diff --git a/paddle/fluid/framework/device_worker.cc b/paddle/fluid/framework/device_worker.cc
index 5cfe664203ff244cfd3955d28e13af99b31de4f0..f7e64b4f659d800e2acb89c5680bfbde6441b1a8 100644
--- a/paddle/fluid/framework/device_worker.cc
+++ b/paddle/fluid/framework/device_worker.cc
@@ -163,26 +163,35 @@ void DeviceWorker::DumpField(const Scope& scope, int dump_mode,
   for (auto& field : *dump_fields_) {
     Variable* var = scope.FindVar(field);
     if (var == nullptr) {
+      VLOG(0) << "Note: field[" << field
+              << "] cannot be find in scope, so it was skipped.";
       continue;
     }
     LoDTensor* tensor = var->GetMutable<LoDTensor>();
+    if (!tensor->IsInitialized()) {
+      VLOG(0) << "Note: field[" << field
+              << "] is not initialized, so it was skipped.";
+      continue;
+    }
     framework::LoDTensor cpu_tensor;
     if (platform::is_gpu_place(tensor->place())) {
       TensorCopySync(*tensor, platform::CPUPlace(), &cpu_tensor);
+      cpu_tensor.set_lod(tensor->lod());
       tensor = &cpu_tensor;
     }
     if (!CheckValidOutput(tensor, batch_size)) {
+      VLOG(0) << "Note: field[" << field << "] cannot pass check, so it was "
+                                            "skipped. Maybe the dimension is "
+                                            "wrong ";
       continue;
     }
     for (size_t i = 0; i < batch_size; ++i) {
       if (!hit[i]) {
         continue;
       }
-      auto output_dim = tensor->dims()[1];
-      std::string output_dimstr = boost::lexical_cast<std::string>(output_dim);
-      ars[i] = ars[i] + "\t" + field + ":" + output_dimstr;
       auto bound = GetTensorBound(tensor, i);
-
+      ars[i] = ars[i] + "\t" + field + ":" +
+               std::to_string(bound.second - bound.first);
       ars[i] += PrintLodTensor(tensor, bound.first, bound.second);
     }
   }
diff --git a/paddle/fluid/framework/fleet/box_wrapper.h b/paddle/fluid/framework/fleet/box_wrapper.h
index 37fd35b4f0321e351241bed880fbd62bfadc7d5f..27eb0d68eb442453e2be6532043ddaa1ab5e2d18 100644
--- a/paddle/fluid/framework/fleet/box_wrapper.h
+++ b/paddle/fluid/framework/fleet/box_wrapper.h
@@ -266,7 +266,7 @@ class AfsManager {
         fcntl(fd_read[0], F_SETFD, FD_CLOEXEC);
         fp_read = fdopen(fd_read[0], "r");
         PADDLE_ENFORCE_NE(
-            fp_read, 0,
+            fp_read, nullptr,
             platform::errors::External(
                 "Failed to open file descriptor via fdopen in AfsManager."));
       }
@@ -276,7 +276,7 @@ class AfsManager {
         fcntl(fd_write[1], F_SETFD, FD_CLOEXEC);
         fp_write = fdopen(fd_write[1], "w");
         PADDLE_ENFORCE_NE(
-            fp_write, 0,
+            fp_write, nullptr,
             platform::errors::External(
                 "Failed to open file descriptor via fdopen in AfsManager."));
       }
diff --git a/python/paddle/fluid/tests/unittests/test_boxps.py b/python/paddle/fluid/tests/unittests/test_boxps.py
index 88a6e5e9be84f54545218c93de3189fb85ff7e35..a61cc9747e92ec88980b014bfa20820e89e7c730 100644
--- a/python/paddle/fluid/tests/unittests/test_boxps.py
+++ b/python/paddle/fluid/tests/unittests/test_boxps.py
@@ -105,6 +105,7 @@ class TestBoxPSPreload(unittest.TestCase):
                 name='x', shape=[1], dtype='int64', lod_level=0)
             y = fluid.layers.data(
                 name='y', shape=[1], dtype='int64', lod_level=0)
+            z = layers.data(name='z', shape=[1], dtype='int64')
             emb_x, emb_y = _pull_box_sparse([x, y], size=2)
             emb_xp = _pull_box_sparse(x, size=2)
             concat = layers.concat([emb_x, emb_y], axis=1)
@@ -114,7 +115,6 @@ class TestBoxPSPreload(unittest.TestCase):
                            num_flatten_dims=1,
                            bias_attr=False)
             loss = layers.reduce_mean(fc)
-            layers.Print(loss)
             place = fluid.CPUPlace(
             ) if is_cpu or not core.is_compiled_with_cuda(
             ) else fluid.CUDAPlace(0)
@@ -161,8 +161,14 @@ class TestBoxPSPreload(unittest.TestCase):
                 sync_steps=-1)
             optimizer.minimize(loss)
 
-            program._pipeline_opt[
-                "dump_fields"] = ["fc.tmp_0", "fc.tmp_0@GRAD", "hehe"]
+            program._pipeline_opt["dump_fields"] = [
+                "fc.tmp_0", "fc.tmp_0@GRAD", "fake_var", "z",
+                "reduce_mean_3.tmp_0"
+            ]
+            # fake_var: not in scope
+            # z: in scope, but no initialized
+            # reduce_mean_0.tmp_0, dimension is not right
+
             program._pipeline_opt["dump_fields_path"] = "./dump_log/"
             program._pipeline_opt["dump_param"] = ["fc.w_0"]
             program._pipeline_opt["enable_random_dump"] = True