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Add new kernels #23220
Add new kernels #23220
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/azp run Big Models, Linux Android Emulator QNN CI Pipeline, Linux CPU CI Pipeline, Linux CPU Minimal Build E2E CI Pipeline, Linux GPU CI Pipeline, Linux GPU TensorRT CI Pipeline |
/azp run Linux OpenVINO CI Pipeline, Linux QNN CI Pipeline, MacOS CI Pipeline, ONNX Runtime Web CI Pipeline, Windows ARM64 QNN CI Pipeline, Windows CPU CI Pipeline, Windows GPU CUDA CI Pipeline |
/azp run Windows GPU DML CI Pipeline, Windows GPU Doc Gen CI Pipeline, Windows GPU TensorRT CI Pipeline, Windows x64 QNN CI Pipeline, onnxruntime-binary-size-checks-ci-pipeline |
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You may need to disable the tests for TensorRT EP and DNNL EP. |
Could you please resolve the conflicts? |
/azp run Big Models, Linux Android Emulator QNN CI Pipeline, Linux CPU CI Pipeline, Linux CPU Minimal Build E2E CI Pipeline, Linux GPU CI Pipeline, Linux GPU TensorRT CI Pipeline |
/azp run Linux OpenVINO CI Pipeline, Linux QNN CI Pipeline, MacOS CI Pipeline, ONNX Runtime Web CI Pipeline, Win_TRT_Minimal_CUDA_Test_CI, Windows ARM64 QNN CI Pipeline, Windows CPU CI Pipeline |
/azp run Windows GPU CUDA CI Pipeline, Windows GPU DML CI Pipeline, Windows GPU Doc Gen CI Pipeline, Windows GPU TensorRT CI Pipeline, Windows x64 QNN CI Pipeline, onnxruntime-binary-size-checks-ci-pipeline, |
Azure Pipelines successfully started running 6 pipeline(s). |
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Azure Pipelines successfully started running 6 pipeline(s). |
Azure Pipelines successfully started running 7 pipeline(s). |
/azp run Big Models, Linux Android Emulator QNN CI Pipeline, Linux CPU CI Pipeline, Linux CPU Minimal Build E2E CI Pipeline, Linux GPU CI Pipeline, Linux GPU TensorRT CI Pipeline |
/azp run Linux OpenVINO CI Pipeline, Linux QNN CI Pipeline, MacOS CI Pipeline, ONNX Runtime Web CI Pipeline, Win_TRT_Minimal_CUDA_Test_CI, Windows ARM64 QNN CI Pipeline, Windows CPU CI Pipeline |
/azp run Windows GPU CUDA CI Pipeline, Windows GPU DML CI Pipeline, Windows GPU Doc Gen CI Pipeline, Windows GPU TensorRT CI Pipeline, Windows x64 QNN CI Pipeline, onnxruntime-binary-size-checks-ci-pipeline, |
Azure Pipelines successfully started running 6 pipeline(s). |
1 similar comment
Azure Pipelines successfully started running 6 pipeline(s). |
Azure Pipelines successfully started running 7 pipeline(s). |
Thank you! |
### Description This PR adds tests for `int8_t`, `int16_t`, and unsigned int inputs for `Mul`, `Div`, `Add`, `Sub`, `Greater`, `Less`, `Equal`, `LessOrEqual`, and `GreaterOrEqual`. ### Motivation and Context This was suggested in a [PR](microsoft/onnxruntime#23220) in the `onnxruntime`. It will additionally improve the test coverage for varying data types. --------- Signed-off-by: Bilyana Indzheva <[email protected]> Co-authored-by: Andreas Fehlner <[email protected]> Co-authored-by: Justin Chu <[email protected]>
### Description This PR adds the kernels for `int8_t`, `int16_t`, and unsigned int inputs for `Mul`, `Div`, `Add`, `Sub`, `Greater`, `Less`, `Equal`, `LessOrEqual`, and `GreaterOrEqual`. The new kernels have been added for all versions of these operators that are supported by the `ONNX` standard. ### Motivation and Context Similarly to #15358, this change eliminates the need for intermediate type casting for these data types.
### Description This PR adds the kernels for `int8_t`, `int16_t`, and unsigned int inputs for `Mul`, `Div`, `Add`, `Sub`, `Greater`, `Less`, `Equal`, `LessOrEqual`, and `GreaterOrEqual`. The new kernels have been added for all versions of these operators that are supported by the `ONNX` standard. ### Motivation and Context Similarly to #15358, this change eliminates the need for intermediate type casting for these data types.
Description
This PR adds the kernels for
int8_t
,int16_t
, and unsigned int inputs forMul
,Div
,Add
,Sub
,Greater
,Less
,Equal
,LessOrEqual
, andGreaterOrEqual
. The new kernels have been added for all versions of these operators that are supported by theONNX
standard.Motivation and Context
Similarly to #15358, this change eliminates the need for intermediate type casting for these data types.