mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
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198 lines
6.5 KiB
C++
198 lines
6.5 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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#include "ub_interface.h"
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#include "tensorrt_llm/common/config.h"
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#include "tensorrt_llm/common/cudaDriverWrapper.h"
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#include <cuda_runtime.h>
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#include <cuda_runtime_api.h>
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#if ENABLE_MULTI_DEVICE
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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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{
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UserBufferAllocator::Instance().initialize(world_config);
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}
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void ub_initialize(int tp_size)
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{
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int num_devices;
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TLLM_CUDA_CHECK(cudaGetDeviceCount(&num_devices));
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::tensorrt_llm::runtime::WorldConfig world_config(tp_size, 1, 1, COMM_SESSION.getRank(), num_devices);
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UserBufferAllocator::Instance().initialize(world_config);
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}
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bool ub_is_initialized()
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{
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return UserBufferAllocator::Instance().isInitialized();
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}
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UBBuffer ub_allocate(size_t bytes)
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{
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return UserBufferAllocator::Instance().allocate(bytes);
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}
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void ub_deallocate(void* addr)
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{
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UserBufferAllocator::Instance().deallocate(addr);
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}
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UBBuffer ub_get(int idx)
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{
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return UserBufferAllocator::Instance().get(idx);
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}
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communicator* ub_comm()
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{
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return UserBufferAllocator::Instance().comm();
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}
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bool ub_supported()
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{
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int cur_dev;
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TLLM_CUDA_CHECK(cudaGetDevice(&cur_dev));
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// UB requires Multicast support
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int mc_support;
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TLLM_CU_CHECK(tensorrt_llm::common::CUDADriverWrapper::getInstance()->cuDeviceGetAttribute(
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&mc_support, CU_DEVICE_ATTRIBUTE_MULTICAST_SUPPORTED, cur_dev));
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return mc_support;
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}
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}; // namespace tensorrt_llm::runtime::ub
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using namespace tensorrt_llm::runtime::ub;
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TRTLLM_NAMESPACE_BEGIN
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namespace kernels::ub
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{
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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)
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{
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allreduce2_userbuff_inplace_impl(handler, offset, elements, dataType, comm, stream);
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}
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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)
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{
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return allgather2_userbuff_residual_impl(
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handler, offset, elements, hidden_size, residual, dataType, comm, stream, force_enable);
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}
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int allreduce2_userbuff_rmsnorm_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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void* residual_in, void* residual_out, nvinfer1::DataType dataType, communicator* comm, cudaStream_t stream)
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{
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return allreduce2_userbuff_rmsnorm_impl(handler, offset, out_handler, out_offset, elements, hidden_size, beta,
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gamma, eps, residual_in, residual_out, dataType, comm, stream);
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}
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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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{
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return allreduce2_userbuff_inplace_rmsnorm_quant_impl(handler, offset, out_handler, out_offset, elements,
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hidden_size, beta, gamma, eps, scalefactor, residual_in, residual_out, dataType, comm, stream);
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}
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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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{
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return allreduce2_userbuff_inplace_rmsnorm_quant_fp4_impl(handler, offset, out_handler, out_offset, scale_handler,
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scale_offset, elements, hidden_size, beta, gamma, eps, scalefactor, residual_in, residual_out, dataType, comm,
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stream);
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}
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} // namespace kernels::ub
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TRTLLM_NAMESPACE_END
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#else
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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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{
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return false;
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}
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UBBuffer ub_allocate(size_t bytes)
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{
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return UBBuffer();
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}
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void ub_deallocate(void* addr) {}
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UBBuffer ub_get(int idx)
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{
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return UBBuffer();
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}
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communicator* ub_comm()
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{
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return nullptr;
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}
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bool ub_supported()
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{
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return false;
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}
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}; // namespace tensorrt_llm::runtime::ub
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using namespace tensorrt_llm::runtime::ub;
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TRTLLM_NAMESPACE_BEGIN
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namespace kernels::ub
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{
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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)
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{
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}
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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)
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{
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return 0;
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}
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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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{
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return 0;
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}
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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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{
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return 0;
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}
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} // namespace kernels::ub
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TRTLLM_NAMESPACE_END
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#endif
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