// Copyright (c) 2021 PaddlePaddle Authors. 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. #include #include "paddle/fluid/inference/api/paddle_inference_api.h" #include "paddle/fluid/inference/capi_exp/pd_utils.h" #include "paddle/fluid/inference/capi_exp/utils_internal.h" #include "paddle/fluid/platform/enforce.h" #define DESTROY_ONE_DIM_ARRAY(type) \ void PD_OneDimArray##type##Destroy(__pd_take PD_OneDimArray##type* array) { \ if (array != NULL) { \ delete[] array->data; \ delete array; \ } \ } #define CONVERT_VEC_TO_ONE_DIM_ARRAY(type, Type, vec_type) \ __pd_give PD_OneDimArray##Type* CvtVecToOneDimArray##Type( \ const std::vector& vec) { \ PD_OneDimArray##Type* array = new PD_OneDimArray##Type; \ array->size = vec.size(); \ array->data = vec.empty() ? NULL : new type[vec.size()]; \ for (size_t index = 0; index < vec.size(); ++index) { \ array->data[index] = vec[index]; \ } \ return array; \ } #define CONVERT_ONE_DIM_ARRAY_TO_VEC(type, Type, vec_type) \ std::vector CvtOneDimArrayToVec##Type( \ __pd_keep const PD_OneDimArray##Type* array) { \ std::vector vec; \ if (array != NULL) { \ vec.resize(array->size); \ for (size_t index = 0; index < array->size; ++index) { \ vec[index] = array->data[index]; \ } \ } \ return vec; \ } #define ONE_DIM_ARRAY_UTILS_FUNC_IMPL(type, Type, vec_type) \ extern "C" { \ DESTROY_ONE_DIM_ARRAY(Type); \ } \ namespace paddle_infer { \ CONVERT_VEC_TO_ONE_DIM_ARRAY(type, Type, vec_type) \ CONVERT_ONE_DIM_ARRAY_TO_VEC(type, Type, vec_type) \ } ONE_DIM_ARRAY_UTILS_FUNC_IMPL(int32_t, Int32, int) ONE_DIM_ARRAY_UTILS_FUNC_IMPL(size_t, Size, size_t) #undef ONE_DIM_ARRAY_UTILS_FUNC_IMPL #undef CONVERT_ONE_DIM_ARRAY_TO_VEC #undef CONVERT_VEC_TO_ONE_DIM_ARRAY #undef DESTROY_ONE_DIM_ARRAY void PD_OneDimArrayCstrDestroy(__pd_take PD_OneDimArrayCstr* array) { if (array != NULL) { if (array->size != 0) { for (size_t index = 0; index < array->size; ++index) { delete[] array->data[index]; } } delete[] array->data; delete array; } } void PD_CstrDestroy(__pd_take PD_Cstr* cstr) { if (cstr != NULL) { if (cstr->size != 0) { cstr->size = 0; delete[] cstr->data; cstr->data = NULL; } delete cstr; } } namespace paddle_infer { __pd_give PD_OneDimArrayCstr* CvtVecToOneDimArrayCstr( const std::vector& vec) { PD_OneDimArrayCstr* array = new PD_OneDimArrayCstr; array->size = vec.size(); array->data = vec.empty() ? NULL : new char*[vec.size()]; for (size_t index = 0u; index < vec.size(); ++index) { array->data[index] = new char[vec[index].size() + 1]; memcpy(array->data[index], vec[index].c_str(), vec[index].size() + 1); } return array; } std::vector CvtOneDimArrayToVecCstr( __pd_keep const PD_OneDimArrayCstr* array) { std::vector vec; for (size_t index = 0; index < array->size; ++index) { vec.emplace_back(array->data[index]); } return vec; } __pd_give PD_Cstr* CvtStrToCstr(const std::string& str) { PD_Cstr* cstr = new PD_Cstr; if (str.empty()) { cstr->size = 0; cstr->data = NULL; } else { cstr->size = str.length() + 1; cstr->data = new char[str.length() + 1]; memcpy(cstr->data, str.c_str(), str.length() + 1); } return cstr; } } // namespace paddle_infer #define DESTROY_TWO_DIM_ARRAY(type) \ void PD_TwoDimArray##type##Destroy(__pd_take PD_TwoDimArray##type* array) { \ if (array != NULL) { \ if (array->size != 0) { \ for (size_t index = 0; index < array->size; ++index) { \ PD_OneDimArray##type##Destroy(array->data[index]); \ } \ } \ delete[] array->data; \ delete array; \ } \ } #define CONVERT_VEC_TO_TWO_DIM_ARRAY(type, Type, vec_type) \ __pd_give PD_TwoDimArray##Type* CvtVecToTwoDimArray##Type( \ const std::vector>& vec) { \ PD_TwoDimArray##Type* array = new PD_TwoDimArray##Type; \ array->size = vec.size(); \ array->data = vec.empty() ? NULL : new PD_OneDimArray##Type*[vec.size()]; \ for (size_t index = 0; index < vec.size(); ++index) { \ array->data[index] = CvtVecToOneDimArray##Type(vec[index]); \ } \ return array; \ } #define CONVERT_TWO_DIM_ARRAY_TO_VEC(type, Type, vec_type) \ std::vector> CvtTwoDimArrayToVec##Type( \ __pd_keep const PD_TwoDimArray##Type* array) { \ std::vector> vec; \ if (array != NULL && array->size != 0) { \ vec.resize(array->size); \ for (size_t index = 0; index < array->size; ++index) { \ vec[index] = CvtOneDimArrayToVec##Type((array->data)[index]); \ } \ } \ return vec; \ } #define TWO_DIM_ARRAY_UTILS_FUNC_IMPL(type, Type, vec_type) \ extern "C" { \ DESTROY_TWO_DIM_ARRAY(Type); \ } \ namespace paddle_infer { \ CONVERT_VEC_TO_TWO_DIM_ARRAY(type, Type, vec_type) \ CONVERT_TWO_DIM_ARRAY_TO_VEC(type, Type, vec_type) \ } TWO_DIM_ARRAY_UTILS_FUNC_IMPL(size_t, Size, size_t) #undef TWO_DIM_ARRAY_UTILS_FUNC_IMPL #undef CONVERT_TWO_DIM_ARRAY_TO_VEC #undef CONVERT_VEC_TO_TWO_DIM_ARRAY #undef DESTROY_TWO_DIM_ARRAY namespace paddle_infer { PlaceType CvtToCxxPlaceType(PD_PlaceType place_type) { switch (place_type) { case PD_PLACE_UNK: return PlaceType::kUNK; case PD_PLACE_CPU: return PlaceType::kCPU; case PD_PLACE_GPU: return PlaceType::kGPU; case PD_PLACE_XPU: return PlaceType::kXPU; default: PADDLE_THROW(paddle::platform::errors::InvalidArgument( "Unsupport paddle place type %d.", place_type)); return PlaceType::kUNK; } } PD_PlaceType CvtFromCxxPlaceType(PlaceType place_type) { switch (place_type) { case PlaceType::kCPU: return PD_PLACE_CPU; case PlaceType::kGPU: return PD_PLACE_GPU; case PlaceType::kXPU: return PD_PLACE_XPU; default: return PD_PLACE_UNK; } } DataType CvtToCxxDatatype(PD_DataType data_type) { switch (data_type) { case PD_DATA_FLOAT32: return DataType::FLOAT32; case PD_DATA_INT64: return DataType::INT64; case PD_DATA_INT32: return DataType::INT32; case PD_DATA_UINT8: return DataType::UINT8; case PD_DATA_INT8: return DataType::INT8; default: PADDLE_THROW(paddle::platform::errors::InvalidArgument( "Unsupport paddle data type %d.", data_type)); return DataType::FLOAT32; } } PD_DataType CvtFromCxxDatatype(DataType data_type) { switch (data_type) { case DataType::FLOAT32: return PD_DATA_FLOAT32; case DataType::INT64: return PD_DATA_INT64; case DataType::INT32: return PD_DATA_INT32; case DataType::UINT8: return PD_DATA_UINT8; default: return PD_DATA_UNK; } } } // namespace paddle_infer