Implement DepthToSpace uint8_t and Enable DropQDQNodesRules #23352
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- Implemented the DepthToSpace uint8_t kernel. - Enabled DropQDQNodesRules for DepthToSpace. - Added unit tests for the DepthToSpace uint8_t kernel.
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- onnxruntime/core/optimizer/qdq_transformer/selectors_actions/qdq_selector_action_transformer.cc: Language not supported
- onnxruntime/core/providers/cpu/tensor/space_depth_ops.cc: Language not supported
- onnxruntime/test/providers/cpu/tensor/space_depth_ops_test.cc: Language not supported
- onnxruntime/test/providers/provider_test_utils.h: Language not supported
jchen351
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Jan 15, 2025
carzh
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Jan 16, 2025
### 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.
guschmue
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Mar 6, 2025
### 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.
ashrit-ms
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Mar 17, 2025
### 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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Description
Motivation and Context
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.