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It appears to me that you are trying to install Meridian on an Apple M4 Macbook with GPU support. I would like to inform you that we don't currently support Apple GPU. Please retry the installation for the CPU alone using the following installation command:
pip install --upgrade google-meridian
Be sure not to include the [and-cuda] part of the installation command from the demo notebook for the CPU installation.
Feel free to reach out if you are still facing issues with the installation.
2025-02-12 16:14:53.479858: I metal_plugin/src/device/metal_device.cc:1154] Metal device set to: Apple M4 Pro
2025-02-12 16:14:53.479987: I metal_plugin/src/device/metal_device.cc:296] systemMemory: 64.00 GB
2025-02-12 16:14:53.480011: I metal_plugin/src/device/metal_device.cc:313] maxCacheSize: 24.00 GB
2025-02-12 16:14:53.480073: 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.
2025-02-12 16:14:53.480103: 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: )
2025-02-12 16:14:53.570249: W tensorflow/core/framework/op_kernel.cc:1839] OP_REQUIRES failed at xla_ops.cc:580 : NOT_FOUND: could not find registered platform with id: 0x10ed7e2d0
NotFoundError Traceback (most recent call last)
Cell In[7], line 8
3 prior = prior_distribution.PriorDistribution(
4 roi_m=tfp.distributions.LogNormal(roi_mu, roi_sigma, name=constants.ROI_M)
5 )
6 model_spec = spec.ModelSpec(prior=prior)
----> 8 mmm = model.Meridian(input_data=data, model_spec=model_spec)
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