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/*
* Copyright 2019 Xilinx Inc.
*
* 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 <string>
#include <vector>
#include <cstdint>
namespace vitis {
namespace ai {
class Tensor {
public:
enum class DataType {
INT8,
UINT8,
INT16,
UINT16,
INT32,
UINT32,
INT64,
UINT64,
FLOAT,
DOUBLE,
UNKNOWN
};
public:
Tensor(const std::string& name, const std::vector<std::int32_t>& dims,
DataType data_type);
Tensor() = delete;
public:
const std::string& get_name() const;
const std::int32_t get_dim_num() const;
const std::int32_t get_element_num() const;
const std::int32_t get_dim_size(std::int32_t idx) const;
const std::vector<std::int32_t>& get_dims() const;
const DataType get_data_type() const;
std::string to_string() const;
private:
const std::string name_;
const std::vector<std::int32_t> dims_;
const DataType data_type_;
};
std::size_t size_of(Tensor::DataType data_type);
} // namespace ai
} // namespace vitis
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