Extend opset 13 support for:
- Split-13
- Squeeze-13
- Unsqueeze-13
- Reshape-13
- QuantizeLinear-13
- DequantizeLinear-13
- ReduceSum-13
- Resize-13
Also:
- Rename the file where all the opset versions are stored from "OperatorRegistration.h" to "OperatorVersions.h", which will make it much less confusing in the future when looking given there's another file called "OperatorRegistration.h" that corresponds to "OperatorRegistration.cpp".
- Detemplatize many of the OperatorHelper.h constructors, which duplicate multiple instantiations due to the operator helper classes not sharing a common base class, by wrapping them with an adapter. Ideally there would be a common COM base interface that both IMLOperatorKernelCreationContext and IMLOperatorShapeInferenceContext implementation objects would implement, which a wrapper in MLOperatorAuthorHelper.h could QI for.
- Fix style formatting issues in OperatorHelper.h (sorry for the noise).
```
Summary: Total=4679, Passed=4355, Failed=0, Blocked=0, Not Run=0, Skipped=324
```
Corresponding WindowsAI PR:
https://microsoft.visualstudio.com/WindowsAI/_git/WindowsAI/pullrequest/6973645
Related work items: #36672908, #36672926
Adding S8S8 kernels for symmetric quantized indirect conv and depthwise conv.
Perf number with single thread:
Nokia G10 (baseline / new) in ms Pixel 4 (baseline/new) in ms
mobilenet_edgetpu 220 / 213 18.5 / 17.6
cartoongan 8537 / 8521 967 / 928
Co-authored-by: Chen Fu <fuchen@microsoft.com>
* If the tensor is of gray8 format, we should call the gray8 shader
* other check (which resolves to unknown in this case) is incorrectly being compared to constant and not DXGI_FORMAT
Co-authored-by: Sheil Kumar <sheilk@microsoft.com>
Add abseil cgmanifest declaration. Update coding standards for InlinedContainers
Adjust coding guidelines. Add default N calculation for InlinedVector<T, N> for general use.
Rename T from InlinedShapeVectorT. Fix Eager build
Add LLVM Copyright with modified derived code notice.
* add clear test name for model tests
* handle remove character
* modify for test
* Modify for correct test name
* Remove test code
* add comments
* make it only on Linux
* change function name
* Convert from wchar_t to char
* Export numpy_T as onnx transpose
* further fixes, test
Co-authored-by: Aishwarya Bhandare <aibhanda@microsoft.com@orttrainingdev8.d32nl1ml4oruzj4qz3bqlggovf.px.internal.cloudapp.net>
* add qdqgroup as input for NodeUnit
* minor update
* hookup nnapi_ep
* minor update
* update compiler setting
* Add a simple UT
* Pipeline change to add build minimal extended with NNAPI for Android
* move GetAllNodeUnits to node_unit.h, add UT for NodeUnits, minor updates
* minor updates
* address CR comments
Co-authored-by: gwang0000 <62914304+gwang0000@users.noreply.github.com>
* improved usability of TVM EP
* moved technical import under a condition related to TVM EP only
* Revert "moved technical import under a condition related to TVM EP only"
* add conditional _ld_preload.py file extension for TVM EP
* improve readability of inserted code
Adding code for symmetric quantized matrix multiplication. Used in quantized convolution, achieving significant perf gain.
TODO, use Symmetric Quantized GEMM in other operators!
TODO address activation buffer overread in custom allocators and tensors supplied by users.
DOT kernel perf test:
Pixel 5a:
Cartoongan 513.539 ms 471.786 ms
Efficient 57.5169 ms 56.4174 ms
Edgetpu 14.6673 ms 13.5959 ms
NEON kernel perf test
Pixel 3a
Cartoongan 1423.53 ms 1069.92 ms
Efficient 114.086 ms 107.968 ms
Edgetpu 39.2632 ms 36.9839 ms
Co-authored-by: Chen Fu <fuchen@microsoft.com>
Add abseil and inlined containers typedefs
Introduce TensorShapeVector for shape building.
Use gsl::span<const T> to make interfaces accept different types of vector like args.
Introduce InineShapeVectorT for shape capacity typed instantiations
Refactor cuda slice along with provider shared interfaces
Refactor Concat, Conv, Pad
Build with Conv Einsum and ConvTranspose refactored.
Remove TesnorShape::GetDimsAsVector()
Refactor SliceIterator and SliceIteratorBase
Refactor broadcast
Refactor Pads for twice as long
Remove memory planner intermediate shapes vector
Refactor orttraining
Fix passing TenshroShapeVector to tests
Remove abseil copy and submodule, use FetchContent_Declare/Fetch
Path with separate command
Make RocmAsyncBuffer accept anything convertible to span. Adjust Linux GPU pipeline.
* add back previous changes lost in merge
* post session to dashboard
* post session creation time to dashboard
* fix trt 8 functionality:
* add component governance
* Remove hardcoded values
* Update linux-gpu-tensorrt-daily-perf-pipeline.yml for Azure Pipelines
* cleanup errors
* post results only once
* checkout 8.0 GA
* try build 8.0 without building shared lib
* add back build_shared_lib, not the problem
* add upload_time to table
* use identifier to post
* Shorten to TRT x.x
* shorten commit hash using rev_parse
* use shortened commit hash
* use nvidia's default TRT_VERSION
