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75 lines
2.9 KiB
C++
75 lines
2.9 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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#ifndef TRTLLM_MNNVL_ALLREDUCE_KERNELS_H
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#define TRTLLM_MNNVL_ALLREDUCE_KERNELS_H
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#include "tensorrt_llm/common/config.h"
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#include <NvInferRuntime.h>
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#include <cstdint>
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TRTLLM_NAMESPACE_BEGIN
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namespace kernels::mnnvl
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{
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/**
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* \brief Parameters for MNNVL (Multi-Node NVLink) AllReduce fusion operations.
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*
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* \note This struct is used by both oneshotAllreduceFusionOp() and twoshotAllreduceFusionOp()
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*
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* \see oneshotAllreduceFusionOp
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* \see twoshotAllreduceFusionOp
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*/
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struct AllReduceFusionParams
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{
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//! \name Environmental and Auxiliary Data
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//! @{
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int nRanks; //!< Total number of participating ranks in the AllReduce operation
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int rank; //!< Current rank ID
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nvinfer1::DataType dType; //!< Data type of the tensors (e.g., FP16, BF16, FP32)
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int numTokens; //!< Number of tokens in the input tensor
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int tokenDim; //!< Hidden Dimension
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void** bufferPtrsDev; //!< Unicast Device pointers to communication buffers for each rank
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void* bufferPtrLocal; //!< Local buffer pointer for temporary storage (i.e., bufferPtrsDev[rank])
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void* multicastPtr; //!< Multicast buffer pointer.
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uint32_t* bufferFlags; //!< Synchronization flags for coordinating communication phases
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bool rmsNormFusion; //!< Whether to fuse RMS normalization with the AllReduce operation
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//! @}
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//! \name Input and Output Data
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//! @{
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void const* input; //!< Input tensor to be reduced across all ranks
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void const* residualIn; //!< Residual input tensor for skip connections (used when rmsnormFusion=true)
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void const* gamma; //!< Gamma parameters for RMS normalization (used when rmsnormFusion=true)
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double epsilon; //!< Epsilon value for RMS normalization numerical stability (used when rmsnormFusion=true)
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void* residualOut; //!< Output tensor for residual connection result (used when rmsnormFusion=true)
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void* output; //!< Final output tensor containing the AllReduce result
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cudaStream_t stream; //!< CUDA stream for asynchronous kernel execution
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//! @}
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};
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void oneshotAllreduceFusionOp(AllReduceFusionParams const& params);
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void twoshotAllreduceFusionOp(AllReduceFusionParams const& params);
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} // namespace kernels::mnnvl
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TRTLLM_NAMESPACE_END
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#endif // TRTLLM_MNNVL_ALLREDUCE_KERNELS_H
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