1 /** 2 * Copyright 2022 Huawei Technologies Co., Ltd 3 * 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 7 * 8 * http://www.apache.org/licenses/LICENSE-2.0 9 * 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. 15 */ 16 #ifndef MINDSPORE_LITE_SRC_LITERT_DELEGATE_NNAPI_OP_RESIZE_NNAPI_H_ 17 #define MINDSPORE_LITE_SRC_LITERT_DELEGATE_NNAPI_OP_RESIZE_NNAPI_H_ 18 19 #include <string> 20 #include <vector> 21 #include "src/litert/delegate/nnapi/op/nnapi_op.h" 22 23 namespace mindspore { 24 namespace lite { 25 union NewHWSize { 26 int ix_ = 0; 27 float fx_; 28 }; 29 class NNAPIResize : public NNAPIOp { 30 public: NNAPIResize(const std::string & name,const schema::Primitive * primitive,const std::vector<mindspore::MSTensor> & in_tensors,const std::vector<mindspore::MSTensor> & out_tensors,schema::QuantType quant_type)31 NNAPIResize(const std::string &name, const schema::Primitive *primitive, 32 const std::vector<mindspore::MSTensor> &in_tensors, const std::vector<mindspore::MSTensor> &out_tensors, 33 schema::QuantType quant_type) 34 : NNAPIOp(name, primitive, in_tensors, out_tensors, quant_type) {} 35 ~NNAPIResize()36 ~NNAPIResize() override {} 37 38 bool IsSupport() override; 39 int InitParams() override; 40 int AddOpToNNAPIModel(ANeuralNetworksModel *nnapi_model, std::vector<mindspore::MSTensor> *all_tensors) override; 41 42 private: 43 int method_; 44 int data_type_ = static_cast<int>(DataType::kNumberTypeInt32); 45 NewHWSize height_; 46 NewHWSize width_; 47 }; 48 } // namespace lite 49 } // namespace mindspore 50 #endif // MINDSPORE_LITE_SRC_LITERT_DELEGATE_NNAPI_OP_RESIZE_NNAPI_H_ 51