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72 lines
1.9 KiB
C++
72 lines
1.9 KiB
C++
/*
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* Copyright (c) 2022-2023, NVIDIA CORPORATION. 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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*/
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#include "tensorrt_llm/runtime/workerPool.h"
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#include <gtest/gtest.h>
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namespace tensorrt_llm::runtime
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{
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TEST(WorkerPool, basic)
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{
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WorkerPool pool(2);
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auto fn = []() { return 12345; };
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auto resultFuture = pool.enqueue<std::function<int()>, int>(std::move(fn));
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auto fn2 = []() { return 12.345f; };
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auto f2 = pool.enqueue<std::function<float()>, float>(std::move(fn2));
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auto fn3 = []() { return 40.78f; };
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auto f3 = pool.enqueue<std::function<float()>, float>(std::move(fn3));
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auto r1 = resultFuture.get();
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auto r2 = f2.get();
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auto r3 = f3.get();
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EXPECT_EQ(12345, r1);
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EXPECT_FLOAT_EQ(12.345f, r2);
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EXPECT_FLOAT_EQ(40.78f, r3);
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}
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TEST(WorkerPool, voidReturn)
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{
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WorkerPool pool(2);
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int32_t returnVal1 = 0;
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int32_t returnVal2 = 0;
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int32_t returnVal3 = 0;
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auto fn1 = [&returnVal1]() { returnVal1 = 10001; };
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auto f1 = pool.enqueue(fn1);
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auto fn2 = [&returnVal2]() { returnVal2 = 10002; };
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auto f2 = pool.enqueue(fn2);
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auto fn3 = [&returnVal3]() { returnVal3 = 10003; };
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auto f3 = pool.enqueue(fn3);
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f1.get();
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f2.get();
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f3.get();
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EXPECT_EQ(returnVal1, 10001);
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EXPECT_EQ(returnVal2, 10002);
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EXPECT_EQ(returnVal3, 10003);
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}
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} // namespace tensorrt_llm::runtime
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