[NPU] fix expand op (#38526)

* [NPU] fix expand op

* [NPU] optimize codes

* [NPU] optimize codes

paddle/fluid/operators/expand_op_npu.cc

@@ -81,14 +81,30 @@ class ExpandNPUKernel : public framework::OpKernel<T> {
       out_dims[i] *= expand_times[i];
     }
 
-    out0->Resize(out_dims);
-    out0->mutable_data<T>(context.device_context().GetPlace());
-    const auto& runner =
-        NpuOpRunner("TileD", {*in0}, {*out0}, {{"multiples", expand_times}});
+    auto place = context.GetPlace();
     auto stream =
         context.template device_context<paddle::platform::NPUDeviceContext>()
             .stream();
-    runner.Run(stream);
+
+    out0->Resize(out_dims);
+    out0->mutable_data<T>(place);
+
+    bool is_expand_times_all_one =
+        (out0->numel() == in0->numel()) ? true : false;
+
+    if (is_expand_times_all_one) {
+      memory::Copy(BOOST_GET_CONST(platform::NPUPlace, place),
+                   out0->mutable_data<T>(place),
+                   BOOST_GET_CONST(platform::NPUPlace, place), in0->data<T>(),
+                   in0->numel() * sizeof(T), stream);
+      if (out_dims != in_dims) {
+        out0->Resize(out_dims);
+      }
+    } else {
+      const auto& runner =
+          NpuOpRunner("TileD", {*in0}, {*out0}, {{"multiples", expand_times}});
+      runner.Run(stream);
+    }
   }
 };
 }  // namespace operators

python/paddle/fluid/tests/unittests/npu/test_expand_op_npu.py

@@ -132,5 +132,26 @@ class TestExpandNet(unittest.TestCase):
         self.assertTrue(np.allclose(npu_loss, cpu_loss))
 
 
+# ------------------------------------------------
+# Special Cases for NPU
+# ------------------------------------------------
+
+
+class TestExpand_expand_times_all_one(TestExpand):
+    def setUp(self):
+        self.set_npu()
+        self.op_type = "expand"
+        self.place = paddle.NPUPlace(0)
+
+        self.init_dtype()
+        np.random.seed(SEED)
+        x = np.random.randn(3, 1, 7).astype(self.dtype)
+        out = np.tile(x, [1, 1, 1])
+
+        self.inputs = {'X': OpTest.np_dtype_to_fluid_dtype(x)}
+        self.attrs = {'expand_times': [1, 1, 1]}
+        self.outputs = {'Out': out}
+
+
 if __name__ == '__main__':
     unittest.main()