Yeah, that’s the version I’m using. Here is what I downloaded. I’m able to run inference on CPU, but it can’t find CUDA.
wget https://download.pytorch.org/libtorch/cu100/libtorch-shared-with-deps-1.3.0.zip . # 1.3.0
https://download.pytorch.org/whl/cu100/torch-1.3.0%2Bcu100-cp36-cp36m-linux_x86_64.whl
https://download.pytorch.org/whl/cu100/torchvision-0.4.1%2Bcu100-cp36-cp36m-linux_x86_64.whl

Comes out as
libtorch: 1.3.0
torch==1.3.0+cu100
torchvision==0.4.1+cu100

Code
  torch::Device device(torch::kCPU);
  if (torch::cuda::is_available()) {
    std::cout << "CUDA is available! Inference on GPU." << std::endl;
    device = torch::Device(torch::kCUDA);
  } else {
    std::cout << "CUDA not available! Inference on CPU." << std::endl;
  }

It finds cuda fine when I use python, just not libtorch.