chore: import upstream snapshot with attribution

test/cpp/fluid/elementwise/test_elementwise_add_grad_grad.cc

@@ -0,0 +1,83 @@
+// Copyright (c) 2019 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 "gtest/gtest.h"
+#include "paddle/common/ddim.h"
+#include "paddle/fluid/framework/op_registry.h"
+#include "paddle/phi/common/place.h"
+#include "paddle/phi/core/kernel_registry.h"
+#include "test/cpp/fluid/elementwise/test_elementwise_op_grad_grad.h"
+
+USE_OP_ITSELF(elementwise_add);
+PD_DECLARE_KERNEL(add_double_grad, CPU, ALL_LAYOUT);
+#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
+PD_DECLARE_KERNEL(add_double_grad, GPU, ALL_LAYOUT);
+#endif
+
+namespace paddle {
+namespace operators {
+
+template <typename T>
+class TestElementwiseAddGradGradWithoutDDX
+    : public TestElementwiseOpGradGrad<T> {
+ public:
+  TestElementwiseAddGradGradWithoutDDX(const phi::Place &place,
+                                       const phi::DDim &dims)
+      : TestElementwiseOpGradGrad<T>("elementwise_add_grad_grad",
+                                     place,
+                                     dims,
+                                     {"Y", "DOut", "DDY"},
+                                     {"DDOut"}) {}
+
+  using TestElementwiseOpGradGrad<T>::feed_datas_;
+  using TestElementwiseOpGradGrad<T>::expected_outs_;
+  using TestElementwiseOpGradGrad<T>::dims_;
+  void ComputeExpectedOuts() override {
+    size_t numel = static_cast<size_t>(common::product(dims_));
+    std::vector<T> dy(numel);
+    std::vector<T> ddout(numel);
+    for (size_t i = 0; i < numel; ++i) {
+      // ddOut = ddX + ddY = ddY if ddX empty
+      ddout[i] = feed_datas_["DDY"][i];
+    }
+    expected_outs_["DDOut"] = ddout;
+  }
+
+  std::unique_ptr<framework::OperatorBase> CreateTestOp() override {
+    auto op = framework::OpRegistry::CreateOp(
+        this->op_type_,
+        {{"Y", {"Y"}}, {"DOut", {"DOut"}}, {"DDY", {"DDY"}}},
+        {{"DDOut", {"DDOut"}}},
+        {{"use_onednn", false}, {"axis", 0}});
+    return op;
+  }
+};
+
+TEST(test_elementwise_add_grad_grad_without_ddx, cpu_place) {
+  phi::DDim dims({32, 64});
+  phi::CPUPlace p;
+  TestElementwiseAddGradGradWithoutDDX<float> test(p, dims);
+  ASSERT_TRUE(test.Check());
+}
+#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
+TEST(test_elementwise_add_grad_grad_without_ddx, gpu_place) {
+  phi::DDim dims({32, 64});
+  phi::GPUPlace p(0);
+  TestElementwiseAddGradGradWithoutDDX<float> test(p, dims);
+  ASSERT_TRUE(test.Check());
+}
+#endif
+
+}  // namespace operators
+}  // namespace paddle