Yes !
My setup :
Mac mini 8,3 + 5700XT + AKITIO Node eGPU Box
TensorFlow Metal 2.6
Milanroy
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Work fine for me, with with this function "layers.experimental.preprocessing":
tf.device('/cpu:0'):
data_augmentation = keras.Sequential(
[
layers.experimental.preprocessing.RandomFlip("horizontal"),
layers.experimental.preprocessing.RandomRotation(0.05),
]
)
For Tensorflow-metal > 1.0.0 Mac intel are not supported !
According to this table you must install Tensorflow==2.1.3
tensorflow tensorflow-metal MacOs features
v2.5 v0.1.2 12.0+ Pluggable device
v2.6 v0.2.0 12.0+ Variable seq. length RNN
v2.7 v0.3.0 12.0+ Custom op support
v2.8 v0.4.0 12.0+ RNN perf. improvements
v2.9 v0.5.0 12.1+ Distributed training
v2.10 v0.6.0 12.1+
v2.11 v0.7.0 12.1+
v2.12 v0.8.0 12.1+
v2.13 v1.0.0 12.1+ FP16 and BF16 support
v2.14 v1.1.0 12.1+ Mac Silicon only