TensorRT-LLMs/cpp/tests/unit_tests/layers/topKSamplingLayerTest.cpp
Dan Blanaru 16d2467ea8 Update TensorRT-LLM (#2755)
* Update TensorRT-LLM

---------

Co-authored-by: Denis Kayshev <topenkoff@gmail.com>
Co-authored-by: akhoroshev <arthoroshev@gmail.com>
Co-authored-by: Patrick Reiter Horn <patrick.horn@gmail.com>

Update
2025-02-11 03:01:00 +00:00

310 lines
9.9 KiB
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 "tests/unit_tests/layers/baseSamplingLayerTest.h"
namespace
{
using namespace tensorrt_llm::tests::layers::sampling;
using namespace tensorrt_llm::runtime;
template <typename T>
class TopKSamplingLayerTest : 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 const decodingDomain
= tensorrt_llm::layers::DecoderDomain(this->maxBatchSize(), 1, this->mVocabSize, this->mVocabSizePadded);
this->mSamplingLayer
= std::make_shared<tensorrt_llm::layers::TopKSamplingLayer<T>>(decodingDomain, this->mBufferManager);
}
};
TYPED_TEST_SUITE(TopKSamplingLayerTest, FloatAndHalfTypes);
TYPED_TEST(TopKSamplingLayerTest, TopK)
{
SizeType32 topK = 2;
float topP = 0.0f;
TestSamplingParams params;
params.topKs = {topK};
params.topPs = {topP};
std::vector<std::set<int32_t>> expectedOutputIds{
// batch
{4, 5}, {4, 5}, {4, 5}, {4, 5}, {4, 5}, {4, 5}, // step 0
{0, 1}, {0, 1}, {0, 1}, {0, 1}, {0, 1}, {0, 1}, // step 1
{2, 3}, {2, 3}, {2, 3}, {2, 3}, {2, 3}, {2, 3}, // step 2
{0, 1}, {0, 1}, {0, 1}, {0, 1}, {0, 1}, {0, 1} // step 3
};
this->runTest(expectedOutputIds, params);
}
TYPED_TEST(TopKSamplingLayerTest, TopK1TopP0)
{
SizeType32 topK = 1;
float topP = 0.0f;
TestSamplingParams params;
params.topKs = {topK};
params.topPs = {topP};
std::vector<std::set<int32_t>> expectedOutputIds{
// batch
{4}, {4}, {4}, {4}, {4}, {4}, // step 0
{0}, {0}, {0}, {0}, {0}, {0}, // step 1
{2}, {2}, {2}, {2}, {2}, {2}, // step 2
{0}, {0}, {0}, {0}, {0}, {0} // step 3
};
this->runTest(expectedOutputIds, params);
}
TYPED_TEST(TopKSamplingLayerTest, BatchTopK)
{
std::vector<SizeType32> topKs = {2, 1, 1, 2, 1, 1};
TestSamplingParams params;
params.topKs = topKs;
params.topPs = {1.0f};
std::vector<std::set<int32_t>> expectedOutputIds{
// batch
{4, 5}, {4}, {4}, {4, 5}, {4}, {4}, // step 0
{0, 1}, {0}, {0}, {0, 1}, {0}, {0}, // step 1
{2, 3}, {2}, {2}, {2, 3}, {2}, {2}, // step 2
{0, 1}, {0}, {0}, {0, 1}, {0}, {0} // step 3
};
this->runTest(expectedOutputIds, params);
}
TYPED_TEST(TopKSamplingLayerTest, SkipDecode)
{
// Skip topK decode
float topP = 0.3;
TestSamplingParams params;
params.topPs = {topP};
std::vector<std::set<int32_t>> expectedOutputIds{
// batch
{0}, {0}, {0}, {0}, {0}, {0}, // step 0
{0}, {0}, {0}, {0}, {0}, {0}, // step 1
{0}, {0}, {0}, {0}, {0}, {0}, // step 2
{0}, {0}, {0}, {0}, {0}, {0} // step 3
};
this->runTest(expectedOutputIds, params);
}
TYPED_TEST(TopKSamplingLayerTest, TopKTopP)
{
SizeType32 topK = 2;
float topP = 0.3;
TestSamplingParams params;
params.topKs = {topK};
params.topPs = {topP};
std::vector<std::set<int32_t>> expectedOutputIds{
// batch
{4}, {4}, {4}, {4}, {4}, {4}, // step 0
{0}, {0}, {0}, {0}, {0}, {0}, // step 1
{2}, {2}, {2}, {2}, {2}, {2}, // step 2
{0}, {0}, {0}, {0}, {0}, {0} // step 3
};
this->runTest(expectedOutputIds, params);
}
TYPED_TEST(TopKSamplingLayerTest, BatchTopKTopP)
{
std::vector<SizeType32> topKs = {2, 2, 1, 2, 2, 1};
float topP = 0.3;
TestSamplingParams params;
params.topKs = topKs;
params.topPs = {topP};
std::vector<std::set<int32_t>> expectedOutputIds{
// batch
{4}, {4}, {4}, {4}, {4}, {4}, // step 0
{0}, {0}, {0}, {0}, {0}, {0}, // step 1
{2}, {2}, {2}, {2}, {2}, {2}, // step 2
{0}, {0}, {0}, {0}, {0}, {0} // step 3
};
this->runTest(expectedOutputIds, params);
}
TYPED_TEST(TopKSamplingLayerTest, TopKBatchTopP)
{
SizeType32 topK = 2;
std::vector<float> topPs = {0.5, 0.3, 0.5, 0.5, 0.3, 0.5};
TestSamplingParams params;
params.topKs = {topK};
params.topPs = topPs;
std::vector<std::set<int32_t>> expectedOutputIds{
// batch
{4, 5}, {4}, {4, 5}, {4, 5}, {4}, {4, 5}, // step 0
{0, 1}, {0}, {0, 1}, {0, 1}, {0}, {0, 1}, // step 1
{2, 3}, {2}, {2, 3}, {2, 3}, {2}, {2, 3}, // step 2
{0, 1}, {0}, {0, 1}, {0, 1}, {0}, {0, 1} // step 3
};
this->runTest(expectedOutputIds, params);
}
TYPED_TEST(TopKSamplingLayerTest, BatchTopKBatchTopP)
{
std::vector<SizeType32> topKs = {2, 2, 1, 2, 2, 1};
std::vector<float> topPs = {0.0, 0.3, 0.5, 0.0, 0.3, 0.5};
TestSamplingParams params;
params.topKs = topKs;
params.topPs = topPs;
std::vector<std::set<int32_t>> expectedOutputIds{
// batch
{4, 5}, {4}, {4}, {4, 5}, {4}, {4}, // step 0
{0, 1}, {0}, {0}, {0, 1}, {0}, {0}, // step 1
{2, 3}, {2}, {2}, {2, 3}, {2}, {2}, // step 2
{0, 1}, {0}, {0}, {0, 1}, {0}, {0} // step 3
};
this->runTest(expectedOutputIds, params);
}
TYPED_TEST(TopKSamplingLayerTest, InvalidArgsZeroTopK)
{
SizeType32 topK = 0;
TestSamplingParams params;
params.topKs = {topK};
std::vector<std::set<int32_t>> expectedOutputIds{
// batch
{4}, {4}, {4}, {4}, {4}, {4}, // step 0
{0}, {0}, {0}, {0}, {0}, {0}, // step 1
{2}, {2}, {2}, {2}, {2}, {2}, // step 2
{0}, {0}, {0}, {0}, {0}, {0} // step 3
};
this->runTest(expectedOutputIds, params);
}
TYPED_TEST(TopKSamplingLayerTest, InvalidArgsZeroTopP)
{
float topP = 0;
TestSamplingParams params;
params.topPs = {topP};
std::vector<std::set<int32_t>> expectedOutputIds{
// batch
{4}, {4}, {4}, {4}, {4}, {4}, // step 0
{0}, {0}, {0}, {0}, {0}, {0}, // step 1
{2}, {2}, {2}, {2}, {2}, {2}, // step 2
{0}, {0}, {0}, {0}, {0}, {0} // step 3
};
this->runTest(expectedOutputIds, params);
}
TYPED_TEST(TopKSamplingLayerTest, InvalidArgsZeroTopKTopP)
{
SizeType32 topK = 0;
float topP = 0;
TestSamplingParams params;
params.topPs = {topP};
params.topKs = {topK};
std::vector<std::set<int32_t>> expectedOutputIds{
// batch
{4}, {4}, {4}, {4}, {4}, {4}, // step 0
{0}, {0}, {0}, {0}, {0}, {0}, // step 1
{2}, {2}, {2}, {2}, {2}, {2}, // step 2
{0}, {0}, {0}, {0}, {0}, {0} // step 3
};
this->runTest(expectedOutputIds, params);
}
TYPED_TEST(TopKSamplingLayerTest, InvalidArgsZeroBatchTopKTopP)
{
std::vector<SizeType32> topKs = {0, 0, 0, 0, 0, 0};
float topP = 0;
TestSamplingParams params;
params.topPs = {topP};
params.topKs = topKs;
std::vector<std::set<int32_t>> expectedOutputIds{
// batch
{4}, {4}, {4}, {4}, {4}, {4}, // step 0
{0}, {0}, {0}, {0}, {0}, {0}, // step 1
{2}, {2}, {2}, {2}, {2}, {2}, // step 2
{0}, {0}, {0}, {0}, {0}, {0} // step 3
};
this->runTest(expectedOutputIds, params);
}
TYPED_TEST(TopKSamplingLayerTest, InvalidArgsZeroTopKBatchTopP)
{
SizeType32 topK = 0;
std::vector<float> topPs = {0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f};
TestSamplingParams params;
params.topPs = topPs;
params.topKs = {topK};
std::vector<std::set<int32_t>> expectedOutputIds{
// batch
{4}, {4}, {4}, {4}, {4}, {4}, // step 0
{0}, {0}, {0}, {0}, {0}, {0}, // step 1
{2}, {2}, {2}, {2}, {2}, {2}, // step 2
{0}, {0}, {0}, {0}, {0}, {0} // step 3
};
this->runTest(expectedOutputIds, params);
}
TYPED_TEST(TopKSamplingLayerTest, InvalidArgsBatchTopKContainZero)
{
std::vector<SizeType32> topKs = {2, 1, 0, 0, 2, 1};
TestSamplingParams params;
params.topKs = topKs;
std::vector<std::set<int32_t>> expectedOutputIds{
// batch
{4, 5}, {4}, {4}, {4}, {4, 5}, {4}, // step 0
{0, 1}, {0}, {0}, {0}, {0, 1}, {0}, // step 1
{2, 3}, {2}, {2}, {2}, {2, 3}, {2}, // step 2
{0, 1}, {0}, {0}, {0}, {0, 1}, {0} // step 3
};
this->runTest(expectedOutputIds, params);
}
TYPED_TEST(TopKSamplingLayerTest, InvalidArgsBatchTopKTopPContainZero)
{
std::vector<SizeType32> topKs = {2, 2, 1, 0, 2, 0};
float topP = 0.0;
TestSamplingParams params;
params.topPs = {topP};
params.topKs = topKs;
std::vector<std::set<int32_t>> expectedOutputIds{
// batch
{4, 5}, {4, 5}, {4}, {4}, {4, 5}, {4}, // step 0
{0, 1}, {0, 1}, {0}, {0}, {0, 1}, {0}, // step 1
{2, 3}, {2, 3}, {2}, {2}, {2, 3}, {2}, // step 2
{0, 1}, {0, 1}, {0}, {0}, {0, 1}, {0} // step 3
};
this->runTest(expectedOutputIds, params);
}
TYPED_TEST(TopKSamplingLayerTest, InvalidArgsBatchTopKBatchTopPContainZero)
{
std::vector<SizeType32> topKs = {0, 2, 1, 2, 2, 0};
std::vector<float> topPs = {0.0, 0.3, 0.9, 0.0, 0.3, 0.5};
TestSamplingParams params;
params.topPs = topPs;
params.topKs = topKs;
std::vector<std::set<int32_t>> expectedOutputIds{
// batch
{4}, {4}, {4}, {4, 5}, {4}, {0}, // step 0
{0}, {0}, {0}, {0, 1}, {0}, {0}, // step 1
{2}, {2}, {2}, {2, 3}, {2}, {0}, // step 2
{0}, {0}, {0}, {0, 1}, {0}, {0} // step 3
};
this->runTest(expectedOutputIds, params);
}
} // namespace