Change coefs definition when using torch (#21)

Author: andersonw1

src/lasdi/latent_dynamics/sindy.py

@@ -46,7 +46,7 @@ def calibrate(self, Z, dt, compute_loss=True, numpy=False):
             if (numpy):
                 coefs = np.zeros([n_train, self.ncoefs])
             else:
-                coefs = torch.Tensor([n_train, self.ncoefs])
+                coefs = torch.zeros([n_train, self.ncoefs])
             loss_sindy, loss_coef = 0.0, 0.0
 
             for i in range(n_train):
@@ -120,4 +120,4 @@ def export(self):
         param_dict = super().export()
         param_dict['fd_type'] = self.fd_type
         param_dict['coef_norm_order'] = self.coef_norm_order
-        return param_dict
+        return param_dict