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[ARITH] Add CombineInterval<Div> in IntSet #48

Merged
merged 3 commits into from
Feb 21, 2017
Merged

[ARITH] Add CombineInterval<Div> in IntSet #48

merged 3 commits into from
Feb 21, 2017

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ZihengJiang
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ZihengJiang
ZihengJiang commented Feb 21, 2017
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src/arithmetic/int_set.cc Outdated
if (b.is_single_point()) {
if (is_zero(b.min)) {
LOG(WARNING) << "Return Everything in CombineInterval Div";
return IntSet::everything();
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or nothing?

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This should be a fatal error on division on zero.

tqchen
tqchen reviewed Feb 21, 2017
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src/arithmetic/int_set.cc Outdated
if (is_one(b.min)) return IntervalSet::make(a);
Expr e1 = a.has_lower_bound() ? ComputeExpr<Div>(a.min, b.min) : a.min;
Expr e2 = a.has_upper_bound() ? ComputeExpr<Div>(a.max, b.min) : a.min;
if (is_positive_const(b.min)) {
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rounding matters here, we need to relax it

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ignore my comment, it seems to be fine, but add a line explaining why rounding does not matter here

tqchen
tqchen reviewed Feb 21, 2017
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src/arithmetic/int_set.cc Outdated
if (is_one(b.min)) return IntervalSet::make(a);
Expr e1 = a.has_lower_bound() ? ComputeExpr<Div>(a.min, b.min) : a.min;
Expr e2 = a.has_upper_bound() ? ComputeExpr<Div>(a.max, b.min) : a.max;
// This is relaxiation due to set is inclusive
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this comment is confusing. This is not relaxation, Actually this is accurate calculation. Comment instead "no relaxation is needed in here"

@tqchen tqchen changed the title [FIX] add CombineInterval<Div> [ARITH] Add CombineInterval<Div> in IntSet Feb 21, 2017
@tqchen tqchen merged commit 3555769 into apache:master Feb 21, 2017
tqchen added a commit to tqchen/tvm that referenced this pull request May 26, 2018
@tqchen
update test (apache#48)
7660fd1
tqchen added a commit to tqchen/tvm that referenced this pull request May 26, 2018
@tqchen
[TEST] Checkin test docker and scripts (apache#48)
5176f80
tqchen added a commit that referenced this pull request May 29, 2018
@tqchen
update test (#48)
35f54ec
tqchen added a commit that referenced this pull request May 29, 2018
@tqchen
[TEST] Checkin test docker and scripts (#48)
e04779b
tqchen added a commit to tqchen/tvm that referenced this pull request Jul 6, 2018
@tqchen
update test (apache#48)
154cb98
tqchen added a commit to tqchen/tvm that referenced this pull request Jul 6, 2018
@tqchen
[TEST] Checkin test docker and scripts (apache#48)
b65c221
tqchen pushed a commit to tqchen/tvm that referenced this pull request Jul 12, 2018
@tmoreau89 @tqchen
[UTILS, DOC] Use TVM file downloading utility, conv2d tutorial (apach…
a81a167 
…e#48)
tqchen pushed a commit that referenced this pull request Jul 12, 2018
@tmoreau89 @tqchen
[UTILS, DOC] Use TVM file downloading utility, conv2d tutorial (#48)
bc80661
tqchen pushed a commit to tqchen/tvm that referenced this pull request Aug 4, 2018
@tmoreau89 @tqchen
[UTILS, DOC] Use TVM file downloading utility, conv2d tutorial (apach…
4ba6bd5 
…e#48)
sergei-mironov pushed a commit to sergei-mironov/tvm that referenced this pull request Aug 8, 2018
@tqchen @sergei-mironov
update test (apache#48)
1c97827
sergei-mironov pushed a commit to sergei-mironov/tvm that referenced this pull request Aug 8, 2018
@tqchen @sergei-mironov
[TEST] Checkin test docker and scripts (apache#48)
3b3f51c
sergei-mironov pushed a commit to sergei-mironov/tvm that referenced this pull request Aug 8, 2018
@tmoreau89 @sergei-mironov
[UTILS, DOC] Use TVM file downloading utility, conv2d tutorial (apach…
ad810e9 
…e#48)
jroesch added a commit to jroesch/tvm that referenced this pull request Aug 29, 2018
@jroesch
Reorganize node.{h, cc} (apache#48)
ff0c005 
* Refactor node.h into ir.h

* Refactor into multiple files

* Fix missing registrations

* Fix lints

* Fix file commands

* Fix file command

* Fix base.h
jroesch pushed a commit to jroesch/tvm that referenced this pull request Aug 29, 2018
@MarisaKirisame @jroesch
hide apache#16. (apache#48)
ff83701
mnuyens added a commit to mnuyens/tvm that referenced this pull request Oct 16, 2019
@mnuyens
Changing intel_graphics conv2d to match upstream (apache#48)
de97cd2
tqchen pushed a commit to tqchen/tvm that referenced this pull request Mar 29, 2020
@tmoreau89 @tqchen
[UTILS, DOC] Use TVM file downloading utility, conv2d tutorial (apach…
4f79ec9 
…e#48)
wjj19950828 pushed a commit to wjj19950828/tvm that referenced this pull request Sep 26, 2021
@jiangjiajun
Merge pull request apache#48 from heliqi/paddle_frontend
8cdea78 
dynamic problem of  conv2d and pool2d
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 <[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
mikeseven pushed a commit to mikeseven/tvm that referenced this pull request Sep 27, 2023
@JoeyChou-SiMa-ai
Merged in develop_pr (pull request apache#48)
730283c 
[Test] Develop pr

Approved-by: Onkar Chougule
csullivan pushed a commit to csullivan/tvm that referenced this pull request Feb 27, 2024
@masahi
Merge pull request apache#48 from vinx13/vllm-fp8
1fa1c24 
Add fp8 fused dequant-paged-attention in vllm
LeiWang1999 added a commit to LeiWang1999/tvm that referenced this pull request Nov 8, 2024
@LeiWang1999
[Feature] Enhancing MatmulOps with Splitk Support (apache#48)
99a744e 
* 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

---------

Co-authored-by: LeiWang199 <leiwang199>
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@ZihengJiang @tqchen