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/*
* Copyright (c) 2018 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 <NeuralNetworks.h>
#include <new>
#include "wrapper/ANeuralNetworksCompilation.h"
#include "wrapper/ANeuralNetworksExecution.h"
#include "wrapper/ANeuralNetworksMemory.h"
#include "wrapper/ANeuralNetworksEvent.h"
#include "wrapper/NNAPIConvert.h"
#include "util/logging.h"
//
// NNAPI Implementation
//
int ANeuralNetworksExecution_create(ANeuralNetworksCompilation *compilation,
ANeuralNetworksExecution **execution)
{
if ((compilation == nullptr) || (execution == nullptr))
{
VERBOSE(NNAPI::Execution) << "create: Incorrect null pointer parameter(s)" << std::endl;
return ANEURALNETWORKS_UNEXPECTED_NULL;
}
std::shared_ptr<neurun::exec::IExecutor> executor;
compilation->publish(executor);
if (executor == nullptr)
{
VERBOSE(NNAPI::Execution) << "create: Never compiled yet" << std::endl;
return ANEURALNETWORKS_BAD_STATE;
}
*execution = new (std::nothrow) ANeuralNetworksExecution{executor};
if (*execution == nullptr)
{
VERBOSE(NNAPI::Execution) << "create: Fail to create execution object" << std::endl;
return ANEURALNETWORKS_OUT_OF_MEMORY;
}
return ANEURALNETWORKS_NO_ERROR;
}
// NOTE Handle optional input
// Unspecified shape on model build
// Optional and omitted input on execution: skip input setting (workaround for LSTM)
// Optional but not omitted input on execution: cannot handle
// Normal input on execution: cannot handle
// Fully specified shape on model build
// Optional input on execution: cannot handle
// Normal input: handle normally
int ANeuralNetworksExecution_setInput(ANeuralNetworksExecution *execution, int32_t index,
const ANeuralNetworksOperandType *type, const void *buffer,
size_t length)
{
// Don't check type
// Comment about ANeuralNetworksOperandType in NeuralNetworks.h:
// If the input or output is optional and omitted then it need not have a fully specified tensor
// operand type
if ((execution == nullptr) || ((buffer == nullptr) && (length != 0)))
{
VERBOSE(NNAPI::Execution) << "setInput: Incorrect null pointer parameter(s)" << std::endl;
return ANEURALNETWORKS_UNEXPECTED_NULL;
}
if ((buffer != nullptr) && (length == 0))
{
VERBOSE(NNAPI::Execution) << "setInput: Zero length input" << std::endl;
return ANEURALNETWORKS_BAD_DATA;
}
const auto operand_index = execution->getInputOperandIndex(index);
if (!operand_index.valid())
{
VERBOSE(NNAPI::Execution) << "setInput: Invalid input index" << std::endl;
return ANEURALNETWORKS_BAD_DATA;
}
// Omitted optional input
// LSTM operation's some inputs can be optional input
if ((buffer == nullptr) && (length == 0))
{
if (execution->haveUnspecifiedDims(operand_index))
{
return ANEURALNETWORKS_NO_ERROR;
}
else
{
VERBOSE(NNAPI::Execution) << "setInput: Cannot handle fully-specified shape on model build "
"but omitted input on execution"
<< std::endl;
return ANEURALNETWORKS_BAD_DATA;
}
}
if (type != nullptr)
{
if (!execution->compareDataType(type, operand_index))
{
VERBOSE(NNAPI::Execution) << "setInput: Data type mismatch" << std::endl;
return ANEURALNETWORKS_BAD_DATA;
}
if (!execution->compareShape(type, operand_index))
{
VERBOSE(NNAPI::Execution) << "setInput: Shape mismatch" << std::endl;
return ANEURALNETWORKS_BAD_DATA;
}
if (NNAPIConvert::calculateSizeFromType(type) != length)
{
VERBOSE(NNAPI::Execution) << "setInput: Invalid length" << std::endl;
return ANEURALNETWORKS_BAD_DATA;
}
}
else
{
if (execution->haveUnspecifiedDims(operand_index))
{
VERBOSE(NNAPI::Execution) << "setInput: Unspecified dimension value" << std::endl;
return ANEURALNETWORKS_BAD_DATA;
}
if (execution->getOperandSize(operand_index) != length)
{
VERBOSE(NNAPI::Execution) << "setInput: Invalid length" << std::endl;
return ANEURALNETWORKS_BAD_DATA;
}
}
if (!execution->setInput(index, type, buffer, length))
{
VERBOSE(NNAPI::Execution) << "setInput: Fail to set input" << std::endl;
return ANEURALNETWORKS_BAD_DATA;
}
return ANEURALNETWORKS_NO_ERROR;
}
int ANeuralNetworksExecution_setOutput(ANeuralNetworksExecution *execution, int32_t index,
const ANeuralNetworksOperandType *type, void *buffer,
size_t length)
{
// Don't check type
// Comment about ANeuralNetworksOperandType in NeuralNetworks.h:
// If the input or output is optional and omitted then it need not have a fully specified tensor
// operand type
if ((execution == nullptr) || ((buffer == nullptr) && (length != 0)))
{
VERBOSE(NNAPI::Execution) << "setOutput: Incorrect null pointer parameter(s)" << std::endl;
return ANEURALNETWORKS_UNEXPECTED_NULL;
}
if ((buffer != nullptr) && (length == 0))
{
VERBOSE(NNAPI::Execution) << "setOutput: Zero length output" << std::endl;
return ANEURALNETWORKS_BAD_DATA;
}
// Handle optional output
if (buffer == nullptr)
{
return ANEURALNETWORKS_NO_ERROR;
}
const auto operand_index = execution->getOutputOperandIndex(index);
if (!operand_index.valid())
{
VERBOSE(NNAPI::Execution) << "setOutput: Invalid output index" << std::endl;
return ANEURALNETWORKS_BAD_DATA;
}
if (type != nullptr)
{
if (!execution->compareDataType(type, operand_index))
{
VERBOSE(NNAPI::Execution) << "setOutput: Data type mismatch" << std::endl;
return ANEURALNETWORKS_BAD_DATA;
}
if (!execution->compareShape(type, operand_index))
{
VERBOSE(NNAPI::Execution) << "setOutput: Shape mismatch" << std::endl;
return ANEURALNETWORKS_BAD_DATA;
}
if (NNAPIConvert::calculateSizeFromType(type) != length)
{
VERBOSE(NNAPI::Execution) << "setOutput: Invalid length" << std::endl;
return ANEURALNETWORKS_BAD_DATA;
}
}
else
{
if (execution->haveUnspecifiedDims(operand_index))
{
VERBOSE(NNAPI::Execution) << "setOutput: Unspecified dimension value" << std::endl;
return ANEURALNETWORKS_BAD_DATA;
}
if (execution->getOperandSize(operand_index) != length)
{
VERBOSE(NNAPI::Execution) << "setInput: Invalid length" << std::endl;
return ANEURALNETWORKS_BAD_DATA;
}
}
if (!execution->setOutput(index, type, buffer, length))
{
VERBOSE(NNAPI::Execution) << "setOutput: Fail to set output" << std::endl;
return ANEURALNETWORKS_BAD_DATA;
}
return ANEURALNETWORKS_NO_ERROR;
}
int ANeuralNetworksExecution_startCompute(ANeuralNetworksExecution *execution,
ANeuralNetworksEvent **event)
{
if ((execution == nullptr) || (event == nullptr))
{
VERBOSE(NNAPI::Execution) << "startCompute: Incorrect null pointer parameter(s)" << std::endl;
return ANEURALNETWORKS_UNEXPECTED_NULL;
}
// TODO: Handle event
auto instance = execution->instance();
*event = new (std::nothrow) ANeuralNetworksEvent{instance};
if (*event == nullptr)
{
VERBOSE(NNAPI::Execution) << "startCompute: Fail to create event" << std::endl;
return ANEURALNETWORKS_OUT_OF_MEMORY;
}
if (!execution->startExecute())
{
VERBOSE(NNAPI::Execution) << "startCompute: Fail to start execution" << std::endl;
return ANEURALNETWORKS_BAD_STATE;
}
return ANEURALNETWORKS_NO_ERROR;
}
void ANeuralNetworksExecution_free(ANeuralNetworksExecution *execution) { delete execution; }
int ANeuralNetworksExecution_setInputFromMemory(ANeuralNetworksExecution *execution, int32_t index,
const ANeuralNetworksOperandType *type,
const ANeuralNetworksMemory *memory, size_t offset,
size_t length)
{
if ((execution == nullptr) || (memory == nullptr))
{
VERBOSE(NNAPI::Execution) << "setInputFromMemory: Incorrect null pointer parameter(s)"
<< std::endl;
return ANEURALNETWORKS_UNEXPECTED_NULL;
}
if (length == 0)
{
VERBOSE(NNAPI::Execution) << "setInputFromMemory: Zero length input" << std::endl;
return ANEURALNETWORKS_BAD_DATA;
}
const auto operand_index = execution->getInputOperandIndex(index);
if (!operand_index.valid())
{
VERBOSE(NNAPI::Execution) << "setInputFromMemory: Invalid input index" << std::endl;
return ANEURALNETWORKS_BAD_DATA;
}
if (type != nullptr)
{
if (!execution->compareDataType(type, operand_index))
{
VERBOSE(NNAPI::Execution) << "setInputFromMemory: Data type mismatch" << std::endl;
return ANEURALNETWORKS_BAD_DATA;
}
if (!execution->compareShape(type, operand_index))
{
VERBOSE(NNAPI::Execution) << "setInputFromMemory: Shape mismatch" << std::endl;
return ANEURALNETWORKS_BAD_DATA;
}
if (NNAPIConvert::calculateSizeFromType(type) != length)
{
VERBOSE(NNAPI::Execution) << "setInputFromMemory: Invalid length" << std::endl;
return ANEURALNETWORKS_BAD_DATA;
}
}
else
{
if (execution->haveUnspecifiedDims(operand_index))
{
VERBOSE(NNAPI::Execution) << "setInputFromMemory: Unspecified dimension value" << std::endl;
return ANEURALNETWORKS_BAD_DATA;
}
if (execution->getOperandSize(operand_index) != length)
{
VERBOSE(NNAPI::Execution) << "setInputFromMemory: Invalid length" << std::endl;
return ANEURALNETWORKS_BAD_DATA;
}
}
if (!memory->vaildAccess(offset, length))
{
VERBOSE(NNAPI::Execution) << "setInputFromMemory: Invalid memory access" << std::endl;
return ANEURALNETWORKS_BAD_DATA;
}
if (!execution->setInput(index, type, reinterpret_cast<const void *>(memory->base() + offset),
length))
{
VERBOSE(NNAPI::Execution) << "setInputFromMemory: Fail to set input" << std::endl;
return ANEURALNETWORKS_BAD_DATA;
}
return ANEURALNETWORKS_NO_ERROR;
}
int ANeuralNetworksExecution_setOutputFromMemory(ANeuralNetworksExecution *execution, int32_t index,
const ANeuralNetworksOperandType *type,
const ANeuralNetworksMemory *memory, size_t offset,
size_t length)
{
if ((execution == nullptr) || (memory == nullptr))
{
VERBOSE(NNAPI::Execution) << "setOutputFromMemory: Incorrect null pointer parameter(s)"
<< std::endl;
return ANEURALNETWORKS_UNEXPECTED_NULL;
}
if (length == 0)
{
VERBOSE(NNAPI::Execution) << "setOutputFromMemory: Zero length input" << std::endl;
return ANEURALNETWORKS_BAD_DATA;
}
const auto operand_index = execution->getOutputOperandIndex(index);
if (!operand_index.valid())
{
VERBOSE(NNAPI::Execution) << "setOutputFromMemory: Invalid output index" << std::endl;
return ANEURALNETWORKS_BAD_DATA;
}
if (type != nullptr)
{
if (!execution->compareDataType(type, operand_index))
{
VERBOSE(NNAPI::Execution) << "setOutputFromMemory: Data type mismatch" << std::endl;
return ANEURALNETWORKS_BAD_DATA;
}
if (!execution->compareShape(type, operand_index))
{
VERBOSE(NNAPI::Execution) << "setOutputFromMemory: Shape mismatch" << std::endl;
return ANEURALNETWORKS_BAD_DATA;
}
if (NNAPIConvert::calculateSizeFromType(type) != length)
{
VERBOSE(NNAPI::Execution) << "setOutputFromMemory: Invalid length" << std::endl;
return ANEURALNETWORKS_BAD_DATA;
}
}
else
{
if (execution->haveUnspecifiedDims(operand_index))
{
VERBOSE(NNAPI::Execution) << "setOutputFromMemory: Unspecified dimension value" << std::endl;
return ANEURALNETWORKS_BAD_DATA;
}
if (execution->getOperandSize(operand_index) != length)
{
VERBOSE(NNAPI::Execution) << "setOutputFromMemory: Invalid length" << std::endl;
return ANEURALNETWORKS_BAD_DATA;
}
}
if (!memory->vaildAccess(offset, length))
{
VERBOSE(NNAPI::Execution) << "setOutputFromMemory: Invalid memory access" << std::endl;
return ANEURALNETWORKS_BAD_DATA;
}
if (!execution->setOutput(index, type, reinterpret_cast<void *>(memory->base() + offset), length))
{
VERBOSE(NNAPI::Execution) << "setOutputFromMemory: Fail to set input" << std::endl;
return ANEURALNETWORKS_BAD_DATA;
}
return ANEURALNETWORKS_NO_ERROR;
}
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