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onnxruntime/cmake
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Ryan Lai 285d4c85ff
Windowsai without fi (#2701) 
* Disable Attention fusion tests when DISABLE_CONTRIB_OPS is defined (#2529)

* Setup java ci (#2528)

* Add provision in ORT for session options to be parsed when available via model file  (#2449)

* Initial commit

* Fix gitmodules

* Nits

* Nits

* Updates

* Update

* More changes

* Updates

* Update

* Some updates

* More changes

* Update

* Update

* Merge

* Update

* Updates

* More changes

* Update

* Fix nits

* Updates

* Fix warning

* Fix build

* Add comment

* PR feedback

* PR feedback

* Updates

* Updates

* Update

* More changes

* Fix build break

* Comment test for now

* Updates

* Updates

* PR feedback

* Updates

* Nits

* Add tests

* Fix build

* Fix build

* Fix build

* Fix build break

* Fix build

* Nits

* PR feedback

* More change

* Expose GetSessionOptions in pybind logic and add unit test for python

* Fix build

* PR feedback

* PR feedback

* Revert "Disable thread pool creation when enabled OpenMP (#2485)" (#2535)

This reverts commit 7c7d5a149c.

* Add dynamic shape support in TensorRT execution provider (#2450)

* remove onnx-tensorrt submodule

* add new onnx-tensorrt submodule (experiment) for trt6

* update engine build for trt6

* update compile and compute for tensorrt6.0

* Update tensorrt_execution_provider.cc

* Update tensorrt_execution_provider.cc

* Update tensorrt_execution_provider.cc

* Update tensorrt_execution_provider.cc

* switch to onnx-tensorrt master for TensorRT6'

* Update tensorrt_execution_provider.cc

* Handle dynamic batch size and add memcpy in TensorRT EP

* update test cases

* Update tensorrt_execution_provider.cc

* update onnx-tensorrt submodule

* Update Dockerfile.ubuntu_tensorrt

* Update Dockerfile.ubuntu_tensorrt

* Update run_dockerbuild.sh

* Update run_dockerbuild.sh

* Update install_ubuntu.sh

* Update concat_op_test.cc

* Update tensorrt_execution_provider.cc

* Upgrade TensorRT to version 6.0.1.5

* Update onnxruntime_providers.cmake

* Update CMakeLists.txt

* Update reduction_ops_test.cc

* Update install_ubuntu.sh

* Update Dockerfile.ubuntu_tensorrt

* Update Dockerfile.tensorrt

* Update BUILD.md

* Update run_dockerbuild.sh

* Update install_ubuntu.sh

* Update onnxruntime_providers.cmake

* Update install_ubuntu.sh

* Update install_ubuntu.sh

* Update gemm_test.cc

* Update gather_op_test.cc

* Update CMakeLists.txt

* Removed submodule

* update onnx-tensorrt submodule

* update header file

* Removed submodule

* add submodule onnx-tensorrt kevin's branch shape-test'

* add debugging code

* Update tensorrt_execution_provider.cc

* Update tensorrt_execution_provider.cc

* merge master

* Removed submodule

* update onnx-tensorrt submodule

* add more changes for dynamic shapes

* Update tensorrt_execution_provider.cc

* update for dynamic shape

* update dynamic shape processing

* fix logger issue

* remove submodule onnx-tensorrt

* add submodule onnx-tensorrt

* add env variable min_subgraph_size

* remove redundency

* update document

* use onnxruntime::make_unique

* fix multi-run issue

* remove some tests to save CI build time

* Add dynamic shape test

* Update TensorRT-ExecutionProvider.md

* Add example of running Faster R-CNN model on TensorRT EP

* Add more details on env variables

* update environment variables

* Update tensorrt_basic_test.cc

* Update model tests

* Update tensor_op_test.cc

* remove --use_full_protobuf

* Update build.py

* User/xianz/telemetry (#2458)

* enabme telemetry

* enable telemetry

* set enable telemetry as default

* for debugging

* remove log and set disable telemetry as default back

* delete private file while testing

* resolve comment: mainly add license header, rename macro and update docs

* rewording in privacy.md

* Fix integer overflow in cuda NonMaxSuppression implementation (#2540)

* add test case that should pass but fail

* fix nms

* extract int_max_output_boxes_per_class

* Introduce container type runtime checks and other improvements (#2522)

Rework TensorSeq in a manner consistent with Tensor and SparseTensor
  in terms of type system setup.
  Reduce templating. Introduce helpers to ensure the same
  data type.
  Make OrtValue __dtor not virtual.
  Introduce ContainerChecker

* Fix C API tests for centos and mac (#2544)

* change c++14 to c++11

* add ld lib path for centos

* enable csharp tests on macos

* fix C API test on MacOS + fix manylinux dotnet install

* fix manylinux dotnet install

* fix lib link

* Add back executable bit to build.py

* Fix a bug handling negative begin pad values in Pad op (#2550)

* Fix bug in Pad op

* Update

* DNNL CMAKE update (#2548)

* Fix android build (#2558)

* Update win-x86-ci.yml (#2557)

Fix build pipeline break

* Re-enable Windows C# tests (#2564)

* disable onnx_test_runner -x invocations for dnnl (#2568)

* Allow sequence length to be symbolic (#2559)

* setup java ci mac (#2570)

* make layernorm fusion to support opset 11 (#2545)

* Fix a warning found in the latest VS release

* Add more check on SkipLayerNorm and BiasGelu fusion (#2574)

* Fix file not found error during docker build. (#2569)

* Add ConvTranspose1D (#2578)

* Ryanunderhill/packagename test (#2582)

* [Nuphar EP] fixes for some object detection models (#2581)

Update notebook tutorial with multi-threaded int8 GEMM from #2517

* EmbedLayerNormalization Fusion Improvement (#2553)

Embedding layer norm fusion improvements - add more checks

* Update version (#2584)

* Temporarily exclude vgg19 test from Python backend test

1. temporarily exclude vgg19 test which comsumes too much memory, run out of memory on Upsquared device. Single test pass for vgg19, need furture investigation (#2588)
2. Update docker file to decrease the docker image size

* Update docs for Android NNAPI EP (#2586)

* Fix lto bug for protobuf and ubuntu

* add path to build dir before test run (#2590)

* Add missig env variables for mac pipeline test (#2595)

* Fixed an issue in updating realized dims (#2597)

when we update realized dims for scan's output, the sliced axis also
needs to be inclusive, i.e. we should check with "dim >= insert_inclusive_axis",
because the offset in the symbols are based on Scan sugraph.
Otherwise, we would end up with shape mismatch later.

* Java API for onnxruntime (#2215)

* Add support for opset 11 in reshape fusion (#2592)

 Support opset verion 11 in reshape fusion

* Rename automl python tools folder to featurizer_ops. (#2593)

* Support opset 11 subgraph of Squad model in Embed Layer Normalization (#2605)

Support opset 11 Squad model that is exported from PyTorch nightly. The embed layer uses Range op which is missed in the transformer.

* symbolic shape inference: fix warnings in GPT-2 model (#2608)

And revise nuphar perf test on BERT squad

* Dump subgraph ID and fused graph ID (#2607)

* Dump subgraph ID and fused graph ID

Dump subgraph ID and fused graph ID for better debugging

* Remove local static fused_count

added a field global_fused_count_ to NupharExecutionProvider class

* EmbedLayerNormalization Fusion For Dynamic Squad Model Opset 10 (#2613)

Support subgraph of SQuAD model exported from pytorch with dynamic input axes

* Allow providers to be set for InferenceSession at construction (#2606)

* Remove unnecessary parameter in some places in GatherElements implementation (#2612)

* Remove unnecessary parameter in some places

* Update

* Update

* Make sure fenced tensor could not reuse other tensor. (#2561)

Fix random error caused by this.

* Improve Embed Layer Norm Fusion for SQuAD with static input shape  (#2621)

* fix float16 comparison in initializer (#2629)

* epsilon attribute for layernormalization fusion (#2639)

* removed unnecessary batch file and fix path (#2640)

* Add shape inference to ConvTransposeWithDynamicPads schema (#2632)

* Improve cuda expand() opeator's performance. (#2624)

* Cuda pad optimize when no padding is needed. (#2625)

* Shortcut cuda Pad() when no padding is needed.

* Optimize cuda scatter() on 2D compatible. (#2628)

* Optimize cuda scatter() on 2D compatible.

* Add some comments.

* fix build error for ARM (#2648)

* Improve performance of resize() in Nearest mode (#2626)

Special treatment for 2D, check same size as input image.
And in 2d kernel, template use_expolation.

* Fix memory exception in Layer Norm Fusion (#2644)

* Windows CI changes(#2650)

* Revert "User/orilevari/windowsai master merge (#2674)"

This reverts commit fe26146311.
2019-12-19 12:56:49 -08:00
..
external Windowsai without fi (#2701) 2019-12-19 12:56:49 -08:00
onnx make builds more robust (#906) (#932) 2019-04-29 12:58:20 -07:00
patches User/orilevari/windowsai master merge (#2674) 2019-12-17 12:23:40 -08:00
CMakeLists.txt Windowsai without fi (#2701) 2019-12-19 12:56:49 -08:00
ConfigureVisualStudioCodeAnalysis.props Initial bootstrap commit. 2018-11-19 16:48:22 -08:00
EnableVisualStudioCodeAnalysis.props Initial bootstrap commit. 2018-11-19 16:48:22 -08:00
get_boost.cmake restore ninja compatibility 2019-05-15 10:18:52 -07:00
onnxruntime.cmake Merge branch 'layer_dev' into windowsai 2019-12-06 16:23:05 -08:00
onnxruntime_automl_featurizers.cmake Windowsai without fi (#2701) 2019-12-19 12:56:49 -08:00
onnxruntime_codegen.cmake Replace GSL with GSL-LITE submodule and fix up refs (#1920) 2019-10-01 12:43:29 -07:00
onnxruntime_common.cmake merge master 2019-12-03 13:50:20 -08:00
onnxruntime_config.h.in Ignore some gcc warnings (#1996) 2019-10-07 16:32:34 -07:00
onnxruntime_csharp.cmake Renaming MKL-DNN as DNNL (#2515) 2019-12-03 07:34:23 -08:00
onnxruntime_dependencies.dot Initial bootstrap commit. 2018-11-19 16:48:22 -08:00
onnxruntime_framework.cmake Revert "Brianma/windowsai fi (#2475)" 2019-11-25 15:45:25 -08:00
onnxruntime_graph.cmake Windowsai without fi (#2701) 2019-12-19 12:56:49 -08:00
onnxruntime_java.cmake User/orilevari/windowsai master merge (#2674) 2019-12-17 12:23:40 -08:00
onnxruntime_language_interop_ops.cmake Replace GSL with GSL-LITE submodule and fix up refs (#1920) 2019-10-01 12:43:29 -07:00
onnxruntime_mlas.cmake Windowsai without fi (#2701) 2019-12-19 12:56:49 -08:00
onnxruntime_nuphar_extern.cmake Weba/merge ngemm (#2021) 2019-10-05 12:09:22 -07:00
onnxruntime_optimizer.cmake Cleanup some aspects of the Initializer class used by optimizers (#2005) 2019-10-09 10:37:44 +10:00
onnxruntime_providers.cmake Merge branch 'layer_dev' into windowsai 2019-12-06 16:23:05 -08:00
onnxruntime_pyop.cmake Update python packaging pipelines (#2167) 2019-10-19 07:42:54 -07:00
onnxruntime_python.cmake Windowsai without fi (#2701) 2019-12-19 12:56:49 -08:00
onnxruntime_server.cmake fix bug in cmake/onnxruntime_server.cmake 2019-10-28 10:03:18 -07:00
onnxruntime_session.cmake User/orilevari/windowsai master merge (#2674) 2019-12-17 12:23:40 -08:00
onnxruntime_unittests.cmake User/orilevari/windowsai master merge (#2674) 2019-12-17 12:23:40 -08:00
onnxruntime_util.cmake Replace GSL with GSL-LITE submodule and fix up refs (#1920) 2019-10-01 12:43:29 -07:00
precompiled_header.cmake Initial Commit 2019-11-07 11:51:44 -08:00
protobuf_function.cmake Use protobuf-lite to reduce onnxruntime.dll size. (#639) 2019-03-21 14:06:38 -07:00
wil.cmake Initial Commit 2019-11-07 11:51:44 -08:00
winml.cmake Brianma/cpu (#2583) 2019-12-07 08:59:42 -08:00
winml_cppwinrt.cmake Initial Commit 2019-11-07 11:51:44 -08:00
winml_sdk_helpers.cmake Initial Commit 2019-11-07 11:51:44 -08:00
winml_unittests.cmake Brianma/cpu (#2583) 2019-12-07 08:59:42 -08:00