[NPU] fix bce_loss_npu, test=develop (#34876)

paddle/fluid/operators/bce_loss_op_npu.cc

@@ -34,8 +34,9 @@ class BCELossNPUKernel : public framework::OpKernel<T> {
         ctx.template device_context<paddle::platform::NPUDeviceContext>()
             .stream();
 
-    const auto& runner = NpuOpRunner("BinaryCrossEntropy", {*x, *labels},
-                                     {*out}, {{"reduction", "none"}});
+    const auto& runner =
+        NpuOpRunner("BinaryCrossEntropy", {*x, *labels}, {*out},
+                    {{"reduction", static_cast<std::string>("none")}});
     runner.Run(stream);
   }
 };
@@ -57,7 +58,7 @@ class BCELossGradNPUKernel : public framework::OpKernel<T> {
 
     const auto& runner =
         NpuOpRunner("BinaryCrossEntropyGrad", {*x, *labels, *dout}, {*dx},
-                    {{"reduction", "none"}});
+                    {{"reduction", static_cast<std::string>("none")}});
     runner.Run(stream);
   }
 };

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

@@ -96,7 +96,7 @@ def test_dygraph_layer(place,
                        label_np,
                        reduction='mean',
                        weight_np=None):
-    paddle.disable_static()
+    paddle.disable_static(place)
     if weight_np is not None:
         weight = paddle.to_tensor(weight_np)
         bce_loss = paddle.nn.loss.BCELoss(weight=weight, reduction=reduction)
@@ -113,7 +113,7 @@ def test_dygraph_functional(place,
                             label_np,
                             reduction='mean',
                             weight_np=None):
-    paddle.disable_static()
+    paddle.disable_static(place)
     input = paddle.to_tensor(input_np)
     label = paddle.to_tensor(label_np)