* add HSA_NO_SCRATCH_RECLAIM=1 to dockerfile
It is to work around an issue in AMD compiler which generates poor GPU ISA when the type of kernel parameter is a structure and “pass-by-value” is used
* update BUILD.md
* add dockerfile for rocm3.10
* Remove nGraph Execution Provider
Pursuant to nGraph deprecation notice: https://github.com/microsoft/onnxruntime/blob/master/docs/execution_providers/nGraph-ExecutionProvider.md#deprecation-notice
**Deprecation Notice**
| | |
| --- | --- |
| Deprecation Begins | June 1, 2020 |
| Removal Date | December 1, 2020 |
Starting with the OpenVINO™ toolkit 2020.2 release, all of the features
previously available through nGraph have been merged into the OpenVINO™
toolkit. As a result, all the features previously available through
ONNX RT Execution Provider for nGraph have been merged with ONNX RT
Execution Provider for OpenVINO™ toolkit.
Therefore, ONNX RT Execution Provider for **nGraph** will be deprecated
starting June 1, 2020 and will be completely removed on December 1,
2020. Users are recommended to migrate to the ONNX RT Execution Provider
for OpenVINO™ toolkit as the unified solution for all AI inferencing on
Intel® hardware.
* Remove nGraph Licence info from ThirdPartyNotices.txt
* Use simple Test.Run() for tests without EP exclusions
To be consistent with rest of test code.
* Remove nGraph EP functions from Java code
* Enabling Multi Device support for UEP
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Minor fix added
*Added a simple fix to determine OpenVINO
version for Arm build as well
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Implement Hetero in UEP
* Added security checks to take valid Hetero combinations
as device type
* Integrating Hetero features
* Get the statistics Report in Debug Mode
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Passing right device type for vadm_baackend
Added simple fix to pick the right device type
when using vadm_backend with Hetero as well.
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Fixed batching logic for 2020.4 and above
* Fixed flake8 PEP8 errors
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Minor Fixes Added
*Added security checks for device_type passed
in for Hetero build during run time
*code cleanup
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Minor changes Added
*Fixed batch_size bug in vadm_backend
*code cleanup
*Documentation updated for Hetero
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
Co-authored-by: suryasidd <surya.siddharth.pemmaraju@intel.com>
* Build ACL and ArmNN with custom library path
* Define import to tensor as a separate function for maintenance and readability
* Enabled optimized depthwise convolution for ACL v20.02
* Check operation status for ACL and ArmNN Execution Providers
* Enabled fused operation for convolution-activation
Co-authored-by: Andrei-Alexandru <andrei-alexandru.avram@nxp.com>
* Cmake changes for 2021.1
* added new ov version 2020.1 for faster rcnn
* Added missing defs
* equal op modified
* changes to incoroporate faster rcnn
* backend util.cc
* hddl_plugin_config.hpp is depreceated . instead use hddl_config.hpp
* changing myriad precision bool to i32
* gather is not enabled for gpu
* conv2D and pooltest auto_pad attribute should not be null
* negative indices are not valid for scatter op in myriad
* non max suppression op only supported in faster rcnn mode
* maxpool indices output is not supported
* Cleaned redundant code in backends
* Added ifdefs for HDDL config
* cast output dimensions check
topk operator k input it seems only resolved for myriad as it is
throwing issues for ask rcnn . need to verify
* we are limiting the subgraph size to 3 here
* taking care of review comments
* Fixed minor bugs
* Modified Slice op checks
* Added NonZero, Upsample
* Removed TopK if it's in the middle of a subgraph
* incorporated upsample conditions too
* Dockerfile changes for 2021.1 release
* dockerfile aptkey update
* Minor fixes
* ceil condition added again
* Fixed few gpu models
* Disabled LSTM and yolov3 in ModelTests
* python softmax cross entropy tests and negative log likelihood
* Update Build.md
Updated for openvino 2021.1
* Update OpenVINO-ExecutionProvider.md
update openvino execution provider for 2021.1
* Update READMe.md
updated new openvino version
* Update Dockerfile.openvino
added environment variable for DEBIAN Frontend
* Fixed myriad models
* Fixed gather condition
* Fixed mask rcnn model on myriad
* Modified Gather condition
* set default target of MCR dockerfile to MYRIAD_FP16
* Fixed tinyolov3 on CPU
* Update OpenVINO-ExecutionProvider.md
update openvino execution provider documentation
* Update Dockerfile.openvino
Removed environment variable
* Update OpenVINO-ExecutionProvider.md
update image manipulation networks supported
* Update onnx_backend_test_series_filters.jsonc
removed test_upsample_nearest from cpu test cases
* New InternalCI changes for 2021.1
* Full protobuf removed for OpenVINO
* Protobuf added
* Updated with apt installation for openvino
* Revert the testing changes
* Reverted testing changes
* File permessions are changed to original
* Deleted openvino installation and cmake change
* Optimized Dockerfile
Removed unnecessary cmake installation, numpy
* Added missing ifdefs
* delete array fix
* backend_utils.cc output_shape
* Revert "set default target of MCR dockerfile to MYRIAD_FP16"
This reverts commit 928d3e2b71e2f589cf51dacd3a133951cf9ca18d.
Co-authored-by: suryasidd <surya.siddharth.pemmaraju@intel.com>
Co-authored-by: sfatimar <sahar.fatima@intel/com>
Co-authored-by: suryasidd <48925384+suryasidd@users.noreply.github.com>
Co-authored-by: S. Manohar Karlapalem <manohar.karlapalem@intel.com>
Co-authored-by: Aravind <aravindx.gunda@intel.com>
Co-authored-by: Aravind Gunda <38353114+gundaarx@users.noreply.github.com>
* Fix Windows AI version
* Update text to extend telemetry coverage
Includes all official binaries
* Update text about EP pluggability
* Update CUDA/cuDNN versions
* Add link to reduce operator kernel page
* Update roadmap
* Add preview for migraphx
* Move Rockchip under IoT/Edge
* Update text to include ORT for Mobile doc link
* Add ACL version 20.02
* fix loging typo
* check depthwise operation based on group param
* Generate ArmNN runtime inside class constructor
* Update to the latest ONNX operation set
* Update BUILD.md
Co-authored-by: Andrei-Alexandru <andrei-alexandru.avram@nxp.com>
* Removed building ngraph from source
* Disabled some tests temporarily
* Enabled softmax for all dims
* Added onnx importer to link libraries
* int64 changes
* fixed
* temp
* slice update start and end need to be initializer
* Disabled GatherND, ScatterND, ReverseSequence operators
* Added supported ops instead of unsupported ops
* Set precision only for CPU
* Removed some unecessary conditions
* Fixed segfault in slice
* Softmax restriction removed
* changes
* Setting precision for all plugins
* Changes added to include precision
and supported ops for gpu and vpu
* branch op support
* checking for disabled python test failure
* mapped input names and tensors directly rather than copying which was leading to mismatch
* last index is not supported
mkldnn does not support pow between integers
* included the code changes
* Rename inner-scoped variable to avoid MSVC warning
* applied changed to vadm as well and removed the utility function
getinputtensors() completely
* OpenVINO multi version support: CMake changes
* OpenVINO multi version support: C++ support
* removed commented code
* Remove redundant code lines
* Revert "Rename inner-scoped variable to avoid MSVC warning"
This reverts commit 2f650493162675bc6fb70730de9656ec400be332.
Merged separately in master.
* vadm changes disabled reduction op test
* putting test_gather_negative_indices in unsupported list for now
* Update MCR Dockerfile with 2020.4
Installs OpenVINO 2020.4 from deb packages via APT tool.
* Update build docs with 2020.4 info
* Update dockerfile with OV 2020.4 info
Instructions for building OpenVINO based docker image no longer require
downloading installer package as it is installed by the dockerfile
using OpenVINO 2020.4 APT package for Ubuntu 18.04
* Added constant folding bypass logic
* Added cout statements for ci
* Added NDEBUG flag for debug symbols
* Update Ops info in docs
* fixes multiple unit tests
* mathoptest.ceil disabled for gpu and myriad
* activation test temp disabled
* Fix models for CPU
* Fixed a syntax error
* local cmmit
* fixing unit tests for myriad
* Fixed Variadic Split, Topk issues
* fix_model commit
* Fix models in myriad
* Added ifdefs for OpenVINO 2020.4
* temp
* made some changes to not operator
* Added unused parameter
* relu enabled
* Fixed bug in Conv output
* Consolidated GPU failing tests into one category
* Made it compatible to InternalCI 2020.4
* Made changes for ngraph
* Disabled test for mask,fastercnn,tinyyolov3
* Removed proxy for ci
* run_dockerbuild.sh restored to same version
* run_dockerbuild.sh restored to same version
* run_dockerbuild.sh restored to same version
* Updated documentation for 2020.4
* Removed FP32 to FP16 transformation for GPU
* Disabled Coreml-FNS-Candy model test
* Added FP16 transformations
Co-authored-by: sfatimar <sahar.fatima@intel.com>
Co-authored-by: Manohar Karlapalem <manohar.karlapalem@intel.com>
Co-authored-by: sfatimar <sahar.fatima@intel/com>
Co-authored-by: sfatimar <64512376+sfatimar@users.noreply.github.com>
Co-authored-by: intel <you@example.com>
Co-authored-by: gundaarx <aravindx.gunda@intel.com>
1. Publish the image ACR, instead of building it every time for every PR
2. Make USE_MKLML and USE_OPENMP be able to co-exist. Currently both of them are enabled in our Linux CI build but indeed only one of them is taking effect.
3. Split nuphar and DNNL to separated pipelines.
4. Fix two warnings in onnxruntime/core/optimizer/matmul_scale_fusion.cc and onnxruntime/test/tvm/tvm_basic_test.cc.
5. Update the manylinux2010_x86_64 image to the latest.
* Revert "Remove docstrigs if __ONNX_NO_DOC_STRINGS" (#4495)
This reverts commit bb4d331fa7bf1fe8d68b1527dda56e4739c80800.
* Bump version to 1.4.0 (#4496)
* Create N-1 threads in intra-op pool, given main thread now active (#4493)
Create N-1 threads in a thread pool when configured with intra-op parallelism of N. This ensures we have N active threads, given that the main thread also runs work. To avoid ambiguity on the value returned, rename ThreadPool::NumThreads method to ThreadPool::DegreeOfParallelism, and make corresponding updates in MLAS and operators.
* Conditionally compile without std::is_trivially_copyable to satisfy old GCC versions. (#4510)
* Adding CUDA arch flags for NVIDIA Jetson
Signed-off-by: Boris Fomitchev <bfomitchev@nvidia.com>
* Added Dockerfile for Jetson and instructions to build wheel and image
Signed-off-by: Boris Fomitchev <bfomitchev@nvidia.com>
* Removing guess about nvcc location
Signed-off-by: Boris Fomitchev <bfomitchev@nvidia.com>
* Restoring pip3 setuptools install order
Signed-off-by: Boris Fomitchev <bfomitchev@nvidia.com>
* Updated README with links and notes re NVIDIA Docker runtime
Signed-off-by: Boris Fomitchev <bfomitchev@nvidia.com>
* Added mention of nvidia-docker
Signed-off-by: Boris Fomitchev <bfomitchev@nvidia.com>
* Addressing code review comments
Signed-off-by: Boris Fomitchev <bfomitchev@nvidia.com>
* Addressing code review comments
Signed-off-by: Boris Fomitchev <bfomitchev@nvidia.com>
Co-authored-by: Tiago Koji Castro Shibata <ticastro@microsoft.com>
Co-authored-by: Dmitri Smirnov <yuslepukhin@users.noreply.github.com>
Co-authored-by: Tim Harris <tiharr@microsoft.com>
Co-authored-by: edgchen1 <18449977+edgchen1@users.noreply.github.com>
* Add BN to ArmNN EP
* Add Concat to ArmNN EP
* ACL logging improvements
* ArmNN logging improvements
* Fallback to CPU for 9x9 convolution in ACL EP
* Fallback to CPU for 9x9 convolution in ArmNN EP
* Enable python support for ACL and ArmNN EPs when compiled with BSP toolchain
* Removed the matmul operator
* Fix conv infer shape function
* Fix provider_names list for armnn
Co-authored-by: Andrei-Alexandru <andrei-alexandru.avram@nxp.com>
* Add amd migraphx execution provider to onnx runtime
* rename MiGraphX to MIGraphX
* add migraphx EP to tests
* support multiple program output
* disable more tests
* backup changes related to program multiple outputs
* remove logging code
* remove unnecessary changes in migraphx_execution_provider.cc
* add migraphx EP to tests
* add input requests of the batchnorm operator
* add to support an onnx operator PRelu
* update migrapx dockerfile and removed one unused line
* chagnes related to support dynamic input shape
* fix build error
* code backup
* code backup
* version that has 106 models run correctly
* code backup
* code backup
* remove unnecessary print info
* code backup
* code backup
* code backup
* code backup
* code backup
* code backup
* changes corresponding to migraphx change
* fix merge conflict
* minor code cleanup
* code cleanup
* remove unnecessary code
* remove unnecessary code
* add to support more constant folding analysis
* more constant folding checking for shape input
* add env var to control whether fp16 is enabled. Modify docker file to use ROCM3.3
* fix function name to avoid build error
* add build and execution instruction for migraphx execution provider
* added more build instructions
* fixed a small format error
* a minor change
* fix review comments
* another minor change
* additional refinement of the documents
* additional changes
* remove unnecessary changes in the dockfile
* additional changes for the dockerfile
* code change backup
* fix errors related to a few unit tests
* fix a build error related to api change
* fix unit test errors by either disabling the test or fix related isssues
* remove unnecessary log info
* sync submodule tvm with master
* remove unnecessary changes
* remove an unnecessary code line
* refine documents for addition example
* Changed the scheduler for VAD-M to bypass scheduler and modified logic
* Added extra configuration step to documentation for VAD-M
* Removed cout statement
* Fixed documentation
* Removed softmax restriction
* Added VPU config setting for graphs with dynamic shape
* Set VPU config only for MYRIAD
* Added log statement
* Add ArmNN Execution Provider
Add a new execution provider targeting Arm architecture based on ArmNN.
Validated on NXP i.MX8QM CPU with ResNet50, MobileNetv2 and VGG models.
reviewed-by: mike.caraman@nxp.com
* Minor fixes
- renamed onnxruntime_ARMNN_RELU_USECPU to onnxruntime_ARMNN_RELU_USE_CPU
- fixed acl typo
* remove extra includes. added exception for ArmNN in test
* fix indentation
* Separated the activation implementation from the cpu and fixed the blockage from the endif
Co-authored-by: Andrei-Alexandru <andrei-alexandru.avram@nxp.com>
* Initial update of readme
* Readme updates
* Review of consolidated README (#3930)
* Proposed updates for readme (#3953)
I found some of the information was duplicated within the doc, so attempted to streamline
* Fix links
* More updates
- fix build instructions
- nodejs doc reorganization
- roadmap update
- version fixes
* Update ORT Server build instructions
* More doc cleanup
* fix python dev notes name
* Update nodejs and some links
* sync eigen version back to master
* Minor fixes
* add nodsjs to sample table of content
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* address PR feedback
* address PR feedback
* nodejs build instruction
* Update Java instructions to include gradle
* Roadmap refresh
Reformat some data, fix link, minor rewording
* Clarify Visual C++ runtime req
Co-authored-by: Nat Kershaw (MSFT) <nakersha@microsoft.com>
Co-authored-by: Prasanth Pulavarthi <prasantp@microsoft.com>
Co-authored-by: manashgoswami <magoswam@microsoft.com>
Update Android build instructions to provide more information.
Add info on testing directly on Android
Update build.py to better support using Ninja generator to build Android on Windows.
* Update BUILD doc for ARM64 build for TensorRT support on Jetson device
* minor revision
* JetPack 4.4 is in developer preview stage, so we suggest to use JetPack
4.3
