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101 lines
3.3 KiB
101 lines
3.3 KiB
// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
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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 "paddle/operators/net_op.h"
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#include <gtest/gtest.h>
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namespace paddle {
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namespace operators {
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using Scope = framework::Scope;
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using DeviceContext = platform::DeviceContext;
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static int run_cnt = 0;
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class TestOp : public framework::OperatorBase {
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public:
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using framework::OperatorBase::OperatorBase;
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DEFINE_OP_CLONE_METHOD(TestOp);
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void Run(const Scope& scope, const platform::Place& place) const override {
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++run_cnt;
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}
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};
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template <typename T>
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void AssertSameVectorWithoutOrder(const std::vector<T>& expected,
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const std::vector<T>& actual) {
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ASSERT_EQ(expected.size(), actual.size());
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std::unordered_set<T> expected_set;
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for (auto& tmp : expected) {
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expected_set.insert(tmp);
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}
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for (auto& act : actual) {
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ASSERT_NE(expected_set.end(), expected_set.find(act));
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}
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}
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TEST(OpKernel, all) {
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auto net = std::make_shared<NetOp>();
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ASSERT_NE(net, nullptr);
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net->AppendOp(std::unique_ptr<TestOp>(
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new TestOp("test", {{"X", {"x"}}, {"W", {"w1"}}, {"b", {"b1"}}},
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{{"Out", {"y"}}}, framework::AttributeMap{})));
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net->AppendOp(std::unique_ptr<TestOp>(
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new TestOp("test", {{"X", {"y"}}, {"W", {"w2"}}, {"b", {"b2"}}},
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{{"Out", {"z"}}}, framework::AttributeMap{})));
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net->CompleteAddOp();
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AssertSameVectorWithoutOrder({"x", "w1", "b1", "w2", "b2"},
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net->Inputs(NetOp::kAll));
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AssertSameVectorWithoutOrder({"y", "z"}, net->Outputs(NetOp::kAll));
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auto final_outs = net->OutputVars(false);
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ASSERT_EQ(final_outs.size(), 1UL);
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ASSERT_EQ(final_outs[0], "z");
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}
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TEST(NetOp, insert_op) {
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NetOp net;
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auto op1 = std::unique_ptr<framework::NOP>(
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new framework::NOP("empty", {{"X", {"x"}}, {"W", {"w1"}}, {"b", {"b1"}}},
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{{"Out", {"y"}}}, framework::AttributeMap{}));
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net.AppendOp(*op1);
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net.InsertOp(0, *op1);
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ASSERT_EQ(2UL, net.ops_.size());
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net.InsertOp(2, std::move(op1));
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ASSERT_EQ(3UL, net.ops_.size());
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}
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TEST(NetOp, Clone) {
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NetOp net;
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net.AppendOp(std::unique_ptr<framework::NOP>(new framework::NOP{
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"empty", framework::VariableNameMap{}, framework::VariableNameMap{},
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framework::AttributeMap{}}));
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net.AppendOp(std::unique_ptr<framework::NOP>(new framework::NOP{
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"empty2", framework::VariableNameMap{}, framework::VariableNameMap{},
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framework::AttributeMap{}}));
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net.CompleteAddOp(true);
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auto new_net_op = net.Clone();
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ASSERT_NE(new_net_op, nullptr);
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ASSERT_TRUE(new_net_op->IsNetOp());
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auto* new_net = static_cast<NetOp*>(new_net_op.get());
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ASSERT_EQ(2UL, new_net->ops_.size());
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ASSERT_EQ(new_net->ops_[0]->Type(), "empty");
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ASSERT_EQ(new_net->ops_[1]->Type(), "empty2");
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}
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} // namespace operators
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} // namespace paddle
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