Hi all, I'd installed following the steps from https://developer.apple.com/metal/tensorflow-plugin/ But while I'm running my training I get the log below and the performance is poor than CPU. Init Plugin Init Graph Optimizer Init Kernel Metal device set to: Apple M1 2021-07-17 18:40:53.716687: 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. 2021-07-17 18:40:53.716767: 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>) My versions: % python -V Python 3.9.6 % pip freeze absl-py @ file:///home/conda/feedstock_root/build_artifacts/absl-py_1606234718434/work astunparse @ file:///home/conda/feedstock_root/build_artifacts/astunparse_1610696312422/work cached-property @ file:///home/conda/feedstock_root/build_artifacts/cached_property_1615209429212/work cachetools==4.2.2 certifi==2021.5.30 charset-normalizer==2.0.3 cloudpickle==1.6.0 flatbuffers==1.12 gast @ file:///home/conda/feedstock_root/build_artifacts/gast_1596839682936/work google-auth==1.33.0 google-auth-oauthlib==0.4.4 google-pasta==0.2.0 grpcio @ file:///Users/runner/miniforge3/conda-bld/grpcio_1610588577338/work gym==0.18.3 h5py @ file:///Users/runner/miniforge3/conda-bld/h5py_1609497507927/work idna==3.2 keras-nightly==2.5.0.dev2021032900 Keras-Preprocessing @ file:///home/conda/feedstock_root/build_artifacts/keras-preprocessing_1610713559828/work Markdown==3.3.4 numpy @ file:///Users/runner/miniforge3/conda-bld/numpy_1610324554245/work oauthlib==3.1.1 opt-einsum @ file:///home/conda/feedstock_root/build_artifacts/opt_einsum_1617859230218/work Pillow==8.2.0 protobuf==3.17.2 pyasn1==0.4.8 pyasn1-modules==0.2.8 pyglet==1.5.15 requests==2.26.0 requests-oauthlib==1.3.0 rsa==4.7.2 scipy @ file:///Users/runner/miniforge3/conda-bld/scipy_1624824941870/work six @ file:///home/conda/feedstock_root/build_artifacts/six_1590081179328/work tensorboard==2.5.0 tensorboard-data-server==0.6.1 tensorboard-plugin-wit==1.8.0 tensorflow-estimator==2.5.0 tensorflow-macos==2.5.0 tensorflow-metal==0.1.1 termcolor==1.1.0 typing-extensions @ file:///home/conda/feedstock_root/build_artifacts/typing_extensions_1602702424206/work urllib3==1.26.6 Werkzeug==2.0.1 wrapt @ file:///Users/runner/miniforge3/conda-bld/wrapt_1624972047019/work How to speed up using the GPU? Best Regards, Fernando