fix RuntimeError: view size is not compatible with input tensor's siz…

…e and stride (at least one dimension spans across two contiguous subspaces). Use .reshape(...) instead.

deepmd/pt/model/descriptor/se_atten.py

@@ -567,7 +567,7 @@ def forward(
                 gg_t = torch.gather(tt_full, dim=0, index=nei_type_index)
             else:
                 idx_i = torch.tile(
-                    atype.view(-1, 1) * ntypes_with_padding, [1, nnei]
+                    atype.reshape(-1, 1) * ntypes_with_padding, [1, nnei]
                 ).view(-1)
                 idx_j = nei_type
                 # (nf x nl x nnei) x ng