GitLab

Renames deconvolution -> convolution_backwards to be more consistent with the literature
Note: this is not the cross-correlation operator (which is the adjoint of convolution). This is technically a standard convolution operator combined with an upsampling operator rather than a downsampling operator.
Adds unit tests for the padding, strides, dilations, and other op attributes.
Throws on auto_pad attribute since it has not been implemented
Previously it read the attribute and set it but then did nothing with it
Extended for dynamic shapes
Does not support using asymmetric padding (padding_L != padding_R) and output_shape with dynamic shapes.

* do not use int8x4 format for the rocblas

Changes to the way Pooling operation calculates pooling when there's padding. Old code would clip off any padding values before computing; for instance if an Average pooling window contained 0 1 2 where the 0 is padding, the result was 1.5 instead of 1.0. See Issue 1766

Export API symbols for migraphx, migraphx_ref, migraphx_cpu, migrphx_gpu, migraphx_device, migraphx_tf, and migraphx_onnx. There is a separate PR for migrahx_c.

API symbol exporting affects only Windows. It is transparent on Linux.

* move tidy,cppcheck to rocm-ubuntu runners

This will also annotate the function with the block size so the compiler can do a better job of optimizing.

This is to help enable multi-target execution. We store a vector of targets and contexts. Currently this will only compile a single target, the PR #1672 is needed to enable multiple targets.

This will also serialize the targets and contexts.

When using the execution_environment or prog.get_context() it will always use the context from the first target assuming this is the "primary" target. Although, its unlikely a user would use execution_environment with a multi-target environment.

Fixes the failing test case in #1815. Added a test that would otherwise fail without the change.

Needed to run multi-targeted program where "main" isn't the only root module. There could be many root modules other than main.

Updates ref version of clip to work with dynamic shapes
Encountered in agentmodel

Add a CI job to test CK
Add MIGRAPHX_TUNE_CK env variable to only do tuning for CK
Continue tuning even when there is invalid configs
Fix a bug with parallel compilation not using all available threads
Add additional test for gemms using half types
Removed int32 as supported type since it doesnt pass our test suite

This will show the instructions that are inserted for each onnx operator. This should help debugging where certain instructions come from.

Bump MLIR commit to include latest supported pointwise ops.
Expand the MLIR approve list 
Ensure that operations such as tanh() that don't have integer implementations (at least in MLIR) aren't used within MLIR modules.
Add additional tests.

Co-authored-by: Artur Wojcik <artur.wojcik@amd.com>

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

Fixes #1852  Fixes #1847

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: kahmed10 <15948690+kahmed10@users.noreply.github.com>

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

Co-authored-by: causten <causten@users.noreply.github.com>
Co-authored-by: Ted Themistokleous <107195283+TedThemistokleous@users.noreply.github.com>

* Add trace for SIMPLIFY_ALGEBRA matches

* Fix format

* handle review comments from Umang

-int to size_t for trace
-move env arg to top of simplify_algebra.cpp
-handle overload beter for find_matches

* Rename trace_mod param to trace_pass

More representative naming for what this trace flag does