mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
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57 lines
2.7 KiB
C++
57 lines
2.7 KiB
C++
/*
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* Copyright (c) 2022-2024, NVIDIA CORPORATION. All rights reserved.
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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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#pragma once
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#include "cuda_runtime.h"
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#include "tensorrt_llm/common/cudaUtils.h"
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#include "tensorrt_llm/common/dataType.h"
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#include "ub_allocator.h"
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namespace tensorrt_llm::runtime::ub
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{
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void ub_initialize(tensorrt_llm::runtime::WorldConfig const& world_config);
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void ub_initialize(int tp_size);
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bool ub_is_initialized();
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void* ub_allocate(int idx, size_t bytes);
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void ub_deallocate(void* addr);
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UBBuffer ub_get(int idx);
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communicator* ub_comm();
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bool ub_supported();
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}; // namespace tensorrt_llm::runtime::ub
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namespace tensorrt_llm::kernels::ub
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{
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using namespace tensorrt_llm::runtime::ub;
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void allreduce2_userbuff_inplace_launcher(int const handler, size_t const offset, size_t const elements,
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nvinfer1::DataType dataType, communicator* comm, cudaStream_t stream = 0);
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int allgather2_userbuff_residual_launcher(int const handler, size_t const offset, size_t const elements,
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int const hidden_size, void* residual, nvinfer1::DataType dataType, communicator* comm, cudaStream_t stream,
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bool force_enable = false);
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int allreduce2_userbuff_inplace_rmsnorm_launcher(int const handler, size_t const offset, size_t const elements,
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int const hidden_size, void* beta, void* gamma, float eps, void* residual_in, void* residual_out,
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nvinfer1::DataType dataType, communicator* comm, cudaStream_t stream);
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int allreduce2_userbuff_inplace_rmsnorm_quant_launcher(int const handler, size_t const offset, int const out_handler,
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size_t const out_offset, size_t const elements, int const hidden_size, void* beta, void* gamma, float eps,
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float* scalefactor, void* residual_in, void* residual_out, nvinfer1::DataType dataType, communicator* comm,
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cudaStream_t stream);
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int allreduce2_userbuff_inplace_rmsnorm_quant_fp4_launcher(int const handler, size_t const offset,
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int const out_handler, size_t const out_offset, int const scale_handler, size_t const scale_offset,
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size_t const elements, int const hidden_size, void* beta, void* gamma, float eps, float* scalefactor,
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void* residual_in, void* residual_out, nvinfer1::DataType dataType, communicator* comm, cudaStream_t stream);
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} // namespace tensorrt_llm::kernels::ub
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