TensorRT-LLMs/cpp/tensorrt_llm/runtime/tensorView.h
石晓伟 2a115dae84
Update TensorRT-LLM (#1793)
Co-authored-by: DreamGenX <x@dreamgen.com>
Co-authored-by: Ace-RR <78812427+Ace-RR@users.noreply.github.com>
Co-authored-by: bprus <39293131+bprus@users.noreply.github.com>
Co-authored-by: janpetrov <janpetrov@icloud.com>
2024-06-18 18:18:23 +08:00

87 lines
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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/runtime/bufferView.h"
#include "tensorrt_llm/runtime/iTensor.h"
#include <stdexcept>
namespace tensorrt_llm::runtime
{
class TensorView : virtual public ITensor, public BufferView
{
public:
using Base = BufferView;
TensorView(ITensor::SharedPtr const& buffer, size_t offset, size_t size)
: BufferView{buffer, offset * sizeDim0(*buffer), size * sizeDim0(*buffer)}
, mDims{buffer->getShape()}
{
auto const dim0 = static_cast<size_t>((mDims.nbDims >= 0 && mDims.d[0] >= 0) ? mDims.d[0] : 0);
if (offset > dim0)
{
throw std::out_of_range("offset exceeds dimension 0");
}
if (offset + size > dim0)
{
throw std::out_of_range("slice exceeds dimension 0");
}
mDims.d[0] = size;
}
TensorView(IBuffer::SharedPtr const& buffer, size_t offset, size_t size, nvinfer1::Dims const& dims)
: BufferView{buffer, offset, size}
, mDims{dims}
{
Base::resize(ITensor::volumeNonNegative(dims));
}
[[nodiscard]] nvinfer1::Dims const& getShape() const override
{
return mDims;
}
void reshape(nvinfer1::Dims const& dims) override
{
Base::resize(ITensor::volumeNonNegative(dims));
mDims = dims;
}
void resize(std::size_t newSize) override
{
ITensor::resize(newSize);
}
void release() override
{
Base::release();
mDims.nbDims = 0;
}
private:
static std::size_t sizeDim0(ITensor const& tensor)
{
auto& shape = tensor.getShape();
return shape.nbDims > 0 && shape.d[0] > 0 ? ITensor::volume(shape) / shape.d[0] : 0;
}
nvinfer1::Dims mDims{};
};
} // namespace tensorrt_llm::runtime