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64 lines
1.5 KiB
C++
64 lines
1.5 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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#pragma once
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#include <NvInferRuntime.h>
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#include <array>
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#include <cstddef>
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#include <cstdint>
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namespace tensorrt_llm::kernels::mnnvl
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{
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struct AllReduceParams
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{
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int nranks;
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int rank;
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nvinfer1::DataType dtype;
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int buffer_M;
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int num_tokens;
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int token_dim;
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uint32_t buffer_size;
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void** buffer_ptrs_dev;
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void* multicast_ptr;
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void* buffer_flags;
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bool wait_for_results;
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void* input;
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void* output;
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cudaStream_t stream;
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};
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void twoshot_allreduce_op(AllReduceParams const& params);
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struct RMSNormParams
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{
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void* residual_output;
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void* output;
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void const* input;
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void const* gamma;
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double epsilon;
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void* residual;
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uint32_t buffer_size;
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uint32_t* buffer_flags;
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int batch;
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int hidden_dim;
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cudaStream_t stream;
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nvinfer1::DataType dtype;
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};
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void twoshot_rmsnorm_op(RMSNormParams const& params);
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} // namespace tensorrt_llm::kernels::mnnvl
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