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https://github.com/saymrwulf/onnxruntime.git
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### Description <!-- Describe your changes. --> - Implemented the DepthToSpace uint8_t kernel. - Enabled DropQDQNodesRules for DepthToSpace. - Added unit tests for the DepthToSpace uint8_t kernel. ### Motivation and Context <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. --> This commit aims to enhance the performance of the Image Super-Resolution INT8 Model (RFDN). Specifically, it improves the Inference Per Second (IPS) by 25%, providing a significant boost in efficiency and speed. |
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| .. | ||
| c_cxx | ||
| execution_providers/images | ||
| images | ||
| python | ||
| ABI_Dev_Notes.md | ||
| Android_testing.md | ||
| C_API_Guidelines.md | ||
| cmake_guideline.md | ||
| Coding_Conventions_and_Standards.md | ||
| ContribOperators.md | ||
| FAQ.md | ||
| How_To_Update_ONNX_Dev_Notes.md | ||
| Memory_Optimizer.md | ||
| Model_Test.md | ||
| NotesOnThreading.md | ||
| ONNX_Runtime_Server_Usage.md | ||
| onnxruntime_dependencies.dot | ||
| onnxruntime_dependencies.png | ||
| onnxruntime_extensions.md | ||
| OperatorKernels.md | ||
| ORT_Format_Update_in_1.13.md | ||
| ORT_Use_Triton_Kernel.md | ||
| ORTModule_Convergence_Notes.md | ||
| ORTModule_ModuleWithLoss_Wrapper.md | ||
| ORTModule_PythonOp_Notes.md | ||
| ORTModule_Training_Guidelines.md | ||
| PR_Guidelines.md | ||
| Privacy.md | ||
| Reduced_Operator_Kernel_build.md | ||
| ReleaseManagement.md | ||
| Roadmap.md | ||
| Server.md | ||
| Versioning.md | ||
| WinML_principles.md | ||
