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Hey Guys,
I followed the instructions here (https://learn.microsoft.com/en-us/windows/ai/directml/gpu-tensorflow-windows) and just wanted to know, if the message about AVX2 matters or I can ignore it.
>>> 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]))2023-06-16 14:09:07.475762: I tensorflow/stream_executor/platform/default/dso_loader.cc:97] Successfully opened dynamic library C:\Users\petros\anaconda3\envs\tf1.15_directml\lib\site-packages\tensorflow_core\python/directml.d6f03b303ac3c4f2eeb8ca631688c9757b361310.dll
2023-06-16 14:09:07.477241: I tensorflow/stream_executor/platform/default/dso_loader.cc:97] Successfully opened dynamic library dxgi.dll
2023-06-16 14:09:07.488781: I tensorflow/stream_executor/platform/default/dso_loader.cc:97] Successfully opened dynamic library d3d12.dll
2023-06-16 14:09:07.901912: I tensorflow/core/common_runtime/dml/dml_device_cache.cc:250] DirectML device enumeration: found 1 compatible adapters.
2023-06-16 14:09:07.903048: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2
2023-06-16 14:09:07.905833: I tensorflow/core/common_runtime/dml/dml_device_cache.cc:186] DirectML: creating device on adapter 0 (Intel(R) HD Graphics 520)
2023-06-16 14:09:07.944427: I tensorflow/stream_executor/platform/default/dso_loader.cc:97] Successfully opened dynamic library Kernel32.dll
2023-06-16 14:09:07.950129: I tensorflow/core/common_runtime/eager/execute.cc:571] Executing op Add in device /job:localhost/replica:0/task:0/device:DML:0
tf.Tensor([4. 6.], shape=(2,), dtype=float32)
Thanks in advance
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