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-rw-r--r--runtime/neurun/frontend/nnapi/wrapper/NNAPIConvert.cc100
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diff --git a/runtime/neurun/frontend/nnapi/wrapper/NNAPIConvert.cc b/runtime/neurun/frontend/nnapi/wrapper/NNAPIConvert.cc
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--- a/runtime/neurun/frontend/nnapi/wrapper/NNAPIConvert.cc
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@@ -1,100 +0,0 @@
-/*
- * Copyright (c) 2019 Samsung Electronics Co., Ltd. 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 "NNAPIConvert.h"
-
-#include <numeric>
-
-using namespace neurun::ir;
-
-DataType NNAPIConvert::getDataType(OperandCode type)
-{
- switch (type)
- {
- case ANEURALNETWORKS_FLOAT32:
- case ANEURALNETWORKS_TENSOR_FLOAT32:
- return DataType::FLOAT32;
- case ANEURALNETWORKS_INT32:
- case ANEURALNETWORKS_TENSOR_INT32:
- return DataType::INT32;
- case ANEURALNETWORKS_UINT32:
- return DataType::UINT32;
- case ANEURALNETWORKS_TENSOR_QUANT8_ASYMM:
- return DataType::QUANT8_ASYMM;
- case ANEURALNETWORKS_TENSOR_QUANT8_SYMM:
- return DataType::QUANT8_SYMM;
- case ANEURALNETWORKS_BOOL:
- case ANEURALNETWORKS_TENSOR_BOOL8:
- return DataType::BOOL8;
- default:
- throw std::runtime_error("Unsupported type");
- }
-}
-
-TypeInfo NNAPIConvert::getTypeInfo(const ANeuralNetworksOperandType *type)
-{
- return TypeInfo(getDataType((OperandCode)(type->type)), type->scale, type->zeroPoint);
-}
-
-Shape NNAPIConvert::getShape(const ANeuralNetworksOperandType *type)
-{
- Shape shape(type->dimensionCount);
-
- for (uint32_t axis = 0; axis < type->dimensionCount; ++axis)
- {
- shape.dim(axis) = type->dimensions[axis];
- }
-
- return shape;
-}
-
-size_t NNAPIConvert::calculateSizeFromType(const ANeuralNetworksOperandType *type)
-{
- auto shape = getShape(type);
- auto data_type = getDataType((OperandCode)(type->type));
-
- return shape.num_elements() * sizeOfDataType(data_type);
-}
-
-Activation NNAPIConvert::getFusedActivation(FuseCode act)
-{
- switch (act)
- {
- case ANEURALNETWORKS_FUSED_NONE:
- return Activation::NONE;
- case ANEURALNETWORKS_FUSED_RELU:
- return Activation::RELU;
- case ANEURALNETWORKS_FUSED_RELU1:
- return Activation::RELU1;
- case ANEURALNETWORKS_FUSED_RELU6:
- return Activation::RELU6;
- default:
- throw std::runtime_error("Unsupported activation type");
- }
-}
-
-PaddingType NNAPIConvert::getPaddingType(PaddingCode type)
-{
- switch (type)
- {
- case ANEURALNETWORKS_PADDING_SAME:
- return PaddingType::SAME;
- case ANEURALNETWORKS_PADDING_VALID:
- return PaddingType::VALID;
- default:
- throw std::runtime_error("Unsupported type");
- }
-}