GitHub - aieater/rocm_tensorflow_info: The official page of ROCm/TensorFlow will contain information that is always confusing. On this page we will endeavor to describe accurate information based on the knowledge gained by GPUEater
Convergence issue with Keras on ROCm · Issue #251 · ROCmSoftwarePlatform/tensorflow-upstream · GitHub
![The issue of reduced half-precision speed when using ROCm devices. · Issue #18885 · keras-team/keras · GitHub The issue of reduced half-precision speed when using ROCm devices. · Issue #18885 · keras-team/keras · GitHub](https://private-user-images.githubusercontent.com/132054009/288011902-b0985d74-fc95-4d51-8122-f78902fdf2d9.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTEiLCJleHAiOjE3MDE3Nzc5MDQsIm5iZiI6MTcwMTc3NzYwNCwicGF0aCI6Ii8xMzIwNTQwMDkvMjg4MDExOTAyLWIwOTg1ZDc0LWZjOTUtNGQ1MS04MTIyLWY3ODkwMmZkZjJkOS5wbmc_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBSVdOSllBWDRDU1ZFSDUzQSUyRjIwMjMxMjA1JTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDIzMTIwNVQxMjAwMDRaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT1jMjZjYjFmYmRhZTU0ZjgwNTRhNmMxMmU3YTQ3ZmRjNzBiZjBhOGVkNzU2ZDQ2MGUwYTU1YTFlMWJiMmUwZGFjJlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCZhY3Rvcl9pZD0wJmtleV9pZD0wJnJlcG9faWQ9MCJ9.L5NnDZK7pmlStdUZvlddsKgivPIbcWy4xjC77JDnI-A)
The issue of reduced half-precision speed when using ROCm devices. · Issue #18885 · keras-team/keras · GitHub
![The issue of reduced half-precision speed when using ROCm devices. · Issue #18885 · keras-team/keras · GitHub The issue of reduced half-precision speed when using ROCm devices. · Issue #18885 · keras-team/keras · GitHub](https://private-user-images.githubusercontent.com/132054009/288004982-2bced82a-ea23-4b0d-bd7a-b1afc1d58978.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTEiLCJleHAiOjE3MDE3Nzc5MDQsIm5iZiI6MTcwMTc3NzYwNCwicGF0aCI6Ii8xMzIwNTQwMDkvMjg4MDA0OTgyLTJiY2VkODJhLWVhMjMtNGIwZC1iZDdhLWIxYWZjMWQ1ODk3OC5wbmc_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBSVdOSllBWDRDU1ZFSDUzQSUyRjIwMjMxMjA1JTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDIzMTIwNVQxMjAwMDRaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT1hNzg5NGRjNDIzMzRjYTIwZTEzOTZjZDQ3N2RhNGZkNTVjMWRhYjdlYWYyNDNiMGExYzc0MjljMzc3MzQ5YzY4JlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCZhY3Rvcl9pZD0wJmtleV9pZD0wJnJlcG9faWQ9MCJ9.x86AakPrFaMNyXdL_jgUOBwDZs1w95-WUKWPbKdO4s0)
The issue of reduced half-precision speed when using ROCm devices. · Issue #18885 · keras-team/keras · GitHub
![Radeon ROCm 2.0 Officially Out With OpenCL 2.0 Support, TensorFlow 1.12, Vega 48-bit Virtual Addressing : r/Amd Radeon ROCm 2.0 Officially Out With OpenCL 2.0 Support, TensorFlow 1.12, Vega 48-bit Virtual Addressing : r/Amd](https://external-preview.redd.it/_mnDEv3wAukntmZSIsv-sgFOrii1i9_4uTjYQCYMLsM.jpg?width=640&crop=smart&auto=webp&s=3b3bf300405af52d5c99fcd4e5ed06dada34cbfc)
Radeon ROCm 2.0 Officially Out With OpenCL 2.0 Support, TensorFlow 1.12, Vega 48-bit Virtual Addressing : r/Amd
![ROCm™ Learning Center [introductory tutorials] [ROCm 3.x; HIP, rocprof, LDS; Docker (TensorFlow DNN, PyTorch LSTM, Keras MultiGPU), SEEDBank; RCCL, MPI, hipCUB] : r/ROCm ROCm™ Learning Center [introductory tutorials] [ROCm 3.x; HIP, rocprof, LDS; Docker (TensorFlow DNN, PyTorch LSTM, Keras MultiGPU), SEEDBank; RCCL, MPI, hipCUB] : r/ROCm](https://external-preview.redd.it/Uw9Z-ATtXBVz3bFA4dAJBygcK_v6wL5a2uOdNIk-9qE.jpg?auto=webp&s=c9e47dc7ead939c14e8582ec6e213ea7b7903190)