I’ve just seen this too. A model that had been working gives an error after 17 epochs:
  File "/home/jhoward/anaconda3/lib/python3.6/site-packages/torch/nn/functional.py", line 776, in binary_cross_entropy
    return _functions.thnn.BCELoss.apply(input, target, weight, size_average)
  File "/home/jhoward/anaconda3/lib/python3.6/site-packages/torch/nn/_functions/thnn/auto.py", line 47, in forward
    output, *ctx.additional_args)
RuntimeError: cudaEventSynchronize in future::wait: an illegal memory access was encountered

This is with the torchvision resnet34 model, with 244x244 input, and AdaptiveAveragePooling2D before the linear layer. Let me know if there’s any more info I can provide.
Pytorch is current version from conda as of yesterday. Python 3.6. All conda packages updated.