net_op_test.cc 2.1 KB
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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;
using DeviceContext = platform::DeviceContext;
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static int infer_shape_cnt = 0;
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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  void InferShape(const Scope& scope) const override { ++infer_shape_cnt; }
  void Run(const Scope& scope,
           const platform::DeviceContext& dev_ctx) const override {
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    ++run_cnt;
  }
};

template <typename T>
void AssertSameVectorWithoutOrder(const std::vector<T>& expected,
                                  const std::vector<T>& actual) {
  ASSERT_EQ(expected.size(), actual.size());
  std::unordered_set<T> expected_set;
  for (auto& tmp : expected) {
    expected_set.insert(tmp);
  }
  for (auto& act : actual) {
    ASSERT_NE(expected_set.end(), expected_set.find(act));
  }
}

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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  auto op1 = std::shared_ptr<TestOp>(
      new TestOp("test", {{"X", {"x"}}, {"W", {"w1"}}, {"b", {"b1"}}},
                 {{"Out", {"y"}}}, {}));
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  net->AddOp(op1);

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  auto op2 = std::shared_ptr<TestOp>(
      new TestOp("test", {{"X", {"y"}}, {"W", {"w2"}}, {"b", {"b2"}}},
                 {{"Out", {"z"}}}, {}));
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  net->AddOp(op2);

  net->CompleteAddOp();
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  AssertSameVectorWithoutOrder({"x", "w1", "b1", "w2", "b2"},
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                               net->Inputs(NetOp::kAll));
  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);
  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::shared_ptr<framework::NOP>(
      new framework::NOP("empty", {{"X", {"x"}}, {"W", {"w1"}}, {"b", {"b1"}}},
                         {{"Out", {"y"}}}, {}));
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  net.AddOp(op1);
  net.InsertOp(0, op1);
  ASSERT_EQ(2UL, net.ops_.size());
  net.InsertOp(2, op1);
  ASSERT_EQ(3UL, net.ops_.size());
}
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}  // namespace operators
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}  // namespace paddle