Tensorflow GPU under utilization on Windows 10

AI & Data Science Deep Learning (Training & Inference)
1

Hi,

I have GTX 1050 mobile graphic card. I have set up my tensorflow-gpu with conda, and have managed to get my tensorflow code work using GPU.

In the Windows Task Manager, I found my GPU has two compute engine metric, compute_0 and compute_1. But when I try to train my NN, I found only the compute_0 took the workload, and the other one was always at rest.

This makes me wonder if:

  • My system is set up correctly.

    My code is set up correctly.

Honestly, I am not completely sure if compute_0 and compute_1 refer to the CUDA core computation workload. Any suggestion about CUDA set up checking and hardware verification are desired.

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