![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/93366/51704290-80bae700-1fcd-11e9-9a99-8bfcc9da4e1f.png)
tf.function decorated training loop not working with tf-nightly-gpu-2.0-preview==2.0.0rc0 · Issue #25177 · tensorflow/tensorflow · GitHub
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Multiple GPUs yield different result as single GPU for same model training · Issue #507 · tensorflow/serving · GitHub
![Installing Tensorflow-GPU with NVIDIA CUDA on a Google Cloud Platform VM instance | by Megha Desai | Searce Installing Tensorflow-GPU with NVIDIA CUDA on a Google Cloud Platform VM instance | by Megha Desai | Searce](https://miro.medium.com/max/1400/1*xrP6gDwKAumZF73MMC6DDQ.png)
Installing Tensorflow-GPU with NVIDIA CUDA on a Google Cloud Platform VM instance | by Megha Desai | Searce
![François Chollet on Twitter: "Tweetorial: high-performance multi-GPU training with Keras. The only thing you need to do to turn single-device code into multi-device code is to place your model construction function under François Chollet on Twitter: "Tweetorial: high-performance multi-GPU training with Keras. The only thing you need to do to turn single-device code into multi-device code is to place your model construction function under](https://pbs.twimg.com/media/EwjqBGZUYAQWUD-.jpg:large)
François Chollet on Twitter: "Tweetorial: high-performance multi-GPU training with Keras. The only thing you need to do to turn single-device code into multi-device code is to place your model construction function under
![Requested GPU:0, but only XLA_GPU:0 exsits, tf-gpu1.14.0 · Issue #30748 · tensorflow/tensorflow · GitHub Requested GPU:0, but only XLA_GPU:0 exsits, tf-gpu1.14.0 · Issue #30748 · tensorflow/tensorflow · GitHub](https://user-images.githubusercontent.com/5757359/61288486-e3987880-a7cf-11e9-8f1d-efb1a7130879.png)