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TensorRT-LLMs/cpp/tests/unit_tests/batch_manager/microBatchSchedulerTest.cpp
Kate Cheng 7dbe618683
feat: Add multimodal embedding field in LlmRequest (#3855) 
* Add a new param to LlmRequest and Request to natively support mm

Signed-off-by: Kate Cheng <yunhsuanc@nvidia.com>

* update comment

Signed-off-by: Kate Cheng <yunhsuanc@nvidia.com>

* Update tests to match the new LlmRequest constructor parameters

Signed-off-by: Kate Cheng <yunhsuanc@nvidia.com>

* Modify unitTest and modify mm_embeding's dict name in llama4

Signed-off-by: Kate Cheng <yunhsuanc@nvidia.com>

* Fix based on comments

Signed-off-by: Kate Cheng <yunhsuanc@nvidia.com>

* Fix comment

Signed-off-by: Kate Cheng <yunhsuanc@nvidia.com>

* Fix LlmRequest initialization in kvCacheManagerTest

Signed-off-by: Kate Cheng <yunhsuanc@nvidia.com>

* Clean up code for promt_tuning_config

Signed-off-by: Kate Cheng <yunhsuanc@nvidia.com>

* Clean up prompt_tuning_config in GenerationRequest

Signed-off-by: Kate Cheng <yunhsuanc@nvidia.com>

---------

Signed-off-by: Kate Cheng <yunhsuanc@nvidia.com>
Co-authored-by: Haohang Huang <31998628+symphonylyh@users.noreply.github.com>
2025-05-01 12:23:30 +08:00

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/*
* SPDX-FileCopyrightText: Copyright (c) 2023-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: NVIDIA TensorRT Source Code License Agreement
*
* NVIDIA CORPORATION, its affiliates and licensors retain all intellectual
* property and proprietary rights in and to this material, related
* documentation and any modifications thereto. Any use, reproduction,
* disclosure or distribution of this material and related documentation
* without an express license agreement from NVIDIA CORPORATION or
* its affiliates is strictly prohibited.
*/
#include <gmock/gmock.h>
#include <gtest/gtest.h>
#include "tensorrt_llm/batch_manager/common.h"
#include "tensorrt_llm/batch_manager/llmRequest.h"
#include "tensorrt_llm/batch_manager/microBatchScheduler.h"
#include <optional>
using namespace tensorrt_llm::runtime;
using namespace tensorrt_llm::batch_manager;
using namespace tensorrt_llm::batch_manager::batch_scheduler;
using namespace tensorrt_llm::executor;
using RequestTable = std::map<RequestIdType, std::shared_ptr<LlmRequest>>;
using CudaStreamPtr = std::shared_ptr<tensorrt_llm::runtime::CudaStream>;
class MicroBatchSchedulerTest : public ::testing::Test // NOLINT(cppcoreguidelines-pro-type-member-init)
{
protected:
MicroBatchSchedulerTest() {}
void SetUp() override {}
void TearDown() override {}
static std::shared_ptr<LlmRequest> createRequest(int32_t promptLen, int32_t maxNewTokens,
std::optional<uint64_t> optionalReqId, SizeType32 beamWidth = 1, int32_t draftTokensLen = 0)
{
tensorrt_llm::runtime::SamplingConfig samplingConfig;
samplingConfig.beamWidth = beamWidth;
uint64_t reqId = optionalReqId.value_or((rand() % INT64_MAX) + 1);
auto inputTokens = std::make_shared<std::vector<int32_t>>(promptLen, 1);
std::optional<std::shared_ptr<std::vector<int32_t>>> draftTokens = std::nullopt;
std::optional<LlmRequest::TensorPtr> draftLogits = std::nullopt;
if (draftTokensLen > 0)
{
draftTokens = std::make_shared<std::vector<int32_t>>(draftTokensLen, 2);
draftLogits = BufferManager::cpu(
ITensor::makeShape({draftTokensLen, /* vocabSizePadded*/ 42}), nvinfer1::DataType::kFLOAT);
}
return std::make_shared<LlmRequest>(reqId, maxNewTokens, inputTokens, samplingConfig,
/*isStreaming=*/false,
/*endId=*/std::nullopt,
/*padId=*/std::nullopt, /*embeddingBias=*/std::nullopt,
/*badWordsList=*/std::nullopt, /*stopWordsList=*/std::nullopt, /*positionIds=*/std::nullopt,
/*promptEmbeddingTable=*/std::nullopt, /*promptVocabSize=*/std::nullopt,
/*multimodalEmbedding=*/std::nullopt,
/*mropeRotaryCosSin=*/std::nullopt, /*mropePositionDeltas*/ std::nullopt,
/*loraTaskId=*/std::nullopt, /*loraWeights=*/std::nullopt,
/*loraConfig=*/std::nullopt, /*lookaheadConfig=*/std::nullopt, /*kvCacheRetentionConfig=*/std::nullopt,
/*returnLogProbs=*/false,
/*returnContextLogits=*/false, /*returnGenerationLogits=*/false, draftTokens, draftLogits);
}
RequestTable forward(
RequestVector& activeRequests, SizeType32 maxBatchSizeRuntime, std::optional<SizeType32> maxNumTokensRuntime)
{
for (auto const& [reqId, req] : mContextRequests.at(mRuntimeContextId))
{
mInflightReqIds.erase(reqId);
}
auto const [contextRequests, genRequests]
= (*mMicroBatchScheduler)(activeRequests, mInflightReqIds, maxBatchSizeRuntime, maxNumTokensRuntime);
for (auto const& requests : {contextRequests, genRequests})
{
for (auto const& llmReq : requests)
{
mInflightReqIds.insert(llmReq->mRequestId);
}
}
// ----------------------------------------
// Mock the behavior of TrtModelInflightBatching
// ----------------------------------------
// Append a token for all exec requests
for (auto const& llmReq : contextRequests)
{
llmReq->moveToNextContextChunk();
if (!llmReq->getContextRemainingLength())
{
llmReq->setState(LlmRequestState::kGENERATION_IN_PROGRESS);
llmReq->addNewTokens({mItCount});
}
if (llmReq->getNumTokens(0) == llmReq->mPromptLen + llmReq->mMaxNewTokens)
{
llmReq->setState(LlmRequestState::kGENERATION_COMPLETE);
}
}
for (auto const& llmReq : genRequests)
{
llmReq->addNewTokens({mItCount});
if (llmReq->getNumTokens(0) == llmReq->mPromptLen + llmReq->mMaxNewTokens)
{
llmReq->setState(LlmRequestState::kGENERATION_COMPLETE);
}
}
// Remove completed requests
auto const activeEnd = std::remove_if(activeRequests.begin(), activeRequests.end(),
[](auto const& llmReq) { return llmReq->isGenerationCompleteState(); });
activeRequests.erase(activeEnd, activeRequests.end());
auto& currContextRequests = mContextRequests.at(mRuntimeContextId);
currContextRequests.clear();
for (auto const& requests : {contextRequests, genRequests})
{
for (auto const& llmReq : requests)
{
currContextRequests.emplace(llmReq->mRequestId, llmReq);
}
}
// Update the context ID
mRuntimeContextId = (mRuntimeContextId + 1) % mNumContexts;
mItCount++;
return currContextRequests;
}
ReqIdsSet mInflightReqIds;
SizeType32 mItCount{0};
SizeType32 mRuntimeContextId{0};
SizeType32 mMaxInputLen = 1000;
SizeType32 mNumContexts;
std::vector<RequestTable> mContextRequests;
std::shared_ptr<MicroBatchScheduler> mMicroBatchScheduler;
};
TEST_F(MicroBatchSchedulerTest, SimpleNoOverlap)
{
constexpr SizeType32 maxBatchSize = 2;
constexpr uint64_t maxSeqIdleMicroseconds = 60 * 1000 * 1000;
mNumContexts = 1;
mContextRequests.resize(mNumContexts);
mMicroBatchScheduler = std::make_shared<MicroBatchScheduler>();
constexpr int32_t maxNewTokens = 80;
constexpr int32_t promptLen = 10;
RequestVector activeRequests;
activeRequests.push_back(createRequest(promptLen, maxNewTokens, 0));
activeRequests.push_back(createRequest(promptLen, maxNewTokens, 1));
activeRequests.push_back(createRequest(promptLen, maxNewTokens, 2));
activeRequests.push_back(createRequest(promptLen, maxNewTokens, 3));
for (int it = 0; it < 170; ++it)
{
RequestTable newRequests = forward(activeRequests, maxBatchSize, std::nullopt);
if (it < 80)
{
EXPECT_EQ(newRequests.size(), 2) << " in iteration " << it;
EXPECT_NE(newRequests.find(0), newRequests.end()) << " in iteration " << it;
EXPECT_EQ(newRequests.at(0)->getMaxNumGeneratedTokens(), it + 1) << " in iteration " << it;
EXPECT_NE(newRequests.find(1), newRequests.end()) << " in iteration " << it;
EXPECT_EQ(newRequests.at(1)->getMaxNumGeneratedTokens(), it + 1) << " in iteration " << it;
}
else if (it < 160)
{
EXPECT_EQ(newRequests.size(), 2) << " in iteration " << it;
EXPECT_NE(newRequests.find(2), newRequests.end()) << " in iteration " << it;
EXPECT_EQ(newRequests.at(2)->getMaxNumGeneratedTokens(), (it - 80 + 1)) << " in iteration " << it;
EXPECT_NE(newRequests.find(3), newRequests.end()) << " in iteration " << it;
EXPECT_EQ(newRequests.at(3)->getMaxNumGeneratedTokens(), (it - 80 + 1)) << " in iteration " << it;
}
else
{
EXPECT_EQ(newRequests.size(), 0);
}
}
}
TEST_F(MicroBatchSchedulerTest, SimpleNoOverlapMaxNumTokens)
{
constexpr SizeType32 maxBatchSize = 2;
constexpr uint64_t maxSeqIdleMicroseconds = 60 * 1000 * 1000;
constexpr SizeType32 maxNumTokens = 7;
constexpr SizeType32 chunkUnitSize = 5;
constexpr ContextChunkingPolicy ctxChunkPolicy{ContextChunkingPolicy::kEQUAL_PROGRESS};
mNumContexts = 1;
mContextRequests.resize(mNumContexts);
mMicroBatchScheduler
= std::make_shared<MicroBatchScheduler>(ContextChunkingConfig{ctxChunkPolicy, chunkUnitSize}, std::nullopt);
constexpr int32_t maxNewTokens = 5;
// Use numbers to represent context tokens and letters to represent generated tokens.
// Req 0: (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, A, B, C, D, E)
// Req 1: (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, A, B, C, D, E)
RequestVector activeRequests;
constexpr int32_t promptLen0 = 12;
constexpr int32_t promptLen1 = 12;
activeRequests.push_back(createRequest(promptLen0, maxNewTokens, 0));
activeRequests.push_back(createRequest(promptLen1, maxNewTokens, 1));
for (int it = 0; it < 9; ++it)
{
RequestTable newRequests = forward(activeRequests, maxBatchSize, maxNumTokens);
if (it == 0)
{
// When it equals 0:
// Req 0: (0, 1, 2, 3, 4)
// Req 1: ()
EXPECT_EQ(newRequests.size(), 1);
EXPECT_EQ(newRequests.at(0)->getMaxNumGeneratedTokens(), 0);
EXPECT_EQ(newRequests.at(0)->getContextCurrentPosition(), 5);
}
else if (it == 1)
{
// When it equals 1:
// Req 0: The last context chunk can be larger than the chunk unit size
// and it also satisfies the total token count limit.
// Req 0: 0, 1, 2, 3, 4; (5, 6, 7, 8, 9, 10, 11, A)
// Req 1: ()
EXPECT_EQ(newRequests.size(), 1);
EXPECT_EQ(newRequests.at(0)->getMaxNumGeneratedTokens(), 1);
EXPECT_EQ(newRequests.at(0)->getContextCurrentPosition(), promptLen0);
}
else if (it == 2)
{
// When it equals 2:
// Req 0: 0, 1, 2, 3, 4; 5, 6, 7, 8, 9, 10, 11, A; (B)
// Req 1: (0, 1, 2, 3, 4)
EXPECT_EQ(newRequests.size(), 2);
EXPECT_EQ(newRequests.at(0)->getMaxNumGeneratedTokens(), 2);
EXPECT_EQ(newRequests.at(0)->getContextCurrentPosition(), promptLen0);
EXPECT_EQ(newRequests.at(1)->getContextCurrentPosition(), chunkUnitSize);
}
else if (it == 3)
{
// When it equals 3:
// Req 1: Although the last chunk can be larger than the chunk unit size, it
// does not meet the total number of tokens, so it is chunked again.
// Req 0: 0, 1, 2, 3, 4; 5, 6, 7, 8, 9, 10, 11, A; B; (C)
// Req 1: 0, 1, 2, 3, 4; (5, 6, 7, 8, 9)
EXPECT_EQ(newRequests.size(), 2);
EXPECT_EQ(newRequests.at(0)->getMaxNumGeneratedTokens(), 3);
EXPECT_EQ(newRequests.at(1)->getContextCurrentPosition(), chunkUnitSize * 2);
}
else if (it <= 5)
{
// When it equals 4:
// Req 0: 0, 1, 2, 3, 4; 5, 6, 7, 8, 9, A; B; C; D;
// Req 1: 0, 1, 2, 3, 4; 5, 6, 7, 8, 9; (10, 11, A)
EXPECT_EQ(newRequests.size(), 2);
EXPECT_EQ(newRequests.at(0)->getMaxNumGeneratedTokens(), it);
EXPECT_EQ(newRequests.at(1)->getMaxNumGeneratedTokens(), it - 3);
EXPECT_EQ(newRequests.at(1)->getContextCurrentPosition(), promptLen1);
}
else if (it <= 8)
{
// When it equals 6:
// Req 0: 0, 1, 2, 3, 4; 5, 6, 7, 8, 9, A; B; C; D; E;
// Req 1: 0, 1, 2, 3, 4; 5, 6, 7, 8, 9, 10, 11, A; B; C; (D)
EXPECT_EQ(newRequests.size(), 1);
EXPECT_EQ(newRequests.at(1)->getMaxNumGeneratedTokens(), it - 3);
}
}
}
TEST_F(MicroBatchSchedulerTest, SimpleNoOverlapMaxContextLength)
{
constexpr SizeType32 maxBatchSize = 2;
constexpr uint64_t maxSeqIdleMicroseconds = 60 * 1000 * 1000;
constexpr SizeType32 chunkUnitSize = 5;
constexpr SizeType32 maxContextLength = 12;
ContextChunkingPolicy ctxChunkPolicy{ContextChunkingPolicy::kEQUAL_PROGRESS};
mNumContexts = 1;
mContextRequests.resize(mNumContexts);
mMicroBatchScheduler
= std::make_shared<MicroBatchScheduler>(ContextChunkingConfig{ctxChunkPolicy, chunkUnitSize}, maxContextLength);
constexpr int32_t maxNewTokens = 5;
// Use numbers to represent context tokens and letters to represent generated tokens.
// Req 0, 1, 2: (0, 1, ..., 9, A, B, C, D, E)
// Req 3: (0, 1, ..., 16, A, B, C, D, E)
RequestVector activeRequests;
activeRequests.push_back(createRequest(10, maxNewTokens, 0));
activeRequests.push_back(createRequest(10, maxNewTokens, 1));
activeRequests.push_back(createRequest(10, maxNewTokens, 2));
activeRequests.push_back(createRequest(17, maxNewTokens, 3));
RequestTable newRequests;
for (int it = 0; it < 12; ++it)
{
RequestTable newRequests = forward(activeRequests, maxBatchSize, std::nullopt);
if (it == 0)
{
// The context for requests 0 and 1 can be processed in one batch.
// Req 0, 1: (0, 1, ..., 9, A)
// Req 2, 3: ()
EXPECT_EQ(newRequests.size(), 2);
EXPECT_EQ(newRequests.at(0)->getContextCurrentPosition(), 10);
EXPECT_EQ(newRequests.at(0)->getMaxNumGeneratedTokens(), 1);
EXPECT_EQ(newRequests.at(1)->getContextCurrentPosition(), 10);
EXPECT_EQ(newRequests.at(1)->getMaxNumGeneratedTokens(), 1);
}
else if (it < 5)
{
EXPECT_EQ(newRequests.size(), 2);
EXPECT_NE(newRequests.find(0), newRequests.end());
EXPECT_EQ(newRequests.at(0)->getMaxNumGeneratedTokens(), it + 1);
EXPECT_NE(newRequests.find(1), newRequests.end());
EXPECT_EQ(newRequests.at(1)->getMaxNumGeneratedTokens(), it + 1);
}
else if (it == 5)
{
// Limited by `maxContextLength`, continued chunking is required for request 3.
// Req 2: (0, 1, ..., 9, A)
// Req 3: (0, 1, ..., 9)
EXPECT_EQ(newRequests.size(), 2);
EXPECT_EQ(newRequests.at(2)->getContextCurrentPosition(), 10);
EXPECT_EQ(newRequests.at(2)->getMaxNumGeneratedTokens(), 1);
EXPECT_EQ(newRequests.at(3)->getContextCurrentPosition(), 10);
EXPECT_EQ(newRequests.at(3)->getMaxNumGeneratedTokens(), 0);
}
else if (it == 6)
{
// Req 2: 0, 1, ..., 9, A; (B)
// Req 3: 0, 1, ..., 9; (10, 11, ..., 16, A)
EXPECT_EQ(newRequests.size(), 2);
EXPECT_EQ(newRequests.at(2)->getContextCurrentPosition(), 10);
EXPECT_EQ(newRequests.at(2)->getMaxNumGeneratedTokens(), 2);
EXPECT_EQ(newRequests.at(3)->getContextCurrentPosition(), 17);
EXPECT_EQ(newRequests.at(3)->getMaxNumGeneratedTokens(), 1);
}
else if (it <= 9)
{
EXPECT_EQ(newRequests.size(), 2);
EXPECT_NE(newRequests.find(2), newRequests.end());
EXPECT_EQ(newRequests.at(2)->getMaxNumGeneratedTokens(), (it - 4));
EXPECT_NE(newRequests.find(3), newRequests.end());
EXPECT_EQ(newRequests.at(3)->getMaxNumGeneratedTokens(), (it - 5));
}
else if (it == 10)
{
// Req 3: 0, 1, ..., 9; 10, 11, ..., 16; A; B; C; D; (E)
EXPECT_EQ(newRequests.size(), 1);
EXPECT_NE(newRequests.find(3), newRequests.end());
EXPECT_EQ(newRequests.at(3)->getMaxNumGeneratedTokens(), 5);
}
else
{
EXPECT_EQ(newRequests.size(), 0);
}
}
}
TEST_F(MicroBatchSchedulerTest, SimpleWithOverlap)
{
constexpr SizeType32 maxBatchSize = 2;
constexpr uint64_t maxSeqIdleMicroseconds = 60 * 1000 * 1000;
mNumContexts = 2;
mContextRequests.resize(mNumContexts);
mMicroBatchScheduler = std::make_shared<MicroBatchScheduler>();
constexpr int32_t maxNewTokens = 80;
constexpr int32_t promptLen = 10;
RequestVector activeRequests;
activeRequests.push_back(createRequest(promptLen, maxNewTokens, 0));
activeRequests.push_back(createRequest(promptLen, maxNewTokens, 1));
activeRequests.push_back(createRequest(promptLen, maxNewTokens, 2));
activeRequests.push_back(createRequest(promptLen, maxNewTokens, 3));
for (int it = 0; it < 170; ++it)
{
RequestTable newRequests = forward(activeRequests, maxBatchSize, std::nullopt);
if (it < 160)
{
if (it % 2 == 1)
{
// new: 2,3
EXPECT_EQ(newRequests.size(), 2);
EXPECT_NE(newRequests.find(2), newRequests.end());
// EXPECT_EQ(newRequests.at(2)->getMaxNumGeneratedTokens(), (it+1) / 2);
EXPECT_EQ(newRequests.at(2)->getMaxNumGeneratedTokens(), (it / 2) + 1);
EXPECT_NE(newRequests.find(3), newRequests.end());
// EXPECT_EQ(newRequests.at(3)->getMaxNumGeneratedTokens(), (it+1) / 2);
EXPECT_EQ(newRequests.at(3)->getMaxNumGeneratedTokens(), (it / 2) + 1);
}
else
{
// new: 0,1
EXPECT_EQ(newRequests.size(), 2);
EXPECT_NE(newRequests.find(0), newRequests.end());
EXPECT_EQ(newRequests.at(0)->getMaxNumGeneratedTokens(), (it / 2) + 1);
EXPECT_NE(newRequests.find(1), newRequests.end());
EXPECT_EQ(newRequests.at(1)->getMaxNumGeneratedTokens(), (it / 2) + 1);
}
}
else
{
EXPECT_EQ(newRequests.size(), 0);
}
}
}
TEST_F(MicroBatchSchedulerTest, SimpleMaxNumTokensBW1)
{
constexpr SizeType32 maxNumTokens = 12;
constexpr SizeType32 maxBatchSize = 4;
constexpr uint64_t maxSeqIdleMicroseconds = 60 * 1000 * 1000;
mNumContexts = 1;
mContextRequests.resize(mNumContexts);
mMicroBatchScheduler = std::make_shared<MicroBatchScheduler>();
constexpr int32_t maxNewTokens = 10;
constexpr int32_t promptLen = 10;
RequestVector activeRequests;
activeRequests.push_back(createRequest(promptLen, maxNewTokens, 0, 1));
activeRequests.push_back(createRequest(promptLen, maxNewTokens, 1, 1));
activeRequests.push_back(createRequest(promptLen, maxNewTokens, 2, 1));
activeRequests.push_back(createRequest(promptLen, maxNewTokens, 3, 1));
for (int it = 0; it < 21; ++it)
{
RequestTable newRequests = forward(activeRequests, maxBatchSize, maxNumTokens);
if (it < 3)
{
EXPECT_EQ(newRequests.size(), it + 1);
}
else if (it < 10)
{
// Due to limit of 12 tokens, we can only have 1 context and 2 gen, or 3 gen
// we can't have 1 context + 3 gen
EXPECT_EQ(newRequests.size(), 3);
EXPECT_NE(newRequests.find(0), newRequests.end());
EXPECT_NE(newRequests.find(1), newRequests.end());
EXPECT_NE(newRequests.find(2), newRequests.end());
}
// At iteration 10, request 0 is done, 3 finally enters
else if (it < 11)
{
EXPECT_EQ(newRequests.size(), 3);
EXPECT_EQ(newRequests.find(0), newRequests.end());
EXPECT_NE(newRequests.find(1), newRequests.end());
EXPECT_NE(newRequests.find(2), newRequests.end());
EXPECT_NE(newRequests.find(3), newRequests.end());
}
// At iteration 11, request 1 is done
else if (it < 12)
{
EXPECT_EQ(newRequests.size(), 2);
EXPECT_NE(newRequests.find(2), newRequests.end());
EXPECT_NE(newRequests.find(3), newRequests.end());
}
// By iteration 20, all requests are done
else if (it == 20)
{
EXPECT_EQ(newRequests.size(), 0);
}
}
}
TEST_F(MicroBatchSchedulerTest, SimpleMaxNumTokensBW4)
{
constexpr SizeType32 maxNumTokens = 15;
constexpr SizeType32 maxBatchSize = 4;
constexpr uint64_t maxSeqIdleMicroseconds = 60 * 1000 * 1000;
mNumContexts = 1;
mContextRequests.resize(mNumContexts);
mMicroBatchScheduler = std::make_shared<MicroBatchScheduler>();
constexpr int32_t maxNewTokens = 10;
constexpr int32_t promptLen = 10;
RequestVector activeRequests;
activeRequests.push_back(createRequest(promptLen, maxNewTokens, 0, 4));
activeRequests.push_back(createRequest(promptLen, maxNewTokens, 1, 4));
activeRequests.push_back(createRequest(promptLen, maxNewTokens, 2, 4));
activeRequests.push_back(createRequest(promptLen, maxNewTokens, 3, 4));
//
for (int it = 0; it < 22; ++it)
{
RequestTable newRequests = forward(activeRequests, maxBatchSize, maxNumTokens);
if (it < 2)
{
EXPECT_EQ(newRequests.size(), it + 1);
}
// At iteration 2, we should be limited to only 2 requests (since we have 2 gen, each needing 4 input ids, so
// adding one more gen would violate constraint)
else if (it < 10)
{
EXPECT_EQ(newRequests.size(), 2);
EXPECT_NE(newRequests.find(0), newRequests.end());
EXPECT_NE(newRequests.find(1), newRequests.end());
}
// At iteration 10, request 0 is done, 2 enters
else if (it < 11)
{
EXPECT_EQ(newRequests.size(), 2);
EXPECT_NE(newRequests.find(1), newRequests.end());
EXPECT_NE(newRequests.find(2), newRequests.end());
}
// At iteration 11, request 1 is done, 3 enters
else if (it < 20)
{
EXPECT_EQ(newRequests.size(), 2);
EXPECT_NE(newRequests.find(2), newRequests.end());
EXPECT_NE(newRequests.find(3), newRequests.end());
}
else if (it == 20)
{
EXPECT_EQ(newRequests.size(), 1);
EXPECT_NE(newRequests.find(3), newRequests.end());
}
else if (it == 21)
{
EXPECT_EQ(newRequests.size(), 0);
}
}
}
TEST_F(MicroBatchSchedulerTest, DraftTokensMaxNumTokens)
{
// This test checks that draft tokens will not cause maxNumTokens to be exceeded.
constexpr SizeType32 maxNumTokens = 4096;
constexpr SizeType32 maxBatchSize = 64;
constexpr uint64_t maxSeqIdleMicroseconds = 60 * 1000 * 1000;
mNumContexts = 1;
mContextRequests.resize(mNumContexts);
mMicroBatchScheduler = std::make_shared<MicroBatchScheduler>();
constexpr int32_t maxNewTokens = 10;
constexpr int32_t promptLen = 1024;
constexpr int32_t draftLen = 17;
RequestVector activeRequests;
activeRequests.push_back(createRequest(promptLen, maxNewTokens, 0, 1, draftLen));
activeRequests.push_back(createRequest(promptLen, maxNewTokens, 1, 1, draftLen));
activeRequests.push_back(createRequest(promptLen, maxNewTokens, 2, 1, draftLen));
activeRequests.push_back(createRequest(promptLen, maxNewTokens, 3, 1, draftLen));
for (int it = 0; it < 12; ++it)
{
RequestTable newRequests = forward(activeRequests, maxBatchSize, maxNumTokens);
if (it == 0)
{
// Due to draft tokens, only 3 requests can fit.
EXPECT_EQ(newRequests.size(), 3);
EXPECT_NE(newRequests.find(0), newRequests.end());
EXPECT_NE(newRequests.find(1), newRequests.end());
EXPECT_NE(newRequests.find(2), newRequests.end());
}
else if (it < 10)
{
EXPECT_EQ(newRequests.size(), 4);
EXPECT_NE(newRequests.find(0), newRequests.end());
EXPECT_NE(newRequests.find(1), newRequests.end());
EXPECT_NE(newRequests.find(2), newRequests.end());
EXPECT_NE(newRequests.find(3), newRequests.end());
}
else if (it == 10)
{
EXPECT_EQ(newRequests.size(), 1);
EXPECT_NE(newRequests.find(3), newRequests.end());
}
else if (it == 11)
{
EXPECT_EQ(newRequests.size(), 0);
}
}
}
TEST_F(MicroBatchSchedulerTest, GenDraftTokensMaxNumTokens)
{
// This test checks that draft tokens will not cause maxNumTokens to be exceeded.
constexpr SizeType32 maxNumTokens = 128;
constexpr SizeType32 maxBatchSize = 64;
constexpr uint64_t maxSeqIdleMicroseconds = 60 * 1000 * 1000;
mNumContexts = 1;
mContextRequests.resize(mNumContexts);
mMicroBatchScheduler = std::make_shared<MicroBatchScheduler>();
constexpr int32_t maxNewTokens = 2;
constexpr int32_t promptLen = 2;
constexpr int32_t genDraftLen = 63;
RequestVector activeRequests;
// No ctx draft tokens.
activeRequests.push_back(createRequest(promptLen, maxNewTokens, 0, 1));
activeRequests.push_back(createRequest(promptLen, maxNewTokens, 1, 1));
activeRequests.push_back(createRequest(promptLen, maxNewTokens, 2, 1));
activeRequests.push_back(createRequest(promptLen, maxNewTokens, 3, 1));
for (int it = 0; it < 4; ++it)
{
RequestTable newRequests = forward(activeRequests, maxBatchSize, maxNumTokens);
if (it == 0)
{
EXPECT_EQ(newRequests.size(), 4);
EXPECT_NE(newRequests.find(0), newRequests.end());
EXPECT_NE(newRequests.find(1), newRequests.end());
EXPECT_NE(newRequests.find(2), newRequests.end());
EXPECT_NE(newRequests.find(3), newRequests.end());
// Set gen draft tokens.
newRequests.find(0)->second->setDraftTokens(std::make_shared<std::vector<SizeType32>>(genDraftLen));
newRequests.find(1)->second->setDraftTokens(std::make_shared<std::vector<SizeType32>>(genDraftLen));
newRequests.find(2)->second->setDraftTokens(std::make_shared<std::vector<SizeType32>>(genDraftLen));
newRequests.find(3)->second->setDraftTokens(std::make_shared<std::vector<SizeType32>>(genDraftLen));
}
if (it == 1)
{
// Due to draft tokens, only 2 gen requests can fit
EXPECT_EQ(newRequests.size(), 2);
EXPECT_NE(newRequests.find(0), newRequests.end());
EXPECT_NE(newRequests.find(1), newRequests.end());
}
if (it == 2)
{
EXPECT_EQ(newRequests.size(), 2);
EXPECT_NE(newRequests.find(2), newRequests.end());
EXPECT_NE(newRequests.find(3), newRequests.end());
}
else if (it == 3)
{
EXPECT_EQ(newRequests.size(), 0);
}
}
}
TEST_F(MicroBatchSchedulerTest, ChunkedContextDraftTokensMaxNumTokens)
{
// This test checks that draft tokens will not cause maxNumTokens to be exceeded.
constexpr SizeType32 maxNumTokens = 8192;
constexpr SizeType32 maxBatchSize = 64;
constexpr uint64_t maxSeqIdleMicroseconds = 60 * 1000 * 1000;
mNumContexts = 1;
mContextRequests.resize(mNumContexts);
auto ctxChunkConfig = batch_scheduler::ContextChunkingConfig{ContextChunkingPolicy::kFIRST_COME_FIRST_SERVED, 64};
mMicroBatchScheduler = std::make_shared<MicroBatchScheduler>(ctxChunkConfig);
constexpr int32_t maxNewTokens = 9;
constexpr int32_t promptLen = 2041;
constexpr int32_t draftLen = 8;
RequestVector activeRequests;
activeRequests.push_back(createRequest(promptLen, maxNewTokens, 0, 1, draftLen));
activeRequests.push_back(createRequest(promptLen, maxNewTokens, 1, 1, draftLen));
activeRequests.push_back(createRequest(promptLen, maxNewTokens, 2, 1, draftLen));
activeRequests.push_back(createRequest(promptLen, maxNewTokens, 3, 1, draftLen));
for (int it = 0; it < 10; ++it)
{
RequestTable newRequests = forward(activeRequests, maxBatchSize, maxNumTokens);
if (it < 9)
{
// Some draft tokens are discarded so that all requests can fit.
EXPECT_EQ(newRequests.size(), 4);
EXPECT_NE(newRequests.find(0), newRequests.end());
EXPECT_NE(newRequests.find(1), newRequests.end());
EXPECT_NE(newRequests.find(2), newRequests.end());
EXPECT_NE(newRequests.find(3), newRequests.end());
EXPECT_EQ(newRequests.find(0)->second->getNumDraftTokens(), 7);
EXPECT_EQ(newRequests.find(1)->second->getNumDraftTokens(), 7);
EXPECT_EQ(newRequests.find(2)->second->getNumDraftTokens(), 7);
EXPECT_EQ(newRequests.find(3)->second->getNumDraftTokens(), 7);
}
else if (it == 9)
{
EXPECT_EQ(newRequests.size(), 0);
}
}
}
TEST_F(MicroBatchSchedulerTest, ChunkedContextDraftTokensMaxContextLength)
{
// This test checks that draft tokens will not cause maxContextLength to be exceeded.
constexpr SizeType32 maxContextLength = 10;
constexpr SizeType32 maxBatchSize = 64;
constexpr uint64_t maxSeqIdleMicroseconds = 60 * 1000 * 1000;
constexpr SizeType32 maxNumTokens = 8192;
mNumContexts = 1;
mContextRequests.resize(mNumContexts);
auto ctxChunkConfig = batch_scheduler::ContextChunkingConfig{ContextChunkingPolicy::kFIRST_COME_FIRST_SERVED, 64};
mMicroBatchScheduler = std::make_shared<MicroBatchScheduler>(ctxChunkConfig, maxContextLength);
constexpr int32_t maxNewTokens = 6;
constexpr int32_t promptLen = 6;
constexpr int32_t draftLen = 5;
RequestVector activeRequests;
activeRequests.push_back(createRequest(promptLen, maxNewTokens, 0, 1, draftLen));
activeRequests.push_back(createRequest(promptLen, maxNewTokens, 1, 1, draftLen));
for (int it = 0; it < 7; ++it)
{
RequestTable newRequests = forward(activeRequests, maxBatchSize, maxNumTokens);
if (it < 6)
{
// Some draft tokens are discarded so that all requests can fit.
EXPECT_EQ(newRequests.size(), 2);
EXPECT_NE(newRequests.find(0), newRequests.end());
EXPECT_NE(newRequests.find(1), newRequests.end());
EXPECT_EQ(newRequests.find(0)->second->getNumDraftTokens(), 4);
EXPECT_EQ(newRequests.find(1)->second->getNumDraftTokens(), 4);
}
else if (it == 6)
{
EXPECT_EQ(newRequests.size(), 0);
}
}
}
TEST_F(MicroBatchSchedulerTest, DraftTokensGreaterThanChunkSize)
{
// This test checks that draft tokens are dropped to fit the request within
// a chunk unit.
// TODO(tmorris): This behavior may not be desired and might be changed soon.
constexpr SizeType32 maxNumTokens = 40;
constexpr SizeType32 maxBatchSize = 64;
constexpr SizeType32 chunkUnitSize = 16;
constexpr uint64_t maxSeqIdleMicroseconds = 60 * 1000 * 1000;
mNumContexts = 1;
mContextRequests.resize(mNumContexts);
auto ctxChunkConfig
= batch_scheduler::ContextChunkingConfig{ContextChunkingPolicy::kFIRST_COME_FIRST_SERVED, chunkUnitSize};
mMicroBatchScheduler = std::make_shared<MicroBatchScheduler>(ctxChunkConfig, maxBatchSize);
constexpr int32_t maxNewTokens = 21;
constexpr int32_t promptLen = 3;
constexpr int32_t draftLen = 17;
RequestVector activeRequests;
activeRequests.push_back(createRequest(promptLen, maxNewTokens, 0, 1, draftLen));
activeRequests.push_back(createRequest(promptLen, maxNewTokens, 1, 1, draftLen));
activeRequests.push_back(createRequest(promptLen, maxNewTokens, 2, 1, draftLen));
for (int it = 0; it < 22; ++it)
{
RequestTable newRequests = forward(activeRequests, maxBatchSize, maxNumTokens);
if (it < 21)
{
EXPECT_EQ(newRequests.size(), 3);
EXPECT_NE(newRequests.find(0), newRequests.end());
EXPECT_NE(newRequests.find(1), newRequests.end());
EXPECT_NE(newRequests.find(2), newRequests.end());
EXPECT_EQ(newRequests.find(0)->second->getNumDraftTokens(), 13);
EXPECT_EQ(newRequests.find(1)->second->getNumDraftTokens(), 13);
EXPECT_EQ(newRequests.find(2)->second->getNumDraftTokens(), 5);
}
else if (it == 21)
{
EXPECT_EQ(newRequests.size(), 0);
}
}
}
class ContextChunkingTest : public MicroBatchSchedulerTest
{
protected:
using Policy = ContextChunkingPolicy;
~ContextChunkingTest()
{
for (auto ctxChunkPolicy : {Policy::kEQUAL_PROGRESS, Policy::kFIRST_COME_FIRST_SERVED})
{
auto reqs = initContextLengths(mLengths, mDraftLengths);
auto const& statesMap = mExpectedStates.at(ctxChunkPolicy);
EXPECT_GT(statesMap.size(), 0);
SizeType32 const endIter = statesMap.rbegin()->first + 1;
for (SizeType32 i = 0; i < endIter; ++i)
{
forward(ctxChunkPolicy, reqs, i, statesMap);
}
// Check final draft lengths.
if (mExpectedDraftLengthsMap.count(ctxChunkPolicy))
{
auto const& expectedDraftLengths = mExpectedDraftLengthsMap.at(ctxChunkPolicy);
EXPECT_EQ(reqs.size(), expectedDraftLengths.size());
for (size_t i = 0; i < reqs.size(); i++)
{
EXPECT_EQ(reqs[i]->getNumDraftTokens(), expectedDraftLengths[i]) << "policy = " << ctxChunkPolicy;
}
}
}
}
struct ChunkState
{
SizeType32 mContextCurrentPosition;
LlmRequest::RequestIdType mRequestId;
friend std::ostream& operator<<(std::ostream& os, ChunkState const& obj)
{
os << "pos = " << obj.mContextCurrentPosition << ", id = " << obj.mRequestId;
return os;
}
};
static RequestVector initContextLengths(
std::vector<SizeType32> const& lengths, std::vector<SizeType32> const& draftLengths)
{
RequestVector reqs;
constexpr SizeType32 maxNewTokens = 1;
for (size_t i = 0; i < lengths.size(); ++i)
{
auto draftLen = draftLengths.size() > 0 ? draftLengths[i] : 0;
reqs.push_back(createRequest(lengths[i], maxNewTokens, i, /*beamWidth=*/1, draftLen));
}
return reqs;
}
static std::string debugStr(LlmRequest const& val)
{
std::ostringstream os;
os << "pos = " << val.getContextCurrentPosition() << ", id = " << val.mRequestId;
return os.str();
}
static bool isEqual(LlmRequest const& source, ChunkState const& target)
{
bool ret = true;
ret = ret && (source.mRequestId == target.mRequestId);
ret = ret && (source.getContextCurrentPosition() == target.mContextCurrentPosition);
return ret;
}
template <Policy tPolicy>
void setExpectedPositions(std::vector<std::vector<SizeType32>> const& positions)
{
std::vector<ChunkState> stateVec;
for (size_t iter = 0; iter < positions.size(); ++iter)
{
for (size_t i = 0; i < positions[iter].size(); ++i)
{
stateVec.emplace_back(ChunkState{positions[iter][i], i});
}
mExpectedStates[tPolicy].insert({iter, std::move(stateVec)});
}
}
void forward(Policy ctxChunkPolicy, RequestVector const& reqs, SizeType32 itCount,
std::map<SizeType32, std::vector<ChunkState>> const& statesMap)
{
// Don't process already completed requests
RequestVector activeRequests;
std::copy_if(reqs.begin(), reqs.end(), std::back_inserter(activeRequests),
[](auto const& llmReq) { return llmReq->getContextRemainingLength() > 0; });
MicroBatchScheduler::setCtxRequestsChunkSize(
activeRequests, ctxChunkPolicy, mCtxTokensCapacity, mChunkUnitSize, mMaxContextLength);
for (auto const& req : activeRequests)
{
req->moveToNextContextChunk();
}
auto stateIt = statesMap.find(itCount);
if (stateIt != statesMap.end())
{
std::vector<ChunkState> const& states = stateIt->second;
EXPECT_EQ(reqs.size(), states.size());
auto reqIt = reqs.begin();
SizeType32 i = 0;
while (reqIt != reqs.end())
{
EXPECT_TRUE(isEqual(**reqIt, states[i]))
<< "policy = " << ctxChunkPolicy << "; mItCount = " << mItCount << "; actual: " << debugStr(**reqIt)
<< "; expect: " << states[i];
++reqIt;
++i;
}
}
}
void setCtxTokenCapacity(SizeType32 ctxTokensCapacity)
{
mCtxTokensCapacity = ctxTokensCapacity;
}
void setChunkUnitSize(SizeType32 chunkUnitSize)
{
mChunkUnitSize = chunkUnitSize;
}
void setMaxContextLength(SizeType32 maxContextLength)
{
mMaxContextLength = maxContextLength;
}
void setContextLengths(std::vector<SizeType32> lengths)
{
mLengths = std::move(lengths);
}
void setDraftLengths(std::vector<SizeType32> draftLengths)
{
mDraftLengths = std::move(draftLengths);
}
template <Policy tPolicy>
void setExpectedFinalDraftLengths(std::vector<SizeType32> expectedDraftLengths)
{
mExpectedDraftLengthsMap[tPolicy] = std::move(expectedDraftLengths);
}
private:
std::vector<SizeType32> mLengths;
std::vector<SizeType32> mDraftLengths;
std::map<Policy, std::vector<SizeType32>> mExpectedDraftLengthsMap;
std::map<Policy, std::map<SizeType32, std::vector<ChunkState>>> mExpectedStates;
std::optional<SizeType32> mCtxTokensCapacity;
SizeType32 mChunkUnitSize{0};
std::optional<SizeType32> mMaxContextLength;
};
TEST_F(ContextChunkingTest, NoLimit)
{
setContextLengths({25, 25});
setChunkUnitSize(20);
setExpectedPositions<Policy::kEQUAL_PROGRESS>({{25, 25}});
setExpectedPositions<Policy::kFIRST_COME_FIRST_SERVED>({{25, 25}});
}
TEST_F(ContextChunkingTest, ContextLengthNeverSatisfied)
{
setContextLengths({25, 25});
setMaxContextLength(20);
setChunkUnitSize(100);
setExpectedPositions<Policy::kEQUAL_PROGRESS>({{0, 0}});
setExpectedPositions<Policy::kFIRST_COME_FIRST_SERVED>({{0, 0}});
}
TEST_F(ContextChunkingTest, ChunkLongerThanContext)
{
setContextLengths({25, 25});
setMaxContextLength(25);
setChunkUnitSize(30);
setExpectedPositions<Policy::kEQUAL_PROGRESS>({{25, 25}});
setExpectedPositions<Policy::kFIRST_COME_FIRST_SERVED>({{25, 25}});
}
TEST_F(ContextChunkingTest, ContextLengthSatisfied)
{
setContextLengths({10, 25});
setMaxContextLength(20);
setChunkUnitSize(10);
setExpectedPositions<Policy::kEQUAL_PROGRESS>({{10, 20}, {10, 25}});
setExpectedPositions<Policy::kFIRST_COME_FIRST_SERVED>({{10, 20}, {10, 25}});
}
TEST_F(ContextChunkingTest, TokenCapacitySmallerThanContext)
{
setContextLengths({25, 25});
setChunkUnitSize(20);
setCtxTokenCapacity(20);
setExpectedPositions<Policy::kEQUAL_PROGRESS>({{20, 0}, {25, 0}, {25, 20}, {25, 25}});
setExpectedPositions<Policy::kFIRST_COME_FIRST_SERVED>({{20, 0}, {25, 0}, {25, 20}, {25, 25}});
}
TEST_F(ContextChunkingTest, TokenCapacitySmallerThanChunkUnit)
{
setContextLengths({25, 25});
setChunkUnitSize(20);
setCtxTokenCapacity(10);
setExpectedPositions<Policy::kEQUAL_PROGRESS>({{0, 0}});
setExpectedPositions<Policy::kFIRST_COME_FIRST_SERVED>({{0, 0}});
}
TEST_F(ContextChunkingTest, SchedulingOrder)
{
setContextLengths({25, 25});
setChunkUnitSize(5);
setCtxTokenCapacity(30);
setExpectedPositions<Policy::kEQUAL_PROGRESS>({{15, 15}, {25, 25}});
setExpectedPositions<Policy::kFIRST_COME_FIRST_SERVED>({{25, 5}, {25, 25}});
}
TEST_F(ContextChunkingTest, CompletionOrder)
{
setContextLengths({25, 15});
setChunkUnitSize(5);
setCtxTokenCapacity(30);
setExpectedPositions<Policy::kEQUAL_PROGRESS>({{15, 15}, {25, 15}});
setExpectedPositions<Policy::kFIRST_COME_FIRST_SERVED>({{25, 5}, {25, 15}});
}
TEST_F(ContextChunkingTest, LongFirstShortLater)
{
setContextLengths({25, 15});
setChunkUnitSize(5);
setCtxTokenCapacity(30);
setMaxContextLength(10);
setExpectedPositions<Policy::kEQUAL_PROGRESS>({{10, 10}, {20, 15}, {25, 15}});
setExpectedPositions<Policy::kFIRST_COME_FIRST_SERVED>({{10, 10}, {20, 15}, {25, 15}});
}
TEST_F(ContextChunkingTest, FrontPriority)
{
setContextLengths({25, 25});
setChunkUnitSize(5);
setCtxTokenCapacity(15);
setExpectedPositions<Policy::kEQUAL_PROGRESS>({{10, 5}, {20, 10}, {25, 20}, {25, 25}});
setExpectedPositions<Policy::kFIRST_COME_FIRST_SERVED>({{15, 0}, {25, 5}, {25, 20}, {25, 25}});
}
TEST_F(ContextChunkingTest, DraftTokensDiscard)
{
setContextLengths({27, 27});
setDraftLengths({5, 5});
setChunkUnitSize(5);
setCtxTokenCapacity(30);
setExpectedPositions<Policy::kEQUAL_PROGRESS>({{15, 15}, {27, 27}});
setExpectedPositions<Policy::kFIRST_COME_FIRST_SERVED>({{27, 0}, {27, 27}});
setExpectedFinalDraftLengths<Policy::kEQUAL_PROGRESS>({3, 3});
setExpectedFinalDraftLengths<Policy::kFIRST_COME_FIRST_SERVED>({3, 3});
}
TEST_F(ContextChunkingTest, DraftTokensDiscard2)
{
setContextLengths({17, 17});
setDraftLengths({5, 5});
setChunkUnitSize(5);
setCtxTokenCapacity(30);
setExpectedPositions<Policy::kEQUAL_PROGRESS>({{15, 15}, {17, 17}});
setExpectedFinalDraftLengths<Policy::kEQUAL_PROGRESS>({3, 3});
setExpectedPositions<Policy::kFIRST_COME_FIRST_SERVED>({{17, 10}, {17, 17}});
setExpectedFinalDraftLengths<Policy::kFIRST_COME_FIRST_SERVED>({3, 3});
}
TEST_F(ContextChunkingTest, DraftTokensDiscard3)
{
setContextLengths({27, 27});
setDraftLengths({5, 5});
setChunkUnitSize(5);
setCtxTokenCapacity(20);
setExpectedPositions<Policy::kEQUAL_PROGRESS>({{10, 10}, {20, 20}, {27, 27}});
setExpectedPositions<Policy::kFIRST_COME_FIRST_SERVED>({{20, 0}, {27, 10}, {27, 27}});
setExpectedFinalDraftLengths<Policy::kEQUAL_PROGRESS>({3, 3});
setExpectedFinalDraftLengths<Policy::kFIRST_COME_FIRST_SERVED>({3, 3});
}
TEST_F(ContextChunkingTest, DraftTokensDiscardDueToTokenCapacity)
{
setContextLengths({23, 17});
setDraftLengths({5, 5});
setChunkUnitSize(5);
setCtxTokenCapacity(20);
setExpectedPositions<Policy::kEQUAL_PROGRESS>({{10, 10}, {23, 17}});
setExpectedFinalDraftLengths<Policy::kEQUAL_PROGRESS>({0, 0});
setExpectedPositions<Policy::kFIRST_COME_FIRST_SERVED>({{20, 0}, {23, 17}});
setExpectedFinalDraftLengths<Policy::kFIRST_COME_FIRST_SERVED>({0, 0});
}
TEST_F(ContextChunkingTest, DraftTokensDiscardDueToMaxContextLength)
{
setContextLengths({6, 6});
setDraftLengths({5, 5});
setChunkUnitSize(5);
setCtxTokenCapacity(30);
setMaxContextLength(10);
setExpectedPositions<Policy::kEQUAL_PROGRESS>({{6, 6}});
setExpectedPositions<Policy::kFIRST_COME_FIRST_SERVED>({{6, 6}});
setExpectedFinalDraftLengths<Policy::kEQUAL_PROGRESS>({4, 4});
setExpectedFinalDraftLengths<Policy::kFIRST_COME_FIRST_SERVED>({4, 4});
}
TEST_F(ContextChunkingTest, DraftTokensDiscardAll)
{
setContextLengths({25, 25});
setDraftLengths({5, 5});
setChunkUnitSize(5);
setCtxTokenCapacity(50);
setExpectedPositions<Policy::kEQUAL_PROGRESS>({{25, 25}});
setExpectedPositions<Policy::kFIRST_COME_FIRST_SERVED>({{25, 25}});
setExpectedFinalDraftLengths<Policy::kEQUAL_PROGRESS>({0, 0});
setExpectedFinalDraftLengths<Policy::kFIRST_COME_FIRST_SERVED>({0, 0});
}
TEST_F(ContextChunkingTest, DraftTokensDiscardAll2)
{
setContextLengths({25, 25});
setDraftLengths({5, 5});
setChunkUnitSize(5);
setCtxTokenCapacity(25);
setExpectedPositions<Policy::kEQUAL_PROGRESS>({{15, 10}, {25, 25}});
setExpectedPositions<Policy::kFIRST_COME_FIRST_SERVED>({{25, 0}, {25, 25}});
setExpectedFinalDraftLengths<Policy::kEQUAL_PROGRESS>({0, 0});
setExpectedFinalDraftLengths<Policy::kFIRST_COME_FIRST_SERVED>({0, 0});
}
TEST_F(ContextChunkingTest, DraftTokensNoDiscard)
{
setContextLengths({25, 25});
setDraftLengths({5, 5});
setChunkUnitSize(10);
setCtxTokenCapacity(30);
setExpectedPositions<Policy::kEQUAL_PROGRESS>({{20, 10}, {25, 25}});
setExpectedPositions<Policy::kFIRST_COME_FIRST_SERVED>({{25, 0}, {25, 25}});
setExpectedFinalDraftLengths<Policy::kEQUAL_PROGRESS>({5, 5});
setExpectedFinalDraftLengths<Policy::kFIRST_COME_FIRST_SERVED>({5, 5});
}
TEST_F(ContextChunkingTest, DraftTokensNoChunkingDiscardAll)
{
setContextLengths({4128});
setDraftLengths({3});
setChunkUnitSize(64);
setMaxContextLength(4128);
setExpectedPositions<Policy::kEQUAL_PROGRESS>({{4128}});
setExpectedPositions<Policy::kFIRST_COME_FIRST_SERVED>({{4128}});
setExpectedFinalDraftLengths<Policy::kEQUAL_PROGRESS>({0});
setExpectedFinalDraftLengths<Policy::kFIRST_COME_FIRST_SERVED>({0});
}
TEST_F(ContextChunkingTest, DraftTokensNoChunkingDiscardSome)
{
setContextLengths({4127});
setDraftLengths({3});
setChunkUnitSize(64);
setMaxContextLength(4128);
setExpectedPositions<Policy::kEQUAL_PROGRESS>({{4127}});
setExpectedPositions<Policy::kFIRST_COME_FIRST_SERVED>({{4127}});
setExpectedFinalDraftLengths<Policy::kEQUAL_PROGRESS>({1});
setExpectedFinalDraftLengths<Policy::kFIRST_COME_FIRST_SERVED>({1});
}
TEST_F(ContextChunkingTest, DraftTokensNoChunkingDiscardNone)
{
setContextLengths({4125});
setDraftLengths({3});
setChunkUnitSize(64);
setMaxContextLength(4128);
setExpectedPositions<Policy::kEQUAL_PROGRESS>({{4125}});
setExpectedPositions<Policy::kFIRST_COME_FIRST_SERVED>({{4125}});
setExpectedFinalDraftLengths<Policy::kEQUAL_PROGRESS>({3});
setExpectedFinalDraftLengths<Policy::kFIRST_COME_FIRST_SERVED>({3});
}
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