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/*
* Copyright (C) 2021 MediaTek Inc., this file is modified on 02/26/2021
* by MediaTek Inc. based on MIT License .
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the ""Software""), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED ""AS IS"", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifndef DELEGATE_MTK_NEURON_NEURON_DELEGATE_UTILS_H_
#define DELEGATE_MTK_NEURON_NEURON_DELEGATE_UTILS_H_
#include <dlfcn.h>
#include <fcntl.h>
#include <string>
#include "delegate/mtk_neuron/neuron_types.h"
#include "tensorflow/lite/c/c_api_opaque.h"
#include "tensorflow/lite/c/common.h"
#include "tensorflow/lite/context_util.h"
#ifdef __ANDROID__
#include <sys/system_properties.h>
#endif
namespace tflite {
namespace neuron {
#define RETURN_TFLITE_ERROR_IF_NEURON_ERROR(context, code, call_desc) \
do { \
const auto _code = (code); \
const auto _call_desc = (call_desc); \
if (_code != NEURON_NO_ERROR) { \
const auto error_desc = NeuronErrorDescription(_code); \
TfLiteOpaqueContextReportError( \
context, "Neuron returned error %s at line %d while %s.\n", \
error_desc.c_str(), __LINE__, _call_desc); \
return kTfLiteError; \
} \
} while (0)
#define RETURN_TFLITE_ERROR_IF_ION_ERROR(code) \
do { \
const auto _code = (code); \
if (_code != 0) { \
return kTfLiteError; \
} \
} while (0)
#define TF_LITE_OPAQUE_ENSURE_STATUS(a) \
do { \
const TfLiteStatus s = (a); \
if (s != kTfLiteOk) { \
return s; \
} \
} while (0)
inline std::string GetPropertyValue(const std::string& property) {
#ifdef __ANDROID__
char value[PROP_VALUE_MAX];
if (0 == __system_property_get(property.c_str(), value)) {
return std::string();
}
return std::string(value);
#else // !__ANDROID__
return std::string();
#endif // __ANDROID__
}
inline std::string NeuronErrorDescription(int error_code) {
switch (error_code) {
case NEURON_NO_ERROR:
return "NEURON_NO_ERROR";
case NEURON_OUT_OF_MEMORY:
return "NEURON_OUT_OF_MEMORY";
case NEURON_INCOMPLETE:
return "NEURON_INCOMPLETE";
case NEURON_UNEXPECTED_NULL:
return "NEURON_UNEXPECTED_NULL";
case NEURON_BAD_DATA:
return "NEURON_BAD_DATA";
case NEURON_OP_FAILED:
return "NEURON_OP_FAILED";
case NEURON_BAD_STATE:
return "NEURON_BAD_STATE";
case NEURON_UNMAPPABLE:
return "NEURON_UNMAPPABLE";
case NEURON_OUTPUT_INSUFFICIENT_SIZE:
return "NEURON_OUTPUT_INSUFFICIENT_SIZE";
case NEURON_UNAVAILABLE_DEVICE:
return "NEURON_UNAVAILABLE_DEVICE";
default:
return "Unknown Neuron error code: " + std::to_string(error_code);
}
}
inline bool HasZeroes(TfLiteIntArrayView array) {
for (auto value : array) {
if (value == 0) {
return true;
}
}
return false;
}
inline bool IsFloat(TfLiteType type) {
switch (type) {
case kTfLiteFloat32:
return true;
default:
return false;
}
}
inline bool IsFloatOrUInt8(TfLiteType type) {
switch (type) {
case kTfLiteFloat32:
case kTfLiteUInt8:
return true;
default:
return false;
}
}
inline bool IsQuantized(TfLiteType type) {
switch (type) {
case kTfLiteUInt8:
case kTfLiteInt8:
return true;
default:
// kTfLiteInt16 isn't supported as quantized type yet.
return false;
}
}
inline bool IsInt64(TfLiteType type) { return type == kTfLiteInt64; }
inline bool IsConstantTensor(const TfLiteOpaqueTensor* tensor) {
return TfLiteOpaqueTensorGetAllocationType(tensor) == kTfLiteMmapRo;
}
inline int64_t NumElements(const TfLiteOpaqueTensor* tensor) {
int64_t count = 1;
for (int i = 0; i < TfLiteOpaqueTensorNumDims(tensor); ++i) {
count *= TfLiteOpaqueTensorDim(tensor, i);
}
return count;
}
} // namespace neuron
} // namespace tflite
#endif // DELEGATE_MTK_NEURON_NEURON_DELEGATE_UTILS_H_