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Update supported ops md for NNAPI/CoreML EP #12245
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|ai.onnx:DequantizeLinear|All quantization scales and zero points should be constant.| | ||
|ai.onnx:Div|| | ||
|ai.onnx:Elu|| | ||
|ai.onnx:Exp|| | ||
|ai.onnx:Flatten|| | ||
|ai.onnx:Floor|| | ||
|ai.onnx:Gather|Input indices should be an initializer if not int32 type.| |
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|ai.onnx:Gather|Input indices should be an initializer if not int32 type.| | |
|ai.onnx:Gather|Input indices should be constant if not int32 type.| |
@@ -43,6 +47,7 @@ Keep in sync with doco generated from /docs/execution-providers/NNAPI-ExecutionP | |||
|ai.onnx:Sub|| | |||
|ai.onnx:Tanh|| | |||
|ai.onnx:Transpose|| | |||
|ai.onnx:Unsqueeze|| |
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axes must be constant
@@ -27,7 +29,9 @@ Keep in sync with doco generated from /docs/execution-providers/NNAPI-ExecutionP | |||
|ai.onnx:Min|| | |||
|ai.onnx:Mul|| | |||
|ai.onnx:Neg|| | |||
|ai.onnx:Pad|Only constant mode Pad is supported.| |
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also requires non-negative pad values and constant pad and constant_value
|ai.onnx:Gemm|Input B should be constant.| | ||
|ai.onnx:GlobalAveragePool|Only 2D Pool is supported.| | ||
|ai.onnx:GlobalMaxPool|Only 2D Pool is supported.| | ||
|ai.onnx:MatMul|Input B should be constant.| | ||
|ai.onnx:MaxPool|Only 2D Pool is supported.| | ||
|ai.onnx:PRelu|Input slope should be a constant initializer.<br/>Input slope should either have shape [C, 1, 1] or have 1 element.| |
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|ai.onnx:PRelu|Input slope should be a constant initializer.<br/>Input slope should either have shape [C, 1, 1] or have 1 element.| | |
|ai.onnx:PRelu|Input slope should be constant.<br/>Input slope should either have shape [C, 1, 1] or have 1 element.| |
thanks for updating these! |
thanks for the review. missed a couple points. updated now! |
* update supported ops md * address pr comments * address pr comments * wording
* update package version * Prevent unbounded growth of command allocator memory (#12114) Prevent unbounded growth of command allocator memory * Update supported ops md for NNAPI/CoreML EP (#12245) * update supported ops md * address pr comments * address pr comments * wording * Change native folder name for java macos arm64 (#12335) * Bump async from 2.6.3 to 2.6.4 in /js/react_native/e2e (#11280) Bumps [async](https://github.com/caolan/async) from 2.6.3 to 2.6.4. - [Release notes](https://github.com/caolan/async/releases) - [Changelog](https://github.com/caolan/async/blob/v2.6.4/CHANGELOG.md) - [Commits](caolan/async@v2.6.3...v2.6.4) --- updated-dependencies: - dependency-name: async dependency-type: indirect ... Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> * [js/rn] upgrade dependencies for e2e test (#11863) * [js/rn] upgrade dependencies for e2e test * use JDK11 only for gradle * expand variable * [js/rn] upgrade package react-native@^0.69.1 (#12155) * [js/rn] upgrade package react-native@^0.69.1 * upgrade compile sdk to v31 * update ios version requirement * update pod path for onnxruntime-react-native * add missing build_java in Android testing stage. (#12187) add missing build_java in testing * Use specific Android NDK version in CI builds. (#12350) Current builds use a NDK version that happens to be on the build machine. The build machine environment may change in ways that are outside of our control. This change installs a specific version of NDK (the current LTS version 25.0.8775105) and uses it. * Remove preview keyword from DirectML pacakge (#12368) Remove preview keyword Co-authored-by: Sumit Agarwal <sumitagarwal@microsoft.com> * Scope CreateFileMapping2 to valid API partitions (#12374) * Fix TRT custom op issue (#12283) * Pass schema registry on CreateModel. * Fix ORT_MINIMAL_BUILD. * Fix build issue. * Manually add optimization flag for Android Release builds. (#12390) With recent versions of NDK (since 23), the `-O` optimization level compile flag is not being passed when building in the "Release" configuration. More details here: android/ndk#1740 Our "Release" Android builds have been built without the optimization flag since we upgraded from NDK 21. This change is a workaround to manually add `-O3` for "Release" Android builds. * resolve conflicts in tensorRT related changes * Enable support of multi-level nested control flow ops model for TRT EP (#12147) * Make multiple-level nested control flow op model work * find correct input index * find correct input index (cont.) * enable nested layer unit tests for TRT EP * add comment * add Scan op to current workaround support of control flow op Co-authored-by: Jeff Bloomfield <38966965+jeffbloo@users.noreply.github.com> Co-authored-by: Rachel Guo <35738743+YUNQIUGUO@users.noreply.github.com> Co-authored-by: Changming Sun <chasun@microsoft.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Yulong Wang <7679871+fs-eire@users.noreply.github.com> Co-authored-by: Yi Zhang <zhanyi@microsoft.com> Co-authored-by: Edward Chen <18449977+edgchen1@users.noreply.github.com> Co-authored-by: sumitsays <sumitagarwal330@gmail.com> Co-authored-by: Sumit Agarwal <sumitagarwal@microsoft.com> Co-authored-by: Justin Stoecker <justoeck@microsoft.com> Co-authored-by: Yateng Hong <yatengh@microsoft.com> Co-authored-by: Chi Lo <54722500+chilo-ms@users.noreply.github.com>
Description: Describe your changes.
As title.
Motivation and Context
Update documentation based on newly added operator support.