GitLab

Do the following

- Split build_and_test.sh into build_and_install.sh and test_onnxrt_unit_test.py
- Add parity tests to test_onnxrt_parity_tests.sh
- Parallelize unit and parity tests for MIGraphX-Onnxruntime integration in jenkins
- Add changes to dockerfile for additional run scripts.

Idea here is that unit tests take a while, and in the meantime if we perform
a wheel build of onnxruntime library and then run the appropriate parity tests
we should be able to catch any odd changes in parity that are missed by the unit tests
which would also appear in additional testing.

Update `mlir_program` to only create one dialect registry, and to call
registerRocMLIRPasses() (which is needed and may not be thread-safe)
exactly once. 

In addition, use a single thread pool across all contexts. This is
recommended practice upstream for libraries that perform a lot of
compile jobs, and saves on the overhead of creating and destroying a
lot of threads

Add mlir quant_dot operator support

* Update instal_prereqs.sh to handle 22.04 defines

Needed to run containers with 22.04

* Add Dockerfile for Ubuntu 22.04 and ROCm 5.5

Updated dockerfile to use ROCm 5.5 and Ubuntu 22.04 for use with building MIGraphX
Able to run make -j$(nproc) check successfully with this

* Clean this up since its breaking CI

* cleanup install preq some more.

-use one protobuf version
-remove extra python3.8 installs from 3.10 case

* Move comment for protobuf comment

* Move Dockerfile for 22.04 to Dockerfiles/ folder

* Move and rename 2204 docker file

remove Docker_** from the name. Move these to tools/docker

* Add pip3 installs to be shared between python versions

* Add Package pin from repo.radeon.com

* Add CMAKE_ARG ONNX_USE_PROTOBUF_SHARED_LIBS for every default python dist

Set this to be default as part of installing prereqs

---------
Co-authored-by: Charlie Lin <charlie.lin@amd.com>
Co-authored-by: Umang Yadav <29876643+umangyadav@users.noreply.github.com>
Co-authored-by: kahmed10 <15948690+kahmed10@users.noreply.github.com>

Co-authored-by: Sam Wu <sam.wu2@amd.com>
Co-authored-by: Paul <pfultz2@yahoo.com>

Move CI to support the rocm5.5 release

Adds support for slice,transpose,contigous and reshape fusions into input tensors for a fused mlir kernel.

* [MLIR] add dot offloads with manual tuning support
* This commit adds dot + pointwise fusion support
along with manual tuning using rocMLIR.

Enable python 3.10 bindings

Change download location for onnx model from AWS ONNX to download.onnxruntime.ai

upgrade to ROCm 5.4.2 in CI

Fix to use the contents of the .onnxrt-commit file. Docker was not assigning the contents to the dockerfile argument. Changed the technique to be used as part of the git clone download.

* Update MIGraphx Docker to point to latest working onnxrt branch.
* Add output for ONNXRUNTIME_COMMIT in CI and add env var in brackets

Update dialect registration interface
Update 2nd build pipeline call and use full arch name

* Update migraphx docker container to include half and cmake 3.24.2

Upgraded Dockerfiles and fixed tidy issues to make Ubuntu 20.04 and ROCm 5.3.0 the default 

* Enable non-standard shape
* Use perfdb for non xdlops
* Fix transpose+broadcast strides
Co-authored-by: jungpark-mlir <jungwook.park@amd.com>

* Replaced `find_library` with `find_package` to locate MLIR static library
* Unified the include dir for headers and remove backward compatibility
* Embedded the external/include dir into the exported library

Change Dockerfile to use main instead of master for ORT operations

* Add mlir c api

* Formatting

* Create a type attribute

* Formatting

* Parse module

* Formatting

* Add mlir dump function

* Add test case

* Formatting

* Fix tidy issues

* Update mlit version

* Update to newer mlir

* Format

* Move mlir to the gpu and update the test

* Formatting

* Fix bug when appending module

* Format

* Remove old cmake flag

* Update message

* Add return

* Format

* Add mlir_compile

* Format

* Register dialect

* Handle unsinged integers

* Dont provide output for return instruction

* Format

* Add code to insert memrefs

* Format

* Add mlir verification

* Formatting

* Enable pointwise_fusion

* Disable eliminate_data_type

* Set kernal name

* Format

* Fix device name

* Formatting

* Fix output arg

* Format

* Updates

* Upate hash

* Add fuse_mlir pass

* Format

* Add fuse mlir

* Format

* Update mlir

* Sort parameter names

* Format

* Reenable disabled passes

* Remove old mlir conv

* Remove asym default padding

* Add more verbose tracing

* Format

* Fix compilation errors

* Format

* Whitelist operators

* Format

* Add namespace

* Format

* Update triple

* Format

* Use func dialect

* Format

* Use func.return

* Format

* Upgrade mlir version

* Add comment

* Handle symetrical padding

* Format

* Cleanup debug output

* Format

* List failed tests

* Move mlir compile to jit pipeline

* Format

* Update version

* Add source locations

* Format

* Correctly add module

* Format

* Update failed tests

* Fix failures when mlir is disabled

* Format

* Update mlir version

* Check type for fp32

* Format

* Remove failed test

* Update mlir in driver

* Tidy fixes

* Foramt

* Tidy fixes

* Format

* Fix const

* Remove from requirements

* Fix cmake version

* Fix tidy warning

* Use another ifdef

* Fix tidy

* Other tidy fix

* Format

* Update hash

* Add missing license files

* Format

* Format

* Fix fnction name

Move to CI containers to rocm 5.0.2
upgrade to 20.04
free up some more file space in github action environments

Update the base version of clang-format from 5.0 to 10.0

Moving our Docker file from ROCm 4.3 to 4.5 
Add Navi base GPUs in to the CI infrastructure 

* Add rbuild.ini file

* Skip rbuild step

* Use rbuild for gh runners

* Update ini file

* Invalidate cache

* Use full path for ccache

* Use master
Co-authored-by: mvermeulen <5479696+mvermeulen@users.noreply.github.com>

* rename merge_from to merge_to

* refine comments

* code backup

* clang format

* The first version that can reduce scratch memory usage

* code backup

* clang format

* code backup

* clang format

* fixed a bug related to removing gemm copy

* clang format

* code backup

* clang format

* fix review comments

* clang format

* fix unit test failure

* code backup

* clang format

* code base for further investigation

* code with both the forward and backward approach to compute the conflict table

* clang format

* clang format

* backup changes

* remove unnecessary file

* remove unnecessary code

* code backup

* clang format

* code backup

* clang format'

* fix a bug in the code

* clang format

* code backup

* clang format

* remove unused code

* remove unused code

* rename some functions

* remove print code

* code backup

* add dominator to scheduling

* add dominator algorithm to remove unnecessary conflicts

* Remove comment

* Use erase_if instead

* Formatting

* Code clean up:

* Formatting

* Add dominator info class

* Formatting

* Add dom_info

* Formatting

* Add test case and fix some bugs

* Formatting

* Add unit test for scheduler

* Formatting

* Use index map instead of distance

* Formatting

* Add memory coloring test

* Check for conflict in memory coloring

* Formatting

* Use 1 stream by default

* Update to use modules

* Formatting

* Skip live on entry check

* Formatting

* Formatting

* Fix tidy warning

* Fix tidy warning

* Formatting

* Add nolint

* Use C++17 to build everything when using clang

* Remove input names

* Formatting

* Remove input names

* Keep order of params

* Formatting
Co-authored-by: Shucai Xiao <Shucai.Xiao@amd.com>
Co-authored-by: mvermeulen <5479696+mvermeulen@users.noreply.github.com>

* MLIR MIOpen Dialect integration (phase 1) (#768)

* Added Findmlir.cmake (using environment variables to import)

* Added mlir_conv pass to GPU target

  * Apply to any gpu::convolution if supported by MLIR

  * Call MLIR C-API to generate iGEMM kernel with configuration from gpu::convolution

  * Capture binary in dictionary for matching convolutions

  * Build a code_object_op with the binary and execution dimensions

  * Substitute for the gpu::convolution

* Changed the parameters for the code_object to reflect the generated MLIR kernel

* Expanded out MemRefDescriptor fields in param list

* Also updated for MLIR C-API changes

* * fixed global_size calculation

* MLIR MIOpen Dialect integration (phase 1) (#768)

* Added Findmlir.cmake (using environment variables to import)

* Added mlir_conv pass to GPU target

  * Apply to any gpu::convolution if supported by MLIR

  * Call MLIR C-API to generate iGEMM kernel with configuration from gpu::convolution

  * Capture binary in dictionary for matching convolutions

  * Build a code_object_op with the binary and execution dimensions

  * Substitute for the gpu::convolution

* Changed the parameters for the code_object to reflect the generated MLIR kernel

* Expanded out MemRefDescriptor fields in param list

* Also updated for MLIR C-API changes

* * Added command line option: --enable_mlir

* * fixed command line switch

* updated for new MLIR API changes

* * Added cget llvm-project-mlir to import MIIR API libraries into Dockerfile
  * removed cmake Findmlir

* updated for changes in MIIR C-API

* * updated CMakeLists.txt to allow disable of MLIR import

* fixed memory leaks and removed copies

* updated for 5D memrefs

* * formatting

* * fixed review comments

* * fixed merge issues

* hip gcnDeviceName now includes specifiers at the end
  * use major/minor values instead

* * disable MLIR by default

* * removed command-line switch --enable-mlir

* * fix unused when MLIR disabled

* * enable jenkins enable/test MLIR

* * format

* * fixed clang-tidy

* * added new type
Co-authored-by: Paul Fultz II <pfultz2@yahoo.com>
Co-authored-by: mvermeulen <5479696+mvermeulen@users.noreply.github.com>

* add support for axes inputs for sequeeze/unsqueeze/reduce_sum

* clang format

* fix build problems

* backup code changes

* clang format

* fix a bug in parsing quantizelinear operator

* clang format

* fix a cppcheck error

* disable different versions of unit tests for different onnx version

* clang format

* upgrade onnx to 1.8

* update onnx to 1.8.1

* disable two more real models

* clang format

* fix review comments

* fix the function of assign axes in parsing the squeeze operator

* add unit tests and fix a bug

* clang format

* fix review comments

* clang format

* fix a build error

* backup code changes

* clang format

* add more unit tests and add parsing opset version

* clang format

* fix cppcheck error

* adding installing the onnx package

* resolve no protobuf compiler

* fix cppcheck error

* add unit tests for more code coverage

* clang format

* try a comment in jenkins build

* include the install onnnx line

* code backup

* reorder the dependenciesd installed

* refine dockerfile

* fix review comments

* clang format
Co-authored-by: mvermeulen <5479696+mvermeulen@users.noreply.github.com>

* Fix tidy warnings for 4.1

* Formatting

* Upgrade to 4.1 in docker

* Remove hcc build and enable ubsan on clang debug

* Add missing openmp package

* Construct directly

* Construct directly

* Upgrade rocm-cmake version

* update README.md file

* update README.md file

* update README.md file

* update README.md file

* update README.md file

* update dependencies

* update dependencies

* update readme file

* format issue

* edit

* edit text

* update script to install all dependencies

* remove unnecessary libs

* refine readme file

* refine readme file

* refine readme file

* refine readme file

* refine README

* refine readme.md file

* fix a error in the README.md file

* change to use Dockerfile to call install_prereqs.sh

* refine readme file

* minor changes

* minor changes

* minor changes

* minor changes

* minor changes

* minor changes

* fixed a bug

* refine readme file

* minor change

* minor changes

* minor changes

* minor changes

* some additional refinement

* fix review comments

* some refinement

* fix review comments

* refine readme file

* fix minor issue

* change the miopen versioin back to 2.4.0

* fix an error in find_package

* remove an unnecessary change

* some additional refinement of the readme file

* fix readme file

* fix a review comments

* added one more note for rbuild

* add more informat for rbuild not found

* add a period

* Update README.md
Co-authored-by: kahmed10 <15948690+kahmed10@users.noreply.github.com>

* Update README.md
Co-authored-by: kahmed10 <15948690+kahmed10@users.noreply.github.com>

* Update README.md
Co-authored-by: kahmed10 <15948690+kahmed10@users.noreply.github.com>

* Update README.md
Co-authored-by: kahmed10 <15948690+kahmed10@users.noreply.github.com>

* Update README.md
Co-authored-by: kahmed10 <15948690+kahmed10@users.noreply.github.com>

* Update README.md
Co-authored-by: kahmed10 <15948690+kahmed10@users.noreply.github.com>

* Update README.md
Co-authored-by: kahmed10 <15948690+kahmed10@users.noreply.github.com>

* Update README.md
Co-authored-by: kahmed10 <15948690+kahmed10@users.noreply.github.com>

* refine a link in the readme file

* some additional refinement

* minor changes

* minor changes

* minor changes
Co-authored-by: kahmed10 <15948690+kahmed10@users.noreply.github.com>
Co-authored-by: mvermeulen <5479696+mvermeulen@users.noreply.github.com>

* disable some ort tests to pass jenkins build

* update onnxruntime to a later version and run disabled tests sequentially

* remove the command line to turn on some unit tests

* Add build and test github workflow

* Fix cget command

* Remove def-requirements.txt

* Add tmate session to debug workflow

* Run tmate session after installing dependencies

* Print date periodically

* Add clang tidy action

* Seperate build and run container in two different jobs

* Run bash script

* Remove interactive flag

* Try to mount the files

* Try to use the github workspace

* WIthout double braces

* Use env variable

* Pipe bash script in

* Run using hip-clang

* Use correct path

* Add verbose

* Remove j flag

* Only run for onnx file to debug

* Manually run clang-tidy

* Remove quiet flag

* Print header file

* Printout environment

* Remove extra defines

* Remove fixits and config flag

* Show ldd

* Add tmate session

* Run onnx protobuf first

* Generate proto for tensorflow

* Update cppcheck version

* Fix some cppcheck issues

* Add const

* Cppcheck fixes

* Formatting

* Fix more cppcheck issues

* Run two jobs

* Cache analysis and run format checking

* Fix yaml issues

* Fix yaml issues

* Fix indentation

* Switch to hip-clang for main docker file

* Use hip-clang in the readme

* Fixes for jenkins

* Use ccache to build

* Combine file

* Set restore keys

* Change stage name

* Build with ccache

* Add missing dependency for ccache

* Build debug with codecov

* Fix workflow syntax

* Fix list

* Use quotes

* Got to correct build path

* Install lcov

* Use sudo

* Echo all commands

* Setup tmate

* Add verbose output

* Build with cmake directly

* Add pthread flag

* Remove python config

* Continue on error

* Use on or off for cmake flag

* Use always upload cache

* Verbose output

* Verbose output from build

* Build one target

* Reduce debug symbols

* Increase garbage collection

* Remove dmesg

* Increase it to 20

* Update rocm cmake version

* Remove jobs from jenkins

* Run on all 3 ubuntus

* Remove gcc 5 jobs

* Dont add flag on 16.04

* Only upload coverage on 18.04

* Dont build for ubuntu 20.04

* Use matrix.os

* Use O2 for hip-clang since lower optimizations are broken

* Use rocm 3.0

* Pass ccache as cmake variable instead of env variable

* Build miopen from source

* Show ccache statistics

* Print log information

* Set compression level

* Use hash dir

* Set hashdir

* Install clang ocl from system

* Up compression level

* Add locale

* Increase cache size to 1G

* Lower compression level to 9

* Remove split dwarf

* Remove Og

* Add back Og

* Seperate debug and codecov

* Add missing backlash

* Garbage collect more often

* Add missing locales package

* Use Os

* Install onednn in docker and run tests

* Include target headers in tests

* Increase timeout

* Remove if condtion

* Make flag public

* Suppress memory leaks in onednn

* Use equal

* Add gh annotations

* Update rocm-cmake version

* Add ldconfig
Co-authored-by: Shucai Xiao <shucai@gmail.com>

* Fix issue with module wrapper

* Formatting

* Remove custom build of python 3.6

* Fix print function in tests

* Formatting

* Install onnx

* Download the models

* Add gcc 5

* Boost time limit for now

* Try to use oauth instead of app

* Disable all warnings

Co-authored-by: Paul Fultz II <pfultz2@yahoo.com>

* turn on the alexnet unit tests through downloading the real model in dockerfile

* clang format

* refine home directory

* enable all real model unit tests

* clang format

* fix review comments and disable incorrect test cases

* clang format

* increase timeout value to avoid time out

* turn on one more test

* disable one more real model unit test

* fix review comments

* remove unnecessary comment lines

* clang format

* fix review comments

* print out program info when there is an error

* clang format

* redirect c++ stdout to sys.stdout of python for python api

* clang format

* two minor issues

* fix a cppcheck error

* fix review comments

* clang format

* remove unnecessary changes

* refine script