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Allow arenaExtendStrategy and gpuMemLimit for CUDA EP.
Motivation and Context
"arenaExtendStrategy" is required when pushing the model or batch size to the limit of GPU memory.
"gpuMemLimit" provides more control over the GPU memory when multiple Inference Sessions are loaded at the same time.
/azp run Windows ARM64 QNN CI Pipeline,Windows x64 QNN CI Pipeline,Windows CPU CI Pipeline,Windows GPU CUDA CI Pipeline,Windows GPU DML CI Pipeline,Windows GPU Doc Gen CI Pipeline,Windows GPU TensorRT CI Pipeline,ONNX Runtime Web CI Pipeline,Linux CPU CI Pipeline,Linux CPU Minimal Build E2E CI Pipeline
/azp run Linux GPU CI Pipeline,Linux GPU TensorRT CI Pipeline,Linux OpenVINO CI Pipeline,Linux QNN CI Pipeline,MacOS CI Pipeline,orttraining-linux-ci-pipeline,orttraining-linux-gpu-ci-pipeline,onnxruntime-binary-size-checks-ci-pipeline,Big Models,Linux Android Emulator QNN CI Pipeline
/azp run Android CI Pipeline,iOS CI Pipeline,ONNX Runtime React Native CI Pipeline,CoreML CI Pipeline,Linux DNNL CI Pipeline,Linux MIGraphX CI Pipeline,Linux ROCm CI Pipeline
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Description
Allow arenaExtendStrategy and gpuMemLimit for CUDA EP.
Motivation and Context
"arenaExtendStrategy" is required when pushing the model or batch size to the limit of GPU memory.
"gpuMemLimit" provides more control over the GPU memory when multiple Inference Sessions are loaded at the same time.