Using tf-nightly-gpu==1.13.0.dev2018121 in CUDA9 cannot be installed · Issue #20 · tensorflow/lingvo · GitHub
![tf.function decorated training loop not working with tf-nightly-gpu-2.0-preview==2.0.0rc0 · Issue #25177 · tensorflow/tensorflow · GitHub tf.function decorated training loop not working with tf-nightly-gpu-2.0-preview==2.0.0rc0 · Issue #25177 · tensorflow/tensorflow · GitHub](https://user-images.githubusercontent.com/93366/52244111-f60d9e00-2890-11e9-99fc-bbc3b0e627a2.png)
tf.function decorated training loop not working with tf-nightly-gpu-2.0-preview==2.0.0rc0 · Issue #25177 · tensorflow/tensorflow · GitHub
![توییتر \ François Chollet در توییتر: «TensorFlow has crossed 100M total downloads from PyPI -- not counting downloads from our various auxiliary packages, tf-nightly, the old tf-gpu, the old Keras, etc. Here's توییتر \ François Chollet در توییتر: «TensorFlow has crossed 100M total downloads from PyPI -- not counting downloads from our various auxiliary packages, tf-nightly, the old tf-gpu, the old Keras, etc. Here's](https://pbs.twimg.com/media/EX1efLdU8AAsXDr.png:large)
توییتر \ François Chollet در توییتر: «TensorFlow has crossed 100M total downloads from PyPI -- not counting downloads from our various auxiliary packages, tf-nightly, the old tf-gpu, the old Keras, etc. Here's
![How to install TensorFlow and TensorFlow Probability (nightly) on Mac M1 Pro with Rosetta | The Unconscious Statistician How to install TensorFlow and TensorFlow Probability (nightly) on Mac M1 Pro with Rosetta | The Unconscious Statistician](https://www.theunconsciousstatistician.com/post/tf-on-m1/featured.jpg)
How to install TensorFlow and TensorFlow Probability (nightly) on Mac M1 Pro with Rosetta | The Unconscious Statistician
![François Chollet on Twitter: "New in tf-nightly: the NumPy API. - GPU and TPU-accelerated NumPy code - Interoperable with the rest of the TF ecosystem Documentation: https://t.co/K1aKKj7lEA https://t.co/bkzeQmTQSF" / Twitter François Chollet on Twitter: "New in tf-nightly: the NumPy API. - GPU and TPU-accelerated NumPy code - Interoperable with the rest of the TF ecosystem Documentation: https://t.co/K1aKKj7lEA https://t.co/bkzeQmTQSF" / Twitter](https://pbs.twimg.com/media/EfFH-0-UwAUO2nz.png)