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### Enable conditional optimization on inputs Label sparsity based optimization can be enabled depending on the input inspection result. So this PR introduce a conditional optimization path for ORTModule, where we automatically detect data sparsity from label or embedding, and enable the graph optimization accordingly without any user interaction. This feature had a new requirement of delaying passing pre_grad graph transformation config to OrtModuleGraphBuilder, from `Initialize` phase to its `Build` phase. Because once after `_initialize_graph_builder` we can detect the input sparsity, and make a decision to enable the label/embed sparisty based graph optimizations. Add UT cases for label/embed input runtime inspector. |
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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_trtion_kernel.md | ||
| ORTMobilePackageOperatorTypeSupport.md | ||
| ORTModule_Convergence_Notes.md | ||
| ORTModule_Training_Guidelines.md | ||
| PR_Guidelines.md | ||
| Privacy.md | ||
| Python_Dev_Notes.md | ||
| Reduced_Operator_Kernel_build.md | ||
| ReleaseManagement.md | ||
| Roadmap.md | ||
| Server.md | ||
| TVM_EP.md | ||
| Versioning.md | ||
| WinML_principles.md | ||
