Added GradTensorHolder to Eager Dygraph (#37458)

* Added GradTensorHolder to Eager Dygraph

* Added accumulation codes to Eager Dygraph

* Fix windows-ci issue

* Fix NPU-CI issue

* Fixed CI-Coverage issue

paddle/fluid/eager/CMakeLists.txt

@@ -1,5 +1,8 @@
+add_subdirectory(accumulation)
 add_subdirectory(api)
 add_subdirectory(tests)
+
 cc_library(grad_node_info SRCS grad_node_info.cc DEPS pten pten_api)
 cc_library(autograd_meta SRCS autograd_meta.cc DEPS pten pten_api)
+cc_library(grad_tensor_holder SRCS grad_tensor_holder.cc DEPS grad_node_info gradient_accumulation)
 cc_library(utils SRCS utils.cc DEPS pten pten_api global_utils layer proto_desc operator op_registry variable_helper memcpy scale_op autograd_meta)

paddle/fluid/eager/accumulation/CMakeLists.txt

@@ -0,0 +1,2 @@
+cc_library(gradient_accumulation SRCS gradient_accumulation.cc DEPS blas pten pten_api var_type_traits layer math_function)
+cc_library(accumulation_node SRCS accumulation_node.cc DEPS gradient_accumulation pten pten_api grad_node_info)

paddle/fluid/eager/accumulation/accumulation_node.cc

@@ -0,0 +1,81 @@
+// Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+#include "paddle/fluid/eager/accumulation/accumulation_node.h"
+#include "paddle/fluid/eager/accumulation/gradient_accumulation.h"
+#include "paddle/fluid/eager/eager_tensor.h"
+
+#include "paddle/pten/api/all.h"
+#include "paddle/pten/core/dense_tensor.h"
+#include "paddle/pten/include/core.h"
+
+#include "paddle/fluid/platform/device_context.h"
+#include "paddle/fluid/platform/enforce.h"
+#include "paddle/fluid/platform/errors.h"
+
+#include "glog/logging.h"
+
+static void CopyOrAddTensor(egr::EagerTensor* tensor,
+                            const egr::EagerTensor& t) {
+  if (!tensor->defined() || !tensor->initialized()) {
+    // Simply copy tensor->impl
+    *tensor = t;
+  } else {
+    // Accumulation
+    egr::TensorAdd(t, tensor);
+  }
+}
+
+namespace egr {
+
+void GradNodeAccumulation::RetainGrad(
+    const std::function<egr::EagerTensor(const egr::EagerTensor&)>& hook) {
+  retain_grad_hook_ = hook;
+}
+
+std::vector<std::vector<egr::EagerTensor>> GradNodeAccumulation::operator()(
+    const std::vector<std::vector<egr::EagerTensor>>& grads) {
+  PADDLE_ENFORCE(grads.size() == 1,
+                 paddle::platform::errors::Fatal(
+                     "GradNodeAccumulation should take exactly 1 grad tensor"
+                     "However received: %d slot.",
+                     grads.size()));
+  PADDLE_ENFORCE(grads[0].size() == 1,
+                 paddle::platform::errors::Fatal(
+                     "GradNodeAccumulation should take exactly 1 grad tensor"
+                     "However received: %d in slot %d .",
+                     grads[0].size(), 0));
+  // Apply Gradient Hooks
+  if (GradientHooksRegistered()) {
+    std::vector<std::vector<egr::EagerTensor>> hooked_grads =
+        ApplyGradientHooks(grads);
+    // TODO(jiabin): It's little weird
+    CopyOrAddTensor(&accumulated_grad, hooked_grads[0][0]);
+  } else {
+    CopyOrAddTensor(&accumulated_grad, grads[0][0]);
+  }
+
+  if (retain_grad_hook_ != nullptr) {
+    retain_grad_hook_(accumulated_grad);
+  }
+
+  // Apply Reduce Hooks
+  if (ReduceHooksRegistered()) {
+    ApplyReduceHooks();
+  }
+
+  return {{accumulated_grad}};
+}
+
+}  // namespace egr

paddle/fluid/eager/accumulation/accumulation_node.h

@@ -0,0 +1,41 @@
+// Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+#pragma once
+
+#include "paddle/fluid/eager/grad_node_info.h"
+
+namespace egr {
+
+class GradNodeAccumulation : public GradNodeBase {
+ public:
+  // Constructor: configure fwd input tensors to grad node
+  GradNodeAccumulation() : GradNodeBase(1, 1) { SetDefaultGradInOutMeta(); }
+
+  ~GradNodeAccumulation() override = default;
+
+  // Functor: perform backward computations
+  virtual std::vector<std::vector<egr::EagerTensor>> operator()(
+      const std::vector<std::vector<egr::EagerTensor>>& grads) override;
+
+  void RetainGrad(
+      const std::function<egr::EagerTensor(const egr::EagerTensor&)>& hook);
+
+ private:
+  egr::EagerTensor accumulated_grad;
+
+  std::function<egr::EagerTensor(const egr::EagerTensor&)> retain_grad_hook_;
+};
+
+}  // namespace egr