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https://github.com/NVIDIA/TensorRT-LLM.git
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16d2467ea8
* Update TensorRT-LLM --------- Co-authored-by: Denis Kayshev <topenkoff@gmail.com> Co-authored-by: akhoroshev <arthoroshev@gmail.com> Co-authored-by: Patrick Reiter Horn <patrick.horn@gmail.com> Update
64 lines
2.2 KiB
C++
64 lines
2.2 KiB
C++
/*
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* Copyright (c) 2025, 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 "tensorrt_llm/common/dataType.h"
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#include "tensorrt_llm/kernels/userbuffers/ub_interface.h"
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#include "tensorrt_llm/runtime/torchUtils.h"
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#include "tensorrt_llm/thop/thUtils.h"
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#include <torch/extension.h>
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namespace torch_ext
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{
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torch::Tensor userbuffers_allreduce_finalize(torch::Tensor input)
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{
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#if ENABLE_MULTI_DEVICE
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auto stream = at::cuda::getCurrentCUDAStream(input.get_device());
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auto output = torch::empty_like(input);
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size_t size = input.numel();
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int hidden_size = input.size(-1);
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TLLM_CHECK_WITH_INFO(tensorrt_llm::runtime::ub::ub_is_initialized(), "UserBuffer has not been initialized!");
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auto ub_buffer1 = tensorrt_llm::runtime::ub::ub_get(1);
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auto ub_comm = tensorrt_llm::runtime::ub::ub_comm();
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auto const dtype = tensorrt_llm::runtime::TorchUtils::dataType(input.scalar_type());
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tensorrt_llm::kernels::ub::allgather2_userbuff_residual_launcher(
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ub_buffer1.handle, 0, size, hidden_size, input.data_ptr(), dtype, ub_comm, stream);
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auto const elem_size = tensorrt_llm::common::getDTypeSize(dtype);
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// Force memcpy to avoid ub tensor exposed to torch graph.
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TLLM_CUDA_CHECK(
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cudaMemcpyAsync(output.data_ptr(), ub_buffer1.addr, size * elem_size, cudaMemcpyDeviceToDevice, stream));
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return output;
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#else
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return input;
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#endif // ENABLE_MULTI_DEVICE
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}
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} // namespace torch_ext
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TORCH_LIBRARY_FRAGMENT(trtllm, m)
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{
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m.def("userbuffers_allreduce_finalize(Tensor input) -> Tensor");
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}
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TORCH_LIBRARY_IMPL(trtllm, CUDA, m)
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{
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m.impl("userbuffers_allreduce_finalize", &torch_ext::userbuffers_allreduce_finalize);
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}
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