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ShapedWeights.hpp
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ShapedWeights.hpp
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/*
* Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
*
* Permission is hereby granted, free of charge, to any person obtaining a
* copy of this software and associated documentation files (the "Software"),
* to deal in the Software without restriction, including without limitation
* the rights to use, copy, modify, merge, publish, distribute, sublicense,
* and/or sell copies of the Software, and to permit persons to whom the
* Software is furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
* THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
* FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
* DEALINGS IN THE SOFTWARE.
*/
#pragma once
#include <onnx/onnx.pb.h>
#include <NvInfer.h>
namespace onnx2trt {
class ShapedWeights {
public:
typedef ::ONNX_NAMESPACE::TensorProto::DataType DataType;
DataType type;
void* values;
nvinfer1::Dims shape;
static ShapedWeights empty(DataType type);
ShapedWeights();
explicit ShapedWeights(DataType type, void* values, nvinfer1::Dims shape_);
size_t count() const;
size_t size_bytes() const;
operator bool() const;
operator nvinfer1::Weights() const;
};
bool transposeWeights(ShapedWeights const& weights,
nvinfer1::Permutation const& perm,
ShapedWeights* result);
} // namespace onnx2trt