mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
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88 lines
2.7 KiB
C++
88 lines
2.7 KiB
C++
/*
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* SPDX-FileCopyrightText: Copyright (c) 2023-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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* SPDX-License-Identifier: NVIDIA TensorRT Source Code License Agreement
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*
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* NVIDIA CORPORATION, its affiliates and licensors retain all intellectual
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* property and proprietary rights in and to this material, related
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* documentation and any modifications thereto. Any use, reproduction,
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* disclosure or distribution of this material and related documentation
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* without an express license agreement from NVIDIA CORPORATION or
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* its affiliates is strictly prohibited.
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*/
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#include "tensorrt_llm/common/tllmException.h"
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#include "tensorrt_llm/executor/executor.h"
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#include "tensorrt_llm/executor/types.h"
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#include <gmock/gmock.h>
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#include <gtest/gtest.h>
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using ::testing::_;
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using ::testing::Invoke;
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using namespace tensorrt_llm::executor;
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using namespace tensorrt_llm::common;
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TEST(KvCacheConfigTest, validInputs)
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{
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{
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{
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auto kvCacheConfig = KvCacheConfig();
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}
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{
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auto kvCacheConfig = KvCacheConfig(true);
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}
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{
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auto kvCacheConfig = KvCacheConfig(true, 1);
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}
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{
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auto kvCacheConfig = KvCacheConfig(true, 100, std::vector(1, 1000));
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}
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{
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auto kvCacheConfig = KvCacheConfig(true, 100, std::vector(1, 1000), 1000);
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}
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{
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auto kvCacheConfig = KvCacheConfig(true, 100, std::vector(1, 1000), 1000, 0.1);
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}
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}
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}
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void testInvalid(bool enableBlockReuse = false, std::optional<SizeType32> maxTokens = std::nullopt,
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std::optional<std::vector<SizeType32>> maxAttentionWindowVec = std::nullopt,
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std::optional<SizeType32> sinkTokenLength = std::nullopt,
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std::optional<FloatType> freeGpuMemoryFraction = std::nullopt)
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{
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try
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{
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auto kvCacheConfig
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= KvCacheConfig(enableBlockReuse, maxTokens, maxAttentionWindowVec, sinkTokenLength, freeGpuMemoryFraction);
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FAIL() << "Expected TllmException";
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}
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catch (TllmException& e)
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{
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EXPECT_THAT(e.what(), testing::HasSubstr("Assertion failed"));
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}
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catch (std::exception const& e)
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{
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FAIL() << "Expected TllmException";
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}
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}
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TEST(KvCacheConfigTest, invalidInputs)
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{
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// Negative maxTokens
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testInvalid(true, 0);
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testInvalid(true, -1);
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// Negative maxAttentionWindow
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testInvalid(true, std::nullopt, std::vector(1, 0));
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testInvalid(true, std::nullopt, std::vector(1, -1));
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// Negative sink token
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testInvalid(true, std::nullopt, std::nullopt, 0);
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testInvalid(true, std::nullopt, std::nullopt, -1);
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// free gpu memory fraction
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testInvalid(true, std::nullopt, std::nullopt, std::nullopt, -0.1);
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testInvalid(true, std::nullopt, std::nullopt, std::nullopt, 1.1);
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}
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