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The most interesting question here is the newest competitor to Numpy - Tensorflow - https://www.tensorflow.org/guide/tf_numpy

With the added advantage that TF is natively accelerated on M1.

Will TF-Numpy maintain parity ?



TF-Numpy is not a competitor to NumPy. It just introduces a small subset of NP API to TF codebase. In TF you still have immutable tensors, so e.g. sth like: tensor[mask] = new_value doesn't work.




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