![]() #Macbook pro gpu tensorflow installI just removed the mlcompute import below and was able to train the network. Im having an MacBook Pro 2018 15' and all I want to do is just to install ubuntu and its a nightmare. Apple announced the new M1 Max chip at its Apple Unleashed event on October 18. You can use tf.t_log_device_placement(True) to dump out the layers mapped to GPU. Even with 32 GPU cores, the M1 Max MacBook Pro still isn’t a gaming destination. So depending on the supported operations in Metal plugin the layers will be mapped to GPU by TF's device placer. ![]() We honor the Tensorflow's device placement logic. You don't need: from import mlcompute for setting the GPU device in Metal plugin. ![]() Should I reinstall my tf environment? Or is it just metal plugin's problem? > 9 from import mlcomputeġ0 t_mlc_device(device_name='gpu') ModuleNotFoundError Traceback (most recent call last) Optimizer=tf.(0.001),Īnd my jupyter notebook had an error below. Normalize_img, num_parallel_calls=tf.)ĭs_train = ds_train.shuffle(ds_examples)ĭs_train = ds_train.prefetch(tf.)ĭs_test = ds_test.prefetch(tf.) Even in the GPU score, where the RTX 3080 should outperform the M1 Maxs 32-core GPU, the MSI Creator 17 falls just shy of beating the MacBook Pro with a score of 113.8 compared to the Macs 115.9. Return tf.cast(image, tf.float32) / 255., label Even now I was able to connect a GPU to my MacBook Pro externally via Thunderbolt 2 and Akitio Thunder 2. """Normalizes images: `uint8` -> `float32`.""" But Im someone who was running tensorflow on OS X with gpu early on (look at the thread), and I switched to Linux specifically because I do a lot of net training with gpus, so take what I have to say fwiw. Tensorflow 2.8.0 was released a few days ago, whereas tensorflow-macos is stuck on 2.70 and was released on December 2nd, 2021. (ds_train, ds_test), ds_info = tfds.load( Are there plans to ever merge this with the main tensorflow repository at any point Being able to get updates with the main tensorflow repository is a luxury we no longer have. Timestamps:0:00 Introduction0:26 MacBook Configuration0:52 Benc. #Macbook pro gpu tensorflow codeThen I tried to run this benchmark code import tensorflow_datasets as tfdsįrom import disable_eager_executionįrom import mlcompute We run Tensorflow Benchmark Tests in the new MacBook Pro M1 Pro and get some amazing results. I recently downloaded and installed tensorflow on my M1 MacBook Pro following the instructions provided here:
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