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WinMLRunner v1.2.0.0
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@ryanlai2 ryanlai2 released this 25 Apr 21:53
· 1133 commits to master since this release
1.2
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New Features!

  • DxCore support to select compute device. Use the functionality with :
    • -GPUAdapterName : run model on GPU specified by its name. NOTE: Please only use this flag on DXCore supported machines.
  • Models with Image Denotation as Input are now supported
  • Tensors can now be bound backed by GPU memory.
  • Performance File metadata can be added with: AddPerformanceFileMetadata(const std::string& key, const std::string& value). This is only exposed when WinMLRunner is consumed as a static library.

Bug Fixes:

  • Maximum -iterations now bumped up to 1024 iterations.
  • Outputting performance files now has more robust way to specify destination.
    • -BaseOutputPath [<fully qualified path>] : base output directory path for results, default to cwd
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