- Add support for ENABLE_LANGUAGE_INTEROP_OPS in training build which is enabled for nightly builds
- Fix passing of environment variables to `sudo docker run` in build definitions
- Fix setup.py package naming logic
* Add flake8 to Win CI build so it's re-enabled. It was in the static analysis build that is currently disabled so checks are not running.
Fix build.py to be compliant again.
Add prefix to flake8 output so it's (hopefully) easier to identify the errors in build output.
* Add to all builds in Windows CPU CI so they all fail quickly if there's an issue.
* publish mloperatorauthor.h in the nuget
* build dmlep into arm/arm64 builds
* update to not use --use_dml everywhere, but enable custom ops everywhere
* always download directml nuget in winml builds
* always build with dml
* dont build dml for arm
Co-authored-by: Sheil Kumar <sheilk@microsoft.com>
Add transformer glue test example to show how to use ORTTrainer to fine-tune a transformer model
Co-authored-by: liqun <liqun@OrtTrainingDev4.af05slrtruoetgaxwwjv5nsq5e.px.internal.cloudapp.net>
* Add amd migraphx execution provider to onnx runtime
* rename MiGraphX to MIGraphX
* 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
* sync submodules with mater branch
* fixed a small bug
* fix various bugs to run msft real models correctly
* some code cleanup
* fix python file format
* fixed a code style issue
* add default provider for migraphx execution provider
Co-authored-by: Shucai Xiao <Shucai.Xiao@amd.com>
In this PR, we
1. create some APIs for creating NVTX objects
2. apply those APIs in pipeline-related operators and sequential executor.
As a result, we can explicitly see how a pipeline schedule is run by GPUs in
Nvidia's visual profiler. Note that these APIs are Linux only due to Nvidia's
limited support.
* Remove 'model_.' prefix for onnx model initializers in training
* fix test case remove redundant device test
* rename
* Fix state_dict/load_state_dict with frozen_weight
* nit
* Add monkey patch for pt opset 10
* remove pt patch in CI
* nit: newline
Change training perf test build to use "docker" instead of "sudo docker". The training perf test build runs in an environment that supports calling "docker" and not "sudo docker".
* gpt2 training perf
* gpt2 training perf
* debug
* debug
* debug
* fix bug
* minor
* on comments
* dynamic sql
* fix build
* minor
* linked hash
* on comments
* minor
* mem
* minor
Co-authored-by: Ethan Tao <ettao@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 install_deps.sh to use relative path from script directory to symbolic_opset10.py. This allows install_deps.sh to be called from different working directories.
* [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.
* Enable running PEP8 checks via flake8 as part of the build if flake8 is installed.
Update scripts in \tools and \onnxruntime\python. Excluding \onnxruntime\python\tools which needs a lot more work to be PEP8 compliant. Also excluding orttraining\tools for the same reason.
Install flake8 as part of the static_analysis build task in the Win-CPU CI so the checks are run in one CI build.
Update coding standards doc.
* Added aarch64 build pipeline
* Fix build error
* Remove auditwheel repair which doesn't work with cross compiling
* Statically link C++
* Added auditwheel repair back and fix stdlib.h
* Remove extra space
* Add signed nuget package to publish ort-nightly nuget feed
* Push managed nuget as well
* Indentation fix
* Indentation fix
* Update gpu.yml to also publish directml nuget
* Fix typo in naming of task
* dashboard integration - first phase
* change a field
* perf scripts
* addressing PR comments
* address comments and fix build
* minor
* make GetConfigFromData() const
* more update for comments
* addressing comments
* more on addressing comments
* minor
* fix build
* add condition check
* more on comments
* retrun status
* remove batch size
* on comments
* rename pkg path
* rename pkg path
* additional commentss
Co-authored-by: Ethan Tao <ettao@microsoft.com>
* Fix C# log APIs. Fixes github issue #3409.
* Fix build error due to accidental duplication of GraphOptimizationLevel
* Fix runoptions
* Fix broken test. Add --blame switch to dotnet test cmd line to print the failed test in case of crash.
* 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
