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rfcs/20200511-tensorflow-on-directml.md

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| Status | Proposed |
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:-------------- |:---------------------------------------------------- |
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| **Author(s)** | Chai Chaoweeraprasit ([email protected]), Justin Stoecker ([email protected]), Adrian Tsai ([email protected]), Patrice Vignola ([email protected]) |
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| **Sponsor** | \[interim\] Alexandre Passos (apassos@google.com) |
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| **Updated** | 2020-05-13 |
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| **Sponsor** | Penporn Koanantakool (penporn@google.com) |
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| **Updated** | 2022-03-04 |
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## Objective
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Implement a new TensorFlow device type and a new set of kernels based on [DirectML](https://docs.microsoft.com/en-us/windows/win32/direct3d12/dml-intro), a hardware-accelerated machine learning library on the DirectX 12 Compute platform. This change broadens the reach of TensorFlow beyond its existing GPU footprint and enables high-performance training and inferencing on Windows devices with any DirectX12-capable GPU.

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