onnxruntime/winml/lib/Api.Image
Sheil Kumar 84c1340f9b
Refactor implementation of Tensor<T> and underlying buffer stores to improve binary size and maintainability (#5836)
* refactor tensor buffers to make cleaner

* refactor to make tensor backing buffer implementation smaller and cleaner

* missed virtual on destructor

* remove unnecessary static_pointer_cast

* add string vector accessor

Co-authored-by: Sheil Kumar <sheilk@microsoft.com>
2020-11-18 14:56:47 -08:00
..
inc Refactor implementation of Tensor<T> and underlying buffer stores to improve binary size and maintainability (#5836) 2020-11-18 14:56:47 -08:00
shaders
ConverterResourceStore.cpp
CpuDetensorizer.h
CpuTensorizer.h
D3DDeviceCache.cpp
DeviceHelpers.cpp
DisjointBufferHelpers.cpp Refactor implementation of Tensor<T> and underlying buffer stores to improve binary size and maintainability (#5836) 2020-11-18 14:56:47 -08:00
EventTimer.h
ImageConversionHelpers.cpp
ImageConverter.cpp
NominalRangeConverter.cpp
pch.h
TensorToVideoFrameConverter.cpp Refactor implementation of Tensor<T> and underlying buffer stores to improve binary size and maintainability (#5836) 2020-11-18 14:56:47 -08:00
VideoFrameToTensorConverter.cpp Refactor implementation of Tensor<T> and underlying buffer stores to improve binary size and maintainability (#5836) 2020-11-18 14:56:47 -08:00