Add support tensor element type for register custom op shape infer function #21387
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@adrianlizarraga please take a look when you are available. Thanks. |
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Hi @adrianlizarraga , could you help to review this PR ， Thanks ~ |
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/azp run Windows ARM64 QNN CI Pipeline,Windows CPU CI Pipeline,Windows GPU CI Pipeline,Windows GPU TensorRT CI Pipeline,Windows x64 QNN CI Pipeline,onnxruntime-binary-size-checks-ci-pipeline,orttraining-linux-ci-pipeline,orttraining-linux-gpu-ci-pipeline,orttraining-ortmodule-distributed |
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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,Linux OpenVINO CI Pipeline,Linux QNN CI Pipeline,MacOS CI Pipeline |
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Azure Pipelines successfully started running 9 pipeline(s). |
HectorSVC
approved these changes
Jul 29, 2024
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Description
Functionality extension for the SetOutputShape method in custom op shape inference.
Motivation and Context
Actually, the shape infer function need set the tensor type and shape ， Add a parameter type to allow users to specify the tensor type, and set ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT as default value to ensure compatibility.