TensorRT-LLMs/cpp/tests/unit_tests/layers/beamSearchLayerTest.cpp
wili eba3623a54
Feat: Variable-Beam-Width-Search (VBWS) part4 (#3979)
* feat/vbws-part4-v1.8: rebase

Signed-off-by: wili-65535 <wili-65535@users.noreply.github.com>

* feat/vbws-part4-v1.9: fix incorrect output when using short output length

Signed-off-by: wili-65535 <wili-65535@users.noreply.github.com>

* v1.9.1: remove useless variables

Signed-off-by: wili-65535 <wili-65535@users.noreply.github.com>

* v1.9.2:fix incorrect output when using short output length

Signed-off-by: wili-65535 <wili-65535@users.noreply.github.com>

* v1.9.3: rebase

Signed-off-by: wili-65535 <wili-65535@users.noreply.github.com>

* v1.9.4: rebase

Signed-off-by: wili-65535 <wili-65535@users.noreply.github.com>

* v1.9.5: remove API change

Signed-off-by: wili-65535 <wili-65535@users.noreply.github.com>

---------

Signed-off-by: wili-65535 <wili-65535@users.noreply.github.com>
Co-authored-by: wili-65535 <wili-65535@users.noreply.github.com>
2025-05-12 22:32:29 +02:00

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C++

/*
* Copyright (c) 2022-2024, NVIDIA CORPORATION. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "tensorrt_llm/executor/types.h"
#include "tests/unit_tests/layers/baseSamplingLayerTest.h"
namespace
{
namespace tle = tensorrt_llm::executor;
using namespace tensorrt_llm::tests::layers::sampling;
using namespace tensorrt_llm::runtime;
template <typename T>
class BeamSearchLayerTest : public BaseSamplingLayerTest<T>
{
void SetUp() override
{
this->mStream = std::make_shared<tensorrt_llm::runtime::CudaStream>();
this->mBufferManager = std::make_shared<tensorrt_llm::runtime::BufferManager>(this->mStream);
}
void initLayer(TestSamplingParams const& params) override
{
auto decodingMode = tle::DecodingMode::BeamSearch();
auto const decodingDomain = tensorrt_llm::layers::DecoderDomain(
this->maxBatchSize(), params.beamWidth, this->mVocabSize, this->mVocabSizePadded);
this->mSamplingLayer = std::make_shared<tensorrt_llm::layers::BeamSearchLayer<T>>(
decodingMode, decodingDomain, this->mBufferManager);
}
};
TYPED_TEST_SUITE(BeamSearchLayerTest, FloatAndHalfTypes);
TYPED_TEST(BeamSearchLayerTest, BeamWidth2)
{
TestSamplingParams params;
params.batchSize = 3;
params.beamWidth = 2;
std::vector<std::set<int32_t>> expectedOutputIds{
// batch
{4}, {4}, {4}, // step 0
{0}, {0}, {0}, // step 1
{2}, {2}, {2}, // step 2
{0}, {0}, {0}, // step 3
{4}, {4}, {4}, // step 0
{0}, {0}, {0}, // step 1
{2}, {2}, {2}, // step 2
{0}, {0}, {0}, // step 3
};
this->runTest(expectedOutputIds, params);
}
} // namespace