2 * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
4 * Licensed under the Apache License, Version 2.0 (the "License");
5 * you may not use this file except in compliance with the License.
6 * You may obtain a copy of the License at
8 * http://www.apache.org/licenses/LICENSE-2.0
10 * Unless required by applicable law or agreed to in writing, software
11 * distributed under the License is distributed on an "AS IS" BASIS,
12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 * See the License for the specific language governing permissions and
14 * limitations under the License.
17 #ifndef __ONERT_BACKEND_CPU_TENSOR_H__
18 #define __ONERT_BACKEND_CPU_TENSOR_H__
20 #include <backend/cpu_common/Tensor.h>
30 using Tensor = cpu_common::Tensor;
33 * @brief Class that uses data from external memory that is not managed by a backend
34 * instead of allocating and copying the data. ExternalTensor's data pointer points to
35 * an address of memory such as where memory is already allocated, or mmapped area.
36 * This is meaning that ExternalTensor can take all of types' ir::Data.
37 * To support this, assume below things no padding, always NHWC layout,
38 * constant tensor and not dynamic.
40 class ExternalTensor : public Tensor
43 ExternalTensor() = delete;
46 ExternalTensor(const ir::OperandInfo &info, const ir::Layout layout)
47 : Tensor(info, layout, nullptr)
49 assert(_layout == ir::Layout::NHWC);
50 assert(_info.isConstant());
51 assert(_info.isDynamic() == false);
56 * @brief set Data to be shared from external so that this ExternalTensor will not be
57 * allocated on CPU backend
58 * @param[in] data data of Operand to be set
60 void setData(const std::shared_ptr<ir::Data> data)
62 assert(data != nullptr);
64 // Note. Some op such as cker::Conv could take buffer as nullptr.
65 // That's why _buffer also would be used
66 _buffer = const_cast<uint8_t *>(_data->base());
70 uint8_t *buffer() const override { return _buffer; }
72 bool is_constant() const override { return true; }
73 bool is_dynamic() const override { return false; }
74 void set_dynamic() override
76 throw std::runtime_error("This tensor does not support changing dynamic");
79 void setShape(const ir::Shape &) override
81 throw std::runtime_error("This tensor does not support changing shape");
84 void increase_ref() override { ++_num_references; }
86 void decrease_ref() override
88 assert(_data != nullptr);
89 assert(_num_references > 0);
91 if (_num_references == 0)
99 std::shared_ptr<const ir::Data> _data;
103 } // namespace backend
106 #endif // __ONERT_BACKEND_CPU_TENSOR_H__