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BaseOutputPath : base output directory path for results, default to cwd InputImageFolder : specify folder of images to bind to model' : print top values in the result. Iterations : # times perf measurements will be run/averaged. Specifying 'all' will output all measurements Perf : capture performance measurements such as timing and memory usage. Normalize : float scale factor and comma separated per channel means and stddev for normalization. Identity(default) : No input transformations will be performed. Tensor : load the input as a tensor, with optional function for input preprocessing GPUBoundInput : bind the input to the GPU CPUBoundInput : bind the input to the CPU CreateDeviceInWinML : create the device inside WinML

CreateDeviceOnClient : create the D3D device on the client and pass it to WinML to create session You will need to retarget the solution to at least windows insider build 18936 NOTE: Please only use this flag on DXCore supported machines. GPUAdapterName : run model on GPU specified by its name. GPUMinPower : run model on GPU with the least power GPUHighPerformance : run model on GPU with highest performance version: prints the version information for this build of WinMLRunner.exe pb models, will run all of the models in the folder.

folder : Fully qualifed path to a folder with.

WINRUNNER DOWNLOAD ARCHIVE

You must unzip the entire archive if you intend to build the samples.

WINRUNNER DOWNLOAD ZIP FILE

Reminder: If you unzip individual samples, they will not build due to references to other portions of the ZIP file that were not unzipped. In Visual Studio 2017, the platform target defaults to ARM, so be sure to change that to ењ†4 or x86 if you want to test on a non-ARM device. The samples all depend on the SharedContent folder in the archive. Notes: Before you unzip the archive, right-click it, select Properties, and then select Unblock.Д«e sure to unzip the entire archive, and not just individual samples. You can then unzip the entire archive and use the samples in Visual Studio 2017.

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The easiest way to use these samples without using Git is to download the zip file containing the current version (using the following link or by clicking the 'Download ZIP' button on the repo page).

Visual Studio 2019 Version 16.9 or Newer.

DownloadДownload ењ†4 and x86 Exe Build Prerequisites You can either download the ењ†4 executable or build it yourself. If using the performance flag, the GPU, CPU and wall-clock times for loading, binding, and evaluating and the CPU and GPU memory usage during evaluation will print to the command line and to a CSV file. It will also capture performance measurements on the GPU and/or CPU. It will attempt to load, bind, and evaluate a model and output error messages if these steps were unsuccessful. pb models where the input and output variables are tensors or images. The WinMLRunner is a command-line based tool that can run.

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