mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
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93 lines
2.9 KiB
C++
93 lines
2.9 KiB
C++
/*
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* SPDX-FileCopyrightText: Copyright (c) 2023-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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* SPDX-License-Identifier: Apache-2.0
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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/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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