Revert C++ changes

paddle/operators/tensor_array_read_write_op.cc

@@ -136,17 +136,6 @@ class ReadFromArrayOp : public ArrayOp {
       auto &dev_ctx = *pool.Borrow(place);
       framework::CopyFrom(x_array[offset], place, dev_ctx, out_tensor);
       out_tensor->set_lod(x_array[offset].lod());
-      if (Input("X") == "dynamic_rnn_0_output_array_fc_0.tmp_0_0@GRAD") {
-        VLOG(10) << "Offset = " << offset;
-        if (x_array[offset].numel() != 0) {
-          auto d = x_array[offset].dims();
-          std::ostringstream sout;
-          for (int64_t i = 0; i < d[0]; ++i) {
-            sout << x_array[offset].data<float>()[0 * d[1]] << ", ";
-          }
-          VLOG(10) << "Grad = " << sout.str();
-        }
-      }
     } else {
       VLOG(10) << "offset " << offset << " >= " << x_array.size();
     }

paddle/operators/while_op.cc

@@ -129,9 +129,6 @@ class WhileGradOp : public framework::OperatorBase {
         auto &og_inside =
             detail::Ref(cur_scope.Var(inside_og_name),
                         "Cannot find inside gradient %s", inside_og_name);
-
-        VLOG(10) << "OG " << outside_og_name << " Type is "
-                 << og_outside.Type().name();
         if (og_outside.Type().hash_code() ==
             typeid(framework::LoDTensor).hash_code()) {
           auto &outside_tensor = og_outside.Get<framework::LoDTensor>();
@@ -148,6 +145,7 @@ class WhileGradOp : public framework::OperatorBase {
           inside_array.resize(outside_array.size());
 
           for (size_t j = 0; j < inside_array.size(); ++j) {
+            VLOG(10) << j << " " << outside_array[j].numel();
             if (outside_array[j].numel() != 0) {
               inside_array[j].set_lod(outside_array[j].lod());
               inside_array[j].ShareDataWith(outside_array[j]);
@@ -200,17 +198,6 @@ class WhileGradOp : public framework::OperatorBase {
         auto sum_op = framework::OpRegistry::CreateOp(
             "sum", {{"X", {pg_names[param_id], new_inside_name}}},
             {{"Out", {pg_names[param_id]}}}, framework::AttributeMap{});
-
-        VLOG(10) << "Accumulate the gradient of " << pg_names[param_id];
-
-        if (pg_names[param_id] == "W@GRAD") {
-          auto &w_g = detail::Ref(cur_scope.FindVar(new_inside_name))
-                          .Get<framework::LoDTensor>();
-          VLOG(10) << "W_G is" << w_g.data<float>()[0];
-        } else {
-          VLOG(10) << pg_names[param_id];
-        }
-
         sum_op->Run(cur_scope, dev_place);
         cur_scope.Rename(new_inside_name, inside_grad_name);
       }