Here are my questions: Could the remote connection be causing this error? The machine also has anIntel i7-6700 CPU with built-in graphics. In this context, whentf.config.list_physical_devices('GPU')outputs GPU:0
I am trying to run a model and getting this error where Tensorflow is trying to use the CUDA-based CudnnRNN operation, which is not available because I'm running TensorFlow with DirectML, not CUDA. I have a NVIDIA Geforece RTX 3070 that I am trying to use as the GPU. Anyone come acr...
The plugin works with TensorFlow core and easily integrates with versions 2.9 and newer of thetensorflowortensorflow-cpupackages to seamlessly register your existing GPU. Learn more about installing in our Docs Try out the TensorFlow-DirectML-Plugin Today We want to encourage all of you to pick up...
Currently the directml-plugin only works with tensorflow–cpu==2.10 and not tensorflow or tensorflow-gpu. Copy pip install tensorflow-cpu==2.10 STEP 5: Install tensorflow-directml-plugin Installing this package automatically enables the DirectML backend for existing scripts without any code changes....
absl::StrCat("/device:GPU:", i, " (DirectML) - ", adapter.Name())); auto line = plane.GetOrCreateLine(0); line.SetName("Kernels (CPU Timeline)"); auto memcpy_h2d_line = plane.GetOrCreateLine(0); memcpy_h2d_line.SetName("MemcpyH2D (CPU Timeline)"); plane.ForEachLine( [...