Warnings.warn('`Model.state_updates` will be removed in a future version. This property should not be used in TensorFlow 2.0, as `updates` are applied automatically. Macbook Air Early 2014 Native Resolution 1440x900 i5 4gb. 21:48:18.953797: W tensorflow/core/platform/profile_utils/cpu_:126] Failed to get CPU frequency: 0 HzĤ9856/50000 - ETA: 0s - loss: 1.5445 - accuracy: 0.4369/Users/dotw/miniforge3/envs/m1/lib/python3.8/site-packages/tensorflow/python/keras/engine/training.py:2325: UserWarning: `Model.state_updates` will be removed in a future version. On my 2012 Macbook Pro Retina this makes the screen resolution 1920x1200 instead of the normal. 21:48:18.948717: I tensorflow/compiler/mlir/mlir_graph_optimization_:196] None of the MLIR optimization passes are enabled (registered 0 passes) Train on 50000 samples, validate on 10000 samples The only thing I did was to uncomment the mlcompute set GPU statement and reorder some lines for readability. Validation_data =( test_images, test_labels))
fit( train_images, train_labels, epochs = 10, SparseCategoricalCrossentropy( from_logits = True), Train_images, test_images = train_images / 255.0, test_images / 255.0 class_names = [ 'airplane', 'automobile', 'bird', 'cat', 'deer', The guy doing the demo said he was 'disappointed' in the performance.
M1 Mac performance: 25-35 FPS on 'high quality' of 1080p. ( train_images, train_labels), ( test_images, test_labels) = datasets. Here's a quick look at CSL on an M1 Mac (NOT an M1 PRO or M1 MAX), starting at the 24 minute mark.
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