Open prashantspandey opened 1 year ago
I solved it by using the appropriate versions of tensorflow-macos==2.8.0 , tensorflow-metal==0.5.0 and numpy== 1.23. Now at-least the training starts but , loss doesn't go down. It just randomly calculates . Even in the preview, columns 2,4,5 which contain the learned outputs don't show up.
So definitely something wrong with the model as even on CPU the same problem of loss not going down persists.
Choose one or several GPU idxs (separated by comma).
[CPU] : CPU [0] : METAL
[0] Which GPU indexes to choose? : 0
Metal device set to: Apple M2 Pro
systemMemory: 16.00 GB maxCacheSize: 5.33 GB
18 devices <core.leras.device.Devices object at 0x120f93dc0> GPU COUNT 1 gpu id 0 devices /CPU:0 Initializing models: 0%| | 0/5 [00:00<?, ?it/s]
It shows that tf.reduce_mean is the problem , what can i do to solve his problem.
Pleasehelp