Re-enable tests that disabled in PR 8530
Update import of test_optimizer.py so that the test could run in source directory.
Add a parameter to disable symbolic shape inference in fp16 conversion since it throws exception for some model.
* integrate eager mode source codde; build with cmake and integrate the python test
* Adding the python path for importing libraries in the Eager mode
* fix clang break;check if training and python enabled
* handling the linking of torch libraries across multiple platforms
* merge and fix the naming
* add build instruction
Co-authored-by: Abhishek Jindal <abjindal@OrtTrainingDev0.af05slrtruoetgaxwwjv5nsq5e.px.internal.cloudapp.net>
Co-authored-by: ajindal1 <abjindal@microsoft.com>
* updates for picking pnnx commit
* add tests filter to c# tests
* plus test fixes
* fix versioning for contrib ops
* fix tests
* test filter for optional ops
* more versioning related updates
* fix test
* fix layernorm spec
* more updates
* update docs
* add more test filters
* more filters
* update binary size threshold
* update docs
* plus more fixes
* updates per review
* update to release commit
* add filters for optional type tests
* plus updates
* Implement multi-stage Dockerfile
- Reduces image size from 2.3 GB to 1.46 GB.
- Uses Ubuntu based OpenVINO image as base image leading to fewer
required instructions
- Does not include unnecessary build time components in deploy image
* Remove wget after usage
* Uninstall wget in the same RUN statement
Avoids re-distributing wget package in any of the layers
* Update License header according to Intel guidelines
Updated the license header according to Intel corporate guidelines.
* Use Ubuntu18's default Python3
Don't install Miniconda and use the default Python3 provided by
the base Ubuntu 18 OS.
* OpenVINO EP with CentOS7
Dockefile to build ONNX RT with OpenVINO EP with a CentOS 7 base.
* Dockerfile documentation changes
Updated documentation to show the latest docker image location and
usage details.
* updated ov-ep doc link
* Temporarily disabling VAD-M due to regression
* fix for vad-m daemon config setting
* Revert "Temporarily disabling VAD-M due to regression"
This reverts commit c503bea38397f332b220321823e0ca1c55f4aab3.
VAD-M issue fixed. this is no longer needed
* Revert "Revert "Temporarily disabling VAD-M due to regression""
This reverts commit 7ca53feb2ba585c050be81770698f9abae8dbe28.
* Revert "fix for vad-m daemon config setting"
This reverts commit 9964f8452194655c0b988bd8472da45996deca38.
* Ubuntu Dockerfile update w.r.t 2021.4
This dockerfile uses openvino 2021.4 runtime
base image from OpenVINO.
uses onnxruntime 1.8 release branch to generate the
image.
Added fix for VADM HDDL
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Added new dependency in deploy stage
Added sources for all the dependency
packages of unattended-upgrades package
which had GPL license into deploy stage.
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Updated CentOS Dockerfile to the latest 2021.4
-Dockerfile updated
-VADM Fix added
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Updated c# openvino dockerfile w.r.t 2021.4
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Updated the ubuntu dockefile branch and repo
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Updated Dockerfile Documentation w.r.t 2021.4
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
* Updated GCC version to 10 for centos dockerfile
Signed-off-by: MaajidKhan <n.maajidkhan@gmail.com>
Co-authored-by: S. Manohar Karlapalem <manohar.karlapalem@intel.com>
* update onnx-tensorrt parser to master
* disable unsupported tests
* add cuda sm 75 for T4
* update tensorrt pipeline
* update trt pipelines
* update trt pipelines
* Update linux-gpu-tensorrt-ci-pipeline.yml
* update trt cid pipeline
* Update linux-gpu-tensorrt-ci-pipeline.yml
* Update Tensorrt Windows build pool and TensorRT/CUDA/CuDNN version
* update to cuda11.4 in trt ci pipeline
* update base image to cuda11.4
* update packaging pipeline to cuda11.4
* clean up
* remove cuda11.1 and cuda11.3 docker file
* disable unsupported tensorrt tests at runtime
* Update linux-multi-gpu-tensorrt-ci-pipeline.yml
don't transpose B if A is a 1D array
Don't transpose and pre-pack B if A is a 1D array, because
we only handle non-transposed case when we compute MatMul's
shape in codegen/mti/math/matmul_ops.cc
Co-authored-by: Yang Chen <yanchen@microsoft.com>
1. Update SDLNativeRules from v2 to v3. The new one allows us setting excluded paths.
2. Update TSAUpload from v1 to v2. And add a config file ".gdn/.gdntsa" for it.
3. Fix some parentheses warnings
4. Update cmake to the latest.
5. Remove "--x86" build option from pipeline yaml files. Now we can auto-detect cpu architecture from python. So we don't need to ask user to specify it.
* enable shared lib test on linux
* fix build break
* add onnx dependency
* add rpath
* skip the test for linux training
* set ONNX_ML definition
* install training python dependency
* update
* fix format; add eigen include folder
* fix format
* skip amd build
* enable shared provider on training
* fix comments in pr
Co-authored-by: Ubuntu <chenta@chenta-orttraining-cpu.bxgbzpva45kedp3rhbsbit4phb.jx.internal.cloudapp.net>
Co-authored-by: Changming Sun <chasun@microsoft.com>
