forked from huawei/mindspore2022
75 lines
2.3 KiB
C++
75 lines
2.3 KiB
C++
/**
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* Copyright 2020 Huawei Technologies Co., Ltd
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#ifndef MINDSPORE_LITE_SRC_PARAM_VALUE_LITE_H_
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#define MINDSPORE_LITE_SRC_PARAM_VALUE_LITE_H_
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#include <memory>
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#include <algorithm>
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#include <vector>
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#include <utility>
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#include "src/tensor.h"
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namespace mindspore {
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class ParamValueLite : public Value {
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public:
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ParamValueLite() : tensor_addr_(nullptr), tensor_size_(0) {}
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virtual ~ParamValueLite() {
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if (tensor_addr_ != nullptr) {
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auto tensor_mem = reinterpret_cast<char *>(tensor_addr_);
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delete[](tensor_mem);
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tensor_addr_ = nullptr;
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tensor_size_ = 0;
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}
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}
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size_t tensor_size() const { return tensor_size_; }
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void set_tensor_size(size_t size) { tensor_size_ = size; }
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void *tensor_addr() const { return tensor_addr_; }
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void set_tensor_addr(void *addr) { tensor_addr_ = addr; }
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std::vector<int> tensor_shape() const { return tensor_shape_; }
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void set_tensor_shape(std::vector<int> tensor_shape) { tensor_shape_ = std::move(tensor_shape); }
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TypeId tensor_type() const { return type_id_; }
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void set_tensor_type(TypeId type_id) { type_id_ = type_id; }
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int tensor_shape_size() const {
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int size = 1;
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for (auto val : tensor_shape_) {
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size *= val;
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}
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return size;
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}
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bool operator==(const Value &other) const override { return this == &other; }
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int format() const { return this->format_; }
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void set_format(int format) { this->format_ = format; }
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private:
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void *tensor_addr_ = nullptr;
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size_t tensor_size_ = 0;
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int format_ = schema::Format::Format_KCHW;
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std::vector<int> tensor_shape_{};
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TypeId type_id_ = TypeId::kNumberTypeFloat32;
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};
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using ParamValueLitePtr = std::shared_ptr<ParamValueLite>;
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} // namespace mindspore
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#endif // MINDSPORE_LITE_SRC_PARAM_VALUE_LITE_H_
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