR][Schedule] fix

rebased

[TIR][Schedule] introduce reduction block and CPU demo (apache#53)

* [TIR] reduction : split_reduction

* [TIR] reduction : split_reduction

* [TIR] reduction : fuse_reduction

* [TIR] reduction : cpu demo

* [TIR] reduction : fix

* [TIR] reduction : pattern detect remains

* [TIR] reduction : pattern detect remains

* [TIR] reduction : pattern match done

* [TIR] reduction : fix lint

* [TIR] reduction : fix

* [TIR] reduction : fix

* [TIR] reduction : fix

* [TIR] reduction : fix

* [TIR] reduction : rebased

* [TIR] reduction : rebased

[TIR][Schedule] introduce cache_read cache_write (apache#54)

* [TIR][Schedule] introduce cache_read cache_write

* [TIR][Schedule] add more comments

* [TIR][Schedule] fix problem and add comments

* [TIR][Schedule] address comments

[TIR] schedule: introduce vectorize, unroll, loop validation (apache#47)

* [TIR] vectorize : basically complete

* [TIR] vectorize&unroll : update comments&unroll

* [TIR] vectorize&unroll : rebased

* [TIR] vectorize, unroll, cpu_demo: done

* [TIR] vectorize, unroll, cpu_demo: simplify

* [TIR] vectorize, unroll, cpu_demo: fix

* [TIR] reduction : rebased

* [TIR] reduction : fix

[TIR][Schedule] fix sref and scopes problem during replace and compute_at (apache#50)

* [TIR][Schedule] fix sref and scopes problem during replace and compute_at

* [TIR][Schedule] fix

* [TIR][Schedule] fix

[TIR][Refactor] move function to ScheduleNode

[TIR] Schedule: introduce primitive compute_at (apache#36)

* [TIR] Schedule: introduce primitive compute_at

* [TIR] Schedule: address comments

* [TIR] Schedule: address comments

* [TIR] Schedule: address comments

* [TIR] Schedule: add check to compute_at

* [TIR] Schedule: address comments

* [TIR] Schedule: address comments

[TIR] Schedule: introduce primitive reorder (apache#37)

* [Schedule] debug

* [TIR] Schedule: reorder, loop type detect remains

* [TIR] reorder complete

* [TIR] reorder complete

* [TIR] fix

* [TIR] reorder : rebased complete

* [TIR] reorder : fix container.h

* [TIR] reorder : fix

* [TIR] reorder : fix

* [TIR] reorder : fix

* [TIR] reorder : simplify

* [TIR] reorder : simplify

* [TIR] reorder : simplify

* [TIR] reorder : fix

* [TIR] reorder : fix

* [TIR] reorder : rebased

* [TIR] reorder : rebased

rebase

[TIR] Schedule: introduce BlockRealize and Block SRef reuse(apache#39)

* [TIR] BlockRealize: schedule refactor

* [TIR] BlockRealize: debug

* [TIR] BlockRealize finish

* [TIR] BlockRealize finish

* [TIR] BlockRealize fix

* [TIR] BlockRealize update test

* [TIR] BlockRealize: add loop var reuse

* [TIR] BlockRealize: add loop var reuse

* [TIR] BlockRealize: fix

* [TIR] BlockRealize: fix

* [TIR] BlockRealize: fix

* [TIR] BlockRealize: fix

* [TIR] BlockRealize: fix

* [TIR] BlockRealize: fix

* [TIR] BlockRealize: fix

* [TIR] BlockRealize: fix

* [TIR] BlockRealize: fix

* [TIR] BlockRealize: fix

[TIR] compare for module (apache#38)

* [TIR] compare for module

* [TIR] fix

* [TIR] fix

* [TIR] fix

* [TIR] fix

* [TIR] fix

* [TIR] fix

[Hybrid] Module init

[Hybrid] Module print

[Hybrid] Module print with meta

[Hybrid] adjust

[Hybrid] finished but without lint and comment check

[Hybrid] fix lint

[Hybrid] comments

[Hybrid] fix script decoration API

[Hybrid] using IRModule

[Hybrid] fix

[Hybrid] adjust API

[Hybrid] fix

[Hybrid] fix

[Hybrid] fix

[Hybrid] fix symbol table, adjust API, introduce meta_mutator and resolve import issue

[Hybrid] fix lint

[TIR] introduce pass BufferFlatten (apache#32)

* [TIR] introduce pass BufferFlatten

* [Tir] add comments & remove old TeLower

* [TIR] split GatherRegion and BufferFlatten to two Visitor/Mutator

* [TIR] address comments: Only consider stmt scope

* [TIR] BufferFlatten: address comments

* [TIR] BufferFlatten: fold BlockFlattener into BufferFlattener

* [TIR] BufferFlatten: add asserts

* [TIR] BufferFlatten: use Equal in testcase

* [TIR] Equal Pass: Enhanced the pass

* [TIR] Equal Pass: add comments

[Hybrid] refactor using Doc, introduce annotation, enhance parser (apache#28)

* [Hybrid] refactor printer, enhance parser

* [Hybrid] refactor

* [Hybrid] fix

* [Hybrid] fix

* [Hybrid] fix namespace issue

* [Hybrid] compare using Equal

[TIR] rebased

[TE] fix replace again and add primitive fuse and split (apache#27)

* [TE] add: schedule primitive fuse

* [TE] add: schedule primitive split

* [TE] address comments: add IRSubstitueInScope and other minor fix

* [TE] address comments: Enhance Equal api and fix split by nparts

* [TE] address comments

[Hybrid] introduce printer (apache#25)

* [Hybrid] substitute Block with SeqStmt, change block() syntax

* [Hybrid] add printer, type declare intrin

* [Hybrid] refactor

* [Hybrid] meta

* [Hybrid] refactor

* [Hybrid] macro

[TE] fix replace (apache#23)

* [TE] fix replace

* [TE] fix replace: add more tests

* [TE] fix replace: add more tests

[TE] rebased

[Hybrid] python syntax parser (apache#20)

* [Hybrid] python syntax parser

* [Hybrid] add a testcase

* [Hybrid] improve comments and fix bugs

* [Hybrid] improve comments, refactor __internal_assert, add new testcases

* [Hybrid] improve error report message, refactor intrin

* [Hybrid] separate ScopeEmitter from parser

* [Hybrid] refactor type check

* [Hybrid] refactor intrin

* [Hybrid] refactor intrin, allow register external functions with argument type checking, add a testcase

* [Hybrid] address comments, fix a bug in te/ir.h

* [Hybrid] remove type check

* [Hybrid] python syntax parser

* [Hybrid] add a testcase

* [Hybrid] improve comments and fix bugs

* [Hybrid] improve comments, refactor __internal_assert, add new testcases

* [Hybrid] improve error report message, refactor intrin

* [Hybrid] separate ScopeEmitter from parser

* [Hybrid] refactor type check

* [Hybrid] refactor intrin

* [Hybrid] refactor intrin, allow register external functions with argument type checking, add a testcase

* [Hybrid] address comments, fix a bug in te/ir.h

* [Hybrid] remove type check

* [Hybrid] refactor intrin, scope_handler, special_stmt

* [Hybrid] address comments

* [Hybrid] clean code, improve error reporting & testcase

* [Hybrid] clean code

* [Hybrid] clean code

[IR] introduce dependency graph and write map

[TE] refactor and clean codebase

[TE] refactor IR

[TE] introduce schedule, dependency graph and support fuse and split (apache#17)

* fix lint

* introduce dependency graph

* enable create schedule

* support get axes

* fix lint

* revert Set

* add schedule primitive fuse

* address comment

* support split

[IR] Introduce SeqStmt

add TeLower pass and enable to run Te IR (apache#15)

* add function data structure
add TeLower pass to transform Te to current IR
enable to run Te IR

* address comments

* unify terminology

TensorIR data structure init (apache#14)

* init te data structure

* finish printer and enhanced ir_builder

* address the comments

Co-authored-by: Bohan Hou <[email protected]>
jinhongyii pushed a commit to jinhongyii/tvm that referenced this issue Jun 20, 2022
@YuchenJin @yongwww
Call topi and external library through emit_te and add MLP example (a…
33b5fa6 
…pache#50)
cyx-6 pushed a commit to cyx-6/tvm that referenced this issue Jun 24, 2022
@junrushao
Allow nest parsing (apache#50)
45d5f0b
cyx-6 pushed a commit to cyx-6/tvm that referenced this issue Jun 25, 2022
@junrushao
Allow nest parsing (apache#50)
92c56d6
junrushao added a commit to cyx-6/tvm that referenced this issue Jul 4, 2022
@junrushao
Allow nest parsing (apache#50)
6ca54ed
cyx-6 pushed a commit to cyx-6/tvm that referenced this issue Jul 13, 2022
@junrushao
Allow nest parsing (apache#50)
83eebd4
Hzfengsy pushed a commit to Hzfengsy/tvm that referenced this issue Jul 30, 2022
@YuchenJin @yongwww
Call topi and external library through emit_te and add MLP example (a…
cc2b2e8 
…pache#50)
Hzfengsy pushed a commit to Hzfengsy/tvm that referenced this issue Jul 30, 2022
@junrushao @Hzfengsy
Allow nest parsing (apache#50)
91645d8
areusch pushed a commit to areusch/tvm that referenced this issue Sep 20, 2022
@YuchenJin @yongwww
Call topi and external library through emit_te and add MLP example (a…
7f7eff8 
…pache#50)
gigiblender pushed a commit to gigiblender/tvm that referenced this issue Nov 3, 2022
@YuchenJin @junrushao
Call topi and external library through emit_te and add MLP example (a…
252715f 
…pache#50)
MasterJH5574 pushed a commit to MasterJH5574/tvm that referenced this issue Nov 20, 2022
@YuchenJin
Call topi and external library through emit_te and add MLP example (a…
346fe5c 
…pache#50)
yelite pushed a commit to yelite/tvm that referenced this issue Feb 17, 2023
@YuchenJin @junrushao
Call topi and external library through emit_te and add MLP example (a…
7903c30 
…pache#50)
vinx13 pushed a commit to vinx13/tvm that referenced this issue Mar 27, 2023
[Unity] Merge with tvm/unity (apache#50)
6e25a86 
Our previous merge didnt properly connect the history of octoml/relax
with tvm/unity. I wanted to try giving it another go with a newly
enabled non-squashing merge suggested by @areusch.
masahi pushed a commit to masahi/tvm that referenced this issue Feb 29, 2024
@sunggg
Merge pull request apache#50 from sunggg/bugfix/2024-Feb/fix-cutlass-…
99b0e62 
…rms-norm

[CUTLASS] Use operator pattern for RMS Norm to conform with SLM model definition
LeiWang1999 added a commit to LeiWang1999/tvm that referenced this issue Nov 8, 2024
@LeiWang1999
[Dev] Improve General Matmul With Splitk (apache#50)
0b2e48f 
* improve e4m3 decoding.

* append fp16xint1

* Update submodule commit reference

* chore: Update shared memory scope for float32 output dtype

* BUGFIX: UINT8/INT8 Decoding

* feat: Add rasterization options for roller module

* Refactor tensorcore_legalization method to optimize tensor core usage

* feat: Add function to collect variables from expression, improve for splitk

* chore: Update typing import in __init__.py

* chore: Refactor CPU execution of operators

* Refactor matmul implementation for splitk layout

* Refactor matmul implementation for splitk layout

* Refactor matmul implementation for splitk layout

* chore: Update version to 0.0.1.dev8

* chore: Enable debug output in bitblas.set_debug_level()

* Refactor Linear module matmul implementation for splitk layout

* Refactor matmul implementation for splitk layout

---------

Co-authored-by: LeiWang199 <leiwang199>
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