Hello,
Based on my observations, tensor flow-metal slows the processing instead of speeding it up on a M1 Pro MacBook.
Easy to explain as the GPU's are not optimised for Neural operations and the "normal" processor has two optimised cores for ML.
Log from simple program in python:
WITH tensor flow-metal plugin
Epoch 16/20
1875/1875 [==============================] - 8s 4ms/step - loss: 0.0844 - accuracy: 0.9747
Epoch 17/20
1875/1875 [==============================] - 8s 4ms/step - loss: 0.0818 - accuracy: 0.9756
Epoch 18/20
1875/1875 [==============================] - 8s 4ms/step - loss: 0.0794 - accuracy: 0.9759
(tinyML-env) remco@Remcos-MBP tinyML % pip uninstall tensorflow-metal
Found existing installation: tensorflow-metal 0.4.0
So without:
Epoch 16/20
1875/1875 [==============================] - 1s 731us/step - loss: 0.0880 - accuracy: 0.9727
Epoch 17/20
1875/1875 [==============================] - 1s 736us/step - loss: 0.0845 - accuracy: 0.9742
Epoch 18/20
1875/1875 [==============================] - 1s 733us/step - loss: 0.0821 - accuracy: 0.9747
Epoch 19/20
1875/1875 [==============================] - 1s 727us/step - loss: 0.0807 - accuracy: 0.9750
Maybe you can try this to.
RemcoVS
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Ermelo, Netherlands