wehub-resource-sync
84 lines
2.9 KiB
C++
84 lines
2.9 KiB
C++
// 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
|