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### Enhance StatisticsSubscriber There are few improvements for `StatisticsSubscriber`: - Reduce peak memory impact for tensors (having many many many elements, consuming too much GPU memory, causing original recipe run failed with OOM), by split the statistics into two phases (split into buckets, and merge result across buckets). - Allow dump intermediate tensors. Originally only nn.Module forward()'s return value are dumped, there are requirements we want to inspect some specific intermediate tensor in the forward() function, now we support it. - Add documents for collecting dumps on multiple ranks Docs link on this branch for better view: https://github.com/microsoft/onnxruntime/blob/pengwa/conv_tool_v2/docs/ORTModule_Convergence_Notes.md --------- Co-authored-by: mindest <30493312+mindest@users.noreply.github.com> |
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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 | ||
