I intended to speedup the training process. now what is this (got during training with workers=8, use_multiprocessing=True)? STRANGE!!!! Never got it with my MBP-13 (2017, i5 core, 16GB RAM) with the same code. Traceback (most recent call last):   File "", line 1, in   File "/Users/bapikar/miniforge3/envs/tf28_python38/lib/python3.8/multiprocessing/spawn.py", line 116, in spawn_main     exitcode = _main(fd, parent_sentinel)   File "/Users/bapikar/miniforge3/envs/tf28_python38/lib/python3.8/multiprocessing/spawn.py", line 126, in _main     self = reduction.pickle.load(from_parent)   File "/Users/bapikar/miniforge3/envs/tf28_python38/lib/python3.8/multiprocessing/synchronize.py", line 110, in setstate     self._semlock = _multiprocessing.SemLock._rebuild(*state) FileNotFoundError: [Errno 2] No such file or directory

Moreover, in predict function, when I turned on multi_processing as below, it merely turns on 4cores (seen on activity monitor- CPU HISTORY). Rest of the cores are dead! predict(data, max_queue_size=10, workers=8, use_multiprocessing=True )

what is the point of having a "GPU"? My Mac Studio M1 Ultra GPU (20c CPU, 64c GPU) is dead slow while training, slower than even my MBP13-2017 for the same code, same data points!!! What is going on? Please see the History:

Same with me. (Python: 3.9.13 tensorflow-macos: 2.9.2 tensorflow-metal: 0.5.0)

FOR M1 ULTRA (128GB RAM, 20c CPU, 64c GPU) on MacOS 12.5, getting the following message: Metal device set to: Apple M1 Ultra systemMemory: 128.00 GB maxCacheSize: 48.00 GB 2022-07-22 16:44:43.488061: I tensorflow/core/common_runtime/pluggable_device/pluggable_device_factory.cc:305] Could not identify NUMA node of platform GPU ID 0, defaulting to 0. Your kernel may not have been built with NUMA support. 2022-07-22 16:44:43.488273: I tensorflow/core/common_runtime/pluggable_device/pluggable_device_factory.cc:271] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 0 MB memory) -> physical PluggableDevice (device: 0, name: METAL, pci bus id: ) My question is: is Why is this error coming at all? Why NUMA? Moreover, GPU has 0MB memory? How is this possible? Python: 3.9.13 tensorflow-macos: 2.9.2 tensorflow-metal: 0.5.0 Please help. Thanks, Bapi

Thank you very much. I will update asap!

Anyone? Please help! Thanks.