WinMLRunner v1.2.1.1
New Features:
-
-Tensor [function] : load the input as a tensor, with optional function for input preprocessing
- Optional function arguments:
- Identity(default) : No input transformations will be performed
- Normalize : float scale factor and comma separated per channel means and stddev for normalization.
- Optional function arguments:
-
Example Usage:
-
WinMLRunner.exe -model ./densenet121.onnx -Tensor Normalize 255 0.485,0.456,0.406 0.229,0.224,0.225 -CPU -SaveTensorData First -PerIterationPath <tensorDataPath>