1. Move non_max_suppression_test.cc to object_detection folder
2. Move Class CudnnDropout to cudnn_common.h so that can share it with other ops. Move the cuda memory allocation part out of CudnnDropout to avoid memory leak.
Description: Describe your changes.
Add no scale check for resize and upsample
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.
* Update DNNLibrary
* Allow fp16 by default
* Add nnapi build in ci
* Fix nnapi ep after #1268
* Remove unused variables
* Support nnapi in onnx_test_runner
* Update DNNLibrary to fix tests
* Update build.py for android build support, solve conflict of
tools/ci_build/build.py
* Support non-ARM Android build, solve conflict of tools/ci_build/build.py
* Enable android test by x86_64 android emulator
* Add dnnlibrary/NNAPI support in build.py
* suppress the verbose adb output
* Remove debug logs
* Install cmake by pip
* Fix undefined host_protoc_path
* cmake==3.13.2 in pypi is actually 3.12.2, so install 3.13.2.post1 instead
* Fix Android ARM64 build
* Use android ndk r20 instead of r19c, fix conflicts in install_deps_android.sh
Description: Describe your changes.
Optimize the resize and upsample operators
Motivation and Context
Why is this change required? What problem does it solve?
For case with input with shape [1,128, 267, 200] and scales [1, 1, 1.97, 2], Resize and upsample get 15x gain (w/o: 1020ms, w: 71ms on my local box). It should benefit other scenarios at similar level.
If it fixes an open issue, please link to the issue here.
* 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
* Remove invalid dim_param and dim_value values when creating a NodeArg.
* Allow re-use of a large enough buffer if there's a shape mismatch.
* Update handling in python to treat unset dimension the same as a dim_param (equivalent to None).
* Fix GetTensorShapeFromTensorShapeProto to handle neither dim_param and dim_value being set.
* Initial commit
* More ops
* fix missing declarations for ReduceSum and ReduceSumSquare
* Add tests for new ops supporting double
* isable Add_dobule for OpenVINO EP
The NCHWc transform was missing support for the Sum_6 operator from ONNX 1.2. Older models would add unnecessary reorder ops and also would not use the Conv/Add fusion.
* Add string attribute interface for C API.
* Add string attribute interface for C++ API accordingly.
* Update comment to say that string is also valid
