tf.keras.layers.Embedding forces CPU placement if eager execution is enabled and GPUs are present. · Issue #44194 · tensorflow/tensorflow · GitHub
![Setting up a Deep Learning Workplace with an NVIDIA Graphics Card (GPU) — for Windows OS | by Rukshan Pramoditha | Data Science 365 | Medium Setting up a Deep Learning Workplace with an NVIDIA Graphics Card (GPU) — for Windows OS | by Rukshan Pramoditha | Data Science 365 | Medium](https://miro.medium.com/v2/resize:fit:1400/1*_TpOLFG8ksnbbUxd_uSmVA.jpeg)
Setting up a Deep Learning Workplace with an NVIDIA Graphics Card (GPU) — for Windows OS | by Rukshan Pramoditha | Data Science 365 | Medium
![Overcoming Data Preprocessing Bottlenecks with TensorFlow Data Service, NVIDIA DALI, and Other Methods | by Chaim Rand | Towards Data Science Overcoming Data Preprocessing Bottlenecks with TensorFlow Data Service, NVIDIA DALI, and Other Methods | by Chaim Rand | Towards Data Science](https://miro.medium.com/v2/resize:fit:1400/1*6k09IANsc8O0RLoEMZSuvA.png)