bhack

I think there is not si much room to continue confusing the developers or fragmentig their experience: https://www.infoworld.com/article/3518453/interested-in-machine-learning-better-learn-pytorch.html

Let not be the multi-team evolutionary approach/business philosophy in Google a fragmentation negative externality for users It Is already becoming harder today to find non Google papers reference impl in...

> Should the layer expect the path to the mixing set (location of the fractal dataset) as an input? Yes, if we compare this with the other KPLs we have,...

At least if we don't want to use a TF online approach without exactly the same image set: https://thompsonsed.co.uk/programming-fractal-art-using-tensorflow

Can you try with this: https://github.com/tensorflow/models/blob/master/official/vision/beta/ops/augment.py#L190:L218

/cc @yarri-oss @theadactyl At some point we could handle these duplicates in the ecosystem.

`!pip install -U tf-models-official` ```python import tensorflow as tf from official.vision.beta.ops import augment as tfm import tensorflow_datasets as tfds mnist = tfds.load('mnist', split='test', as_supervised=True) ds = mnist.map(lambda x, y: (tfm.rotate(x,...

Currently we have `tfa-nighlty` support for M1 e.g. as you can see: https://pypi.org/project/tfa-nightly/0.15.0.dev20211014164307/#files For TF-Addons 0.14 -> TF 2.6 instead is on hold: https://github.com/tensorflow/addons/pull/2583

Generally I think that this RFC will have some positive impacts if the SIGs leads will be involved in the process and not only in the RFC revision. What I...

> Thanks everyone for the discussion and comments, we will need more time to figure out the design, so we will hold this design RFC and have cancelled the design...