[Eager Hook] Support ReduceHook in GradNodeAccumulation

paddle/fluid/eager/accumulation/accumulation_node.cc

@@ -79,4 +79,14 @@ operator()(
   return {{accumulated_grad}};
 }
 
+void GradNodeAccumulation::RegisterReduceHook(
+    const std::function<void(void)>& hook) {
+  reduce_hooks_.emplace_back(hook);
+}
+
+void GradNodeAccumulation::ApplyReduceHooks() {
+  for (auto& hook : reduce_hooks_) {
+    hook();
+  }
+}
 }  // namespace egr

paddle/fluid/eager/accumulation/accumulation_node.h

@@ -35,12 +35,25 @@ class GradNodeAccumulation : public GradNodeBase {
 
   paddle::experimental::Tensor* Grad() { return &accumulated_grad; }
 
+  /**
+   * Register ReduceHook
+   * **/
+  void RegisterReduceHook(const std::function<void(void)>& hook);
+
+  /**
+   * Apply ReduceHook here
+   * **/
+  inline bool ReduceHooksRegistered() { return reduce_hooks_.size() != 0; }
+  void ApplyReduceHooks();
+
  private:
   paddle::experimental::Tensor accumulated_grad;
 
   std::function<paddle::experimental::Tensor(
       const paddle::experimental::Tensor&)>
       retain_grad_hook_;
+
+  std::vector<std::function<void(void)>> reduce_hooks_;
 };
 
 }  // namespace egr

paddle/fluid/eager/api/generated/eager_generated/backwards/scale_node.cc

@@ -171,10 +171,6 @@ operator()(
              &out);
   }
 
-  // Apply Reduce Hooks
-  if (ReduceHooksRegistered()) {
-    ApplyReduceHooks();
-  }
   return {{out}};
 }
 

paddle/fluid/eager/api/utils/hook_utils.cc

@@ -35,10 +35,21 @@ void RegisterGradientHookForTensor(
 
 void RegisterReduceHookForTensor(const paddle::experimental::Tensor& tensor,
                                  const std::function<void(void)>& hook) {
-  // Find grad_node and out_rank from AutogradMeta
-  std::shared_ptr<GradNodeBase> grad_node = EagerUtils::grad_node(tensor);
-
-  grad_node->RegisterReduceHook(hook);
+  if (IsLeafTensor(tensor)) {
+    VLOG(6) << "Register ReduceHook for leaf tensor";
+    std::shared_ptr<GradNodeBase> grad_node = EagerUtils::grad_node(tensor);
+    PADDLE_ENFORCE(
+        grad_node.get() != nullptr,
+        paddle::platform::errors::Fatal("Detected NULL grad_node,"
+                                        "Leaf tensor should have had grad_node "
+                                        "with type: GradNodeAccumulation"));
+    auto accumulation_grad_node =
+        std::dynamic_pointer_cast<GradNodeAccumulation>(grad_node);
+    accumulation_grad_node->RegisterReduceHook(hook);
+  } else {
+    PADDLE_THROW(paddle::platform::errors::Fatal(
+        "Only can register reduce hook for leaf Tensor."));
+  }
 }
 
 void RetainGradForTensor(const paddle::experimental::Tensor& tensor) {

paddle/fluid/eager/grad_node_info.cc

@@ -214,10 +214,6 @@ void GradNodeBase::RegisterGradientHook(
   gradient_hooks_.emplace_back(std::make_tuple(slot_id, rank, hook));
 }
 
-void GradNodeBase::RegisterReduceHook(const std::function<void(void)>& hook) {
-  reduce_hooks_.emplace_back(hook);
-}
-
 std::vector<std::vector<paddle::experimental::Tensor>>
 GradNodeBase::ApplyGradientHooks(
     const std::vector<std::vector<paddle::experimental::Tensor>>& tensors) {
@@ -267,9 +263,4 @@ GradNodeBase::ApplyGradientHooks(
   return outs;
 }
 
-void GradNodeBase::ApplyReduceHooks() {
-  for (auto& hook : reduce_hooks_) {
-    hook();
-  }
-}
 }  // namespace egr

paddle/fluid/eager/grad_node_info.h

@@ -133,22 +133,19 @@ class GradNodeBase {
    * **/
   void SetDefaultGradInOutMeta();
   /**
-   * Register GradientHook or ReduceHook
+   * Register GradientHook
    * **/
   void RegisterGradientHook(size_t slot_id, size_t rank,
                             const std::function<paddle::experimental::Tensor(
                                 const paddle::experimental::Tensor&)>& hook);
-  void RegisterReduceHook(const std::function<void(void)>& hook);
 
   /**
-   * Apply GradientHook or ReduceHook
+   * Apply GradientHook
    * **/
   inline bool GradientHooksRegistered() { return gradient_hooks_.size() != 0; }
-  inline bool ReduceHooksRegistered() { return reduce_hooks_.size() != 0; }
 
   std::vector<std::vector<paddle::experimental::Tensor>> ApplyGradientHooks(
       const std::vector<std::vector<paddle::experimental::Tensor>>& tensors);
-  void ApplyReduceHooks();
 
  private:
   // TODO(jiabin): Use SmallVector instead after merge PR from develop
@@ -173,7 +170,6 @@ class GradNodeBase {
       /* hook */ std::function<paddle::experimental::Tensor(
           const paddle::experimental::Tensor&)>>>
       gradient_hooks_;
-  std::vector<std::function<void(void)>> reduce_hooks_;
 };
 
 class Edge {

paddle/fluid/eager/tests/data_structure_tests/accumulation_node_test.cc

@@ -61,7 +61,7 @@ TEST(AccumulationNode, Tensor) {
   // AccumulationNode
   GradNodeAccumulation node = GradNodeAccumulation();
 
-  // Hook
+  // Hook, RetainGrad
   std::function<paddle::experimental::Tensor(
       const paddle::experimental::Tensor&)>
       hook = [&grad_et](const paddle::experimental::Tensor& t) {
@@ -88,4 +88,46 @@ TEST(AccumulationNode, Tensor) {
       std::dynamic_pointer_cast<pten::DenseTensor>(grad_et.impl())
           ->data<paddle::platform::float16>();
   CHECK_EQ(ret_grad_et_ptr[0], paddle::platform::float16(30.0f));
+
+  // Reduce Hook case 1: Call RegisterReduceHook and run operator()
+  VLOG(6) << "Test Reduce Hook";
+  auto reduce_hook_1 = [&](void) -> void {
+    auto* grad_et_ptr =
+        std::dynamic_pointer_cast<pten::DenseTensor>(grad_et.impl())
+            ->data<paddle::platform::float16>();
+    grad_et_ptr[0] = 36.0;
+    VLOG(6) << "Running Reduce Hook";
+  };
+
+  node.RegisterReduceHook(reduce_hook_1);
+
+  // operator()
+  paddle::experimental::Tensor _ret = node({{et0}})[0][0];
+
+  // Check operator() result, should be 36.0
+  auto* _ret_ptr = std::dynamic_pointer_cast<pten::DenseTensor>(_ret.impl())
+                       ->data<paddle::platform::float16>();
+  CHECK_EQ(_ret_ptr[0], paddle::platform::float16(36.0f));
+
+  // Check Retain Grad, should be 36.0
+  auto* _ret_grad_et_ptr =
+      std::dynamic_pointer_cast<pten::DenseTensor>(grad_et.impl())
+          ->data<paddle::platform::float16>();
+  CHECK_EQ(_ret_grad_et_ptr[0], paddle::platform::float16(36.0f));
+
+  // Reduce Hook case 2: Call RegisterReduceHook and ApplyReduceHooks directly
+  VLOG(6) << "Test Reduce Hook";
+  auto reduce_hook_2 = [&](void) -> void {
+    auto* ret_et0_ptr = std::dynamic_pointer_cast<pten::DenseTensor>(et0.impl())
+                            ->data<paddle::platform::float16>();
+    ret_et0_ptr[0] = 100.0;  // set to 100.0
+    VLOG(6) << "Running Reduce Hook";
+  };
+  node.RegisterReduceHook(reduce_hook_2);
+  node.ApplyReduceHooks();
+
+  // Check ApplyReduceHooks result
+  CHECK_EQ(std::dynamic_pointer_cast<pten::DenseTensor>(et0.impl())
+               ->data<paddle::platform::float16>()[0],
+           paddle::platform::float16(100.0f));
 }

paddle/fluid/eager/tests/data_structure_tests/grad_node_info_test.cc

@@ -119,19 +119,6 @@ TEST(GradNodeInfo, GradNodeBase) {
       std::dynamic_pointer_cast<pten::DenseTensor>(grad_hook_res[0][0].impl())
           ->data<float>()[0],
       11.0);
-
-  VLOG(6) << "Test Reduce Hook";
-  auto reduce_hook = [&](void) -> void {
-    auto* et_ptr =
-        std::dynamic_pointer_cast<pten::DenseTensor>(et1.impl())->data<float>();
-    et_ptr[0] = 100.0;
-    VLOG(6) << "Running Reduce Hook";
-  };
-  grad_test_node0->RegisterReduceHook(reduce_hook);
-  grad_test_node0->ApplyReduceHooks();
-  CHECK_EQ(std::dynamic_pointer_cast<pten::DenseTensor>(et1.impl())
-               ->data<float>()[0],
-           100.0);
 }
 
 TEST(GradNodeInfo, Edge) {

paddle/fluid/eager/tests/task_tests/hook_test_intermidiate.cc

@@ -73,12 +73,24 @@ TEST(Hook_intermidiate, Sigmoid) {
       const paddle::experimental::Tensor&)>
       hook = &hook_function;
 
+  VLOG(6) << "Make ReduceHook function";
+  auto reduce_hook = [&](void) -> void {
+    auto* t_ptr = std::dynamic_pointer_cast<pten::DenseTensor>(tensor.impl())
+                      ->data<float>();
+    for (int i = 0; i < tensor.numel(); i++) {
+      t_ptr[i] = 100.0;  // set to 100.0
+    }
+  };
+
   VLOG(6) << "Retain Grad for Tensor";
   egr_utils_api::RetainGradForTensor(tensor);
 
   VLOG(6) << "Register GradientHook for Tensor";
   egr_utils_api::RegisterGradientHookForTensor(tensor, hook);
 
+  VLOG(6) << "Register ReduceHook for Tensor";
+  egr_utils_api::RegisterReduceHookForTensor(tensor, reduce_hook);
+
   VLOG(6) << "Runing Forward";
   auto output_tensor = sigmoid_dygraph_function(tensor, {});
   VLOG(6) << "Finish Forward";
@@ -92,6 +104,13 @@ TEST(Hook_intermidiate, Sigmoid) {
   VLOG(6) << "Finish Backward";
 
   eager_test::CompareGradTensorWithValue<float>(tensor, 0.25 + 3);
+
+  VLOG(6) << "Checking ReduceHook results";
+  for (int i = 0; i < tensor.numel(); i++) {
+    CHECK_EQ(std::dynamic_pointer_cast<pten::DenseTensor>(tensor.impl())
+                 ->data<float>()[i],
+             static_cast<float>(100.0f));
+  }
   VLOG(6) << "After Tests";
 }
 
@@ -118,8 +137,17 @@ TEST(Hook_intermidiate, ElementwiseAdd) {
       const paddle::experimental::Tensor&)>
       hook = &hook_function;
 
+  auto reduce_hook = [&](void) -> void {
+    auto* t_ptr =
+        std::dynamic_pointer_cast<pten::DenseTensor>(Y.impl())->data<float>();
+    for (int i = 0; i < Y.numel(); i++) {
+      t_ptr[i] = 100.0;  // set to 100.0
+    }
+  };
+
   egr_utils_api::RetainGradForTensor(Y);
   egr_utils_api::RegisterGradientHookForTensor(Y, hook);
+  egr_utils_api::RegisterReduceHookForTensor(Y, reduce_hook);
 
   auto output_tensor = elementwise_add_dygraph_function(X, Y, {});
 
@@ -130,6 +158,13 @@ TEST(Hook_intermidiate, ElementwiseAdd) {
 
   eager_test::CompareGradTensorWithValue<float>(X, 1.0);
   eager_test::CompareGradTensorWithValue<float>(Y, 4.0);
+
+  // Checking ReduceHook results
+  for (int i = 0; i < Y.numel(); i++) {
+    CHECK_EQ(std::dynamic_pointer_cast<pten::DenseTensor>(Y.impl())
+                 ->data<float>()[i],
+             static_cast<float>(100.0f));
+  }
 }
 
 TEST(Hook_intermidiate, Matmul_v2) {
@@ -155,8 +190,17 @@ TEST(Hook_intermidiate, Matmul_v2) {
       const paddle::experimental::Tensor&)>
       hook = &hook_function;
 
+  auto reduce_hook = [&](void) -> void {
+    auto* t_ptr =
+        std::dynamic_pointer_cast<pten::DenseTensor>(Y.impl())->data<float>();
+    for (int i = 0; i < Y.numel(); i++) {
+      t_ptr[i] = 100.0;  // set to 100.0
+    }
+  };
+
   egr_utils_api::RetainGradForTensor(Y);
   egr_utils_api::RegisterGradientHookForTensor(Y, hook);
+  egr_utils_api::RegisterReduceHookForTensor(Y, reduce_hook);
 
   auto output_tensor = matmul_v2_dygraph_function(
       X, Y, {{"trans_x", false}, {"trans_y", false}});
@@ -168,8 +212,14 @@ TEST(Hook_intermidiate, Matmul_v2) {
 
   eager_test::CompareGradTensorWithValue<float>(X, 2.0 * 20);
   eager_test::CompareGradTensorWithValue<float>(Y, 3.0 * 4 + 3);
-}
 
+  // Checking ReduceHook results
+  for (int i = 0; i < Y.numel(); i++) {
+    CHECK_EQ(std::dynamic_pointer_cast<pten::DenseTensor>(Y.impl())
+                 ->data<float>()[i],
+             static_cast<float>(100.0f));
+  }
+}
 }  // namespace egr
 
 USE_OP(sigmoid);