mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
synced 2026-01-14 06:27:45 +08:00
60 lines
2.0 KiB
C++
60 lines
2.0 KiB
C++
/*
|
|
* Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved.
|
|
*
|
|
* Licensed under the Apache License, Version 2.0 (the "License");
|
|
* you may not use this file except in compliance with the License.
|
|
* You may obtain a copy of the License at
|
|
*
|
|
* http://www.apache.org/licenses/LICENSE-2.0
|
|
*
|
|
* Unless required by applicable law or agreed to in writing, software
|
|
* distributed under the License is distributed on an "AS IS" BASIS,
|
|
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
* See the License for the specific language governing permissions and
|
|
* limitations under the License.
|
|
*/
|
|
|
|
#include "tensorrt_llm/common/dataType.h"
|
|
#include "tensorrt_llm/kernels/userbuffers/ub_interface.h"
|
|
#include "tensorrt_llm/runtime/torchUtils.h"
|
|
#include "tensorrt_llm/thop/thUtils.h"
|
|
#include "userbuffersTensor.h"
|
|
|
|
#include <torch/extension.h>
|
|
|
|
namespace torch_ext
|
|
{
|
|
|
|
torch::Tensor userbuffers_allreduce_finalize(torch::Tensor input, bool force_applying_finalize)
|
|
{
|
|
#if ENABLE_MULTI_DEVICE
|
|
auto stream = at::cuda::getCurrentCUDAStream(input.get_device());
|
|
|
|
size_t size = input.numel();
|
|
int hidden_size = input.size(-1);
|
|
|
|
auto& ub_manager = tensorrt_llm::runtime::ub::UserBuffersManager::get_instance();
|
|
auto [output, ub_buffer] = tensorrt_llm::torch_ext::create_userbuffers_tensor(input.sizes(), input.scalar_type());
|
|
|
|
auto const dtype = tensorrt_llm::runtime::TorchUtils::dataType(input.scalar_type());
|
|
|
|
tensorrt_llm::kernels::ub::allgather2_userbuff_residual_launcher(ub_buffer.handle, 0, size, hidden_size,
|
|
input.data_ptr(), dtype, ub_manager.comm(), stream, force_applying_finalize);
|
|
return output;
|
|
#else
|
|
return input;
|
|
#endif // ENABLE_MULTI_DEVICE
|
|
}
|
|
|
|
} // namespace torch_ext
|
|
|
|
TORCH_LIBRARY_FRAGMENT(trtllm, m)
|
|
{
|
|
m.def("userbuffers_allreduce_finalize(Tensor input, bool force_applying_finalize) -> Tensor");
|
|
}
|
|
|
|
TORCH_LIBRARY_IMPL(trtllm, CUDA, m)
|
|
{
|
|
m.impl("userbuffers_allreduce_finalize", &torch_ext::userbuffers_allreduce_finalize);
|
|
}
|