Lines Matching defs:Evaluator

152   auto Evaluator = std::make_unique<ReleaseModeModelRunner<AdditionAOTModel>>(
154   *Evaluator->getTensor<int64_t>(0) = 1;
155   *Evaluator->getTensor<int64_t>(1) = 2;
156   EXPECT_EQ(Evaluator->evaluate<int64_t>(), 3);
157   EXPECT_EQ(*Evaluator->getTensor<int64_t>(0), 1);
158   EXPECT_EQ(*Evaluator->getTensor<int64_t>(1), 2);
166   auto Evaluator = std::make_unique<ReleaseModeModelRunner<AdditionAOTModel>>(
168   *Evaluator->getTensor<int64_t>(0) = 1;
169   *Evaluator->getTensor<int64_t>(1) = 2;
170   *Evaluator->getTensor<int64_t>(2) = -3;
171   EXPECT_EQ(Evaluator->evaluate<int64_t>(), 3);
172   EXPECT_EQ(*Evaluator->getTensor<int64_t>(0), 1);
173   EXPECT_EQ(*Evaluator->getTensor<int64_t>(1), 2);
174   EXPECT_EQ(*Evaluator->getTensor<int64_t>(2), -3);
184   auto Evaluator = std::make_unique<ReleaseModeModelRunner<AdditionAOTModel>>(
186   *Evaluator->getTensor<int64_t>(0) = 1;         // a
187   *Evaluator->getTensor<int64_t>(1) = 2;         // c
188   *Evaluator->getTensor<int64_t>(2) = -3;        // b
189   EXPECT_EQ(Evaluator->evaluate<int64_t>(), -2); // a + b
190   EXPECT_EQ(*Evaluator->getTensor<int64_t>(0), 1);
191   EXPECT_EQ(*Evaluator->getTensor<int64_t>(1), 2);
192   EXPECT_EQ(*Evaluator->getTensor<int64_t>(2), -3);
228   auto Evaluator = std::make_unique<ReleaseModeModelRunner<ComposedAOTModel>>(
230   *Evaluator->getTensor<int64_t>(0) = 1;
231   *Evaluator->getTensor<int64_t>(1) = 2;
232   EXPECT_EQ(Evaluator->evaluate<int64_t>(), -1);
235   Evaluator = std::make_unique<ReleaseModeModelRunner<ComposedAOTModel>>(
237   *Evaluator->getTensor<int64_t>(0) = 1;
238   *Evaluator->getTensor<int64_t>(1) = 2;
239   EXPECT_EQ(Evaluator->evaluate<int64_t>(), 3);
368   InteractiveModelRunner Evaluator(Ctx, Inputs, AdviceSpec, FromCompilerName,
371   Evaluator.switchContext("hi");
374   *Evaluator.getTensor<int64_t>(0) = 42;
375   *Evaluator.getTensor<int64_t>(1) = 43;
376   *Evaluator.getTensor<int64_t>(2) = 100;
377   float Ret = Evaluator.evaluate<float>();
381   *Evaluator.getTensor<int64_t>(0) = 10;
382   *Evaluator.getTensor<int64_t>(1) = -2;
383   *Evaluator.getTensor<int64_t>(2) = 1;
384   Ret = Evaluator.evaluate<float>();