Fixed issues with torch model device and removed enforcement of torch device in input files

Author: chaibhave

examples/libtorch_kks/KKS_libtorch.i

@@ -30,9 +30,6 @@ h_eta = 'eta^3*(6*eta^2-15*eta+10)'
     ymin = -50
     ymax = 50
 
-    # run on a CUDA device (adjust this to `cpu` if not available)
-    device_names = 'cuda'
-
     # automatically create a matching mesh
     mesh_mode = DUMMY
 []

src/tensor_computes/LibtorchGibbsEnergy.C

@@ -38,7 +38,12 @@ LibtorchGibbsEnergy::LibtorchGibbsEnergy(const InputParameters & parameters)
     _file_path(Moose::DataFileUtils::getPath(getParam<DataFileName>("libtorch_model_file"))),
     _surrogate(std::make_unique<torch::jit::script::Module>(torch::jit::load(_file_path.path)))
 {
-  _surrogate->to(MooseTensor::floatTensorOptions().device());
+  const auto opts = MooseTensor::floatTensorOptions();
+
+  auto ref = torch::empty({0}, opts);
+  const auto dev = ref.device();
+  const auto dt  = ref.scalar_type();
+  _surrogate->to(dev, dt, /*non_blocking=*/false);
   _surrogate->eval();
 
   auto phase_fractions = getParam<std::vector<TensorInputBufferName>>("phase_fractions");

test/tests/kks/KKS_libtorch.i

@@ -30,9 +30,6 @@ h_eta = 'eta^3*(6*eta^2-15*eta+10)'
     ymin = -50
     ymax = 50
 
-    # run on a CUDA device (adjust this to `cpu` if not available)
-    device_names = 'cuda'
-
     # automatically create a matching mesh
     mesh_mode = DUMMY
 []