vendor/rockchip/hardware/interfaces/neuralnetworks/1.0/IRKNeuralnetworks.hal

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package rockchip.hardware.neuralnetworks@1.0;
import ILoadModelCallback;
import IGetResultCallback;
interface IRKNeuralnetworks {
@entry
@exit
@callflow(next={"*"})
rknnInit(RKNNModel model, uint32_t size, uint32_t flag) generates (ErrorStatus status, RKNNContext context);
@callflow(next={"*"})
rknnDestroy(RKNNContext context) generates (ErrorStatus status);
@callflow(next={"*"})
rknnQuery(RKNNContext context, RKNNQueryCmd cmd, memory info, uint32_t size) generates (ErrorStatus status);
@callflow(next={"*"})
rknnInputsSet(RKNNContext context, Request request) generates (ErrorStatus status);
@callflow(next={"*"})
rknnRun(RKNNContext context, RKNNRunExtend extend) generates (ErrorStatus status);
@callflow(next={"*"})
rknnOutputsGet(RKNNContext context, Response response, RKNNOutputExtend extend) generates (ErrorStatus status);
@callflow(next={"*"})
rknnOutputsRelease(RKNNContext context, Response response) generates (ErrorStatus status);
@callflow(next={"*"})
rknnDestroyMemory(RKNNContext context, RKNNTensorMemory mem) generates (ErrorStatus status);
@callflow(next={"*"})
rknnSetIOMem(RKNNContext context, RKNNTensorMemory mem, RKNNTensorAttr attr) generates (ErrorStatus status);
@callflow(next={"*"})
rknnCreateMem(RKNNContext context, uint32_t size) generates (ErrorStatus status, RKNNTensorMemory mem);
@callflow(next={"*"})
rknnSetCoreMask(RKNNContext context, RKNNCoreMask coremask) generates (ErrorStatus status);
// set callback for clients.
registerCallback(ILoadModelCallback loadCallback, IGetResultCallback getCallback);
};