I have followed the installation guide for tensorflow fro R. I have a M1 Pro, so in my miniconda env I have installed tf and the metal extension, following the apple guide
This means I can use tf with my GPU. here is my doubt: what does the following message means?
2023-08-31 09:09:38.772047: I metal_plugin/src/device/metal_device.cc:1154] Metal device set to: Apple M1 Pro
2023-08-31 09:09:38.772092: I metal_plugin/src/device/metal_device.cc:296] systemMemory: 16.00 GB
2023-08-31 09:09:38.772106: I metal_plugin/src/device/metal_device.cc:313] maxCacheSize: 5.33 GB
2023-08-31 09:09:38.772254: I tensorflow/core/common_runtime/pluggable_device/pluggable_device_factory.cc:303] Could not identify NUMA node of platform GPU ID 0, defaulting to 0. Your kernel may not have been built with NUMA support.
2023-08-31 09:09:38.772633: I tensorflow/core/common_runtime/pluggable_device/pluggable_device_factory.cc:269] 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: )
tf.Tensor(b'Hello tf!', shape=(), dtype=string)
TensorFlow v2.13.0 (~/miniconda3/envs/myenv/lib/python3.11/site-packages/tensorflow)
Python v3.11 (~/miniconda3/envs/myenv/bin/python3.11)
I will try to check using my activity monitor if it is working on my cpu or gpu. Is there a way to suppress this message?