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This documentation adds documentation on: - how to allocate CUDA device tensors from C++ and python - how to use DML device tensors from C++ and python - it also shows how to leverage existing GPU allocations in ORT - how to overlap PCI copies and GPU execution using CUDA streams - how to overlap PCI copies and GPU execution using D3D12 Command Lists and custom resources --------- Co-authored-by: Tianlei Wu <tlwu@microsoft.com> |
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| .. | ||
| community-maintained | ||
| add-execution-provider.md | ||
| Azure-ExecutionProvider.md | ||
| CoreML-ExecutionProvider.md | ||
| CUDA-ExecutionProvider.md | ||
| DirectML-ExecutionProvider.md | ||
| index.md | ||
| MIGraphX-ExecutionProvider.md | ||
| NNAPI-ExecutionProvider.md | ||
| oneDNN-ExecutionProvider.md | ||
| OpenVINO-ExecutionProvider.md | ||
| QNN-ExecutionProvider.md | ||
| ROCm-ExecutionProvider.md | ||
| TensorRT-ExecutionProvider.md | ||
| Vitis-AI-ExecutionProvider.md | ||
| Xnnpack-ExecutionProvider.md | ||