Vega 8 ：DirectML device enumeration: found 0 compatible adapters.

I do the same as https://docs.microsoft.com/zh-cn/windows/win32/direct3d12/gpu-tensorflow-wsl, and I have a GPU : Vega 8. But it reported:

Python 3.6.12 |Anaconda, Inc.| (default, Sep  8 2020, 23:10:56)
[GCC 7.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow.compat.v1 as tf
>>> tf.enable_eager_execution(tf.ConfigProto(log_device_placement=True))
>>> print(tf.add([1.0, 2.0], [3.0, 4.0]))
2020-11-02 21:19:05.139698: I tensorflow/core/common_runtime/dml/dml_device_factory.cc:132] DirectML device enumeration: found 0 compatible adapters.
2020-11-02 21:19:05.141140: I tensorflow/core/common_runtime/eager/execute.cc:571] Executing op Add in device /job:localhost/replica:0/task:0/device:CPU:0
tf.Tensor([4. 6.], shape=(2,), dtype=float32)

Thank you in advance ! If other information I should submit, please let me know !

[PatriceVignola]

This is because there’s a bug with numpy 1.19.4 on Windows. If you manually install numpy 1.19.3 (pip install numpy==1.19.3), you should be able to try and repro the adapter issue on Windows.

[PatriceVignola]

Thank you. We’ll investigate this issue and come back to you!