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/*
* Copyright (C) 2019 The Android Open Source Project
*
* 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 "1.3/Utils.h"
#include <iostream>
#include <numeric>
#include "android-base/logging.h"
#include "android/hardware/neuralnetworks/1.3/types.h"
namespace android::hardware::neuralnetworks {
uint32_t sizeOfData(V1_3::OperandType type) {
switch (type) {
case V1_3::OperandType::FLOAT32:
case V1_3::OperandType::INT32:
case V1_3::OperandType::UINT32:
case V1_3::OperandType::TENSOR_FLOAT32:
case V1_3::OperandType::TENSOR_INT32:
return 4;
case V1_3::OperandType::TENSOR_QUANT16_SYMM:
case V1_3::OperandType::TENSOR_FLOAT16:
case V1_3::OperandType::FLOAT16:
case V1_3::OperandType::TENSOR_QUANT16_ASYMM:
return 2;
case V1_3::OperandType::TENSOR_QUANT8_ASYMM:
case V1_3::OperandType::BOOL:
case V1_3::OperandType::TENSOR_BOOL8:
case V1_3::OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL:
case V1_3::OperandType::TENSOR_QUANT8_SYMM:
case V1_3::OperandType::TENSOR_QUANT8_ASYMM_SIGNED:
return 1;
case V1_3::OperandType::SUBGRAPH:
return 0;
default:
CHECK(false) << "Invalid OperandType " << static_cast<uint32_t>(type);
return 0;
}
}
static bool isTensor(V1_3::OperandType type) {
switch (type) {
case V1_3::OperandType::FLOAT32:
case V1_3::OperandType::INT32:
case V1_3::OperandType::UINT32:
case V1_3::OperandType::FLOAT16:
case V1_3::OperandType::BOOL:
case V1_3::OperandType::SUBGRAPH:
return false;
case V1_3::OperandType::TENSOR_FLOAT32:
case V1_3::OperandType::TENSOR_INT32:
case V1_3::OperandType::TENSOR_QUANT16_SYMM:
case V1_3::OperandType::TENSOR_FLOAT16:
case V1_3::OperandType::TENSOR_QUANT16_ASYMM:
case V1_3::OperandType::TENSOR_QUANT8_ASYMM:
case V1_3::OperandType::TENSOR_BOOL8:
case V1_3::OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL:
case V1_3::OperandType::TENSOR_QUANT8_SYMM:
case V1_3::OperandType::TENSOR_QUANT8_ASYMM_SIGNED:
return true;
default:
CHECK(false) << "Invalid OperandType " << static_cast<uint32_t>(type);
return false;
}
}
uint32_t sizeOfData(const V1_3::Operand& operand) {
const uint32_t dataSize = sizeOfData(operand.type);
if (isTensor(operand.type) && operand.dimensions.size() == 0) return 0;
return std::accumulate(operand.dimensions.begin(), operand.dimensions.end(), dataSize,
std::multiplies<>{});
}
namespace V1_3 {
::std::ostream& operator<<(::std::ostream& os, ErrorStatus errorStatus) {
return os << toString(errorStatus);
}
} // namespace V1_3
} // namespace android::hardware::neuralnetworks
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