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/*
* Copyright (c) 2020 Samsung Electronics Co., Ltd. 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.
*/
#ifndef __TFINFO_V2_TENSORSIGNATURE_H__
#define __TFINFO_V2_TENSORSIGNATURE_H__
#include <map>
#include <vector>
#include <memory>
#include <string>
#include <stdexcept>
namespace tfinfo
{
inline namespace v2
{
/**
* @brief Supported Data Types
*/
enum class DataType
{
UNKNOWN,
FLOAT32, // IEEE 32-bit floating point
/* To be added */
};
/**
* @brief Class to represent axis and size of dims.
* User should enter axis and size of dim(s) when input tensor(s) contain(s) unknown dim(s).
* Such axis and size of dim(s) will be stored in ShapeHint.
*/
class ShapeHint
{
using AxisHint = uint32_t;
using SizeHint = uint64_t;
public:
ShapeHint() = default;
void add(AxisHint axis, SizeHint size)
{
if (_dims.find(axis) != _dims.end())
throw std::runtime_error("dim value already exists");
_dims[axis] = size;
}
std::map<AxisHint, SizeHint>::const_iterator cbegin() const { return _dims.cbegin(); }
std::map<AxisHint, SizeHint>::const_iterator cend() const { return _dims.cend(); }
bool empty() { return _dims.size() == 0; }
size_t size() { return _dims.size(); }
private:
std::map<AxisHint, SizeHint> _dims;
};
using TensorName = std::string;
/**
* @brief Class to store input and output tensor information
*/
class TensorSignature final
{
public:
enum class Kind
{
Input,
Output
};
TensorSignature(const Kind kind, const std::string &name) : _kind(kind), _tensor_name()
{
// tensor name can be a form of "placeholder:0" or "placeholder".
// If tensor index is omitted, ":0" is appended
auto pos = name.find(":");
if (pos == std::string::npos)
_tensor_name.assign(name + ":0");
else
_tensor_name.assign(name);
}
TensorSignature(const Kind kind, const std::string &name, const ShapeHint &shape_hint)
: TensorSignature(kind, name)
{
_shape_hint = shape_hint;
}
public:
Kind kind() const { return _kind; }
const TensorName &name() { return _tensor_name; }
ShapeHint &shapeHint() { return _shape_hint; }
private:
Kind _kind;
std::string _tensor_name;
ShapeHint _shape_hint;
};
using TensorSignatures = std::vector<std::unique_ptr<TensorSignature>>;
} // namespace v2
} // namespace tfinfo
#endif // __TFINFO_V2_TENSORSIGNATURE_H__
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