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#ifndef HIDL_GENERATED_ANDROID_HARDWARE_NEURALNETWORKS_V1_2_IPREPAREDMODEL_H
#define HIDL_GENERATED_ANDROID_HARDWARE_NEURALNETWORKS_V1_2_IPREPAREDMODEL_H
#include <android/hardware/neuralnetworks/1.0/IPreparedModel.h>
#include <android/hardware/neuralnetworks/1.0/types.h>
#include <android/hardware/neuralnetworks/1.2/IBurstCallback.h>
#include <android/hardware/neuralnetworks/1.2/IBurstContext.h>
#include <android/hardware/neuralnetworks/1.2/IExecutionCallback.h>
#include <android/hardware/neuralnetworks/1.2/types.h>
#include <android/hidl/manager/1.0/IServiceNotification.h>
#include <hidl/HidlSupport.h>
#include <hidl/MQDescriptor.h>
#include <hidl/Status.h>
#include <utils/NativeHandle.h>
#include <utils/misc.h>
namespace android {
namespace hardware {
namespace neuralnetworks {
namespace V1_2 {
/**
* IPreparedModel describes a model that has been prepared for execution and
* is used to launch executions.
*/
struct IPreparedModel : public ::android::hardware::neuralnetworks::V1_0::IPreparedModel {
/**
* Type tag for use in template logic that indicates this is a 'pure' class.
*/
typedef ::android::hardware::details::i_tag _hidl_tag;
/**
* Fully qualified interface name: "android.hardware.neuralnetworks@1.2::IPreparedModel"
*/
static const char* descriptor;
/**
* Returns whether this object's implementation is outside of the current process.
*/
virtual bool isRemote() const override { return false; }
/**
* Launches an asynchronous execution on a prepared model.
*
* The execution is performed asynchronously with respect to the caller.
* execute must verify the inputs to the function are correct. If there is
* an error, execute must immediately invoke the callback with the
* appropriate ErrorStatus value, then return with the same ErrorStatus. If
* the inputs to the function are valid and there is no error, execute must
* launch an asynchronous task to perform the execution in the background,
* and immediately return with ErrorStatus::NONE. If the asynchronous task
* fails to launch, execute must immediately invoke the callback with
* ErrorStatus::GENERAL_FAILURE, then return with
* ErrorStatus::GENERAL_FAILURE.
*
* When the asynchronous task has finished its execution, it must
* immediately invoke the callback object provided as an input to the
* execute function. This callback must be provided with the ErrorStatus of
* the execution.
*
* If the launch is successful, the caller must not change the content of
* any data object referenced by 'request' (described by the
* {@link DataLocation} of a {@link RequestArgument}) until the
* asynchronous task has invoked the callback object. The asynchronous task
* must not change the content of any of the data objects corresponding to
* 'request' inputs.
*
* If the prepared model was prepared from a model wherein all tensor
* operands have fully specified dimensions, and the inputs to the function
* are valid, then:
* - the execution should launch successfully (ErrorStatus::NONE): There
* must be no failure unless the device itself is in a bad state.
* - if at execution time every operation's input operands have legal
* values, the execution should complete successfully (ErrorStatus::NONE):
* There must be no failure unless the device itself is in a bad state.
*
* Multiple threads can call the execute function on the same IPreparedModel
* object concurrently with different requests.
*
* @param request The input and output information on which the prepared
* model is to be executed.
* @param callback A callback object used to return the error status of
* the execution. The callback object's notify function must
* be called exactly once, even if the execution was
* unsuccessful.
* @return status Error status of the call, must be:
* - NONE if task is successfully launched
* - DEVICE_UNAVAILABLE if driver is offline or busy
* - GENERAL_FAILURE if there is an unspecified error
* - OUTPUT_INSUFFICIENT_SIZE if provided output buffer is
* not large enough to store the resultant values
* - INVALID_ARGUMENT if one of the input arguments is
* invalid
*/
virtual ::android::hardware::Return<::android::hardware::neuralnetworks::V1_0::ErrorStatus> execute(const ::android::hardware::neuralnetworks::V1_0::Request& request, const ::android::sp<::android::hardware::neuralnetworks::V1_0::IExecutionCallback>& callback) = 0;
/**
* Launches an asynchronous execution on a prepared model.
*
* The execution is performed asynchronously with respect to the caller.
* execute_1_2 must verify the inputs to the function are correct. If there is
* an error, execute_1_2 must immediately invoke the callback with the
* appropriate ErrorStatus value, then return with the same ErrorStatus. If
* the inputs to the function are valid and there is no error, execute_1_2 must
* launch an asynchronous task to perform the execution in the background,
* and immediately return with ErrorStatus::NONE. If the asynchronous task
* fails to launch, execute_1_2 must immediately invoke the callback with
* ErrorStatus::GENERAL_FAILURE, then return with
* ErrorStatus::GENERAL_FAILURE.
*
* When the asynchronous task has finished its execution, it must
* immediately invoke the callback object provided as an input to the
* execute_1_2 function. This callback must be provided with the ErrorStatus of
* the execution.
*
* If the launch is successful, the caller must not change the content of
* any data object referenced by 'request' (described by the
* {@link @1.0::DataLocation} of a {@link @1.0::RequestArgument}) until the
* asynchronous task has invoked the callback object. The asynchronous task
* must not change the content of any of the data objects corresponding to
* 'request' inputs.
*
* If the prepared model was prepared from a model wherein all tensor
* operands have fully specified dimensions, and the inputs to the function
* are valid, then:
* - the execution should launch successfully (ErrorStatus::NONE): There
* must be no failure unless the device itself is in a bad state.
* - if at execution time every operation's input operands have legal
* values, the execution should complete successfully (ErrorStatus::NONE):
* There must be no failure unless the device itself is in a bad state.
*
* Any number of calls to the execute, execute_1_2, and executeSynchronously
* functions, in any combination, may be made concurrently, even on the same
* IPreparedModel object.
*
* @param request The input and output information on which the prepared
* model is to be executed.
* @param measure Specifies whether or not to measure duration of the execution.
* The duration runs from the time the driver sees the call
* to the execute_1_2 function to the time the driver invokes
* the callback.
* @param callback A callback object used to return the error status of
* the execution. The callback object's notify function must
* be called exactly once, even if the execution was
* unsuccessful.
* @return status Error status of the call, must be:
* - NONE if task is successfully launched
* - DEVICE_UNAVAILABLE if driver is offline or busy
* - GENERAL_FAILURE if there is an unspecified error
* - OUTPUT_INSUFFICIENT_SIZE if provided output buffer is
* not large enough to store the resultant values
* - INVALID_ARGUMENT if one of the input arguments is
* invalid
*/
virtual ::android::hardware::Return<::android::hardware::neuralnetworks::V1_0::ErrorStatus> execute_1_2(const ::android::hardware::neuralnetworks::V1_0::Request& request, ::android::hardware::neuralnetworks::V1_2::MeasureTiming measure, const ::android::sp<::android::hardware::neuralnetworks::V1_2::IExecutionCallback>& callback) = 0;
/**
* Return callback for executeSynchronously
*/
using executeSynchronously_cb = std::function<void(::android::hardware::neuralnetworks::V1_0::ErrorStatus status, const ::android::hardware::hidl_vec<::android::hardware::neuralnetworks::V1_2::OutputShape>& outputShapes, const ::android::hardware::neuralnetworks::V1_2::Timing& timing)>;
/**
* Performs a synchronous execution on a prepared model.
*
* The execution is performed synchronously with respect to the caller.
* executeSynchronously must verify the inputs to the function are
* correct. If there is an error, executeSynchronously must immediately
* return with the appropriate ErrorStatus value. If the inputs to the
* function are valid and there is no error, executeSynchronously must
* perform the execution, and must not return until the execution is
* complete.
*
* The caller must not change the content of any data object referenced by
* 'request' (described by the {@link @1.0::DataLocation} of a
* {@link @1.0::RequestArgument}) until executeSynchronously
* returns. executeSynchronously must not change the content of any of the
* data objects corresponding to 'request' inputs.
*
* If the prepared model was prepared from a model wherein all tensor
* operands have fully specified dimensions, and the inputs to the function
* are valid, and at execution time every operation's input operands have
* legal values, then the execution should complete successfully
* (ErrorStatus::NONE): There must be no failure unless the device itself is
* in a bad state.
*
* Any number of calls to the execute, execute_1_2, and executeSynchronously
* functions, in any combination, may be made concurrently, even on the same
* IPreparedModel object.
*
* @param request The input and output information on which the prepared
* model is to be executed.
* @param measure Specifies whether or not to measure duration of the execution.
* The duration runs from the time the driver sees the call
* to the executeSynchronously function to the time the driver
* returns from the function.
* @return status Error status of the execution, must be:
* - NONE if execution is performed successfully
* - DEVICE_UNAVAILABLE if driver is offline or busy
* - GENERAL_FAILURE if there is an unspecified error
* - OUTPUT_INSUFFICIENT_SIZE if at least one output
* operand buffer is not large enough to store the
* corresponding output
* - INVALID_ARGUMENT if one of the input arguments is
* invalid
* @return outputShapes A list of shape information of model output operands.
* The index into "outputShapes" corresponds to the index
* of the output operand in the Request outputs vector.
* outputShapes must be empty unless the status is either
* NONE or OUTPUT_INSUFFICIENT_SIZE.
* @return Timing Duration of execution. Unless measure is YES and status is
* NONE, all times must be reported as UINT64_MAX. A driver may
* choose to report any time as UINT64_MAX, indicating that
* measurement is not available.
*/
virtual ::android::hardware::Return<void> executeSynchronously(const ::android::hardware::neuralnetworks::V1_0::Request& request, ::android::hardware::neuralnetworks::V1_2::MeasureTiming measure, executeSynchronously_cb _hidl_cb) = 0;
/**
* Return callback for configureExecutionBurst
*/
using configureExecutionBurst_cb = std::function<void(::android::hardware::neuralnetworks::V1_0::ErrorStatus status, const ::android::sp<::android::hardware::neuralnetworks::V1_2::IBurstContext>& context)>;
/**
* Configure a Burst object used to execute multiple inferences on a
* prepared model in rapid succession.
*
* If the prepared model was prepared from a model wherein all tensor
* operands have fully specified dimensions, and a valid serialized Request
* is sent to the Burst for execution, and at execution time every
* operation's input operands have legal values, then the execution should
* complete successfully (ErrorStatus::NONE): There must be no failure
* unless the device itself is in a bad state.
*
* @param callback A callback object used to retrieve memory resources
* corresponding to unique identifiers ("slots").
* @param requestChannel FMQ used by the client to send a serialized Request
* to the Burst for execution. The client must not
* change the content of any data object referenced by
* the Request (described by the
* {@link @1.0::DataLocation} of an
* {@link OperandInformation}) until a result has been
* received from resultChannel. Execution must not
* change the content of any of the data objects
* corresponding to Request inputs. requestChannel
* must not be used to pass a second Request object
* until a result has been received from
* resultChannel. The client must send the request
* messages to the consumer atomically by using
* MessageQueue::writeBlocking if the queue is
* blocking, or by using MessageQueue::write if the
* queue is non-blocking. When the service receives a
* packet, it must dequeue the entire packet from the
* requestChannel. The client must not send a request
* packet that exceeds the length of the FMQ.
* @param resultChannel FMQ used by the service to return the results of an
* execution to the client: the status of the
* execution, OutputShape of all output tensors, and
* timing information. resultChannel must be used to
* return the results if a Request was sent through the
* requestChannel. The service must send the result
* messages to the consumer atomically by using
* MessageQueue::writeBlocking if the queue is
* blocking, or by using MessageQueue::write if the
* queue is non-blocking. When the client receives a
* packet, it must dequeue the entire packet from the
* resultChannel. If the packet's length exceeds the
* size of the FMQ, the service must not send this
* result packet; instead, the service must send a
* packet consisting of the error code
* ErrorStatus::GENERAL_FAILURE, no information for the
* outputShapes, and an indication that timing
* information is unavailable.
* @return status Error status of configuring the execution burst, must be:
* - NONE if the burst is successfully configured
* - DEVICE_UNAVAILABLE if driver is offline or busy
* - GENERAL_FAILURE if there is an unspecified error
* - INVALID_ARGUMENT if one of the input arguments is
* invalid
* @return context Object containing all resources (such as cached
* hidl_memory) related to a Burst if successful, otherwise
* nullptr.
*/
virtual ::android::hardware::Return<void> configureExecutionBurst(const ::android::sp<::android::hardware::neuralnetworks::V1_2::IBurstCallback>& callback, const ::android::hardware::MQDescriptorSync<::android::hardware::neuralnetworks::V1_2::FmqRequestDatum>& requestChannel, const ::android::hardware::MQDescriptorSync<::android::hardware::neuralnetworks::V1_2::FmqResultDatum>& resultChannel, configureExecutionBurst_cb _hidl_cb) = 0;
/**
* Return callback for interfaceChain
*/
using interfaceChain_cb = std::function<void(const ::android::hardware::hidl_vec<::android::hardware::hidl_string>& descriptors)>;
/*
* Provides run-time type information for this object.
* For example, for the following interface definition:
* package android.hardware.foo@1.0;
* interface IParent {};
* interface IChild extends IParent {};
* Calling interfaceChain on an IChild object must yield the following:
* ["android.hardware.foo@1.0::IChild",
* "android.hardware.foo@1.0::IParent"
* "android.hidl.base@1.0::IBase"]
*
* @return descriptors a vector of descriptors of the run-time type of the
* object.
*/
virtual ::android::hardware::Return<void> interfaceChain(interfaceChain_cb _hidl_cb) override;
/*
* Emit diagnostic information to the given file.
*
* Optionally overriden.
*
* @param fd File descriptor to dump data to.
* Must only be used for the duration of this call.
* @param options Arguments for debugging.
* Must support empty for default debug information.
*/
virtual ::android::hardware::Return<void> debug(const ::android::hardware::hidl_handle& fd, const ::android::hardware::hidl_vec<::android::hardware::hidl_string>& options) override;
/**
* Return callback for interfaceDescriptor
*/
using interfaceDescriptor_cb = std::function<void(const ::android::hardware::hidl_string& descriptor)>;
/*
* Provides run-time type information for this object.
* For example, for the following interface definition:
* package android.hardware.foo@1.0;
* interface IParent {};
* interface IChild extends IParent {};
* Calling interfaceDescriptor on an IChild object must yield
* "android.hardware.foo@1.0::IChild"
*
* @return descriptor a descriptor of the run-time type of the
* object (the first element of the vector returned by
* interfaceChain())
*/
virtual ::android::hardware::Return<void> interfaceDescriptor(interfaceDescriptor_cb _hidl_cb) override;
/**
* Return callback for getHashChain
*/
using getHashChain_cb = std::function<void(const ::android::hardware::hidl_vec<::android::hardware::hidl_array<uint8_t, 32>>& hashchain)>;
/*
* Returns hashes of the source HAL files that define the interfaces of the
* runtime type information on the object.
* For example, for the following interface definition:
* package android.hardware.foo@1.0;
* interface IParent {};
* interface IChild extends IParent {};
* Calling interfaceChain on an IChild object must yield the following:
* [(hash of IChild.hal),
* (hash of IParent.hal)
* (hash of IBase.hal)].
*
* SHA-256 is used as the hashing algorithm. Each hash has 32 bytes
* according to SHA-256 standard.
*
* @return hashchain a vector of SHA-1 digests
*/
virtual ::android::hardware::Return<void> getHashChain(getHashChain_cb _hidl_cb) override;
/*
* This method trigger the interface to enable/disable instrumentation based
* on system property hal.instrumentation.enable.
*/
virtual ::android::hardware::Return<void> setHALInstrumentation() override;
/*
* Registers a death recipient, to be called when the process hosting this
* interface dies.
*
* @param recipient a hidl_death_recipient callback object
* @param cookie a cookie that must be returned with the callback
* @return success whether the death recipient was registered successfully.
*/
virtual ::android::hardware::Return<bool> linkToDeath(const ::android::sp<::android::hardware::hidl_death_recipient>& recipient, uint64_t cookie) override;
/*
* Provides way to determine if interface is running without requesting
* any functionality.
*/
virtual ::android::hardware::Return<void> ping() override;
/**
* Return callback for getDebugInfo
*/
using getDebugInfo_cb = std::function<void(const ::android::hidl::base::V1_0::DebugInfo& info)>;
/*
* Get debug information on references on this interface.
* @return info debugging information. See comments of DebugInfo.
*/
virtual ::android::hardware::Return<void> getDebugInfo(getDebugInfo_cb _hidl_cb) override;
/*
* This method notifies the interface that one or more system properties
* have changed. The default implementation calls
* (C++) report_sysprop_change() in libcutils or
* (Java) android.os.SystemProperties.reportSyspropChanged,
* which in turn calls a set of registered callbacks (eg to update trace
* tags).
*/
virtual ::android::hardware::Return<void> notifySyspropsChanged() override;
/*
* Unregisters the registered death recipient. If this service was registered
* multiple times with the same exact death recipient, this unlinks the most
* recently registered one.
*
* @param recipient a previously registered hidl_death_recipient callback
* @return success whether the death recipient was unregistered successfully.
*/
virtual ::android::hardware::Return<bool> unlinkToDeath(const ::android::sp<::android::hardware::hidl_death_recipient>& recipient) override;
// cast static functions
/**
* This performs a checked cast based on what the underlying implementation actually is.
*/
static ::android::hardware::Return<::android::sp<::android::hardware::neuralnetworks::V1_2::IPreparedModel>> castFrom(const ::android::sp<::android::hardware::neuralnetworks::V1_2::IPreparedModel>& parent, bool emitError = false);
/**
* This performs a checked cast based on what the underlying implementation actually is.
*/
static ::android::hardware::Return<::android::sp<::android::hardware::neuralnetworks::V1_2::IPreparedModel>> castFrom(const ::android::sp<::android::hardware::neuralnetworks::V1_0::IPreparedModel>& parent, bool emitError = false);
/**
* This performs a checked cast based on what the underlying implementation actually is.
*/
static ::android::hardware::Return<::android::sp<::android::hardware::neuralnetworks::V1_2::IPreparedModel>> castFrom(const ::android::sp<::android::hidl::base::V1_0::IBase>& parent, bool emitError = false);
// helper methods for interactions with the hwservicemanager
/**
* This gets the service of this type with the specified instance name. If the
* service is currently not available or not in the VINTF manifest on a Trebilized
* device, this will return nullptr. This is useful when you don't want to block
* during device boot. If getStub is true, this will try to return an unwrapped
* passthrough implementation in the same process. This is useful when getting an
* implementation from the same partition/compilation group.
*
* In general, prefer getService(std::string,bool)
*/
static ::android::sp<IPreparedModel> tryGetService(const std::string &serviceName="default", bool getStub=false);
/**
* Deprecated. See tryGetService(std::string, bool)
*/
static ::android::sp<IPreparedModel> tryGetService(const char serviceName[], bool getStub=false) { std::string str(serviceName ? serviceName : ""); return tryGetService(str, getStub); }
/**
* Deprecated. See tryGetService(std::string, bool)
*/
static ::android::sp<IPreparedModel> tryGetService(const ::android::hardware::hidl_string& serviceName, bool getStub=false) { std::string str(serviceName.c_str()); return tryGetService(str, getStub); }
/**
* Calls tryGetService("default", bool). This is the recommended instance name for singleton services.
*/
static ::android::sp<IPreparedModel> tryGetService(bool getStub) { return tryGetService("default", getStub); }
/**
* This gets the service of this type with the specified instance name. If the
* service is not in the VINTF manifest on a Trebilized device, this will return
* nullptr. If the service is not available, this will wait for the service to
* become available. If the service is a lazy service, this will start the service
* and return when it becomes available. If getStub is true, this will try to
* return an unwrapped passthrough implementation in the same process. This is
* useful when getting an implementation from the same partition/compilation group.
*/
static ::android::sp<IPreparedModel> getService(const std::string &serviceName="default", bool getStub=false);
/**
* Deprecated. See getService(std::string, bool)
*/
static ::android::sp<IPreparedModel> getService(const char serviceName[], bool getStub=false) { std::string str(serviceName ? serviceName : ""); return getService(str, getStub); }
/**
* Deprecated. See getService(std::string, bool)
*/
static ::android::sp<IPreparedModel> getService(const ::android::hardware::hidl_string& serviceName, bool getStub=false) { std::string str(serviceName.c_str()); return getService(str, getStub); }
/**
* Calls getService("default", bool). This is the recommended instance name for singleton services.
*/
static ::android::sp<IPreparedModel> getService(bool getStub) { return getService("default", getStub); }
/**
* Registers a service with the service manager. For Trebilized devices, the service
* must also be in the VINTF manifest.
*/
__attribute__ ((warn_unused_result))::android::status_t registerAsService(const std::string &serviceName="default");
/**
* Registers for notifications for when a service is registered.
*/
static bool registerForNotifications(
const std::string &serviceName,
const ::android::sp<::android::hidl::manager::V1_0::IServiceNotification> &notification);
};
//
// type declarations for package
//
static inline std::string toString(const ::android::sp<::android::hardware::neuralnetworks::V1_2::IPreparedModel>& o);
//
// type header definitions for package
//
static inline std::string toString(const ::android::sp<::android::hardware::neuralnetworks::V1_2::IPreparedModel>& o) {
std::string os = "[class or subclass of ";
os += ::android::hardware::neuralnetworks::V1_2::IPreparedModel::descriptor;
os += "]";
os += o->isRemote() ? "@remote" : "@local";
return os;
}
} // namespace V1_2
} // namespace neuralnetworks
} // namespace hardware
} // namespace android
//
// global type declarations for package
//
#endif // HIDL_GENERATED_ANDROID_HARDWARE_NEURALNETWORKS_V1_2_IPREPAREDMODEL_H