TensorRT-LLMs/cpp/tensorrt_llm/kernels/beamSearchKernels.cu
Kaiyu Xie 66ef1df492
Update TensorRT-LLM (#1492)
* Update TensorRT-LLM

---------

Co-authored-by: Loki <lokravi@amazon.com>
2024-04-24 14:44:22 +08:00

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/*
* Copyright (c) 2020-2023, 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/common/cudaUtils.h"
#include "tensorrt_llm/kernels/beamSearchKernels.h"
using namespace tensorrt_llm::common;
namespace tensorrt_llm
{
namespace kernels
{
template <typename T, int PAD_K>
void topKSoftMaxKernelLauncher(
T const* logits, T const* bias, void* workspace, BeamHypotheses& bh, cudaStream_t stream);
#define CASE_K(PAD_K) \
topKSoftMaxKernelLauncher<T, PAD_K>(logits, bias, workspace, bh, stream); \
break;
template <typename T>
void invokeTopkSoftMax(T const* logits, T const* bias, void* workspace, BeamHypotheses& bh, cudaStream_t stream)
{
switch (padToNextPowerOfTwo(bh.nBeamWidth)) // PAD_K must be a compilation-time constant
{
case 1:
case 2:
case 4: // 0 < beam_width <= 4
CASE_K(4)
case 8: // 4 < beam_width <= 8
CASE_K(8)
#ifndef FAST_BUILD // For fast build, skip case 3, 4, 5
case 16: // 9 < beam_width <= 16
CASE_K(16)
case 32: // 16 < beam_width <= 32
CASE_K(32)
case 64: // 32 < beam_width <= 64
CASE_K(64)
#endif // FAST_BUILD
default:
throw std::runtime_error(
fmtstr("%s:%d Maximum beam width supported for beam search (%d) is larger than beam_width now use (%d)",
__FILE__, __LINE__, nMaxBeamWidth, bh.nBeamWidth));
}
}
#undef CASE_K
template void invokeTopkSoftMax<float>(
float const* logits, float const* bias, void* workspace, BeamHypotheses& bh, cudaStream_t stream);
template void invokeTopkSoftMax<half>(
half const* logits, half const* bias, void* workspace, BeamHypotheses& bh, cudaStream_t stream);
} // namespace kernels
} // namespace tensorrt_llm