Apple M1 support for TensorFlow 2.5 pluggable device API
M1 and AMD GPU support. I'm personally more interested in the latter as I haven't yet upgraded my MacBook Pro and I expect that my Vega 20 to be faster than M1 at ML training.The raw compute power of M1's GPU seems to be 2.6 TFLOPS (single precision) vs 3.2 TFLOPS for Vega 20. This can give you an estimate of how fast it would be for training.Just for reference Nvidia's flagship desktop GPU(3090)'s FP32 performance is 35.5 TFLOPS.