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ANTLR cmake build failure #8

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wweic opened this issue Mar 2, 2019 · 0 comments
Closed

ANTLR cmake build failure #8

wweic opened this issue Mar 2, 2019 · 0 comments

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@wweic
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wweic commented Mar 2, 2019

https://neo-ai-ci.amazon-ml.com/blue/organizations/jenkins/tvm/detail/PR-7/3/pipeline/36/

+ docker/bash.sh tvmai/ci-cpu ./tests/scripts/task_build.sh build -j2

WORKSPACE: /home/ubuntu/workspace/tvm/build-cpu

DOCKER CONTAINER NAME: tvmai/ci-cpu



Running './tests/scripts/task_build.sh build -j2' inside tvmai/ci-cpu...

docker

mesg: ttyname failed: Inappropriate ioctl for device

Adding group `ubuntu' (GID 1000) ...

Done.

-- The C compiler identification is GNU 5.4.0

-- The CXX compiler identification is GNU 5.4.0

-- Check for working C compiler: /usr/bin/cc

-- Check for working C compiler: /usr/bin/cc -- works

-- Detecting C compiler ABI info

-- Detecting C compiler ABI info - done

-- Detecting C compile features

-- Detecting C compile features - done

-- Check for working CXX compiler: /usr/bin/c++

-- Check for working CXX compiler: /usr/bin/c++ -- works

-- Detecting CXX compiler ABI info

-- Detecting CXX compiler ABI info - done

-- Detecting CXX compile features

-- Detecting CXX compile features - done

-- Performing Test SUPPORT_CXX11

-- Performing Test SUPPORT_CXX11 - Success

-- Build with RPC support...

-- Build with Graph runtime support...

-- Build with Graph runtime debug support...

-- Build VTA runtime with target: sim

-- Use llvm-config=llvm-config-4.0

-- /usr/lib/llvm-4.0/include

-- Found LLVM_INCLUDE_DIRS=/usr/lib/llvm-4.0/include

-- Found LLVM_DEFINITIONS= -DNDEBUG -D_GNU_SOURCE -D__STDC_CONSTANT_MACROS -D__STDC_FORMAT_MACROS -D__STDC_LIMIT_MACROS

-- Found TVM_LLVM_VERSION=40

-- Build with LLVM 

-- Set TVM_LLVM_VERSION=40

CMake Error at cmake/modules/ANTLR.cmake:12 (list):

  list GET given empty list

Call Stack (most recent call first):

  CMakeLists.txt:190 (include)





-- Build with contrib.sort

-- Build with contrib.hybriddump

-- Configuring incomplete, errors occurred!

See also "/workspace/build/CMakeFiles/CMakeOutput.log".

See also "/workspace/build/CMakeFiles/CMakeError.log".
@wweic wweic closed this as completed Apr 12, 2019
alexwong pushed a commit to alexwong/tvm that referenced this issue Feb 24, 2020
@icemelon @kevinthesun
[Relay][AutoTVM] Relay op strategy (apache#4644)
623dd20 
* relay op strategy

fix lint

bitpack strategy

bitserial_dense (neo-ai#6)

* update strategy

* address comments

fix a few topi test

Dense strategy (neo-ai#5)

* dense

* add biforst; remove comments

* address comment

Refactor x86 conv2d_NCHWc (neo-ai#4)

* Refactor x86 conv2d

* Add x86 depthwise_conv2d_NCHWc

* Add back topi x86 conv2d_nchw

* Merge x86 conv2d_nchw and conv2d_NCHWc

* Minor fix for x86 conv2d

fix more strategy

Add x86 conv2d_NCHWc_int8 strategy (neo-ai#8)

* Add x86 conv2d_NCHWc_int8 strategy

* Remove contrib_conv2d_nchwc_int8

* Fix generic conv2d_NCHWc for int8

* Fix topi arm_cpu conv2d_NCHWc_int8

update x86 conv2d

enable specify relay ops to be tuned for autotvm

add cuda conv2d strategy

add conv2d strategy for rocm

add conv2d strategy for hls

add conv2d strategy for arm cpu

add conv2d strategy for mali

add conv2d strategy for bifrost

add conv2d strategy for intel graphics

clean up and fix lint

remove template keys from autotvm

remove 2 in the func name

address comments

fix

* fix bugs

* lint

* address comments

* add name to op implement

* Modify topi tests (neo-ai#9)

* Add pooling, reorg, softmax and vision

* Add lrn

* fix topi test

* fix more topi test

* lint

* address comments

* x

* fix more tests & bugs

* Modify more tests (neo-ai#10)

* Modify tests for bitserial_conv2d, bitserial_dense, bitserial_conv2d_rasp and bnn

* Minor fix

* More minor fix

* fix more test

* try to update vta using strategy

* fix cpptest

* x

* fix rebase err

* Fix two tests (neo-ai#11)

* change autotvm log format

* lint

* minor fix

* try fix vta test

* fix rebase err

* tweak

* tmp hack for vta pass

* fix tutorial

* fix

* fix more tutorials

* fix vta tutorial

* minor

* address comments

* fix

* address comments

* fix cpptest

* fix docs

* change data structure name and api

* address comments

* lint

* fix rebase err

* updates

* fix winograd test

* fix doc

* rebase

* upgrade tophub version number

* fix bug

* re-enable vta tsim test after tophub is upgraded

* fix vta test to use the correct args so the config can be found in tophub

Co-authored-by: Yao Wang <[email protected]>
alexwong pushed a commit to alexwong/tvm that referenced this issue Feb 26, 2020
@icemelon @kevinthesun @alexwong
[Relay][AutoTVM] Relay op strategy (apache#4644)
5f2d6d3 
* relay op strategy

fix lint

bitpack strategy

bitserial_dense (neo-ai#6)

* update strategy

* address comments

fix a few topi test

Dense strategy (neo-ai#5)

* dense

* add biforst; remove comments

* address comment

Refactor x86 conv2d_NCHWc (neo-ai#4)

* Refactor x86 conv2d

* Add x86 depthwise_conv2d_NCHWc

* Add back topi x86 conv2d_nchw

* Merge x86 conv2d_nchw and conv2d_NCHWc

* Minor fix for x86 conv2d

fix more strategy

Add x86 conv2d_NCHWc_int8 strategy (neo-ai#8)

* Add x86 conv2d_NCHWc_int8 strategy

* Remove contrib_conv2d_nchwc_int8

* Fix generic conv2d_NCHWc for int8

* Fix topi arm_cpu conv2d_NCHWc_int8

update x86 conv2d

enable specify relay ops to be tuned for autotvm

add cuda conv2d strategy

add conv2d strategy for rocm

add conv2d strategy for hls

add conv2d strategy for arm cpu

add conv2d strategy for mali

add conv2d strategy for bifrost

add conv2d strategy for intel graphics

clean up and fix lint

remove template keys from autotvm

remove 2 in the func name

address comments

fix

* fix bugs

* lint

* address comments

* add name to op implement

* Modify topi tests (neo-ai#9)

* Add pooling, reorg, softmax and vision

* Add lrn

* fix topi test

* fix more topi test

* lint

* address comments

* x

* fix more tests & bugs

* Modify more tests (neo-ai#10)

* Modify tests for bitserial_conv2d, bitserial_dense, bitserial_conv2d_rasp and bnn

* Minor fix

* More minor fix

* fix more test

* try to update vta using strategy

* fix cpptest

* x

* fix rebase err

* Fix two tests (neo-ai#11)

* change autotvm log format

* lint

* minor fix

* try fix vta test

* fix rebase err

* tweak

* tmp hack for vta pass

* fix tutorial

* fix

* fix more tutorials

* fix vta tutorial

* minor

* address comments

* fix

* address comments

* fix cpptest

* fix docs

* change data structure name and api

* address comments

* lint

* fix rebase err

* updates

* fix winograd test

* fix doc

* rebase

* upgrade tophub version number

* fix bug

* re-enable vta tsim test after tophub is upgraded

* fix vta test to use the correct args so the config can be found in tophub

Co-authored-by: Yao Wang <[email protected]>
alexwong pushed a commit to alexwong/tvm that referenced this issue Feb 28, 2020
@icemelon @kevinthesun @alexwong
[Relay][AutoTVM] Relay op strategy (apache#4644)
194a863 
* relay op strategy

fix lint

bitpack strategy

bitserial_dense (neo-ai#6)

* update strategy

* address comments

fix a few topi test

Dense strategy (neo-ai#5)

* dense

* add biforst; remove comments

* address comment

Refactor x86 conv2d_NCHWc (neo-ai#4)

* Refactor x86 conv2d

* Add x86 depthwise_conv2d_NCHWc

* Add back topi x86 conv2d_nchw

* Merge x86 conv2d_nchw and conv2d_NCHWc

* Minor fix for x86 conv2d

fix more strategy

Add x86 conv2d_NCHWc_int8 strategy (neo-ai#8)

* Add x86 conv2d_NCHWc_int8 strategy

* Remove contrib_conv2d_nchwc_int8

* Fix generic conv2d_NCHWc for int8

* Fix topi arm_cpu conv2d_NCHWc_int8

update x86 conv2d

enable specify relay ops to be tuned for autotvm

add cuda conv2d strategy

add conv2d strategy for rocm

add conv2d strategy for hls

add conv2d strategy for arm cpu

add conv2d strategy for mali

add conv2d strategy for bifrost

add conv2d strategy for intel graphics

clean up and fix lint

remove template keys from autotvm

remove 2 in the func name

address comments

fix

* fix bugs

* lint

* address comments

* add name to op implement

* Modify topi tests (neo-ai#9)

* Add pooling, reorg, softmax and vision

* Add lrn

* fix topi test

* fix more topi test

* lint

* address comments

* x

* fix more tests & bugs

* Modify more tests (neo-ai#10)

* Modify tests for bitserial_conv2d, bitserial_dense, bitserial_conv2d_rasp and bnn

* Minor fix

* More minor fix

* fix more test

* try to update vta using strategy

* fix cpptest

* x

* fix rebase err

* Fix two tests (neo-ai#11)

* change autotvm log format

* lint

* minor fix

* try fix vta test

* fix rebase err

* tweak

* tmp hack for vta pass

* fix tutorial

* fix

* fix more tutorials

* fix vta tutorial

* minor

* address comments

* fix

* address comments

* fix cpptest

* fix docs

* change data structure name and api

* address comments

* lint

* fix rebase err

* updates

* fix winograd test

* fix doc

* rebase

* upgrade tophub version number

* fix bug

* re-enable vta tsim test after tophub is upgraded

* fix vta test to use the correct args so the config can be found in tophub

Co-authored-by: Yao Wang <[email protected]>
zhiics pushed a commit that referenced this issue Mar 2, 2020
@icemelon @kevinthesun @zhiics
[Relay][AutoTVM] Relay op strategy (apache#4644)
22f7797 
* relay op strategy

fix lint

bitpack strategy

bitserial_dense (#6)

* update strategy

* address comments

fix a few topi test

Dense strategy (#5)

* dense

* add biforst; remove comments

* address comment

Refactor x86 conv2d_NCHWc (#4)

* Refactor x86 conv2d

* Add x86 depthwise_conv2d_NCHWc

* Add back topi x86 conv2d_nchw

* Merge x86 conv2d_nchw and conv2d_NCHWc

* Minor fix for x86 conv2d

fix more strategy

Add x86 conv2d_NCHWc_int8 strategy (#8)

* Add x86 conv2d_NCHWc_int8 strategy

* Remove contrib_conv2d_nchwc_int8

* Fix generic conv2d_NCHWc for int8

* Fix topi arm_cpu conv2d_NCHWc_int8

update x86 conv2d

enable specify relay ops to be tuned for autotvm

add cuda conv2d strategy

add conv2d strategy for rocm

add conv2d strategy for hls

add conv2d strategy for arm cpu

add conv2d strategy for mali

add conv2d strategy for bifrost

add conv2d strategy for intel graphics

clean up and fix lint

remove template keys from autotvm

remove 2 in the func name

address comments

fix

* fix bugs

* lint

* address comments

* add name to op implement

* Modify topi tests (#9)

* Add pooling, reorg, softmax and vision

* Add lrn

* fix topi test

* fix more topi test

* lint

* address comments

* x

* fix more tests & bugs

* Modify more tests (#10)

* Modify tests for bitserial_conv2d, bitserial_dense, bitserial_conv2d_rasp and bnn

* Minor fix

* More minor fix

* fix more test

* try to update vta using strategy

* fix cpptest

* x

* fix rebase err

* Fix two tests (#11)

* change autotvm log format

* lint

* minor fix

* try fix vta test

* fix rebase err

* tweak

* tmp hack for vta pass

* fix tutorial

* fix

* fix more tutorials

* fix vta tutorial

* minor

* address comments

* fix

* address comments

* fix cpptest

* fix docs

* change data structure name and api

* address comments

* lint

* fix rebase err

* updates

* fix winograd test

* fix doc

* rebase

* upgrade tophub version number

* fix bug

* re-enable vta tsim test after tophub is upgraded

* fix vta test to use the correct args so the config can be found in tophub

Co-authored-by: Yao Wang <[email protected]>
trevor-m pushed a commit to trevor-m/tvm that referenced this issue Jun 25, 2020
@jianzhong-xu
Merge pull request neo-ai#8 from trevor-m/trevmorr-fix-reduce
9fec6a5 
Remove bn_tuple_get_item pattern, support tuple get item in ReduceSubgraphSize
trevor-m pushed a commit to trevor-m/tvm that referenced this issue Jul 27, 2020
@jcf94 @merrymercy
@minminsun @FrozenGene
[Ansor][AutoTVM v2.0] Part 0: Ansor minimum system for auto schedule …
456c58d 
…generating (apache#5962)

* Code migration Start (neo-ai#1)

* Init commit: Code migration Start

* Add loop_state.cc/h

* Add ComputeDAG basic test

* Split transform_step out & Update more UTs (neo-ai#3)

* Split transform_step out

* Update GetProducers & GetConsumers

* Update UTs

* Add UT for CacheReadWrite & Some bug fix

* Add search_task, measure and serialization (neo-ai#4)

* Add FollowSplit & FollowFusedSplit tests

* Update dag.InferBound & its UT

* Add search_task, measure and serialization

* Update Serialization UT

* Add MetaTileRewritePolicy (neo-ai#5)

* Add feature

* Add cost_model, meta_tile_rewrite_policy

* Add MetaTileRewritePolicy basic UT

* Basic Python API for State (neo-ai#6)

* Add Basic Python API for State

* Add UTs for State

* Add Python API: Measure & Task (neo-ai#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(neo-ai#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 (neo-ai#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 (neo-ai#11)

* Update c++ code style and unit test

* Update python State wrapper and test cases

* fix unit tests

* Add RPCRunner & OpenCL/CUDA test (neo-ai#12)

* Add RPCRunner & OpenCL search test

* Add CUDA search test

* Add RPCRunner test

* rebase to upstream/master

* Add Ansor basic tutorial (neo-ai#13)

* Add basic tutorial

* migrate feature extraction (neo-ai#14)

* Add XGBModel & RPCRunnerWarpper (neo-ai#15)

* Add XGBModel & RPCRunnerWarpper

* Revert "Add Parallel Granularity Mutation"

* Migrate workload_registry.py (neo-ai#16)

* add workload registry

* update

* update

* add task scheduler (neo-ai#17)

* Add conv2d cuda tutorial with workload registry (neo-ai#18)

* add tune_test.py (the old tune_wkl.py) (neo-ai#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 (neo-ai#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 (neo-ai#21)

* Add custom sketch rule

* Bug fix

* Ansor Relay Integration (without layout rewrite) (neo-ai#22)

* relay integration

* Add tune_op_subgraph.py & Some code clean for tune_network.py (neo-ai#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 (neo-ai#25)

* Add Index simplification & API update (neo-ai#26)

* Add vectorized cooperative_fetching test

* Update math simplify for vectorized CF

* File rename

* Update tune_network

* API update

* Update PreLoadMeasuredStates & Some bug fix (neo-ai#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 (neo-ai#31)

* Add tensorize step

* State python api update (neo-ai#33)

* Start to update api

* Add compute_dag to state

* API update

* kernel layout rewrite (neo-ai#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 (neo-ai#32)

* Improve relay integration (neo-ai#34)

* tmp checkpoint

* Improve relay integration

* Improve relay integration

* Fix xgb error & Simplify dispatcher (neo-ai#35)

* Rename "MetaTileRewritePolicy" to "SketchPolicy". (neo-ai#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 (neo-ai#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 (neo-ai#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 (neo-ai#40)

* Add MutateComputeLocation and MutateParallel in evolutionary search

* fix lint

* Improve loop state python API (stage_tensors -> stage_ops) (neo-ai#41)

* improve loop state python API (stage_tensors -> stage_ops)

* fix

* ComputeDAG bug fix & Add Custom TensorCore Matmul Example (neo-ai#42)

* Bug Fix

* Sample example of Custom TensorCore Matmul

* Rever Commits, Start to build minimum Ansor system

* Code clean for minimum Ansor system

* Bug fix & Delete AccessAnalyzer

* Delete attachmap & Code clean

* Doc update

Update statenode::stages from vector to Array

* Headfile update & Python doc update

* clang-format fix

* pylint fix

* Update

* Doc update

* Update

* Bug fix after code merge to the new master

* clang-format fix

* Update

* Update

* Update std::vector to Array; Update verbosity setting; Some commemts
addressed

* std::vector->Array & std::string->String

* Add init_state to ComputeDAG

* Update

* Update some unordered_map to Map

* clang-format fix

* Comments addressed
Delete ReplayAndInferBound
Delete ReplaySteps & InferBoundCommon

* Lint fix

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Rename ansor namespace to auto_schedule

* Update

* Rename ThreadPool to ParallelFor

* Add parallel_for

* Remove ThreadPool

* Update python/tvm/auto_schedule/auto_schedule.py

* trigger CI

Co-authored-by: Lianmin Zheng <[email protected]>
Co-authored-by: Minmin Sun (孙敏敏) <[email protected]>
Co-authored-by: Zhao Wu <[email protected]>
trevor-m pushed a commit to trevor-m/tvm that referenced this issue Aug 26, 2020
@jcf94 @merrymercy
@minminsun @FrozenGene
[Ansor][AutoTVM v2.0] Part 0: Ansor minimum system for auto schedule …
3d4e1eb 
…generating (apache#5962)

* Code migration Start (neo-ai#1)

* Init commit: Code migration Start

* Add loop_state.cc/h

* Add ComputeDAG basic test

* Split transform_step out & Update more UTs (neo-ai#3)

* Split transform_step out

* Update GetProducers & GetConsumers

* Update UTs

* Add UT for CacheReadWrite & Some bug fix

* Add search_task, measure and serialization (neo-ai#4)

* Add FollowSplit & FollowFusedSplit tests

* Update dag.InferBound & its UT

* Add search_task, measure and serialization

* Update Serialization UT

* Add MetaTileRewritePolicy (neo-ai#5)

* Add feature

* Add cost_model, meta_tile_rewrite_policy

* Add MetaTileRewritePolicy basic UT

* Basic Python API for State (neo-ai#6)

* Add Basic Python API for State

* Add UTs for State

* Add Python API: Measure & Task (neo-ai#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(neo-ai#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 (neo-ai#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 (neo-ai#11)

* Update c++ code style and unit test

* Update python State wrapper and test cases

* fix unit tests

* Add RPCRunner & OpenCL/CUDA test (neo-ai#12)

* Add RPCRunner & OpenCL search test

* Add CUDA search test

* Add RPCRunner test

* rebase to upstream/master

* Add Ansor basic tutorial (neo-ai#13)

* Add basic tutorial

* migrate feature extraction (neo-ai#14)

* Add XGBModel & RPCRunnerWarpper (neo-ai#15)

* Add XGBModel & RPCRunnerWarpper

* Revert "Add Parallel Granularity Mutation"

* Migrate workload_registry.py (neo-ai#16)

* add workload registry

* update

* update

* add task scheduler (neo-ai#17)

* Add conv2d cuda tutorial with workload registry (neo-ai#18)

* add tune_test.py (the old tune_wkl.py) (neo-ai#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 (neo-ai#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 (neo-ai#21)

* Add custom sketch rule

* Bug fix

* Ansor Relay Integration (without layout rewrite) (neo-ai#22)

* relay integration

* Add tune_op_subgraph.py & Some code clean for tune_network.py (neo-ai#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 (neo-ai#25)

* Add Index simplification & API update (neo-ai#26)

* Add vectorized cooperative_fetching test

* Update math simplify for vectorized CF

* File rename

* Update tune_network

* API update

* Update PreLoadMeasuredStates & Some bug fix (neo-ai#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 (neo-ai#31)

* Add tensorize step

* State python api update (neo-ai#33)

* Start to update api

* Add compute_dag to state

* API update

* kernel layout rewrite (neo-ai#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 (neo-ai#32)

* Improve relay integration (neo-ai#34)

* tmp checkpoint

* Improve relay integration

* Improve relay integration

* Fix xgb error & Simplify dispatcher (neo-ai#35)

* Rename "MetaTileRewritePolicy" to "SketchPolicy". (neo-ai#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 (neo-ai#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 (neo-ai#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 (neo-ai#40)

* Add MutateComputeLocation and MutateParallel in evolutionary search

* fix lint

* Improve loop state python API (stage_tensors -> stage_ops) (neo-ai#41)

* improve loop state python API (stage_tensors -> stage_ops)

* fix

* ComputeDAG bug fix & Add Custom TensorCore Matmul Example (neo-ai#42)

* Bug Fix

* Sample example of Custom TensorCore Matmul

* Rever Commits, Start to build minimum Ansor system

* Code clean for minimum Ansor system

* Bug fix & Delete AccessAnalyzer

* Delete attachmap & Code clean

* Doc update

Update statenode::stages from vector to Array

* Headfile update & Python doc update

* clang-format fix

* pylint fix

* Update

* Doc update

* Update

* Bug fix after code merge to the new master

* clang-format fix

* Update

* Update

* Update std::vector to Array; Update verbosity setting; Some commemts
addressed

* std::vector->Array & std::string->String

* Add init_state to ComputeDAG

* Update

* Update some unordered_map to Map

* clang-format fix

* Comments addressed
Delete ReplayAndInferBound
Delete ReplaySteps & InferBoundCommon

* Lint fix

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Rename ansor namespace to auto_schedule

* Update

* Rename ThreadPool to ParallelFor

* Add parallel_for

* Remove ThreadPool

* Update python/tvm/auto_schedule/auto_schedule.py

* trigger CI

Co-authored-by: Lianmin Zheng <[email protected]>
Co-authored-by: Minmin Sun (孙敏敏) <[email protected]>
Co-authored-by: Zhao Wu <[email protected]>
trevor-m pushed a commit to trevor-m/tvm that referenced this issue Aug 26, 2020
@jcf94 @merrymercy
@minminsun @FrozenGene
[Ansor][AutoTVM v2.0] Part 0: Ansor minimum system for auto schedule …
67514f2 
…generating (apache#5962)

* Code migration Start (neo-ai#1)

* Init commit: Code migration Start

* Add loop_state.cc/h

* Add ComputeDAG basic test

* Split transform_step out & Update more UTs (neo-ai#3)

* Split transform_step out

* Update GetProducers & GetConsumers

* Update UTs

* Add UT for CacheReadWrite & Some bug fix

* Add search_task, measure and serialization (neo-ai#4)

* Add FollowSplit & FollowFusedSplit tests

* Update dag.InferBound & its UT

* Add search_task, measure and serialization

* Update Serialization UT

* Add MetaTileRewritePolicy (neo-ai#5)

* Add feature

* Add cost_model, meta_tile_rewrite_policy

* Add MetaTileRewritePolicy basic UT

* Basic Python API for State (neo-ai#6)

* Add Basic Python API for State

* Add UTs for State

* Add Python API: Measure & Task (neo-ai#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(neo-ai#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 (neo-ai#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 (neo-ai#11)

* Update c++ code style and unit test

* Update python State wrapper and test cases

* fix unit tests

* Add RPCRunner & OpenCL/CUDA test (neo-ai#12)

* Add RPCRunner & OpenCL search test

* Add CUDA search test

* Add RPCRunner test

* rebase to upstream/master

* Add Ansor basic tutorial (neo-ai#13)

* Add basic tutorial

* migrate feature extraction (neo-ai#14)

* Add XGBModel & RPCRunnerWarpper (neo-ai#15)

* Add XGBModel & RPCRunnerWarpper

* Revert "Add Parallel Granularity Mutation"

* Migrate workload_registry.py (neo-ai#16)

* add workload registry

* update

* update

* add task scheduler (neo-ai#17)

* Add conv2d cuda tutorial with workload registry (neo-ai#18)

* add tune_test.py (the old tune_wkl.py) (neo-ai#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 (neo-ai#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 (neo-ai#21)

* Add custom sketch rule

* Bug fix

* Ansor Relay Integration (without layout rewrite) (neo-ai#22)

* relay integration

* Add tune_op_subgraph.py & Some code clean for tune_network.py (neo-ai#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 (neo-ai#25)

* Add Index simplification & API update (neo-ai#26)

* Add vectorized cooperative_fetching test

* Update math simplify for vectorized CF

* File rename

* Update tune_network

* API update

* Update PreLoadMeasuredStates & Some bug fix (neo-ai#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 (neo-ai#31)

* Add tensorize step

* State python api update (neo-ai#33)

* Start to update api

* Add compute_dag to state

* API update

* kernel layout rewrite (neo-ai#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 (neo-ai#32)

* Improve relay integration (neo-ai#34)

* tmp checkpoint

* Improve relay integration

* Improve relay integration

* Fix xgb error & Simplify dispatcher (neo-ai#35)

* Rename "MetaTileRewritePolicy" to "SketchPolicy". (neo-ai#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 (neo-ai#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 (neo-ai#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 (neo-ai#40)

* Add MutateComputeLocation and MutateParallel in evolutionary search

* fix lint

* Improve loop state python API (stage_tensors -> stage_ops) (neo-ai#41)

* improve loop state python API (stage_tensors -> stage_ops)

* fix

* ComputeDAG bug fix & Add Custom TensorCore Matmul Example (neo-ai#42)

* Bug Fix

* Sample example of Custom TensorCore Matmul

* Rever Commits, Start to build minimum Ansor system

* Code clean for minimum Ansor system

* Bug fix & Delete AccessAnalyzer

* Delete attachmap & Code clean

* Doc update

Update statenode::stages from vector to Array

* Headfile update & Python doc update

* clang-format fix

* pylint fix

* Update

* Doc update

* Update

* Bug fix after code merge to the new master

* clang-format fix

* Update

* Update

* Update std::vector to Array; Update verbosity setting; Some commemts
addressed

* std::vector->Array & std::string->String

* Add init_state to ComputeDAG

* Update

* Update some unordered_map to Map

* clang-format fix

* Comments addressed
Delete ReplayAndInferBound
Delete ReplaySteps & InferBoundCommon

* Lint fix

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Rename ansor namespace to auto_schedule

* Update

* Rename ThreadPool to ParallelFor

* Add parallel_for

* Remove ThreadPool

* Update python/tvm/auto_schedule/auto_schedule.py

* trigger CI

Co-authored-by: Lianmin Zheng <[email protected]>
Co-authored-by: Minmin Sun (孙敏敏) <[email protected]>
Co-authored-by: Zhao Wu <[email protected]>
trevor-m pushed a commit to trevor-m/tvm that referenced this issue Sep 2, 2020
@jcf94 @merrymercy
@minminsun @FrozenGene
[Ansor][AutoTVM v2.0] Part 0: Ansor minimum system for auto schedule …
a11cb25 
…generating (apache#5962)

* Code migration Start (neo-ai#1)

* Init commit: Code migration Start

* Add loop_state.cc/h

* Add ComputeDAG basic test

* Split transform_step out & Update more UTs (neo-ai#3)

* Split transform_step out

* Update GetProducers & GetConsumers

* Update UTs

* Add UT for CacheReadWrite & Some bug fix

* Add search_task, measure and serialization (neo-ai#4)

* Add FollowSplit & FollowFusedSplit tests

* Update dag.InferBound & its UT

* Add search_task, measure and serialization

* Update Serialization UT

* Add MetaTileRewritePolicy (neo-ai#5)

* Add feature

* Add cost_model, meta_tile_rewrite_policy

* Add MetaTileRewritePolicy basic UT

* Basic Python API for State (neo-ai#6)

* Add Basic Python API for State

* Add UTs for State

* Add Python API: Measure & Task (neo-ai#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(neo-ai#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 (neo-ai#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 (neo-ai#11)

* Update c++ code style and unit test

* Update python State wrapper and test cases

* fix unit tests

* Add RPCRunner & OpenCL/CUDA test (neo-ai#12)

* Add RPCRunner & OpenCL search test

* Add CUDA search test

* Add RPCRunner test

* rebase to upstream/master

* Add Ansor basic tutorial (neo-ai#13)

* Add basic tutorial

* migrate feature extraction (neo-ai#14)

* Add XGBModel & RPCRunnerWarpper (neo-ai#15)

* Add XGBModel & RPCRunnerWarpper

* Revert "Add Parallel Granularity Mutation"

* Migrate workload_registry.py (neo-ai#16)

* add workload registry

* update

* update

* add task scheduler (neo-ai#17)

* Add conv2d cuda tutorial with workload registry (neo-ai#18)

* add tune_test.py (the old tune_wkl.py) (neo-ai#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 (neo-ai#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 (neo-ai#21)

* Add custom sketch rule

* Bug fix

* Ansor Relay Integration (without layout rewrite) (neo-ai#22)

* relay integration

* Add tune_op_subgraph.py & Some code clean for tune_network.py (neo-ai#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 (neo-ai#25)

* Add Index simplification & API update (neo-ai#26)

* Add vectorized cooperative_fetching test

* Update math simplify for vectorized CF

* File rename

* Update tune_network

* API update

* Update PreLoadMeasuredStates & Some bug fix (neo-ai#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 (neo-ai#31)

* Add tensorize step

* State python api update (neo-ai#33)

* Start to update api

* Add compute_dag to state

* API update

* kernel layout rewrite (neo-ai#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 (neo-ai#32)

* Improve relay integration (neo-ai#34)

* tmp checkpoint

* Improve relay integration

* Improve relay integration

* Fix xgb error & Simplify dispatcher (neo-ai#35)

* Rename "MetaTileRewritePolicy" to "SketchPolicy". (neo-ai#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 (neo-ai#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 (neo-ai#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 (neo-ai#40)

* Add MutateComputeLocation and MutateParallel in evolutionary search

* fix lint

* Improve loop state python API (stage_tensors -> stage_ops) (neo-ai#41)

* improve loop state python API (stage_tensors -> stage_ops)

* fix

* ComputeDAG bug fix & Add Custom TensorCore Matmul Example (neo-ai#42)

* Bug Fix

* Sample example of Custom TensorCore Matmul

* Rever Commits, Start to build minimum Ansor system

* Code clean for minimum Ansor system

* Bug fix & Delete AccessAnalyzer

* Delete attachmap & Code clean

* Doc update

Update statenode::stages from vector to Array

* Headfile update & Python doc update

* clang-format fix

* pylint fix

* Update

* Doc update

* Update

* Bug fix after code merge to the new master

* clang-format fix

* Update

* Update

* Update std::vector to Array; Update verbosity setting; Some commemts
addressed

* std::vector->Array & std::string->String

* Add init_state to ComputeDAG

* Update

* Update some unordered_map to Map

* clang-format fix

* Comments addressed
Delete ReplayAndInferBound
Delete ReplaySteps & InferBoundCommon

* Lint fix

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Rename ansor namespace to auto_schedule

* Update

* Rename ThreadPool to ParallelFor

* Add parallel_for

* Remove ThreadPool

* Update python/tvm/auto_schedule/auto_schedule.py

* trigger CI

Co-authored-by: Lianmin Zheng <[email protected]>
Co-authored-by: Minmin Sun (孙敏敏) <[email protected]>
Co-authored-by: Zhao Wu <[email protected]>
trevor-m pushed a commit that referenced this issue Sep 3, 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 (#1)

* Init commit: Code migration Start

* Add loop_state.cc/h

* Add ComputeDAG basic test

* Split transform_step out & Update more UTs (#3)

* Split transform_step out

* Update GetProducers & GetConsumers

* Update UTs

* Add UT for CacheReadWrite & Some bug fix

* Add search_task, measure and serialization (#4)

* Add FollowSplit & FollowFusedSplit tests

* Update dag.InferBound & its UT

* Add search_task, measure and serialization

* Update Serialization UT

* Add MetaTileRewritePolicy (#5)

* Add feature

* Add cost_model, meta_tile_rewrite_policy

* Add MetaTileRewritePolicy basic UT

* Basic Python API for State (#6)

* Add Basic Python API for State

* Add UTs for State

* Add Python API: Measure & Task (#7)

* Update the return value of state operation

* Add task

* Copy measure.py & utils.py

* Fix LocalBuilder

* Fix LocalRunner

* Add ansor.auto_schedule() API; First AutoSchedule working version(#8)

* Add basic Python support for ansor.auto_schedule

* Update AutoSchedule API

* Bug fix for get the attach point of a fused iter

* Update UT after infer bug fix

* Bug fix & Add python serialization API (#10)

* Delete C++ UT hack since Python is ready

* Add ndarray.non_empty

* Update Serialization python API

* Improve code style, python wrapper and test cases (#11)

* Update c++ code style and unit test

* Update python State wrapper and test cases

* fix unit tests

* Add RPCRunner & OpenCL/CUDA test (#12)

* Add RPCRunner & OpenCL search test

* Add CUDA search test

* Add RPCRunner test

* rebase to upstream/master

* Add Ansor basic tutorial (#13)

* Add basic tutorial

* migrate feature extraction (#14)

* Add XGBModel & RPCRunnerWarpper (#15)

* Add XGBModel & RPCRunnerWarpper

* Revert "Add Parallel Granularity Mutation"

* Migrate workload_registry.py (#16)

* add workload registry

* update

* update

* add task scheduler (#17)

* Add conv2d cuda tutorial with workload registry (#18)

* add tune_test.py (the old tune_wkl.py) (#19)

* add tune_test.py (the old tune_wkl.py)

* update

* fix measure

* fix for gpu

* Code refine for tune_test.py & Add a pre load callback (#20)

* Bug fix for tutorials

* Add PreLoadMeasuredStates

* Add search_callback support for task tuner

* Code refine for tune_test.py

* Update

* Update

* Update

* Update

* Bug fix

* Add python custom sketch rule (#21)

* Add custom sketch rule

* Bug fix

* Ansor Relay Integration (without layout rewrite) (#22)

* relay integration

* Add tune_op_subgraph.py & Some code clean for tune_network.py (#23)

* Add single op tune scripts

* Add tune subgraph support

* Merge all op & all subgraph to one file

* Rename file

* add explicit_unroll_max_extent (#25)

* Add Index simplification & API update (#26)

* Add vectorized cooperative_fetching test

* Update math simplify for vectorized CF

* File rename

* Update tune_network

* API update

* Update PreLoadMeasuredStates & Some bug fix (#27)

* Add a threading wrapper to fix the test bug

* Set default TVM_USE_AUTO_SCHEDULER to false

* Update PreLoadMeasuredStates callback

* Add tensorize step for loop_state (#31)

* Add tensorize step

* State python api update (#33)

* Start to update api

* Add compute_dag to state

* API update

* kernel layout rewrite (#28)

* kernel layout rewrite

* remove some hacks

* add defuse_ops pass and move kernel_layout_rewrite pass after fuse_ops pass

* set TVM_RELAY_DISABLE_BUILD_CACHE for task extraction and prepare_layout_rewrite

* [cache flush] port cache flush to ansor (#32)

* Improve relay integration (#34)

* tmp checkpoint

* Improve relay integration

* Improve relay integration

* Fix xgb error & Simplify dispatcher (#35)

* Rename "MetaTileRewritePolicy" to "SketchPolicy". (#36)

* Rename "MetaTileRewritePolicy" to "SketchPolicy".

* Add a new class for auto_unroll_max_step, storage_offset in StageNode

* fix tune_op_subgraph.py

* rebase

* Migrate all node::make to noderef's construct function (#37)

* Start to move xxxnode::make to noderef()

* Update

* Update

* Finish transform_step

* Finish comute dag & auto schedule

* Update

* Update

* Update

* Update

* Update

* Code refine

* Code refine

* Code refine

* Update

* Update

* Some lint fix & Recover the double constructor of tvm::PrimExpr (#39)

* lint fix

* clang-format-fix

* pylint fix

* Update

* Recover the double constructor of tvm::PrimExpr

* Fix pylint

* pylint fix

* pylint fix

* Add MutateComputeLocation and MutateParallel in evolutionary search (#40)

* Add MutateComputeLocation and MutateParallel in evolutionary search

* fix lint

* Improve loop state python API (stage_tensors -> stage_ops) (#41)

* improve loop state python API (stage_tensors -> stage_ops)

* fix

* ComputeDAG bug fix & Add Custom TensorCore Matmul Example (#42)

* Bug Fix

* Sample example of Custom TensorCore Matmul

* Rever Commits, Start to build minimum Ansor system

* Code clean for minimum Ansor system

* Bug fix & Delete AccessAnalyzer

* Delete attachmap & Code clean

* Doc update

Update statenode::stages from vector to Array

* Headfile update & Python doc update

* clang-format fix

* pylint fix

* Update

* Doc update

* Update

* Bug fix after code merge to the new master

* clang-format fix

* Update

* Update

* Update std::vector to Array; Update verbosity setting; Some commemts
addressed

* std::vector->Array & std::string->String

* Add init_state to ComputeDAG

* Update

* Update some unordered_map to Map

* clang-format fix

* Comments addressed
Delete ReplayAndInferBound
Delete ReplaySteps & InferBoundCommon

* Lint fix

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Rename ansor namespace to auto_schedule

* Update

* Rename ThreadPool to ParallelFor

* Add parallel_for

* Remove ThreadPool

* Update python/tvm/auto_schedule/auto_schedule.py

* trigger CI

Co-authored-by: Lianmin Zheng <[email protected]>
Co-authored-by: Minmin Sun (孙敏敏) <[email protected]>
Co-authored-by: Zhao Wu <[email protected]>
apivovarov pushed a commit that referenced this issue Feb 18, 2022
@ylc
[Relay][Quantization] Per-Channel FQ2I (apache#8883)
bd0eed6 
* WIP support per-channel quantization

* more WIP

* More WIP

* fix issue with per-channel bias_add

* Fix fake quantize tests (#4)

* Fixed fake quantize issues.

* Formatting.

* Cleanup unused imports

* Fix real int8 tests.

* Add Relu

* One more little one (#5)

* Fixed fake quantize issues.

* Formatting.

* Cleanup unused imports

* Fix real int8 tests.

* Fix requantize shape bug.

* Non-working Per-channel Dense

* Fix legalization for non spatial operators. (#6)

* Fix legalization for non spatial operators.

* Fix axis checks for end2end functionality.

* fix axis normalization

fix lint

fix lint again

* Per channel fq2i (#8)

* WIP support per-channel quantization

* more WIP

* More WIP

* fix issue with per-channel bias_add

* Fix fake quantize tests (#4)

* Fixed fake quantize issues.

* Formatting.

* Cleanup unused imports

* Fix real int8 tests.

* Add Relu

* One more little one (#5)

* Fixed fake quantize issues.

* Formatting.

* Cleanup unused imports

* Fix real int8 tests.

* Fix requantize shape bug.

* Non-working Per-channel Dense

* Fix legalization for non spatial operators. (#6)

* Fix legalization for non spatial operators.

* Fix axis checks for end2end functionality.

* fix axis normalization

fix lint

fix lint again

* Fix bug in requantize dimension expansion.

* Format.

Co-authored-by: Josh Fromm <[email protected]>

* respond to review comments

respond to review comments

Co-authored-by: Josh Fromm <[email protected]>
apivovarov pushed a commit that referenced this issue Feb 18, 2022
@anwang2009 @ylc
[ONNX] Support depth_to_space op for FQ2I (apache#8966)
55a5dd5 
* WIP support per-channel quantization

* more WIP

* More WIP

* fix issue with per-channel bias_add

* Fix fake quantize tests (#4)

* Fixed fake quantize issues.

* Formatting.

* Cleanup unused imports

* Fix real int8 tests.

* Add Relu

* One more little one (#5)

* Fixed fake quantize issues.

* Formatting.

* Cleanup unused imports

* Fix real int8 tests.

* Fix requantize shape bug.

* Non-working Per-channel Dense

* Fix legalization for non spatial operators. (#6)

* Fix legalization for non spatial operators.

* Fix axis checks for end2end functionality.

* fix axis normalization

fix lint

fix lint again

* Per channel fq2i (#8)

* WIP support per-channel quantization

* more WIP

* More WIP

* fix issue with per-channel bias_add

* Fix fake quantize tests (#4)

* Fixed fake quantize issues.

* Formatting.

* Cleanup unused imports

* Fix real int8 tests.

* Add Relu

* One more little one (#5)

* Fixed fake quantize issues.

* Formatting.

* Cleanup unused imports

* Fix real int8 tests.

* Fix requantize shape bug.

* Non-working Per-channel Dense

* Fix legalization for non spatial operators. (#6)

* Fix legalization for non spatial operators.

* Fix axis checks for end2end functionality.

* fix axis normalization

fix lint

fix lint again

* Fix bug in requantize dimension expansion.

* Format.

Co-authored-by: Josh Fromm <[email protected]>

* respond to review comments

* start dtos

* wip depth_to_space

* dtos ident

Co-authored-by: Matthew <[email protected]>
Co-authored-by: Josh Fromm <[email protected]>
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