TensorRT-LLMs/cpp/tensorrt_llm/runtime/torch.h
Richard Huo ce580ce4f5
[None][feat] KV Cache Connector API (#7228)
Signed-off-by: jthomson04 <jwillthomson19@gmail.com>
Signed-off-by: richardhuo-nv <rihuo@nvidia.com>
Co-authored-by: jthomson04 <jwillthomson19@gmail.com>
Co-authored-by: Iman Tabrizian <10105175+Tabrizian@users.noreply.github.com>
Co-authored-by: Sharan Chetlur <116769508+schetlur-nv@users.noreply.github.com>
2025-08-28 23:09:27 -04:00

71 lines
2.3 KiB
C++

/*
* Copyright (c) 2022-2024, 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.
*/
#pragma once
#include "tensorrt_llm/common/assert.h"
#include "tensorrt_llm/common/logger.h"
#include "tensorrt_llm/runtime/cudaStream.h"
#include "tensorrt_llm/runtime/iTensor.h"
#include "tensorrt_llm/runtime/torchUtils.h"
#include <ATen/ATen.h>
#include <stdexcept>
namespace tensorrt_llm::runtime
{
class Torch
{
public:
static at::Tensor tensor(ITensor::SharedPtr tensor)
{
auto const tensorOptions = at::device(TorchUtils::device((*tensor).data()))
.pinned_memory((*tensor).getMemoryType() == MemoryType::kPINNEDPOOL)
.dtype(TorchUtils::dataType((*tensor).getDataType()))
.layout(at::kStrided);
return at::for_blob(tensor->data(), TorchUtils::shape(tensor->getShape())) // NOLINT(*-use-after-move)
.options(tensorOptions)
.deleter(
[ptr = std::move(tensor)](void* data) mutable
{
if (data != ptr->data())
{
TLLM_LOG_WARNING("Torch tensor refers to deallocated memory.");
}
ptr.reset();
})
.make_tensor();
}
static at::Tensor buffer(IBuffer::SharedPtr buffer)
{
auto const shape = ITensor::makeShape({static_cast<runtime::SizeType32>(buffer->getSize())});
return tensor(ITensor::view(std::move(buffer), shape));
}
static void setCurrentStream(runtime::CudaStream& cudaStream)
{
at::cuda::setCurrentCUDAStream(TorchUtils::stream(cudaStream));
}
private:
Torch() = default;
};
} // namespace tensorrt_llm::runtime