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/*
* Copyright (C) 2017 The Android Open Source Project
*
* 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.
*/
#ifndef ANDROID_HARDWARE_NEURALNETWORKS_V1_0_CALLBACKS_H
#define ANDROID_HARDWARE_NEURALNETWORKS_V1_0_CALLBACKS_H
#include <android-base/thread_annotations.h>
#include <android/hardware/neuralnetworks/1.0/IExecutionCallback.h>
#include <android/hardware/neuralnetworks/1.0/IPreparedModelCallback.h>
#include <android/hardware/neuralnetworks/1.2/IExecutionCallback.h>
#include <android/hardware/neuralnetworks/1.2/IPreparedModelCallback.h>
#include <hidl/MQDescriptor.h>
#include <hidl/Status.h>
#include <condition_variable>
#include <functional>
#include <mutex>
#include <thread>
namespace android {
namespace hardware {
namespace neuralnetworks {
namespace V1_2 {
namespace implementation {
using V1_0::ErrorStatus;
/**
* The CallbackBase class is used internally by the NeuralNetworks runtime to
* synchronize between different threads. An asynchronous task is launched
* paired with a callback object. When a client thread requires the output being
* generated by the asynchronous task, the client thread can wait for the result
* and be blocked until it has completed. Any wait may safely be called
* concurrently, even on the same callback object. When the asynchronous task
* has finished its workload, it must immediately call "notify". If the
* asynchronous task has failed to launch, the function that tried to launch the
* asynchronous task must immediately call "notify". This "notify" call awakens
* any client threads waiting on the callback object.
*
* The CallbackBase class implements some of the base synchronization common to
* both PrepareModelCallback and ExecutionCallback. For consistency, any HIDL
* callback class must inherit from CallbackBase as well as the HIDL callback
* interface it implements.
*
* This class exists to enable synchronization across HIDL. When synchronization
* is only required in the same process, consider using std::future, std::mutex,
* std::condition_variable, or std::experimental::latch instead.
*/
class CallbackBase {
public:
CallbackBase();
~CallbackBase();
/**
* CallbackBase::wait blocks until notify has been called on the callback
* object.
*/
void wait();
/**
* CallbackBase::bind_thread binds a thread to the callback object for later
* use by CallbackBase::join_thread_locked.
*
* The thread must be passed using std::move.
*
* Once a thread is bound with CallbackBase::bind_thread, the client code
* should ensure that CallbackBase::wait has been called before the callback
* object is destroyed.
*
* The bound thread shall not call any CallbackBase method with the
* exception of CallbackBase::notify, which it must call when the thread has
* finished its computation.
*
* CallbackBase::bind_thread can be called at most once on a given callback
* object.
*
* @param asyncThread Thread to be bound to the callback object. The thread
* object must represent a thread of execution -- i.e.,
* asyncThread.joinable() must be true.
* @return bool True if successful, false if thread was not properly bound.
*/
bool bind_thread(std::thread&& asyncThread);
protected:
/**
* CallbackBase::notify enables all prior and future wait calls on the
* callback object to proceed. The call to CallbackBase::notify happens
* before any wait calls on this callback object return. The asynchronous
* call the callback object is paired with must ensure that any update to
* state that should be visible to the caller of wait happens before the
* call to CallbackBase::notify.
*
* CallbackBase::notify must be called exactly once on a given callback
* object.
*/
void notify();
/**
* CallbackBase::on_finish binds a function to the callback object. This
* bound function will be executed when CallbackBase::notify is called,
* before any calls to wait return.
*
* The bound function must not synchronize with or otherwise access the
* callback object it is bound to, as this could cause a deadlock.
*
* CallbackBase::on_finish can be called at most once on a given callback
* object, and the call to CallbackBase::on_finish must finish before
* CallbackBase::notify is called.
*
* @param post_work Function to be invoked the first time
* CallbackBase::notify is called. Must have a target -- i.e., must not
* compare equal to nullptr.
* @return bool True if the function was successfully bound, false if
* unsuccessful.
*/
bool on_finish(std::function<void()> post_work);
private:
/**
* CallbackBase::join_thread_locked ensures that the thread (if any) bound
* to this callback object with CallbackBase::bind_thread has fully finished
* and cleaned its resources.
*
* CallbackBase::join_thread_locked can be called multiple times. When
* called, it must be called while the object's mutex is locked.
*/
void join_thread_locked();
bool mNotified;
std::mutex mMutex;
std::condition_variable mCondition;
std::function<void()> mPostWork;
std::thread mThread;
};
/**
* The PreparedModelCallback class is used to receive the error status of
* preparing a model as well as the prepared model from a task executing
* asynchronously with respect to the runtime. If a calling thread calls wait
* or get* on a PreparedModelCallback object and the corresponding asynchronous
* task has not finished preparing the model, the calling thread will block
* until the asynchronous task has either called notify or notify_1_2.
*
* If the callback object is notified more than once, only the results of the
* first call to notify are used, and the results from subsequent calls are
* discarded.
*
* This callback object is passed as an argument to IDevice::prepareModel*.
*/
class PreparedModelCallback : public IPreparedModelCallback {
public:
/**
* IPreparedModelCallback::notify marks the callback object with the return
* status of the asynchronous model preparation along with the prepared
* model, and allows all prior and future wait calls on the
* PreparedModelCallback object to proceed.
*
* Either IPreparedModelCallback::notify or
* IPreparedModelCallback::notify_1_2 must be called on a given
* PreparedModelCallback object.
*
* If the callback object is notified more than once, only the results of
* the first call to notify is used, and the results from subsequent calls
* are discarded.
*
* @param status Error status returned from asynchronously preparing the
* model; will be:
* - NONE if the asynchronous preparation was successful
* - DEVICE_UNAVAILABLE if driver is offline or busy
* - GENERAL_FAILURE if there is an unspecified error
* - INVALID_ARGUMENT if the input model is invalid
* @param preparedModel Returned model that has been prepared for execution,
* nullptr if the model was unable to be prepared.
*/
Return<void> notify(ErrorStatus status, const sp<V1_0::IPreparedModel>& preparedModel) override;
/**
* IPreparedModelCallback::notify_1_2 marks the callback object with the
* return status of the asynchronous model preparation along with the
* prepared model, and allows all prior and future wait calls on the
* PreparedModelCallback object to proceed.
*
* Either IPreparedModelCallback::notify or
* IPreparedModelCallback::notify_1_2 must be called on a given
* PreparedModelCallback object.
*
* If the callback object is notified more than once, only the results of
* the first call to notify are used, and the results from subsequent calls
* are discarded.
*
* @param status Error status returned from asynchronously preparing the
* model; will be:
* - NONE if the asynchronous preparation was successful
* - DEVICE_UNAVAILABLE if driver is offline or busy
* - GENERAL_FAILURE if there is an unspecified error
* - INVALID_ARGUMENT if the input model is invalid
* @param preparedModel Returned model that has been prepared for execution,
* nullptr if the model was unable to be prepared.
*/
Return<void> notify_1_2(ErrorStatus status,
const sp<V1_2::IPreparedModel>& preparedModel) override;
/**
* PreparedModelCallback::wait blocks until notify* has been called on the
* callback object.
*/
void wait() const;
/**
* Retrieves the error status returned from the asynchronous task launched
* by IDevice::prepareModel*. If IDevice::prepareModel* has not finished
* asynchronously preparing the model, this call will block until the
* asynchronous task notifies the object.
*
* @return status Error status returned from asynchronously preparing the
* model; will be:
* - NONE if the asynchronous preparation was successful
* - DEVICE_UNAVAILABLE if driver is offline or busy
* - GENERAL_FAILURE if there is an unspecified error
* - INVALID_ARGUMENT if the input model is invalid
*/
ErrorStatus getStatus() const;
/**
* Retrieves the model that has been prepared for execution from the
* asynchronous task launched by IDevice::prepareModel*. If
* IDevice::prepareModel* has not finished asynchronously preparing the
* model, this call will block until the asynchronous task notifies the
* object.
*
* @return preparedModel Returned model that has been prepared for
* execution, nullptr if the model was unable to be prepared.
*/
sp<V1_0::IPreparedModel> getPreparedModel() const;
private:
mutable std::mutex mMutex;
mutable std::condition_variable mCondition;
bool mNotified GUARDED_BY(mMutex) = false;
ErrorStatus mErrorStatus = ErrorStatus::GENERAL_FAILURE;
sp<V1_0::IPreparedModel> mPreparedModel;
};
/**
* The ExecutionCallback class is used to receive the error status of the
* execution from a task executing asynchronously with respect to the runtime.
* If a calling thread calls wait or get* on a PreparedModelCallback object and
* the corresponding asynchronous task has not finished the execution, the
* calling thread will block until the asynchronous task has either called notify
* or notify_1_2. For more information on the synchronization behavior, refer to
* the CallbackBase class.
*
* This class inherits the basic blocking and signaling calls from
* CallbackBase, and implements the HIDL notify and notify_1_2 calls from
* IExecutionCallback. This callback object is passed as an argument to
* IPreparedModel::execute.
*/
class ExecutionCallback : public CallbackBase, public IExecutionCallback {
using ExecutionFinish =
std::function<ErrorStatus(ErrorStatus, const std::vector<OutputShape>&)>;
public:
ExecutionCallback();
~ExecutionCallback() override;
/**
* IExecutionCallback::notify and IExecutionCallback::notify_1_2 mark the
* callback object with the return status of the asynchronous execution that
* held this callback and enable all prior and future wait calls on the
* ExecutionCallback object to proceed. For more information on the
* synchronization behavior, refer to the CallbackBase class.
*
* Either IExecutionCallback::notify or IExecutionCallback::notify_1_2 must
* be called exactly once on a given ExecutionCallback object.
*
* @param status Error status returned from launching the asynchronous task
* (if the launch fails) or from the asynchronous task itself (if the
* launch succeeds). Must be:
* - NONE if the asynchronous execution was successful
* - 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 the input request is invalid
*/
Return<void> notify(ErrorStatus status) override;
/**
* Similar to IExecutionCallback::notify, but for V1_2::IPreparedModel to
* also notify output shapes along with error status.
*
* @param status Error status returned from launching the asynchronous task
* (if the launch fails) or from the asynchronous task itself (if the
* launch succeeds). Must be:
* - NONE if the asynchronous execution was successful
* - DEVICE_UNAVAILABLE if driver is offline or busy
* - GENERAL_FAILURE if the asynchronous task resulted in 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 to prepareModel is
* invalid
* @param 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 MeasureTiming::YES was
* passed when launching the execution 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 particular measurement is not
* available.
*/
Return<void> notify_1_2(ErrorStatus status, const hidl_vec<OutputShape>& outputShapes,
const Timing& timing) override;
// An overload of the latest notify interface to hide the version from ExecutionBuilder.
Return<void> notify(ErrorStatus status, const hidl_vec<OutputShape>& outputShapes,
const Timing& timing) {
return notify_1_2(status, outputShapes, timing);
}
/**
* Retrieves the error status returned from the asynchronous task launched
* by either IPreparedModel::execute or IPreparedModel::execute_1_2. If
* IPreparedModel::execute or IPreparedModel::execute_1_2 has not finished
* asynchronously executing, this call will block until the asynchronous
* task notifies the object.
*
* @return status Error status returned from launching the asynchronous task
* (if the launch fails) or from the asynchronous task itself (if the
* launch succeeds). Must be:
* - NONE if the asynchronous execution was successful
* - DEVICE_UNAVAILABLE if driver is offline or busy
* - GENERAL_FAILURE if the asynchronous task resulted in 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 to prepareModel is
* invalid
*/
ErrorStatus getStatus();
/**
* Retrieves the output shapes returned from the asynchronous task launched
* by IPreparedModel::execute_1_2. If IPreparedModel::execute_1_2 has not
* finished asynchronously executing, this call will block until the
* asynchronous task notifies the object.
*
* If the asynchronous task was launched by IPreparedModel::execute, an
* empty vector will be returned.
*
* @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. outputShaps may be empty if the status is
* NONE and all model output operands are fully-specified at execution
* time. outputShapes must have the same number of elements as the
* number of model output operands if the status is
* OUTPUT_INSUFFICIENT_SIZE, or if the status is NONE and the model has
* at least one output operand that is not fully-specified.
*/
const std::vector<OutputShape>& getOutputShapes();
/**
* Retrieves the duration of execution of the asynchronous task launched by
* IPreparedModel::execute_1_2. If IPreparedModel::execute_1_2 has not
* finished asynchronously executing, this call will block until the
* asynchronous task notifies the object.
*
* If the asynchronous task was launched by IPreparedModel::execute, every
* time must be UINT64_MAX.
*
* @return timing Duration of the execution. Every time must be UINT64_MAX
* unless the status is NONE.
*/
Timing getTiming();
// The callback will invoke finish(mErrorStatus) on finish.
void setOnFinish(const ExecutionFinish& finish) { mOnFinish = finish; }
private:
ErrorStatus mErrorStatus = ErrorStatus::GENERAL_FAILURE;
std::vector<OutputShape> mOutputShapes = {};
Timing mTiming = {};
ExecutionFinish mOnFinish;
};
} // namespace implementation
} // namespace V1_2
} // namespace neuralnetworks
} // namespace hardware
} // namespace android
namespace android::nn {
using ::android::hardware::neuralnetworks::V1_2::implementation::ExecutionCallback;
using ::android::hardware::neuralnetworks::V1_2::implementation::PreparedModelCallback;
} // namespace android::nn
#endif // ANDROID_HARDWARE_NEURALNETWORKS_V1_0_CALLBACKS_H