mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
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124 lines
4.2 KiB
C++
124 lines
4.2 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(ExecutorConfigTest, ctorValidInputs)
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{
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SchedulerConfig schedulerConfig;
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KvCacheConfig kvCacheConfig;
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{
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auto executorConfig = ExecutorConfig(1);
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}
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{
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auto executorConfig = ExecutorConfig(1, schedulerConfig, kvCacheConfig, true, true, 0);
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}
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{
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auto executorConfig = ExecutorConfig(1, schedulerConfig, kvCacheConfig, true, true, 1000);
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}
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}
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void testInvalid(SizeType32 maxBeamWidth = 1, SchedulerConfig schedulerConfig = SchedulerConfig(),
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KvCacheConfig kvCacheConfig = KvCacheConfig(), bool enableChunkedContext = false, bool normalizeLogProbs = true,
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SizeType32 iterStatsMaxIterations = 1000, BatchingType batchingType = BatchingType::kINFLIGHT,
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std::optional<ParallelConfig> parallelConfig = std::nullopt)
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{
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try
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{
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auto executorConfig = ExecutorConfig(maxBeamWidth, schedulerConfig, kvCacheConfig, enableChunkedContext,
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normalizeLogProbs, iterStatsMaxIterations);
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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(ExecutorConfigTest, ctorInvalidInputs)
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{
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testInvalid(0);
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testInvalid(-1);
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SchedulerConfig schedulerConfig;
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KvCacheConfig kvCacheConfig;
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// Empty device ids
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try
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{
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ParallelConfig parallelConfigInvalid;
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parallelConfigInvalid.setDeviceIds({});
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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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// iter stats negative
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ParallelConfig parallelConfigValid;
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testInvalid(1, schedulerConfig, kvCacheConfig, true, true, -1, BatchingType::kINFLIGHT, parallelConfigValid);
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}
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TEST(ExecutorConfigTest, extendedRuntimePerfKnobConfigTest)
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{
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ExtendedRuntimePerfKnobConfig extendedRuntimePerfKnobConfig;
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{
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auto executorConfig = ExecutorConfig(1);
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executorConfig.setExtendedRuntimePerfKnobConfig(extendedRuntimePerfKnobConfig);
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}
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{
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auto executorConfig = ExecutorConfig(1);
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extendedRuntimePerfKnobConfig.setMultiBlockMode(true);
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extendedRuntimePerfKnobConfig.setEnableContextFMHAFP32Acc(true);
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executorConfig.setExtendedRuntimePerfKnobConfig(extendedRuntimePerfKnobConfig);
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}
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{
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auto executorConfig = ExecutorConfig(1);
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extendedRuntimePerfKnobConfig.setMultiBlockMode(true);
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extendedRuntimePerfKnobConfig.setMultiBlockMode(false);
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extendedRuntimePerfKnobConfig.setEnableContextFMHAFP32Acc(true);
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extendedRuntimePerfKnobConfig.setEnableContextFMHAFP32Acc(false);
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executorConfig.setExtendedRuntimePerfKnobConfig(extendedRuntimePerfKnobConfig);
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}
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{
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ExtendedRuntimePerfKnobConfig newExtendedRuntimePerfKnobConfig(false, false);
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auto executorConfig = ExecutorConfig(1);
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newExtendedRuntimePerfKnobConfig.setMultiBlockMode(true);
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newExtendedRuntimePerfKnobConfig.setEnableContextFMHAFP32Acc(true);
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executorConfig.setExtendedRuntimePerfKnobConfig(newExtendedRuntimePerfKnobConfig);
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}
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}
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