chore: import upstream snapshot with attribution

2026-07-13 12:40:42 +08:00
commit e25996e7db
15472 changed files with 3536181 additions and 0 deletions
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+// 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 <sstream>
+
+#include "glog/logging.h"
+#include "gtest/gtest.h"
+#include "paddle/fluid/eager/accumulation/accumulation_node.h"
+#include "paddle/fluid/eager/api/all.h"
+#include "paddle/fluid/eager/api/generated/eager_generated/backwards/scale_node.h"
+#include "paddle/fluid/eager/autograd_meta.h"
+#include "paddle/fluid/eager/backward.h"
+#include "paddle/fluid/eager/grad_node_info.h"
+#include "paddle/phi/core/dense_tensor.h"
+#include "paddle/phi/core/kernel_registry.h"
+#include "paddle/phi/core/tensor_meta.h"
+#include "test/cpp/eager/test_utils.h"
+
+PD_DECLARE_KERNEL(full, CPU, ALL_LAYOUT);
+
+namespace egr {
+
+TEST(CrossBatchAccumulation, SingleScaleNode) {
+  eager_test::InitEnv(phi::CPUPlace());
+
+  std::vector<paddle::Tensor> target_tensors;
+  phi::DDim ddim = common::make_ddim({4, 16, 16, 32});
+
+  paddle::Tensor tensor =
+      eager_test::CreateTensorWithValue(ddim,
+                                        phi::CPUPlace(),
+                                        phi::DataType::FLOAT32,
+                                        phi::DataLayout::NCHW,
+                                        1.0 /*value*/,
+                                        false /*is_leaf*/);
+  target_tensors.emplace_back(std::move(tensor));
+  paddle::Tensor& target_tensor = target_tensors[0];
+
+  paddle::Tensor leaf_tensor = paddle::Tensor();
+
+  auto scale_node_ptr = std::make_shared<GradNodeScale>(1, 1);
+  scale_node_ptr->SetAttributes_scale(5.0 /*scale*/);
+
+  scale_node_ptr->SetDefaultGradInOutMeta();
+
+  AutogradMeta* auto_grad_meta = EagerUtils::autograd_meta(&target_tensor);
+  auto_grad_meta->SetGradNode(
+      std::dynamic_pointer_cast<GradNodeBase>(scale_node_ptr));
+  auto_grad_meta->SetSingleOutRankWithSlot(0, 0);
+  auto_grad_meta->SetStopGradient(false);
+  egr_utils_api::RetainGradForTensor(target_tensor);  // result: 1.0
+
+  AutogradMeta* meta = EagerUtils::autograd_meta(&leaf_tensor);
+  auto acc_node_ptr = std::make_shared<GradNodeAccumulation>(leaf_tensor);
+  meta->SetStopGradient(false);
+  meta->SetSingleOutRankWithSlot(0, 0);
+  meta->SetGradNode(acc_node_ptr);
+  std::vector<egr::AutogradMeta*> res = {meta};
+  scale_node_ptr->SetGradOutMeta(leaf_tensor, 0);
+
+  Backward(target_tensors, {});
+
+  eager_test::CompareGradTensorWithValue<float>(target_tensor, 1.0);
+  eager_test::CompareGradTensorWithValue<float>(leaf_tensor, 5.0);
+
+  Backward(target_tensors, {});
+
+  eager_test::CompareGradTensorWithValue<float>(target_tensor, 1.0);
+  eager_test::CompareGradTensorWithValue<float>(leaf_tensor, 10.0);
+}
+
+}  // namespace egr