### Description
<!-- Describe your changes. -->
* Remove deprecated gpu arch to control nuget/python package size
(latest TRT supports sm75 Turing and newer arch)
* Add 90 to support blackwell series in next release (86;89 not
considered as adding them will rapidly increase package size)
| arch_range | Python-cuda12 | Nuget-cuda12 |
| -------------- |
------------------------------------------------------------ |
---------------------------------- |
| 60;61;70;75;80 | Linux: 279MB Win: 267MB | Linux: 247MB Win: 235MB |
| 75;80 | Linux: 174MB Win: 162MB | Linux: 168MB Win: 156MB |
| **75;80;90** | **Linux: 299MB Win: 277MB** | **Linux: 294MB Win:
271MB** |
| 75;80;86;89 | [Linux: MB Win:
390MB](https://aiinfra.visualstudio.com/Lotus/_build/results?buildId=647457&view=results)
| Linux: 416MB Win: 383MB |
| 75;80;86;89;90 | [Linux: MB Win:
505MB](https://aiinfra.visualstudio.com/Lotus/_build/results?buildId=646536&view=results)
| Linux: 541MB Win: 498MB |
### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->
Callout: While adding sm90 support, the build of cuda11.8+cudnn8 will be
dropped in the coming ORT release,
as the build has issue with blackwell (mentioned in comments) and demand
on cuda 11 is minor, according to internal ort-cuda11 repo.
### Description
#22380 removes the file
`tools/ci_build/github/linux/docker/inference/x86_64/python/cpu/scripts/requirements.txt`
but it is still used in `dockerfiles/Dockerfile.cuda`.
This change updates the file path of the requirements.txt
fixes#22945.
### Description
This PR Fix warning - `LegacyKeyValueFormat: "ENV key=value" should be
used instead of legacy "ENV key value" format` from all Dockerfile
### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->
### Description
* Build cuda nhwc ops by default.
* Deprecate `--enable_cuda_nhwc_ops` in build.py and add
`--disable_cuda_nhwc_ops` option
Note that it requires cuDNN 9.x. If you build with cuDNN 8, NHWC ops
will be disabled automatically.
### Motivation and Context
In general, NHWC is faster than NCHW for convolution in Nvidia GPUs with
Tensor Cores, and this could improve performance for vision models.
This is the first step to prefer NHWC for CUDA in 1.21 release. Next
step is to do some tests on popular vision models. If it help in most
models and devices, set `prefer_nhwc=1` as default cuda provider option.
### Description
Upgrade python from 3.9 to 3.10 in ROCm and MigraphX docker files and CI
pipelines. Upgrade ROCm version to 6.2.3 in most places except ROCm CI,
see comment below.
Some improvements/upgrades on ROCm/Migraphx docker or pipeline:
* rocm 6.0/6.1.3 => 6.2.3
* python 3.9 => 3.10
* Ubuntu 20.04 => 22.04
* Also upgrade ml_dtypes, numpy and scipy packages.
* Fix message "ROCm version from ..." with correct file path in
CMakeList.txt
* Exclude some NHWC tests since ROCm EP lacks support for NHWC
convolution.
#### ROCm CI Pipeline:
ROCm 6.1.3 is kept in the pipeline for now.
- Failed after upgrading to ROCm 6.2.3: `HIPBLAS_STATUS_INVALID_VALUE ;
GPU=0 ; hostname=76123b390aed ;
file=/onnxruntime_src/onnxruntime/core/providers/rocm/rocm_execution_provider.cc
; line=170 ; expr=hipblasSetStream(hipblas_handle_, stream);` . It need
further investigation.
- cupy issues:
(1) It currently supports numpy < 1.27, might not work with numpy 2.x.
So we locked numpy==1.26.4 for now.
(2) cupy support of ROCm 6.2 is still in progress:
https://github.com/cupy/cupy/issues/8606.
Note that miniconda issues: its libstdc++.so.6 and libgcc_s.so.1 might
have conflict with the system ones. So we created links to use the
system ones.
#### MigraphX CI pipeline
MigraphX CI does not use cupy, and we are able to use ROCm 6.2.3 and
numpy 2.x in the pipeline.
#### Other attempts
Other things that I've tried which might help in the future:
Attempt to use a single docker file for both ROCm and Migraphx:
https://github.com/microsoft/onnxruntime/pull/22478
Upgrade to ubuntu 24.04 and python 3.12, and use venv like
[this](27903e7ff1/tools/ci_build/github/linux/docker/rocm-ci-pipeline-env.Dockerfile).
### Motivation and Context
In 1.20 release, ROCm nuget packaging pipeline will use 6.2:
https://github.com/microsoft/onnxruntime/pull/22461.
This upgrades rocm to 6.2.3 in CI pipelines to be consistent.
### Description
* Add a few arguments CUDA_VERSION, CUDNN_VERSION, OS, GIT_COMMIT,
GIT_BRANCH and ONNXRUNTIME_VERSION to the Dockerfile.cuda to allow for
more flexibility in the build process.
* Update README.md to include the new arguments and their usage.
* Output labels to image so that it is easy to inspect the image.
Available CUDA versions for ubuntu 24.04 can be found
[here](https://hub.docker.com/r/nvidia/cuda/tags), and available CUDNN
versions can be found
[here](https://pypi.org/project/nvidia-cudnn-cu12/#history). Example
command line to build docker image:
```
docker build -t onnxruntime-cuda --build-arg CUDA_VERSION=12.6.1 \
--build-arg CUDNN_VERSION=9.5.0.50 \
--build-arg GIT_BRANCH=$(git rev-parse --abbrev-ref HEAD) \
--build-arg GIT_COMMIT=$(git rev-parse HEAD) \
--build-arg ONNXRUNTIME_VERSION=$(cat ../VERSION_NUMBER) \
-f Dockerfile.cuda ..
```
Example labels from `docker inspect onnxruntime-cuda`:
```
"Labels": {
"CUDA_VERSION": "12.6.1",
"CUDNN_VERSION": "9.5.0.50",
"maintainer": "Changming Sun <chasun@microsoft.com>",
"onnxruntime_git_branch": "main",
"onnxruntime_git_commit": "bc84958dcef5c6017ae58085f55b669efd74f4a5",
"onnxruntime_version": "1.20.0",
"org.opencontainers.image.ref.name": "ubuntu",
"org.opencontainers.image.version": "24.04"
}
```
### Motivation and Context
https://github.com/microsoft/onnxruntime/pull/22339 has hard-coded the
cuda and cudnn versions. User might want to choose specified cuda and
cudnn version during building docker image.
### Description
Serve as example to build and run onnxruntime-gpu with latest software
stack.
To build docker image:
```
git clone https://github.com/microsoft/onnxruntime
cd onnxruntime/dockerfiles
docker build -t onnxruntime-cuda -f Dockerfile.cuda ..
```
To launch the docker image built from previous step (and mount the code
directory to run a unit test below):
```
cd ..
docker run --rm -it --gpus all -v $PWD:/code onnxruntime-cuda /bin/bash
```
Then run the following in docker image to verify that the cuda provider
is good:
```
python /code/onnxruntime/test/python/onnxruntime_test_python_cudagraph.py
```
### Motivation and Context
https://github.com/microsoft/onnxruntime/issues/22335
### Description
Previous image is based on cuda 12.1 and cudnn 8, which is out of date
since we have moved to cudnn 9 since 1.19 release.
(1) Upgrade base image to cuda 12.5.1 and cudnn 9.
(2) Update CMAKE_CUDA_ARCHITECTURES from 52;60;61;70;75;86 to
61;70;75;80;86;90 to support A100 and H100
(3) Make the build faster: exclude unit test; use ninja etc.
(4) upgrade some packages (like packaging etc) before building to avoid
build error.
### Motivation and Context
https://github.com/microsoft/onnxruntime/issues/21792https://github.com/microsoft/onnxruntime/issues/21532
### Description
<!-- Describe your changes. -->
update script with cmake 3.30 to unblock EP Perf
### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->
### Description
Follow up PR for bug fixes on 1.19
### Motivation and Context
- Handles 1.19 docker file fixes.
- Sets the default file naming of epctx onnx model with _ctx.onnx as
suffix.
- Create epctx model directories if it doesn't exist.
---------
Co-authored-by: jatinwadhwa921 <110383850+jatinwadhwa921@users.noreply.github.com>
### Description
These changes include
Support to OpenVINO 2024.1
Import PreCompiled Blobs with EPContext Blob
Separate Device/Precision as input
Deprecate CPU_FP32 , GPU_FP32 terminology , introduce CPU, GPU
AUTO GPU, CPU will only create GPU Blob and not CPU Blob.
### Motivation and Context
- OpenVINO 2024.1 will be out soon
- Import Precompiled Blob can greatly reduce FEIL/FIL Time.
- Separating Device/Precision will make the input cleaner
-
---------
Co-authored-by: Suryaprakash Shanmugam <suryaprakash.shanmugam@intel.com>
Co-authored-by: Preetha Veeramalai <preetha.veeramalai@intel.com>
### Description
Add NPU to list of device supported.
Added changes for Support to OV 2024.0
Nuget packages removes packaging of OpenVINO DLL
Bug Fixes with Python API
Reverted Dockerfiles not being maintained.
### Motivation and Context
NPU Device has been introduced by Intel in latest client systems
OpenVINO 2024.0 release is out.
---------
Co-authored-by: Suryaprakash Shanmugam <suryaprakash.shanmugam@intel.com>
Co-authored-by: Preetha Veeramalai <preetha.veeramalai@intel.com>
Co-authored-by: Ubuntu <ubuntu@ubuntu-118727.iind.intel.com>
Co-authored-by: hmamidix <hemax.sowjanya.mamidi@intel.com>
Co-authored-by: vthaniel <vishnudas.thaniel.s@intel.com>
Co-authored-by: saurabhkale17 <saurabh1.kale@intel.com>
### Description
Update dockerfiles/Dockerfile.source to avoid installing onnx python
package. ONNX is not listed in
https://github.com/microsoft/onnxruntime/blob/main/requirements.txt.in.
We do not have to install it. Especially when we do not run tests, the
package provides no help when building onnxruntime from source.
### Motivation and Context
Resolve#17781
### Description
1. Update docker files and their build instructions.
ARM64 and x86_64 can use the same docker file.
2. Upgrade Linux CUDA pipeline's base docker image from CentOS7 to UBI8
AB#18990
### Description
This PR enables execution of subgraphs in OVEP and currently, when OVEP
developers install the onnxruntime-openvino package on windows from
pypi, they would have to additionally download OpenVINO windows binaries
and run the setupvars.bat script which sets the environment PATH to
locate the OV dll's. Also this PR fixes issues of OVEP windows io buffer
sample.
### Motivation and Context
Fix: We want to make the user experience easy for OVEP Python developers
on windows platform.
This fix, introduces a function add_openvino_libs_to_path at the
location tools/python/util/add_openvino_win_libs.py.
The above function, can be called by OVEP python users in the
application code and that takes care of setting
the OpenVINO dll's to the path from the OpenVINO pypi packge (openvino)
which was installed.
This change also makes sure that add_openvino_libs_to_path() function is
added to onnxruntime python package
only when it is build for OpenVINO Execution Provider for ONNXRuntime
and not for default ORT python package builds.
New user experience for Python OVEP developers on windows platform:
step 1: pip install onnxruntime-openvino
step 2: pip install openvino
step 3: <Add these 2 lines in the application code>
import onnxruntime.tools.add_openvino_win_libs as utils
utils.add_openvino_libs_to_path()
---------
Signed-off-by: MaajidKhan <n.maajid.khan@intel.com>
Co-authored-by: MaajidKhan <n.maajid.khan@intel.com>
Co-authored-by: Suryaprakash Shanmugam <suryaprakash.shanmugam@intel.com>
### Description
All our Windows build pipelines already uses cmake 3.26 except one
pipeline: QNN ARM64.
This PR does the same for Linux build pipelines.
### Motivation and Context
This change is related to #15704 .
### Description
<!-- Describe your changes. -->
I fixed some broken links in the C API documentation, but then did a
quick pass over all of the links I could find and then fixed those.
### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->
I got some 404's when exploring the documentation and wanted to fix it.
### Description
Changes to incorporate OpenVINO EP 2022.3
### Motivation and Context
This change is required to incorportate OpenVINO EP 2022.3
- If it fixes an open issue, please link to the issue here. -->
Co-authored-by: mohsinmx <mohsinx.mohammad@intel.com>
Co-authored-by: Preetha Veeramalai <preetha.veeramalai@intel.com>
Co-authored-by: Aravind <aravindx.gunda@intel.com>
Co-authored-by: mayavijx <mayax.vijayan@intel.com>
Co-authored-by: flexci <mohsinmx>
### Description
Update the MIGraphX version used in ORT to rocm-5.4.0
### Motivation and Context
The previous branch migraphx_for_ort has stopped updating, it is too far
away from the MIgraphX latest release branch. More discussion here:
https://github.com/microsoft/onnxruntime/issues/14126#issuecomment-1373201049
Co-authored-by: peixuanzuo <peixuanzuo@linmif39a000004.zvflicr54joexhdgnhvmxrxygg.phxx.internal.cloudapp.net>
Update Dockerfiles of ROCm and MIGraphX to ROCm5.4
Update README.md
Co-authored-by: peixuanzuo <peixuanzuo@linmif39a000004.zvflicr54joexhdgnhvmxrxygg.phxx.internal.cloudapp.net>
### Description
Upgrade cmake version to 3.24 because I need to use a new feature that
is only provided in that version and later. Starting from cmake 3.24,
the
[FetchContent](https://cmake.org/cmake/help/latest/module/FetchContent.html#module:FetchContent)
module and the
[find_package()](https://cmake.org/cmake/help/latest/command/find_package.html#command:find_package)
command now support integration capabilities, which means calls to
"FetchContent" can be implicitly redirected to "find_package", and vice
versa. Users can use a cmake variable to control the behavior. So, we
don't need to provide such a build option. We can delete our
"onnxruntime_PREFER_SYSTEM_LIB" build option and let cmake handle it.
And it would be easier for who wants to use vcpkg.
### Motivation and Context
Provide a unified package management method, and get aligned with the
community. This change is split from #13523 for easier review.
### Description
We fix iGPU Unit and Python tests with this PR
We add packaging pip pkg to build Many Linux DockerFile
### Motivation and Context
This change is required to make sure iGPU Unit Test/Python Tests with OV
are fixed
- If it fixes an open issue, please link to the issue here. -->
Co-authored-by: shamaksx <shamax.kshirsagar@intel.com>
Co-authored-by: mayavijx <mayax.vijayan@intel.com>
Co-authored-by: pratiksha <pratikshax.bapusaheb.vanse@intel.com>
Co-authored-by: pratiksha <mohsinx.mohammad@intel.com>
Co-authored-by: Sahar Fatima <sfatima.3001@gmail.com>
Co-authored-by: Preetha Veeramalai <preetha.veeramalai@intel.com>
Co-authored-by: nmaajidk <n.maajid.khan@intel.com>
Co-authored-by: Mateusz Tabaka <mateusz.tabaka@intel.com>
This changes are to align OV 2022.2 Release with ORT . Changes
CPU FP16 Support, dGPU Support, RHEL Dockerfile, Ubuntu 20 Dockerfile
**Motivation and Context**
- This change is required to ensure ORT-OpenVINO Execution Provider is
aligned with latest changes.
- If it fixes an open issue, please link to the issue here.
Co-authored-by: mayavijx <mayax.vijayan@intel.com>
Co-authored-by: shamaksx <shamax.kshirsagar@intel.com>
Co-authored-by: pratiksha <pratikshax.bapusaheb.vanse@intel.com>
Co-authored-by: pratiksha <mohsinx.mohammad@intel.com>
Co-authored-by: Sahar Fatima <sfatima.3001@gmail.com>
Co-authored-by: Preetha Veeramalai <preetha.veeramalai@intel.com>
Co-authored-by: nmaajidk <n.maajid.khan@intel.com>
Co-authored-by: Mateusz Tabaka <mateusz.tabaka@intel.com>
Co-authored-by: intel <intel@iotgecsp-nuc04.iind.intel.com>
* move all logic for ubuntu dockerfiles
* pass in trt version
* update trt 8.0 file
* downgrade protobuf
* uncomment
* and
* change to 8.0
* update dockerfiles
* checkout protobuf based on version
* adding last dockerfile:
:
* checkout 3.10 protobuf
* fix checkout version
* update to 8.2
* keep only one submodule sync
* cleanup
* Delete Dockerfile.custom-trt-perf
* create checkout submodules script
* properly compare decimals in bin/sh
* combine build ort paths
* deprecate TRT 7.2
* only checkout protobuf if we checkout older onnx-tensorrt
* only pull nvidia container if true, update image
* downgrade protobuf only if we checkout onnx-trt
* Update linux-gpu-tensorrt-daily-perf-pipeline.yml for Azure Pipelines
* Update linux-gpu-tensorrt-daily-perf-pipeline.yml for Azure Pipelines
* Add quotes to avoid path splitting
* address shellcheck
* use shellcheck suggestions
* Enabling ov-ep for 2022.1 Release
->Added ov-ep 2022.1 flow
->Validated CPU Unit tests with OV
Master using onnxruntime_test_all unit
tests.
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Fix for output mismatch b/w OpenVINO and ONNX
Refer:
https://jira.devtools.intel.com/browse/CVS-60310
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Enabling Adobe ops
->Enable Resize op for iGPU
->Enable Add op for iGPU
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Removing irrelevant conditions
->Removing some conditions from
GetCapability() which are now not
required. (Removed conditions for
OV version support less than 2021.2)
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Enable upsample op
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Enable Adobe proxy-e model
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Removing any extra conditions for Opset13 ops
* Opset13 changes
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Exception handling for devices
* Added comments
* Implement GPU Throttling feature
*Added GPU Throttling feature for iGPU's.
when user enables it as a runtime option,
it helps in reducing overall CPU usage
of the application
*Added changes to exercise this option
using onnxruntime_perf_test application.
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Renaming the runtime config option
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Added the user to video and users group
* Handling_GPU.0_GPU.1
* Handling special conditions
->Handling corner cases for
device_type checks
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Modification to include new api 2.0 changes in the code
* Added opset13 changes
->Enabled Few ops
->Added Debug info for case 3b in getcapability()
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Enabling ov-ep for 2022.1 Release
->Added ov-ep 2022.1 flow
->Validated CPU Unit tests with OV
Master using onnxruntime_test_all unit
tests.
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Fix for output mismatch b/w OpenVINO and ONNX
Refer:
https://jira.devtools.intel.com/browse/CVS-60310
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Enabling Adobe ops
->Enable Resize op for iGPU
->Enable Add op for iGPU
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Removing irrelevant conditions
->Removing some conditions from
GetCapability() which are now not
required. (Removed conditions for
OV version support less than 2021.2)
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Enable upsample op
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Enable Adobe proxy-e model
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Removing any extra conditions for Opset13 ops
* Opset13 changes
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Exception handling for devices
* Added comments
* Implement GPU Throttling feature
*Added GPU Throttling feature for iGPU's.
when user enables it as a runtime option,
it helps in reducing overall CPU usage
of the application
*Added changes to exercise this option
using onnxruntime_perf_test application.
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Renaming the runtime config option
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Added the user to video and users group
* Handling_GPU.0_GPU.1
* Handling special conditions
->Handling corner cases for
device_type checks
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Added opset13 changes
->Enabled Few ops
->Added Debug info for case 3b in getcapability()
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Log comments updated
* Changes to enable 2.0 api
* Enabling ov-ep for 2022.1 Release
->Added ov-ep 2022.1 flow
->Validated CPU Unit tests with OV
Master using onnxruntime_test_all unit
tests.
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Fix for output mismatch b/w OpenVINO and ONNX
Refer:
https://jira.devtools.intel.com/browse/CVS-60310
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Enabling Adobe ops
->Enable Resize op for iGPU
->Enable Add op for iGPU
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Removing irrelevant conditions
->Removing some conditions from
GetCapability() which are now not
required. (Removed conditions for
OV version support less than 2021.2)
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Enable upsample op
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Enable Adobe proxy-e model
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Removing any extra conditions for Opset13 ops
* Opset13 changes
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Exception handling for devices
* Added comments
* Implement GPU Throttling feature
*Added GPU Throttling feature for iGPU's.
when user enables it as a runtime option,
it helps in reducing overall CPU usage
of the application
*Added changes to exercise this option
using onnxruntime_perf_test application.
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Renaming the runtime config option
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Added the user to video and users group
* Handling_GPU.0_GPU.1
* Handling special conditions
->Handling corner cases for
device_type checks
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Added opset13 changes
->Enabled Few ops
->Added Debug info for case 3b in getcapability()
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Fix build issue
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Fixes issues
*Fixes compiler warnings c4458 on windows.
*Fixes the bug in device_type check logic
*Adds print info for enable_opencl_throttling
option in onnxruntime_perf_test
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* commit to make openvino_2021.4 compatible
* Fixed IO Buffer Optimization
* Fix output names issue
* Fix 2021.3 branch
* Bug Fix for Multiple inputs/outputs
- Assigns the right output_name and
input_name for the graph when
returned by CompiledModel::inputs()
OV function.
- Also takex care of output mismatch
issue b/w openvino output and onnx
output
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Add comments for the changes made
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* IO Buffer Changes
* Commit for Disabling GPU Throttling for 2021.4
* Updated branch
* Fix windows build
->Fixed windows build in debug mode
->Disabled scatternd3_tensor_int64
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Fixed CPP Unit tests for CPU
-Fixed shrink, MVN, ReduceL2, Maxpool,
upsample, scatter, slice, reshape,
unsqueeze.
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Fixed first set of GPU Tests
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Fixed additional failing tests on GPU
->Added conditions to disable certain ops
under certain conditions
->Disabled certain tests
->Added some op supports for no_dimension
supported
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Added Expand op support for CPU
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Added condition for squeeze op
->Shape can't have empty axes attribute
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Add support for LessOrEqual op function
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* OV Interface wait for replaced by indefinite wait call
* use names from ONNX model to access OV tensors
This chnage is to use the input/output names
retrieved from original onnx model to access
OV tensors and to check if there's any input
or output names mismatch b/w ONNX naming
and OV naming.
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Fixes Myriad unit tests and other issues
->Fixes Myriad CPP unit tests
->Fixes output mismatch issue with models with
sub graph partitioning
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Fix segfault issue
->Fixed case 3b condition in get_capability()
which was causing the segfault issue
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Fixed build isuse with ov 2021.4 with I/O buffer
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Disables performance counters for I/O Buffer
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Fixed inputs/outputs mismatch for HDDL with 2022.1
Signed-off-by: Mohammad Amir Aqeel <mohammadx.amir.aqeel@intel.com>
* Fix to enable GPU FP16
* Enabled mlperf_ssd_mobilenet_300 model fully on CPU
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Added ov version specific dll packaging for nuget
* Fixed conditions for few ops
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Dockerfile updates
* Updated License Info
-Updated the copyrights License Info
-modified FP16 transformations with OV 2022.1
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Disabling mlperf_ssd_mobilenet_300 model
->Disabled this model for openvino. The
test is failing in Internal_CI pipelines.
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Disabling failing python CPU Tests
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Fixed flake8 python errors
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
Co-authored-by: hdgx <harinix.d.g@intel.com>
Co-authored-by: mayavijx <mayax.vijayan@intel.com>
Co-authored-by: sfatimar <sahar.fatima@intel.com>
Co-authored-by: mohsinmx <mohsinx.mohammad@intel.com>
Co-authored-by: Mohammad Amir Aqeel <mohammadx.amir.aqeel@intel.com>
* add back previous changes lost in merge
* post session to dashboard
* post session creation time to dashboard
* fix trt 8 functionality:
* add component governance
* Remove hardcoded values
* Update linux-gpu-tensorrt-daily-perf-pipeline.yml for Azure Pipelines
* cleanup errors
* post results only once
* checkout 8.0 GA
* try build 8.0 without building shared lib
* add back build_shared_lib, not the problem
* add upload_time to table
* use identifier to post
* Shorten to TRT x.x
* shorten commit hash using rev_parse
* use shortened commit hash
* use nvidia's default TRT_VERSION
* migrate to 1ES Hosted Pool
* migrate to Kusto database
* refactor and organize ep names with ORT prefix
* standardize TRT benchmarking with save/load engine, input binding, and workspace
* Add TRT 8.2 to ep perf pipeline
* update model_list.json with full onnx zoo
* add anubis credentials
* add anubis credentials
* clarify trt variables
* get system info from docker image
* remove unwanted commenting
* Changes to ensure openvino build go through in Windows
* Modified Hetero plugin Logic
*Modified Hetero Feature logic. In Hetero,
if the operator to be marked true in getcapability(),
it should be supported by either of the devices
specified with HETERO in the device_type.
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* OV updated to 2021.4.2 version
* OV updated to 2021.4.2 version
* Updated OV to 2021.4.2 version, mono download link and dotnet version
* Copying Managed nugets in openvino c# docker file
*Copying Managed nuget to nugets artifacts
directory
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
Co-authored-by: saharfraza <sfatima.3001@gmail.com>
Co-authored-by: mayavijx <mayax.vijayan@intel.com>
Co-authored-by: Aravind Gunda <aravindx.gunda@intel.com>
* Added checks for Hetero/Multi
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Remote Context Plugin
* changes for IO Buffer plugin
* erronous couts added
* erronous entry rectified
* Set the Openvino OP Buffer also as output
* Enable AUTO plugin in OpenVINO EP
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Remote Context Plugin
* changes for IO Buffer plugin
* erronous couts added
* erronous entry rectified
* Added checks for Hetero/Multi
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Set the Openvino OP Buffer also as output
* Enable AUTO plugin in OpenVINO EP
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Please commit error message and rectification of param.context
* Alignment fixed
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Changed the string to OpenVINO_GPU
* hanged OpenVINO to to OpenVINO_CPU
* Onnxruntime updated API for memory location
* Removing Duplicate LOG Error
* Tensor.h removed DeviceType function. Updated comment
* API Comments updated
* Removing changes to Provider Indo
* Erronous commit
* Removing Extra logs
* Merge CMAKE
* Not copy from a local location
* Duplicate Entry
* Remove extra line
Co-authored-by: MaajidKhan <n.maajidkhan@gmail.com>
