wehub-resource-sync
71 lines
2.3 KiB
C++
71 lines
2.3 KiB
C++
// Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include "gtest/gtest.h"
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#include "paddle/fluid/framework/lod_tensor.h"
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#include "paddle/fluid/framework/op_registry.h"
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#include "paddle/fluid/framework/operator.h"
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#include "paddle/fluid/framework/scope.h"
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#include "paddle/phi/common/place.h"
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#include "paddle/phi/core/kernel_registry.h"
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namespace paddle {
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namespace framework {
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TEST(test_share_buffer_op, test_share_buffer_op) {
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std::vector<std::string> inputs = {"X1", "X2"};
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std::vector<std::string> outputs = {"Y1", "Y2"};
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std::vector<DDim> dims = {{2, 3, 4}, {5, 6}};
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std::vector<bool> share_dims_and_dtype = {false, true};
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size_t n = inputs.size();
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EXPECT_EQ(n, outputs.size());
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EXPECT_EQ(n, dims.size());
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EXPECT_EQ(n, share_dims_and_dtype.size());
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OpDesc desc;
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desc.SetType("share_buffer");
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desc.SetInput("X", inputs);
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desc.SetOutput("Out", outputs);
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desc.SetOutput("XOut", inputs);
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desc.SetAttr("share_dims_and_dtype", share_dims_and_dtype);
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auto op = OpRegistry::CreateOp(desc);
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#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
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phi::Place place = phi::GPUPlace(0);
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#else
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phi::Place place = phi::CPUPlace();
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#endif
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Scope scope;
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for (size_t i = 0; i < n; ++i) {
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auto *in_tensor = scope.Var(inputs[i])->GetMutable<phi::DenseTensor>();
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in_tensor->Resize(dims[i]);
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in_tensor->mutable_data<float>(place);
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scope.Var(outputs[i])->GetMutable<phi::DenseTensor>();
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}
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op->Run(scope, place);
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phi::DeviceContextPool::Instance().Get(place)->Wait();
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for (size_t i = 0; i < n; ++i) {
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const auto &in_tensor = scope.Var(inputs[i])->Get<phi::DenseTensor>();
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const auto &out_tensor = scope.Var(outputs[i])->Get<phi::DenseTensor>();
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EXPECT_TRUE(out_tensor.IsSharedBufferWith(in_tensor));
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}
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}
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} // namespace framework
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} // namespace paddle
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