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* Fix PR #5550 reverted in #5911 (performance improvment for operator Transpose) (#5916) * Improves implementation of transpose operator * Fix issue mentioned in #5911 * adding unit test for function DoTransposeImpl * Make operator TreeEnsemble 5x faster for batches of size 100.000 (#5965) * improves processing time by 10 * extend coverage unit test coverage * better implementation for the multi regression case * better comment, keep parallelization by trees when not enough trees * Initialize a structure in operator ReduceSum (#6005) * fix initialisation issue * Fuse MatMulIntegerToFloat only when scales are scalar (#6008) MatMulIntegerToFloat fusion fuses per-row and per-column MatMulInteger, which is not supported by the MatMulIntegerToFloat kernel now. Limit the fusion to per-matrix only before we supporting the per-channel fully. * Disable Python 3.9 for training Python packaging build. (#6012) Disable Python 3.9 for training Python packaging build. Python 3.9 is not supported by the PyTorch dependency. * Fix bugs for 1: Calibrator should check model inputs; 2: (#6017) quantize_inupts forgot to use parameter initializer_use_weight_qtyp. * Bump highlight.js from 10.2.1 to 10.4.1 in /nodejs Bumps [highlight.js](https://github.com/highlightjs/highlight.js) from 10.2.1 to 10.4.1. - [Release notes](https://github.com/highlightjs/highlight.js/releases) - [Changelog](https://github.com/highlightjs/highlight.js/blob/master/CHANGES.md) - [Commits](https://github.com/highlightjs/highlight.js/compare/10.2.1...10.4.1) Signed-off-by: dependabot[bot] <support@github.com> * work around of the build break in mac (#6069) * Fix the build break in macos release * revert android change * Bump up API version for 1.6 release (#6076) * Update version to 1.6.0 (#6041) * Update version to 1.6.0 * Add v 1.5.3 info * Updating WindowsAI and ONNX version Co-authored-by: Du Li <duli@OrtTrainingDev0.af05slrtruoetgaxwwjv5nsq5e.px.internal.cloudapp.net> * Rsevert "Fuse MatMulIntegerToFloat only when scales are scalar (#6008)" This reverts commit beb950eb66308eeaa8c60e4db9a006948e2ba7bb. Co-authored-by: Xavier Dupré <xadupre@users.noreply.github.com> Co-authored-by: Yufeng Li <liyufeng1987@gmail.com> Co-authored-by: Edward Chen <18449977+edgchen1@users.noreply.github.com> Co-authored-by: Zhang Lei <zhang.huanning@hotmail.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Pranav Sharma <prs@microsoft.com> Co-authored-by: Du Li <duli@OrtTrainingDev0.af05slrtruoetgaxwwjv5nsq5e.px.internal.cloudapp.net> |
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| .. | ||
| execution_providers | ||
| images | ||
| python | ||
| ABI_Dev_Notes.md | ||
| AddingCustomOp.md | ||
| AddingExecutionProvider.md | ||
| Android_testing.md | ||
| C_API.md | ||
| C_API_Guidelines.md | ||
| cmake_guideline.md | ||
| Coding_Conventions_and_Standards.md | ||
| ContribOperators.md | ||
| CSharp_API.md | ||
| ExportPyTorchCustomOps.md | ||
| FAQ.md | ||
| How_To_Update_ONNX_Dev_Notes.md | ||
| InferenceHighLevelDesign.md | ||
| Java_API.md | ||
| Model_Test.md | ||
| NotesOnThreading.md | ||
| ONNX_Runtime_for_Mobile_Platforms.md | ||
| ONNX_Runtime_Graph_Optimizations.md | ||
| ONNX_Runtime_Perf_Tuning.md | ||
| ONNX_Runtime_Server_Usage.md | ||
| onnxruntime_dependencies.dot | ||
| onnxruntime_dependencies.png | ||
| OperatorKernels.md | ||
| PR_Guidelines.md | ||
| Privacy.md | ||
| PyOp.md | ||
| Python_Dev_Notes.md | ||
| Reduced_Operator_Kernel_build.md | ||
| ReleaseManagement.md | ||
| Roadmap.md | ||
| Server.md | ||
| Versioning.md | ||
| WinML_principles.md | ||
| WinRT_API.md | ||