hi,
I am currently running LSTM on TensorFlow. However, when i switched from keras2 to keras3. code running time has increased 10 times -- it seems there is no GPU acceleration.
Here is my code:
batch size = 256
optimiser = adam
activation = tanh
_______________________________________________
Layer (type) Output Shape Param #
=============================================
input_1 (InputLayer) [(None, 7, 16)] 0
bidirectional (Bidirection (None, 7, 320) 226560
al)
bidirectional_1 (Bidirecti (None, 7, 512) 1181696
onal)
bidirectional_2 (Bidirecti (None, 256) 656384
onal)
dense (Dense) (None, 1) 257
==============================================
Total params: 2064897 (7.88 MB)
Trainable params: 2064897 (7.88 MB)
Non-trainable params: 0 (0.00 Byte)
______________________________________________
This is keras 3.6.0 + tensorflow 2.17.0 + tensorflow-metal 1.1.0 training status:
Training------------
Epoch 1/200
28/681 ━━━━━━━━━━━━━━━━━━━━ 8:13 756ms/step - loss: 0.5901 - mape: 338.6876 - mse: 0.8591
This is keras 2.14.0 + tensorflow 2.14.0 + tensorflow-metal 1.1.0 training status:
Training------------
Epoch 1/200
681/681 [==============================] - 37s 49ms/step - loss: 3.6345 - mape: 499038.7500 - mse: 34.4148 - val_loss: 3.5452 - val_mape: 41.7964 - val_mse: 32.0133 - lr: 0.0010
Is that because keras3 has no GPU support on macos?
Apart from that, if I change LSTM activation from tanh to sigmoid in keras2, it does not have GPU support as well.
My system is 15.0.1 and the code was running on python3.11
I am not sure why these happen.
Thanks