Introduction SourceStyle Transfer This time, I am going to run the “Style transfer” which is popular in the field of image generation and image style transfer, using Tensorflow 1.3 on ROCm with AMD Radeon Vega56. System requirements AMD(TF1.3): Ubuntu 16.04.4 x64 TensorFlow 1.3 Python 3.5 Driver: ROCm 1.7.137 I used the following source code of Fast StyleTransfer when performing. https://github.com/lengstrom/fast-style-transfer.git Thank you,Logan Engstrom. Setup TensorFlow on Radeon GPU HIP-TensorFLow 1.

Introduction SourceYoloV2(Object Detection)FCN(Semantic Segmentation) The field of semantic segmentation has many popular networks, including U-Net (2015), FCN (2015), PSPNet (2017), and others. In this study, we used an AMD Radeon GPU to run these networks. We used ROCm-TensorFlow 1.3 and ROCm 1.7.137 as our operating framework. *We re-used the source code from the following repository. hellochick https://github.com/hellochick/semantic-segmentation-tensorflow Setup TensorFlow 1.3 on an AMD Radeon GPU HIP-TensorFLow 1.0.1 was recently updated to TensorFlow 1.