Device: MacBook Pro 16 M1 Max, 64GB running MacOS 12.0.1.
I tried setting up GPU Accelerated TensorFlow on my Mac using the following steps:
- Setup: XCode CLI / Homebrew/ Miniforge
- Conda Env: Python 3.9.5
conda install -c apple tensorflow-depspython -m pip install tensorflow-macospython -m pip install tensorflow-metalbrew install libjpegconda install -y matplotlib jupyterlab- In Jupyter Lab, I try to execute this code:
from tensorflow.keras import layers
from tensorflow.keras import models
model = models.Sequential()
model.add(layers.Conv2D(32, (3, 3), activation='relu', input_shape=(28, 28, 1)))
model.add(layers.MaxPooling2D((2, 2)))
model.add(layers.Conv2D(64, (3, 3), activation='relu'))
model.add(layers.MaxPooling2D((2, 2)))
model.add(layers.Conv2D(64, (3, 3), activation='relu'))
model.add(layers.Flatten())
model.add(layers.Dense(64, activation='relu'))
model.add(layers.Dense(10, activation='softmax'))
model.summary()
The code executes, but I get this warning, indicating no GPU Acceleration can be used as it defaults to a 0MB GPU. Error:
Metal device set to: Apple M1 Max
2021-10-27 08:23:32.872480: 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.
2021-10-27 08:23:32.872707: 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: <undefined>)
Anyone has any idea how to fix this? I came across a bunch of posts around here related to the same issue but with no solid fix. I created a new question as I found the other questions less descriptive of the issue, and wanted to comprehensively depict it. Any fix would be of much help.
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Add a CommentMetal device set to: Apple M1
systemMemory: 16.00 GB maxCacheSize: 5.33 GB
2021-12-13 19:59:56.135942: 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. 2021-12-13 19:59:56.136049: I tensorflow/core/common_runtime/pluggåable_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: )