4.5637e-41, -1.8788e+22,  4.5636e-41, -2.0042e-31,  4.5637e-41])),
                ('fc2.weight',
                 tensor([[ 0.1320,  0.2938,  0.0679,  0.2793,  0.1088, -0.1795, -0.2301,  0.2807,
                           0.2479,  0.1091]])),
                ('fc2.bias', tensor([0.0019]))])
Note, however, that the loaded parameters will not be replaced when
   doing a "dry run" if they are initialized when the state is loaded.
   This prevents using initialized modules in different contexts.
has_uninitialized_params()
  Check if a module has parameters that are not initialized

initialize_parameters(args, *kwargs)
  Initialize parameters according to the input batch properties.
  This adds an interface to isolate parameter initialization from
  the forward pass when doing parameter shape inference.
