PaddlePaddle
diff --git a/‎paddle/fluid/eager/api/manual/eager_manual/forwards/add_n_fwd_func.cc
Copy file name to clipboard
+1-1Lines changed: 1 addition & 1 deletion b/‎paddle/fluid/eager/api/manual/eager_manual/forwards/add_n_fwd_func.cc
Copy file name to clipboard
+1-1Lines changed: 1 addition & 1 deletion
diff --git a/‎paddle/fluid/eager/api/manual/eager_manual/forwards/conv2d_fwd_function.cc
Copy file name to clipboard
+8-8Lines changed: 8 additions & 8 deletions b/‎paddle/fluid/eager/api/manual/eager_manual/forwards/conv2d_fwd_function.cc
Copy file name to clipboard
+8-8Lines changed: 8 additions & 8 deletions
diff --git a/‎paddle/fluid/eager/api/manual/eager_manual/forwards/multiply_fwd_func.cc
Copy file name to clipboard
+14-14Lines changed: 14 additions & 14 deletions b/‎paddle/fluid/eager/api/manual/eager_manual/forwards/multiply_fwd_func.cc
Copy file name to clipboard
+14-14Lines changed: 14 additions & 14 deletions
diff --git a/‎paddle/fluid/eager/api/manual/eager_manual/forwards/reshard_fwd_func.cc
Copy file name to clipboard
+1-1Lines changed: 1 addition & 1 deletion b/‎paddle/fluid/eager/api/manual/eager_manual/forwards/reshard_fwd_func.cc
Copy file name to clipboard
+1-1Lines changed: 1 addition & 1 deletion
diff --git a/‎paddle/fluid/eager/api/manual/eager_manual/forwards/sync_batch_norm_fwd_func.cc
Copy file name to clipboard
+24-24Lines changed: 24 additions & 24 deletions b/‎paddle/fluid/eager/api/manual/eager_manual/forwards/sync_batch_norm_fwd_func.cc
Copy file name to clipboard
+24-24Lines changed: 24 additions & 24 deletions
diff --git a/‎paddle/fluid/eager/api/manual/eager_manual/nodes/conv2d_nodes.cc
Copy file name to clipboard
+9-9Lines changed: 9 additions & 9 deletions b/‎paddle/fluid/eager/api/manual/eager_manual/nodes/conv2d_nodes.cc
Copy file name to clipboard
+9-9Lines changed: 9 additions & 9 deletions
diff --git a/‎paddle/fluid/eager/api/manual/eager_manual/nodes/multiply_node.cc
Copy file name to clipboard
+4-4Lines changed: 4 additions & 4 deletions b/‎paddle/fluid/eager/api/manual/eager_manual/nodes/multiply_node.cc
Copy file name to clipboard
+4-4Lines changed: 4 additions & 4 deletions
@@ -94,7 +94,7 @@ paddle::Tensor add_n_ad_func(const std::vector<paddle::Tensor>& x) {
     // SetAttributes if needed
 
     // Set TensorWrappers for Forward Inputs if needed
-    grad_node->SetTensorWrapperx(x);
+    grad_node->SetTensorWrapper_x(x);
     // SetGradOutMeta & SetEdges
     grad_node->SetGradOutMeta(x, 0);
     // SetOutRank & SetHistory & SetGradInMeta & RetainGrad
 
@@ -146,15 +146,15 @@ paddle::Tensor conv2d_ad_func(const paddle::Tensor& input,
     }
 
     // SetAttributes if needed
-    grad_node->SetAttributestrides(strides);
-    grad_node->SetAttributepaddings(paddings);
-    grad_node->SetAttributepadding_algorithm(padding_algorithm);
-    grad_node->SetAttributegroups(groups);
-    grad_node->SetAttributedilations(dilations);
-    grad_node->SetAttributedata_format(data_format);
+    grad_node->SetAttribute_strides(strides);
+    grad_node->SetAttribute_paddings(paddings);
+    grad_node->SetAttribute_padding_algorithm(padding_algorithm);
+    grad_node->SetAttribute_groups(groups);
+    grad_node->SetAttribute_dilations(dilations);
+    grad_node->SetAttribute_data_format(data_format);
     // Set TensorWrappers for Forward Inputs if needed
-    grad_node->SetTensorWrapperinput(input);
-    grad_node->SetTensorWrapperfilter(filter);
+    grad_node->SetTensorWrapper_input(input);
+    grad_node->SetTensorWrapper_filter(filter);
     // SetGradOutMeta & SetEdges
     grad_node->SetGradOutMeta(input, 0);
     grad_node->SetGradOutMeta(filter, 1);
 
@@ -157,25 +157,25 @@ paddle::Tensor multiply_ad_func(const paddle::Tensor& x,
       grad_node->SetForwardTrace(egr::Controller::Instance().GetPythonStack());
     }
     // SetAttributes if needed
-    grad_node->SetAttributeaxis(-1);
+    grad_node->SetAttribute_axis(-1);
     if (paddle::platform::is_gpu_place(x.place())) {
       if (x_autograd_meta != nullptr && x_autograd_meta->StopGradient() &&
           y_autograd_meta != nullptr && !y_autograd_meta->StopGradient()) {
-        grad_node->SetTensorWrapperx(x);
-        grad_node->SetTensorWrapperNoNeedBuffery(y);
+        grad_node->SetTensorWrapper_x(x);
+        grad_node->SetTensorWrapperNoNeedBuffer_y(y);
       } else if (x_autograd_meta != nullptr &&
                  !x_autograd_meta->StopGradient() &&
                  y_autograd_meta != nullptr &&
                  y_autograd_meta->StopGradient()) {
-        grad_node->SetTensorWrapperNoNeedBufferx(x);
-        grad_node->SetTensorWrappery(y);
+        grad_node->SetTensorWrapperNoNeedBuffer_x(x);
+        grad_node->SetTensorWrapper_y(y);
       } else {
-        grad_node->SetTensorWrapperx(x);
-        grad_node->SetTensorWrappery(y);
+        grad_node->SetTensorWrapper_x(x);
+        grad_node->SetTensorWrapper_y(y);
       }
     } else {
-      grad_node->SetTensorWrapperx(x);
-      grad_node->SetTensorWrappery(y);
+      grad_node->SetTensorWrapper_x(x);
+      grad_node->SetTensorWrapper_y(y);
     }
     // SetGradOutMeta & SetEdges
     grad_node->SetGradOutMeta(x, 0);
@@ -300,11 +300,11 @@ paddle::Tensor& multiply__ad_func(paddle::Tensor& x,  // NOLINT
       grad_node->SetForwardTrace(egr::Controller::Instance().GetPythonStack());
     }
     // SetAttributes if needed
-    grad_node->SetAttributeaxis(-1);
+    grad_node->SetAttribute_axis(-1);
     // Set TensorWrappers for Forward Inputs if needed
     auto x_clone = paddle::experimental::assign(x);
-    grad_node->SetTensorWrapperx(x_clone);
-    grad_node->SetTensorWrappery(y);
+    grad_node->SetTensorWrapper_x(x_clone);
+    grad_node->SetTensorWrapper_y(y);
   }
 
   // Forward API Call
@@ -505,8 +505,8 @@ paddle::Tensor multiply_ad_func(const paddle::Tensor& x,
     // SetAttributes if needed
 
     // Set TensorWrappers for Forward Inputs if needed
-    grad_node->SetTensorWrapperx(x);
-    grad_node->SetTensorWrappery(y);
+    grad_node->SetTensorWrapper_x(x);
+    grad_node->SetTensorWrapper_y(y);
     // SetGradOutMeta & SetEdges
     grad_node->SetGradOutMeta(x, 0);
     grad_node->SetGradOutMeta(y, 1);
 
@@ -50,7 +50,7 @@ paddle::Tensor reshard_ad_function(
         std::shared_ptr<ReshardGradNode>(new ReshardGradNode(1, 1));  // NOLINT
 
     // Set TensorWrappers for Forward Inputs if needed
-    grad_node->SetTensorWrapperNoNeedBufferInput(input);
+    grad_node->SetTensorWrapperNoNeedBuffer_Input(input);
   }
 
   // Forward API Call
 
@@ -235,16 +235,16 @@ sync_batch_norm__ad_func(const paddle::Tensor& x,
 
     egr::Controller::Instance().PushBackForceSequentialNodes(grad_node.get());
     // SetAttributes if needed
-    grad_node->SetAttributemomentum(momentum);
-    grad_node->SetAttributeepsilon(epsilon);
-    grad_node->SetAttributedata_layout(data_layout);
-    grad_node->SetAttributeis_test(is_test);
-    grad_node->SetAttributeuse_global_stats(use_global_stats);
-    grad_node->SetAttributetrainable_statistics(trainable_statistics);
+    grad_node->SetAttribute_momentum(momentum);
+    grad_node->SetAttribute_epsilon(epsilon);
+    grad_node->SetAttribute_data_layout(data_layout);
+    grad_node->SetAttribute_is_test(is_test);
+    grad_node->SetAttribute_use_global_stats(use_global_stats);
+    grad_node->SetAttribute_trainable_statistics(trainable_statistics);
     // Set TensorWrappers for Forward Inputs if needed
-    grad_node->SetTensorWrapperx(x);
-    grad_node->SetTensorWrapperscale(scale);
-    grad_node->SetTensorWrapperbias(bias);
+    grad_node->SetTensorWrapper_x(x);
+    grad_node->SetTensorWrapper_scale(scale);
+    grad_node->SetTensorWrapper_bias(bias);
     // SetGradOutMeta & SetEdges
     grad_node->SetGradOutMeta(x, 0);
     grad_node->SetGradOutMeta(scale, 3);
@@ -293,9 +293,9 @@ sync_batch_norm__ad_func(const paddle::Tensor& x,
     grad_node->SetGradInMeta(saved_variance, 4);
     grad_node->SetGradInMeta(reserve_space, 5);
     // Set TensorWrappers for Forward Outputs if needed
-    grad_node->SetTensorWrappersaved_mean(saved_mean);
-    grad_node->SetTensorWrappersaved_variance(saved_variance);
-    grad_node->SetTensorWrapperreserve_space(reserve_space);
+    grad_node->SetTensorWrapper_saved_mean(saved_mean);
+    grad_node->SetTensorWrapper_saved_variance(saved_variance);
+    grad_node->SetTensorWrapper_reserve_space(reserve_space);
   }
 
   VLOG(4) << "Finish AD API: sync_batch_norm_";
@@ -571,16 +571,16 @@ sync_batch_norm__ad_func(const paddle::Tensor& x,
         new SyncBatchNormGradNode(6, 5));
     egr::Controller::Instance().PushBackForceSequentialNodes(grad_node.get());
     // SetAttributes if needed
-    grad_node->SetAttributemomentum(momentum);
-    grad_node->SetAttributeepsilon(epsilon);
-    grad_node->SetAttributedata_layout(data_layout);
-    grad_node->SetAttributeis_test(is_test);
-    grad_node->SetAttributeuse_global_stats(use_global_stats);
-    grad_node->SetAttributetrainable_statistics(trainable_statistics);
+    grad_node->SetAttribute_momentum(momentum);
+    grad_node->SetAttribute_epsilon(epsilon);
+    grad_node->SetAttribute_data_layout(data_layout);
+    grad_node->SetAttribute_is_test(is_test);
+    grad_node->SetAttribute_use_global_stats(use_global_stats);
+    grad_node->SetAttribute_trainable_statistics(trainable_statistics);
     // Set TensorWrappers for Forward Inputs if needed
-    grad_node->SetTensorWrapperx(x);
-    grad_node->SetTensorWrapperscale(scale);
-    grad_node->SetTensorWrapperbias(bias);
+    grad_node->SetTensorWrapper_x(x);
+    grad_node->SetTensorWrapper_scale(scale);
+    grad_node->SetTensorWrapper_bias(bias);
     // SetGradOutMeta & SetEdges
     grad_node->SetGradOutMeta(x, 0);
     grad_node->SetGradOutMeta(scale, 3);
@@ -629,9 +629,9 @@ sync_batch_norm__ad_func(const paddle::Tensor& x,
     grad_node->SetGradInMeta(saved_variance, 4);
     grad_node->SetGradInMeta(reserve_space, 5);
     // Set TensorWrappers for Forward Outputs if needed
-    grad_node->SetTensorWrappersaved_mean(saved_mean);
-    grad_node->SetTensorWrappersaved_variance(saved_variance);
-    grad_node->SetTensorWrapperreserve_space(reserve_space);
+    grad_node->SetTensorWrapper_saved_mean(saved_mean);
+    grad_node->SetTensorWrapper_saved_variance(saved_variance);
+    grad_node->SetTensorWrapper_reserve_space(reserve_space);
   }
 
   VLOG(4) << "Finish AD API: sync_batch_norm_";
 
@@ -126,16 +126,16 @@ Conv2dGradNodeFinal::operator()(
     auto grad_node = std::shared_ptr<Conv2dDoubleGradNodeFinal>(  // NOLINT
         new Conv2dDoubleGradNodeFinal(2, 3));
     // SetAttributes if needed
-    grad_node->SetAttributestrides(strides);
-    grad_node->SetAttributepaddings(paddings);
-    grad_node->SetAttributepadding_algorithm(padding_algorithm);
-    grad_node->SetAttributegroups(groups);
-    grad_node->SetAttributedilations(dilations);
-    grad_node->SetAttributedata_format(data_format);
+    grad_node->SetAttribute_strides(strides);
+    grad_node->SetAttribute_paddings(paddings);
+    grad_node->SetAttribute_padding_algorithm(padding_algorithm);
+    grad_node->SetAttribute_groups(groups);
+    grad_node->SetAttribute_dilations(dilations);
+    grad_node->SetAttribute_data_format(data_format);
     // Set TensorWrappers for Forward Inputs if needed
-    grad_node->SetTensorWrapperinput(input);
-    grad_node->SetTensorWrapperfilter(filter);
-    grad_node->SetTensorWrappergrad_out(grad_out);
+    grad_node->SetTensorWrapper_input(input);
+    grad_node->SetTensorWrapper_filter(filter);
+    grad_node->SetTensorWrapper_grad_out(grad_out);
     // SetGradOutMeta & SetEdges
     if (grad_filter_autograd_meta) {
       grad_node->SetGradOutMeta(input, 0);
 
@@ -167,11 +167,11 @@ MultiplyGradNode::operator()(
       auto grad_node = std::shared_ptr<MultiplyDoubleGradNode>(  // NOLINT
           new MultiplyDoubleGradNode(2, 3));
       // SetAttributes if needed
-      grad_node->SetAttributeaxis(axis);
+      grad_node->SetAttribute_axis(axis);
       // Set TensorWrappers for Forward Inputs if needed
-      grad_node->SetTensorWrapperx(x);
-      grad_node->SetTensorWrappery(y);
-      grad_node->SetTensorWrappergrad_out(grad_out);
+      grad_node->SetTensorWrapper_x(x);
+      grad_node->SetTensorWrapper_y(y);
+      grad_node->SetTensorWrapper_grad_out(grad_out);
       // SetGradOutMeta & SetEdges
       grad_node->SetGradOutMeta(x, 0);
       grad_node->SetGradOutMeta(y, 1);
Original file line number	Diff line number	Diff line change
`@@ -50,7 +50,7 @@ paddle::Tensor reshard_ad_function(`
`50`	`50`	`std::shared_ptr<ReshardGradNode>(new ReshardGradNode(1, 1)); // NOLINT`
`51`	`51`
`52`	`52`	`// Set TensorWrappers for Forward Inputs if needed`
`53`		`- grad_node->SetTensorWrapperNoNeedBufferInput(input);`
	`53`	`+ grad_node->SetTensorWrapperNoNeedBuffer_Input(input);`
`54`	`54`	`}`
`55`	`55`
`56`	`56`	`// Forward API Call`