The approach and scripts mentioned above from @ctrahey worked to resolve the inability to import tensorflow into python. However, I still encountered a runtime error during model.fit() due to incompatibility in pandas. I noticed that my python and numpy were installed by conda-forge, while pandas was installed by pip. I uninstalled pandas using pip, reinstalled it using conda-forge, and the runtime error was resolved. Back to working on my loss function and training my model (where I was 2 weeks ago before deciding to try to get all this running natively instead of under the emulator).

I am successfully training a YOLO v2 CNN on M1 using the approach and script provided by @ctrahey above. That resolved the import tensorflow crashing python, but my neural net uses pandas under the covers during training and that threw a runtime error. Resolved by uninstalling pandas, which had initially been installed using pip, and reinstalling it using Conda. My model is training as I write this. Hope it helps.

Sorry for the hideous formatting here, I must svk at this inter web thing... Hello there @Frameworks Engineer, I have a similar issue 'TensorFlow and Numpy issue M1' though a different manifestation. First, here is a subset of my package environment with possible antagonists... keras-nightly             2.5.0.dev2021032900          pypi_0    pypi keras-preprocessing       1.1.2              pyhd8ed1ab_0    conda-forge libgfortran               5.0.0.dev0      11_0_1_hf114ba7_23    conda-forge libgfortran5              11.0.1.dev0         hf114ba7_23    conda-forge matplotlib                3.4.3                    pypi_0    pypi matplotlib-inline         0.1.2                    pypi_0    pypi numpy                     1.19.5           py39h1f3b974_2    conda-forge pandas                    1.3.1                    pypi_0    pypi python                    3.9.6           h54d631c_1_cpython    conda-forge tensorflow-deps           2.5.0                         1    apple tensorflow-estimator      2.5.0                    pypi_0    pypi tensorflow-macos          2.5.0                    pypi_0    pypi tensorflow-metal          0.1.2                    pypi_0    pypi tfa-nightly               0.15.0.dev20210922190150          pypi_0    pypi Late 2020 M1 with newly installed Version 12.0 Beta (21A5522h) I can launch my Python/TF/Keras code in Jupyter, define a functional model, define a custom loss function, compile the model, and load training data, but when attempting to run model.fit() I get: ----> 2 history = model.fit(x_train, 3 y_train, 4 batch_size = TRAINING_BATCH_SIZE, 5 epochs=10, ~/miniforge3/envs/tf_macos/lib/python3.9/site-packages/tensorflow/python/keras/engine/training.py in fit(self, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, validation_batch_size, validation_freq, max_queue_size, workers, use_multiprocessing) 1131 training_utils.RespectCompiledTrainableState(self): 1132 # Creates a tf.data.Dataset and handles batch and epoch iteration. -> 1133 data_handler = data_adapter.get_data_handler( 1134 x=x, 1135 y=y, . . . ~/miniforge3/envs/tf_macos/lib/python3.9/site-packages/pandas/_libs/init.py in 11 12 ---> 13 from pandas._libs.interval import Interval 14 from pandas._libs.tslibs import ( 15 NaT, ~/miniforge3/envs/tf_macos/lib/python3.9/site-packages/pandas/_libs/interval.pyx in init pandas._libs.interval() ValueError: numpy.ndarray size changed, may indicate binary incompatibility. Expected 88 from C header, got 80 from PyObject Welcome your thoughts and suggestions.

@ctrahey yours is the only solution that works for me as of 26 SEPT 2021. Default instructions from Apple install but importing tensorflow crashes python. I haven't installed jupyter or tried to load or execute my neural networks, but at least your scripts got me an environment where tensorflow doesn't immediately crash. Thanks for sharing.