Tried various how-tos on youtube and github. Have conda.
Third step fails.
conda install -c apple tensorflow-deps
pip install tensorflow-macos
pip install tensorflow-metal
ERROR: Could not find a version that satisfies the requirement tensorflow-metal (from versions: none)
ERROR: No matching distribution found for tensorflow-metal
I see a lot of fixes for Intel-based Mac. None for M3. HELP!?
I was getting the same error. I figured that this was because after I created a new conda environment for TensorFlow, I began by running conda install python to get the latest python version on the environment. My successful attempt was when I didn't install Python and went straight ahead with Step 1, "conda install -c apple tensorflow-deps" after creating the environment.
Step 1: Install TensorFlow dependencies from Apple Conda channel.
conda install -c apple tensorflow-deps
Step 2: Install base TensorFlow (Apple's fork of TensorFlow is called tensorflow-macos).
python -m pip install tensorflow-macos
Step 3: Install Apple's tensorflow-metal to leverage Apple Metal (Apple's GPU framework) for M1, M1 Pro, M1 Max GPU acceleration.
python -m pip install tensorflow-metal
It works on my m1 macbook pro.
Conda has difficulty identifying the OS. Type this command at the command line prior to running the pip command. export SYSTEM_VERSION_COMPAT=0
When you say Conda, are you referring to Anaconda or MiniConda? I understand they have some differing behavior around OS or Apple Metal.
I was getting the same error. I figured that this was because after I created a new conda environment for TensorFlow, I began by running conda install python to get the latest python version on the environment. My successful attempt was when I didn't install Python and went straight ahead with Step 1, "conda install -c apple tensorflow-deps" after creating the environment.
Step 1: Install TensorFlow dependencies from Apple Conda channel.
conda install -c apple tensorflow-deps
Step 2: Install base TensorFlow (Apple's fork of TensorFlow is called tensorflow-macos).
python -m pip install tensorflow-macos
Step 3: Install Apple's tensorflow-metal to leverage Apple Metal (Apple's GPU framework) for M1, M1 Pro, M1 Max GPU acceleration.
python -m pip install tensorflow-metal
It works on my m1 macbook pro.
Thanks for these replies! I'll try them both today or tomorrow.
I was able to get a fresh install to work on a different MacBook Air M2. Although simple tf/keras/gpu test scripts required several edits to even run and display versions and available devices!
I've seen a comment on yt that the reason I can't find answers is because M3 users likely prefer the apple mlx libraries over tensorflow due to unified memory support. Thoughts?
Well, I finally got it to install. I'm not sure what made it work, but I did some things:
channels:
- apple
- conda-forge
- defaults
subdirs:
- osx-arm64
- osx-64
- noarch
>>> tf.__version__
'2.16.1'
>>> tf.config.list_physical_devices()
[PhysicalDevice(name='/physical_device:CPU:0', device_type='CPU'), PhysicalDevice(name='/physical_device:GPU:0', device_type='GPU')]
-
—
gumstead
Add a CommentAlso note following version info:
Macos 14.4.1, ARM64tf.version = 2.16.1python=3.9Although I've tried python 3.12, 3.10, 3.8.