Created by: xinghai-sun

Inference.infer will have incorrect results when running with multiple GPUs.

Below is the output data of the first convolution layer for 4 example instances, when trainer_count=1 (upper figure) and trainer_count=2 (lower figure).

The output results are wrong if trainer_count > 1 (use_gpu=True).

If we just print the input data layer, no difference is found between the two cases, indicating that the problem might exist in models instead of data allocation across GPUs.