{
};
-int ANeuralNetworksEvent_wait(ANeuralNetworksEvent *event)
-{
- return ANEURALNETWORKS_NO_ERROR;
-}
+int ANeuralNetworksEvent_wait(ANeuralNetworksEvent *event) { return ANEURALNETWORKS_NO_ERROR; }
-void ANeuralNetworksEvent_free(ANeuralNetworksEvent *event)
-{
- delete event;
-}
+void ANeuralNetworksEvent_free(ANeuralNetworksEvent *event) { delete event; }
//
// Memory
return ANEURALNETWORKS_NO_ERROR;
}
-int ANeuralNetworksModel_setOperandValueFromMemory(ANeuralNetworksModel *model,
- int32_t index,
+int ANeuralNetworksModel_setOperandValueFromMemory(ANeuralNetworksModel *model, int32_t index,
const ANeuralNetworksMemory *memory,
size_t offset, size_t length)
{
const uint32_t *inputs, uint32_t outputCount,
const uint32_t *outputs)
{
- std::cout << __FUNCTION__ << "(model: " << model
- << ", type: " << type
+ std::cout << __FUNCTION__ << "(model: " << model << ", type: " << type
<< ", inputCount: " << inputCount << ", outputCount: " << outputCount << ")"
<< std::endl;
return ANEURALNETWORKS_NO_ERROR;
}
-
-int ANeuralNetworksModel_identifyInputsAndOutputs(ANeuralNetworksModel *model,
- uint32_t inputCount,
- const uint32_t *inputs,
- uint32_t outputCount,
+int ANeuralNetworksModel_identifyInputsAndOutputs(ANeuralNetworksModel *model, uint32_t inputCount,
+ const uint32_t *inputs, uint32_t outputCount,
const uint32_t *outputs)
{
std::cout << __FUNCTION__ << "(model: " << model << ")" << std::endl;
// ANeuralNetworksExecution_setInput and ANeuralNetworksExecution_setOutput specify HOST buffer for
// input/output
int ANeuralNetworksExecution_setInput(ANeuralNetworksExecution *execution, int32_t index,
- const ANeuralNetworksOperandType *type,
- const void *buffer, size_t length)
+ const ANeuralNetworksOperandType *type, const void *buffer,
+ size_t length)
{
std::cout << __FUNCTION__ << "(execution: " << execution << ", type: ";