* link to folder instead of READMEs inside folder (#3938)
otherwise hard to find the source code
* [Node.js binding] fix linux build (#3927)
* [Node.js binding] add build flag for node.js binding (#3948)
* [Nodejs binding] create a new pipeline to generate signed binaries (#4104)
* add yml files
* update pipeline
* fix yaml syntax
* yaml pop BuildCSharp
* udpate yaml
* do not stage codesign summary
* fix build: pipeline Node.js version to 12.16.3 (#4145)
* [Node.js binding] upgrade node-addon-api to 3.0 (#4148)
* [Node.js binding] add linux and mac package (#4157)
* try mac pipeline
* fix path separator
* copy prebuilds folder
* split esrp yaml for win/mac
* disable mac signing temporarily
* add linux
* fix indent
* add nodetool in linux
* add nodetool in win-ci-2019
* replace linux build by custom docker scripts
* use manylinux as node 12.16 not working on centos6
* try ubuntu
* loosen timeout for test case - multiple runs calls
* add script to support update nodejs binding version (#4164)
* [java] Adds a CUDA test (#3956)
* [java] - adding a cuda enabled test.
* Adding --build_java to the windows gpu ci pipeline.
* Removing a stray line from the unit tests that always enabled CUDA for Java.
* Update OnnxRuntime.java for OS X environment. (#3985)
onnxruntime init failure due to wrong path of reading native libraries. In OS X 64 system, the arch name is detected as x86 which generates invalid path to read native libraries.
Exception java.lang.UnsatisfiedLinkError: no onnxruntime in java.library.path
at java.lang.ClassLoader.loadLibrary(ClassLoader.java:1867)
at java.lang.Runtime.loadLibrary0(Runtime.java:870)
at java.lang.System.loadLibrary(System.java:1122)
at ai.onnxruntime.OnnxRuntime.load(OnnxRuntime.java:174)
at ai.onnxruntime.OnnxRuntime.init(OnnxRuntime.java:81)
at ai.onnxruntime.OrtEnvironment.<clinit>(OrtEnvironment.java:24)
* Create Java publishing pipeline (#3944)
Create CPU and GPu Java publishing pipelines. Final jars are tested on all platforms. However, signing and publishing to maven are manual steps.
* Change group id to com.microsoft.onnxruntime per requirements.
* Java GPu artifact naming (#4179)
Modify gradle build so artifactID has _gpu for GPU builds.
Pass USE_CUDA flag on CUDA build
Adjust publishing pipelines to extract POM from a correct path.
Co-Authored-By: @Craigacp
* bump up ORT version to 1.3.1 (#4181)
* move back to toolset 14.16 to possibly work around nvcc bug (#4180)
* Symbolic shape inference exit on models without onnx opset used (#4090)
* Symbolic shape inference exit on models without onnx opset used
* Temporary fix for ConvTranspose with symbolic input dims
Co-authored-by: Changming Sun <me@sunchangming.com>
* Fix Nuphar test failure
* Enlarge the read buffer size in C#/Java test code (#4150)
1. Enlarge the read buffer size further, so that our code can run even faster. TODO: need apply the similar changes to python some other language bindings.
2. Add coreml_VGG16_ImageNet to the test exclusion set of x86_32. It is not a new model but previously we didn't run the test against x86_32.
* Temporarily disable windows static analysis CI job
* skip model coreml_Imputer-LogisticRegression_sklearn_load_breast_cancer
* Delete unused variable
Co-authored-by: Prasanth Pulavarthi <prasantp@microsoft.com>
Co-authored-by: Yulong Wang <yulongw@microsoft.com>
Co-authored-by: Adam Pocock <adam.pocock@oracle.com>
Co-authored-by: jji2019 <49252772+jji2019@users.noreply.github.com>
Co-authored-by: Dmitri Smirnov <yuslepukhin@users.noreply.github.com>
Co-authored-by: Dmitri Smirnov <dmitrism@microsoft.com>
Co-authored-by: George Wu <jywu@microsoft.com>
Co-authored-by: KeDengMS <kedeng@microsoft.com>
Co-authored-by: Changming Sun <me@sunchangming.com>
Co-authored-by: Changming Sun <chasun@microsoft.com>
* Add a helper script to more easily create a test directory for use with onnx_test_runner or onnxruntime_perf_test.
Add example script that can be used as a base for performance testing a model with a variety of input sizes.
Add __init__.py so files in this directory can be imported in other scripts.
* Fix some flake8 warnings.
Add example of specifying attribute for op.
* Add ability for test dir creation to fill in all missing input data with random values.
Add example of using test dir creation this way
warn that initializers are in graph input
provide a tool to move initializer out of graph input
Motivation and Context
ONNX model from IR_VERSION 4 only treats initializers that appear in graph input as non-constant. This may fail some of the graph optimizations, like const folding, operator fusion and etc. Warn the case and provide a tool.
* Add script to find calls to graph_utils::IsSupportedOptypeVersionAndDomain where the latest supported version is prior to the latest defined version.
- Added python script for generating markdown doc from the registered opkernels.
- Made some conditional changes in the pybind to expose necessary python API
- Added some missing type-constraints in the op kernel registrations
* Update version number to 0.5.0 in preparation for release
* Update to README.md to direct to Versioning doc
* Resolve PR comment
* Remove incorrect line generation
* Minor updates to update version script
* Minor comment update
* add --gen_doc to ci_build
* make gen-doc conditional to build/test step
* some fix in the git diff check
* some more trick on doc diff
* updated for input/output
* updated the contrib operator doc
* fix on missing input output descriptions
* fixed the problem of missing doc string, due to protobuf optimization
* fix
* revert last change
* moved gen_doc.py to /tools/python
* fixed typo
* unify version logic
* merge function to build.py
* read file to get version
* fix path issue
* format python
* use path join
* fix __init__.py
* move function to a separate file
* remove redundant
