问题
I have converted a tensorflow inference graph to tflite model file (*.tflite), according to instructions from https://www.tensorflow.org/lite/convert.
I tested the tflite model on my GPU server, which has 4 Nvidia TITAN GPUs. I used the tf.lite.Interpreter to load and run tflite model file.
It works as the former tensorflow graph, however, the problem is that the inference became too slow. When I checked out the reason, I found that the GPU utilization is simply 0% when tf.lite.Interpreter is running.
Is there any method that I can run tf.lite.Interpreter with GPU support?
回答1:
https://github.com/tensorflow/tensorflow/issues/34536
CPU is kind of good enough for tflite, especially multicore.
nvidia GPU likely not updated for tflite, which is for mobile GPU platform.
来源：https://stackoverflow.com/questions/57801680/how-can-i-use-gpu-for-running-a-tflite-model-tflite-using-tf-lite-interprete