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I'm using a prebuilt version of javacpp-presets's tensorflow bindings. (for SparkNet, specifically here https://github.com/amplab/SparkNet). However, whenever I create a graph with GPU nodes and load it with javacpp-tensorflow, the placement log says they are all placed on CPU. nvidia-smi does not report any GPU memory usage by the JVM either. Has anyone gotten GPU stuff to work on javacpp-tensorflow?
The text was updated successfully, but these errors were encountered:
The binaries are not compiled with CUDA enabled. Rebuilding them with CUDA enabled will work, but the binaries might stop working on machines without GPU. That's something I'd like to check. Could you help out with that?
I'm using a prebuilt version of javacpp-presets's tensorflow bindings. (for SparkNet, specifically here https://github.com/amplab/SparkNet). However, whenever I create a graph with GPU nodes and load it with javacpp-tensorflow, the placement log says they are all placed on CPU. nvidia-smi does not report any GPU memory usage by the JVM either. Has anyone gotten GPU stuff to work on javacpp-tensorflow?
The text was updated successfully, but these errors were encountered: