speed benchmark for testing tensorflow install
<p>I'm doubting whether tensorflow is correctly configured on my gpu box, since it's about 100x slower per iteration to train a simple linear regression model (batchsize = 32, 1500 input features, 150 output variables) on my fancy gpu machine than on my laptop. </p>

<p>I'm using a Titan X, with a modern cpu, etc. nvidia-smi says that I'm only at 10% gpu utilization, but I expect that's because of the small batchsizes. I'm not using a feed_dict to move data into the computation graph. Everything is coming via a tf.decode_csv and tf.train.shuffle_batch.</p>

<p>Does anyone have any recommendations for how to easily test whether my install is correct?  Are there any simple speed benchmarks? The speed difference between my laptop and the gpu machine is so dramatic that I'm expecting that things aren't configured properly. </p>