Implement full canonical Burst in NN util code
Bug: 180492058
Bug: 177267324
Test: mma
Test: presubmit
Change-Id: I5018f6cf2dbaf705f74f4f46318142c64433e19d
Merged-In: I5018f6cf2dbaf705f74f4f46318142c64433e19d
(cherry picked from commit acff4063b63c04cbb28af87eab61e9a1fa70980a)
diff --git a/neuralnetworks/1.2/utils/Android.bp b/neuralnetworks/1.2/utils/Android.bp
index 2921141..41281ee 100644
--- a/neuralnetworks/1.2/utils/Android.bp
+++ b/neuralnetworks/1.2/utils/Android.bp
@@ -27,7 +27,6 @@
name: "neuralnetworks_utils_hal_1_2",
defaults: ["neuralnetworks_utils_defaults"],
srcs: ["src/*"],
- exclude_srcs: ["src/ExecutionBurst*"],
local_include_dirs: ["include/nnapi/hal/1.2/"],
export_include_dirs: ["include"],
cflags: ["-Wthread-safety"],
@@ -41,10 +40,16 @@
"android.hardware.neuralnetworks@1.0",
"android.hardware.neuralnetworks@1.1",
"android.hardware.neuralnetworks@1.2",
+ "libfmq",
],
export_static_lib_headers: [
"neuralnetworks_utils_hal_common",
],
+ product_variables: {
+ debuggable: { // eng and userdebug builds
+ cflags: ["-DNN_DEBUGGABLE"],
+ },
+ },
}
cc_test {
diff --git a/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Conversions.h b/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Conversions.h
index 6fd1337..272cee7 100644
--- a/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Conversions.h
+++ b/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Conversions.h
@@ -52,6 +52,7 @@
GeneralResult<Model> convert(const hal::V1_2::Model& model);
GeneralResult<MeasureTiming> convert(const hal::V1_2::MeasureTiming& measureTiming);
GeneralResult<Timing> convert(const hal::V1_2::Timing& timing);
+GeneralResult<SharedMemory> convert(const hardware::hidl_memory& memory);
GeneralResult<std::vector<Extension>> convert(
const hardware::hidl_vec<hal::V1_2::Extension>& extensions);
diff --git a/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/ExecutionBurstController.h b/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/ExecutionBurstController.h
index 5356a91..6b6fc71 100644
--- a/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/ExecutionBurstController.h
+++ b/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/ExecutionBurstController.h
@@ -14,23 +14,28 @@
* limitations under the License.
*/
-#ifndef ANDROID_FRAMEWORKS_ML_NN_COMMON_EXECUTION_BURST_CONTROLLER_H
-#define ANDROID_FRAMEWORKS_ML_NN_COMMON_EXECUTION_BURST_CONTROLLER_H
+#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_EXECUTION_BURST_CONTROLLER_H
+#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_EXECUTION_BURST_CONTROLLER_H
#include "ExecutionBurstUtils.h"
-#include <android-base/macros.h>
+#include <android-base/thread_annotations.h>
#include <android/hardware/neuralnetworks/1.0/types.h>
-#include <android/hardware/neuralnetworks/1.1/types.h>
#include <android/hardware/neuralnetworks/1.2/IBurstCallback.h>
#include <android/hardware/neuralnetworks/1.2/IBurstContext.h>
#include <android/hardware/neuralnetworks/1.2/IPreparedModel.h>
#include <android/hardware/neuralnetworks/1.2/types.h>
#include <fmq/MessageQueue.h>
#include <hidl/MQDescriptor.h>
+#include <nnapi/IBurst.h>
+#include <nnapi/IPreparedModel.h>
+#include <nnapi/Result.h>
+#include <nnapi/Types.h>
+#include <nnapi/hal/ProtectCallback.h>
#include <atomic>
#include <chrono>
+#include <functional>
#include <map>
#include <memory>
#include <mutex>
@@ -39,147 +44,145 @@
#include <utility>
#include <vector>
-namespace android::nn {
+namespace android::hardware::neuralnetworks::V1_2::utils {
/**
- * The ExecutionBurstController class manages both the serialization and
- * deserialization of data across FMQ, making it appear to the runtime as a
- * regular synchronous inference. Additionally, this class manages the burst's
- * memory cache.
+ * The ExecutionBurstController class manages both the serialization and deserialization of data
+ * across FMQ, making it appear to the runtime as a regular synchronous inference. Additionally,
+ * this class manages the burst's memory cache.
*/
-class ExecutionBurstController {
- DISALLOW_IMPLICIT_CONSTRUCTORS(ExecutionBurstController);
+class ExecutionBurstController final : public nn::IBurst {
+ struct PrivateConstructorTag {};
public:
+ using FallbackFunction =
+ std::function<nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>>(
+ const nn::Request&, nn::MeasureTiming)>;
+
/**
- * NN runtime burst callback object and memory cache.
+ * NN runtime memory cache.
*
- * ExecutionBurstCallback associates a hidl_memory object with a slot number
- * to be passed across FMQ. The ExecutionBurstServer can use this callback
- * to retrieve this hidl_memory corresponding to the slot via HIDL.
+ * MemoryCache associates a Memory object with a slot number to be passed across FMQ. The
+ * ExecutionBurstServer can use this callback to retrieve a hidl_memory corresponding to the
+ * slot via HIDL.
*
- * Whenever a hidl_memory object is copied, it will duplicate the underlying
- * file descriptor. Because the NN runtime currently copies the hidl_memory
- * on each execution, it is difficult to associate hidl_memory objects with
- * previously cached hidl_memory objects. For this reason, callers of this
- * class must pair each hidl_memory object with an associated key. For
- * efficiency, if two hidl_memory objects represent the same underlying
- * buffer, they must use the same key.
+ * Whenever a hidl_memory object is copied, it will duplicate the underlying file descriptor.
+ * Because the NN runtime currently copies the hidl_memory on each execution, it is difficult to
+ * associate hidl_memory objects with previously cached hidl_memory objects. For this reason,
+ * callers of this class must pair each hidl_memory object with an associated key. For
+ * efficiency, if two hidl_memory objects represent the same underlying buffer, they must use
+ * the same key.
+ *
+ * This class is thread-safe.
*/
- class ExecutionBurstCallback : public hardware::neuralnetworks::V1_2::IBurstCallback {
- DISALLOW_COPY_AND_ASSIGN(ExecutionBurstCallback);
+ class MemoryCache : public std::enable_shared_from_this<MemoryCache> {
+ struct PrivateConstructorTag {};
public:
- ExecutionBurstCallback() = default;
+ using Task = std::function<void()>;
+ using Cleanup = base::ScopeGuard<Task>;
+ using SharedCleanup = std::shared_ptr<const Cleanup>;
+ using WeakCleanup = std::weak_ptr<const Cleanup>;
- hardware::Return<void> getMemories(const hardware::hidl_vec<int32_t>& slots,
- getMemories_cb cb) override;
+ // Custom constructor to pre-allocate cache sizes.
+ MemoryCache();
/**
- * This function performs one of two different actions:
- * 1) If a key corresponding to a memory resource is unrecognized by the
- * ExecutionBurstCallback object, the ExecutionBurstCallback object
- * will allocate a slot, bind the memory to the slot, and return the
- * slot identifier.
- * 2) If a key corresponding to a memory resource is recognized by the
- * ExecutionBurstCallback object, the ExecutionBurstCallback object
- * will return the existing slot identifier.
+ * Add a burst context to the MemoryCache object.
*
- * @param memories Memory resources used in an inference.
- * @param keys Unique identifiers where each element corresponds to a
- * memory resource element in "memories".
- * @return Unique slot identifiers where each returned slot element
- * corresponds to a memory resource element in "memories".
+ * If this method is called, it must be called before the MemoryCache::cacheMemory or
+ * MemoryCache::getMemory is used.
+ *
+ * @param burstContext Burst context to be added to the MemoryCache object.
*/
- std::vector<int32_t> getSlots(const hardware::hidl_vec<hardware::hidl_memory>& memories,
- const std::vector<intptr_t>& keys);
+ void setBurstContext(sp<IBurstContext> burstContext);
- /*
- * This function performs two different actions:
- * 1) Removes an entry from the cache (if present), including the local
- * storage of the hidl_memory object. Note that this call does not
- * free any corresponding hidl_memory object in ExecutionBurstServer,
- * which is separately freed via IBurstContext::freeMemory.
- * 2) Return whether a cache entry was removed and which slot was removed if
- * found. If the key did not to correspond to any entry in the cache, a
- * slot number of 0 is returned. The slot number and whether the entry
- * existed is useful so the same slot can be freed in the
- * ExecutionBurstServer's cache via IBurstContext::freeMemory.
+ /**
+ * Cache a memory object in the MemoryCache object.
+ *
+ * @param memory Memory object to be cached while the returned `SharedCleanup` is alive.
+ * @return A pair of (1) a unique identifier for the cache entry and (2) a ref-counted
+ * "hold" object which preserves the cache as long as the hold object is alive.
*/
- std::pair<bool, int32_t> freeMemory(intptr_t key);
+ std::pair<int32_t, SharedCleanup> cacheMemory(const nn::SharedMemory& memory);
+
+ /**
+ * Get the memory object corresponding to a slot identifier.
+ *
+ * @param slot Slot which identifies the memory object to retrieve.
+ * @return The memory object corresponding to slot, otherwise GeneralError.
+ */
+ nn::GeneralResult<nn::SharedMemory> getMemory(int32_t slot);
private:
- int32_t getSlotLocked(const hardware::hidl_memory& memory, intptr_t key);
- int32_t allocateSlotLocked();
+ void freeMemory(const nn::SharedMemory& memory);
+ int32_t allocateSlotLocked() REQUIRES(mMutex);
std::mutex mMutex;
- std::stack<int32_t, std::vector<int32_t>> mFreeSlots;
- std::map<intptr_t, int32_t> mMemoryIdToSlot;
- std::vector<hardware::hidl_memory> mMemoryCache;
+ std::condition_variable mCond;
+ sp<IBurstContext> mBurstContext GUARDED_BY(mMutex);
+ std::stack<int32_t, std::vector<int32_t>> mFreeSlots GUARDED_BY(mMutex);
+ std::map<nn::SharedMemory, int32_t> mMemoryIdToSlot GUARDED_BY(mMutex);
+ std::vector<nn::SharedMemory> mMemoryCache GUARDED_BY(mMutex);
+ std::vector<WeakCleanup> mCacheCleaner GUARDED_BY(mMutex);
+ };
+
+ /**
+ * HIDL Callback class to pass memory objects to the Burst server when given corresponding
+ * slots.
+ */
+ class ExecutionBurstCallback : public IBurstCallback {
+ public:
+ // Precondition: memoryCache must be non-null.
+ explicit ExecutionBurstCallback(const std::shared_ptr<MemoryCache>& memoryCache);
+
+ // See IBurstCallback::getMemories for information on this method.
+ Return<void> getMemories(const hidl_vec<int32_t>& slots, getMemories_cb cb) override;
+
+ private:
+ const std::weak_ptr<MemoryCache> kMemoryCache;
};
/**
* Creates a burst controller on a prepared model.
*
- * Prefer this over ExecutionBurstController's constructor.
- *
* @param preparedModel Model prepared for execution to execute on.
- * @param pollingTimeWindow How much time (in microseconds) the
- * ExecutionBurstController is allowed to poll the FMQ before waiting on
- * the blocking futex. Polling may result in lower latencies at the
- * potential cost of more power usage.
+ * @param pollingTimeWindow How much time (in microseconds) the ExecutionBurstController is
+ * allowed to poll the FMQ before waiting on the blocking futex. Polling may result in lower
+ * latencies at the potential cost of more power usage.
* @return ExecutionBurstController Execution burst controller object.
*/
- static std::unique_ptr<ExecutionBurstController> create(
- const sp<hardware::neuralnetworks::V1_2::IPreparedModel>& preparedModel,
+ static nn::GeneralResult<std::shared_ptr<const ExecutionBurstController>> create(
+ const sp<IPreparedModel>& preparedModel, FallbackFunction fallback,
std::chrono::microseconds pollingTimeWindow);
- // prefer calling ExecutionBurstController::create
- ExecutionBurstController(const std::shared_ptr<RequestChannelSender>& requestChannelSender,
- const std::shared_ptr<ResultChannelReceiver>& resultChannelReceiver,
- const sp<hardware::neuralnetworks::V1_2::IBurstContext>& burstContext,
- const sp<ExecutionBurstCallback>& callback,
- const sp<hardware::hidl_death_recipient>& deathHandler = nullptr);
+ ExecutionBurstController(PrivateConstructorTag tag, FallbackFunction fallback,
+ std::unique_ptr<RequestChannelSender> requestChannelSender,
+ std::unique_ptr<ResultChannelReceiver> resultChannelReceiver,
+ sp<ExecutionBurstCallback> callback, sp<IBurstContext> burstContext,
+ std::shared_ptr<MemoryCache> memoryCache,
+ neuralnetworks::utils::DeathHandler deathHandler);
- // explicit destructor to unregister the death recipient
- ~ExecutionBurstController();
+ // See IBurst::cacheMemory for information on this method.
+ OptionalCacheHold cacheMemory(const nn::SharedMemory& memory) const override;
- /**
- * Execute a request on a model.
- *
- * @param request Arguments to be executed on a model.
- * @param measure Whether to collect timing measurements, either YES or NO
- * @param memoryIds Identifiers corresponding to each memory object in the
- * request's pools.
- * @return A tuple of:
- * - result code of the execution
- * - dynamic output shapes from the execution
- * - any execution time measurements of the execution
- * - whether or not a failed burst execution should be re-run using a
- * different path (e.g., IPreparedModel::executeSynchronously)
- */
- std::tuple<int, std::vector<hardware::neuralnetworks::V1_2::OutputShape>,
- hardware::neuralnetworks::V1_2::Timing, bool>
- compute(const hardware::neuralnetworks::V1_0::Request& request,
- hardware::neuralnetworks::V1_2::MeasureTiming measure,
- const std::vector<intptr_t>& memoryIds);
-
- /**
- * Propagate a user's freeing of memory to the service.
- *
- * @param key Key corresponding to the memory object.
- */
- void freeMemory(intptr_t key);
+ // See IBurst::execute for information on this method.
+ nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> execute(
+ const nn::Request& request, nn::MeasureTiming measure) const override;
private:
- std::mutex mMutex;
- const std::shared_ptr<RequestChannelSender> mRequestChannelSender;
- const std::shared_ptr<ResultChannelReceiver> mResultChannelReceiver;
- const sp<hardware::neuralnetworks::V1_2::IBurstContext> mBurstContext;
- const sp<ExecutionBurstCallback> mMemoryCache;
- const sp<hardware::hidl_death_recipient> mDeathHandler;
+ mutable std::atomic_flag mExecutionInFlight = ATOMIC_FLAG_INIT;
+ const FallbackFunction kFallback;
+ const std::unique_ptr<RequestChannelSender> mRequestChannelSender;
+ const std::unique_ptr<ResultChannelReceiver> mResultChannelReceiver;
+ const sp<ExecutionBurstCallback> mBurstCallback;
+ const sp<IBurstContext> mBurstContext;
+ const std::shared_ptr<MemoryCache> mMemoryCache;
+ // `kDeathHandler` must come after `mRequestChannelSender` and `mResultChannelReceiver` because
+ // it holds references to both objects.
+ const neuralnetworks::utils::DeathHandler kDeathHandler;
};
-} // namespace android::nn
+} // namespace android::hardware::neuralnetworks::V1_2::utils
-#endif // ANDROID_FRAMEWORKS_ML_NN_COMMON_EXECUTION_BURST_CONTROLLER_H
+#endif // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_EXECUTION_BURST_CONTROLLER_H
diff --git a/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/ExecutionBurstServer.h b/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/ExecutionBurstServer.h
index 2e109b2..f7926f5 100644
--- a/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/ExecutionBurstServer.h
+++ b/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/ExecutionBurstServer.h
@@ -14,19 +14,22 @@
* limitations under the License.
*/
-#ifndef ANDROID_FRAMEWORKS_ML_NN_COMMON_EXECUTION_BURST_SERVER_H
-#define ANDROID_FRAMEWORKS_ML_NN_COMMON_EXECUTION_BURST_SERVER_H
+#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_EXECUTION_BURST_SERVER_H
+#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_EXECUTION_BURST_SERVER_H
#include "ExecutionBurstUtils.h"
-#include <android-base/macros.h>
+#include <android-base/thread_annotations.h>
#include <android/hardware/neuralnetworks/1.0/types.h>
-#include <android/hardware/neuralnetworks/1.1/types.h>
#include <android/hardware/neuralnetworks/1.2/IBurstCallback.h>
#include <android/hardware/neuralnetworks/1.2/IPreparedModel.h>
#include <android/hardware/neuralnetworks/1.2/types.h>
#include <fmq/MessageQueue.h>
#include <hidl/MQDescriptor.h>
+#include <nnapi/IBurst.h>
+#include <nnapi/Result.h>
+#include <nnapi/Types.h>
+#include <nnapi/hal/ProtectCallback.h>
#include <atomic>
#include <chrono>
@@ -36,84 +39,61 @@
#include <tuple>
#include <vector>
-namespace android::nn {
+namespace android::hardware::neuralnetworks::V1_2::utils {
/**
- * The ExecutionBurstServer class is responsible for waiting for and
- * deserializing a request object from a FMQ, performing the inference, and
- * serializing the result back across another FMQ.
+ * The ExecutionBurstServer class is responsible for waiting for and deserializing a request object
+ * from a FMQ, performing the inference, and serializing the result back across another FMQ.
*/
-class ExecutionBurstServer : public hardware::neuralnetworks::V1_2::IBurstContext {
- DISALLOW_IMPLICIT_CONSTRUCTORS(ExecutionBurstServer);
+class ExecutionBurstServer : public IBurstContext {
+ struct PrivateConstructorTag {};
public:
/**
- * IBurstExecutorWithCache is a callback object passed to
- * ExecutionBurstServer's factory function that is used to perform an
- * execution. Because some memory resources are needed across multiple
- * executions, this object also contains a local cache that can directly be
- * used in the execution.
+ * Class to cache the memory objects for a burst object.
*
- * ExecutionBurstServer will never access its IBurstExecutorWithCache object
- * with concurrent calls.
+ * This class is thread-safe.
*/
- class IBurstExecutorWithCache {
- DISALLOW_COPY_AND_ASSIGN(IBurstExecutorWithCache);
-
+ class MemoryCache {
public:
- IBurstExecutorWithCache() = default;
- virtual ~IBurstExecutorWithCache() = default;
+ // Precondition: burstExecutor != nullptr
+ // Precondition: burstCallback != nullptr
+ MemoryCache(nn::SharedBurst burstExecutor, sp<IBurstCallback> burstCallback);
/**
- * Checks if a cache entry specified by a slot is present in the cache.
+ * Get the cached memory objects corresponding to provided slot identifiers.
*
- * @param slot Identifier of the cache entry.
- * @return 'true' if the cache entry is present in the cache, 'false'
- * otherwise.
+ * If the slot entry is not present in the cache, this class will use IBurstCallback to
+ * retrieve those entries that are not present in the cache, then cache them.
+ *
+ * @param slots Identifiers of memory objects to be retrieved.
+ * @return A vector where each element is the memory object and a ref-counted cache "hold"
+ * object to preserve the cache entry of the IBurst object as long as the "hold" object
+ * is alive, otherwise GeneralError. Each element of the vector corresponds to the
+ * element of slot.
*/
- virtual bool isCacheEntryPresent(int32_t slot) const = 0;
+ nn::GeneralResult<std::vector<std::pair<nn::SharedMemory, nn::IBurst::OptionalCacheHold>>>
+ getCacheEntries(const std::vector<int32_t>& slots);
/**
- * Adds an entry specified by a slot to the cache.
+ * Remove an entry from the cache.
*
- * The caller of this function must ensure that the cache entry that is
- * being added is not already present in the cache. This can be checked
- * via isCacheEntryPresent.
- *
- * @param memory Memory resource to be cached.
- * @param slot Slot identifier corresponding to the memory resource.
+ * @param slot Identifier of the memory object to be removed from the cache.
*/
- virtual void addCacheEntry(const hardware::hidl_memory& memory, int32_t slot) = 0;
+ void removeCacheEntry(int32_t slot);
- /**
- * Removes an entry specified by a slot from the cache.
- *
- * If the cache entry corresponding to the slot number does not exist,
- * the call does nothing.
- *
- * @param slot Slot identifier corresponding to the memory resource.
- */
- virtual void removeCacheEntry(int32_t slot) = 0;
+ private:
+ nn::GeneralResult<void> ensureCacheEntriesArePresentLocked(
+ const std::vector<int32_t>& slots) REQUIRES(mMutex);
+ nn::GeneralResult<std::pair<nn::SharedMemory, nn::IBurst::OptionalCacheHold>>
+ getCacheEntryLocked(int32_t slot) REQUIRES(mMutex);
+ void addCacheEntryLocked(int32_t slot, nn::SharedMemory memory) REQUIRES(mMutex);
- /**
- * Perform an execution.
- *
- * @param request Request object with inputs and outputs specified.
- * Request::pools is empty, and DataLocation::poolIndex instead
- * refers to the 'slots' argument as if it were Request::pools.
- * @param slots Slots corresponding to the cached memory entries to be
- * used.
- * @param measure Whether timing information is requested for the
- * execution.
- * @return Result of the execution, including the status of the
- * execution, dynamic output shapes, and any timing information.
- */
- virtual std::tuple<hardware::neuralnetworks::V1_0::ErrorStatus,
- hardware::hidl_vec<hardware::neuralnetworks::V1_2::OutputShape>,
- hardware::neuralnetworks::V1_2::Timing>
- execute(const hardware::neuralnetworks::V1_0::Request& request,
- const std::vector<int32_t>& slots,
- hardware::neuralnetworks::V1_2::MeasureTiming measure) = 0;
+ std::mutex mMutex;
+ std::map<int32_t, std::pair<nn::SharedMemory, nn::IBurst::OptionalCacheHold>> mCache
+ GUARDED_BY(mMutex);
+ nn::SharedBurst kBurstExecutor;
+ const sp<IBurstCallback> kBurstCallback;
};
/**
@@ -124,85 +104,52 @@
* 2) Execute a model with the given information
* 3) Send the result to the created FMQ
*
- * @param callback Callback used to retrieve memories corresponding to
- * unrecognized slots.
- * @param requestChannel Input FMQ channel through which the client passes the
- * request to the service.
- * @param resultChannel Output FMQ channel from which the client can retrieve
- * the result of the execution.
- * @param executorWithCache Object which maintains a local cache of the
- * memory pools and executes using the cached memory pools.
- * @param pollingTimeWindow How much time (in microseconds) the
- * ExecutionBurstServer is allowed to poll the FMQ before waiting on
- * the blocking futex. Polling may result in lower latencies at the
- * potential cost of more power usage.
- * @result IBurstContext Handle to the burst context.
- */
- static sp<ExecutionBurstServer> create(
- const sp<hardware::neuralnetworks::V1_2::IBurstCallback>& callback,
- const FmqRequestDescriptor& requestChannel, const FmqResultDescriptor& resultChannel,
- std::shared_ptr<IBurstExecutorWithCache> executorWithCache,
- std::chrono::microseconds pollingTimeWindow = std::chrono::microseconds{0});
-
- /**
- * Create automated context to manage FMQ-based executions.
- *
- * This function is intended to be used by a service to automatically:
- * 1) Receive data from a provided FMQ
- * 2) Execute a model with the given information
- * 3) Send the result to the created FMQ
- *
- * @param callback Callback used to retrieve memories corresponding to
- * unrecognized slots.
- * @param requestChannel Input FMQ channel through which the client passes the
- * request to the service.
- * @param resultChannel Output FMQ channel from which the client can retrieve
- * the result of the execution.
- * @param preparedModel PreparedModel that the burst object was created from.
- * IPreparedModel::executeSynchronously will be used to perform the
+ * @param callback Callback used to retrieve memories corresponding to unrecognized slots.
+ * @param requestChannel Input FMQ channel through which the client passes the request to the
+ * service.
+ * @param resultChannel Output FMQ channel from which the client can retrieve the result of the
* execution.
- * @param pollingTimeWindow How much time (in microseconds) the
- * ExecutionBurstServer is allowed to poll the FMQ before waiting on
- * the blocking futex. Polling may result in lower latencies at the
- * potential cost of more power usage.
- * @result IBurstContext Handle to the burst context.
+ * @param burstExecutor Object which maintains a local cache of the memory pools and executes
+ * using the cached memory pools.
+ * @param pollingTimeWindow How much time (in microseconds) the ExecutionBurstServer is allowed
+ * to poll the FMQ before waiting on the blocking futex. Polling may result in lower
+ * latencies at the potential cost of more power usage.
+ * @return IBurstContext Handle to the burst context.
*/
- static sp<ExecutionBurstServer> create(
- const sp<hardware::neuralnetworks::V1_2::IBurstCallback>& callback,
- const FmqRequestDescriptor& requestChannel, const FmqResultDescriptor& resultChannel,
- hardware::neuralnetworks::V1_2::IPreparedModel* preparedModel,
+ static nn::GeneralResult<sp<ExecutionBurstServer>> create(
+ const sp<IBurstCallback>& callback,
+ const MQDescriptorSync<FmqRequestDatum>& requestChannel,
+ const MQDescriptorSync<FmqResultDatum>& resultChannel, nn::SharedBurst burstExecutor,
std::chrono::microseconds pollingTimeWindow = std::chrono::microseconds{0});
- ExecutionBurstServer(const sp<hardware::neuralnetworks::V1_2::IBurstCallback>& callback,
+ ExecutionBurstServer(PrivateConstructorTag tag, const sp<IBurstCallback>& callback,
std::unique_ptr<RequestChannelReceiver> requestChannel,
std::unique_ptr<ResultChannelSender> resultChannel,
- std::shared_ptr<IBurstExecutorWithCache> cachedExecutor);
+ nn::SharedBurst burstExecutor);
~ExecutionBurstServer();
- // Used by the NN runtime to preemptively remove any stored memory.
- hardware::Return<void> freeMemory(int32_t slot) override;
+ // Used by the NN runtime to preemptively remove any stored memory. See
+ // IBurstContext::freeMemory for more information.
+ Return<void> freeMemory(int32_t slot) override;
private:
- // Ensures all cache entries contained in mExecutorWithCache are present in
- // the cache. If they are not present, they are retrieved (via
- // IBurstCallback::getMemories) and added to mExecutorWithCache.
- //
- // This method is locked via mMutex when it is called.
- void ensureCacheEntriesArePresentLocked(const std::vector<int32_t>& slots);
-
- // Work loop that will continue processing execution requests until the
- // ExecutionBurstServer object is freed.
+ // Work loop that will continue processing execution requests until the ExecutionBurstServer
+ // object is freed.
void task();
+ nn::ExecutionResult<std::pair<hidl_vec<OutputShape>, Timing>> execute(
+ const V1_0::Request& requestWithoutPools, const std::vector<int32_t>& slotsOfPools,
+ MeasureTiming measure);
+
std::thread mWorker;
- std::mutex mMutex;
std::atomic<bool> mTeardown{false};
- const sp<hardware::neuralnetworks::V1_2::IBurstCallback> mCallback;
+ const sp<IBurstCallback> mCallback;
const std::unique_ptr<RequestChannelReceiver> mRequestChannelReceiver;
const std::unique_ptr<ResultChannelSender> mResultChannelSender;
- const std::shared_ptr<IBurstExecutorWithCache> mExecutorWithCache;
+ const nn::SharedBurst mBurstExecutor;
+ MemoryCache mMemoryCache;
};
-} // namespace android::nn
+} // namespace android::hardware::neuralnetworks::V1_2::utils
-#endif // ANDROID_FRAMEWORKS_ML_NN_COMMON_EXECUTION_BURST_SERVER_H
+#endif // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_EXECUTION_BURST_SERVER_H
diff --git a/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/ExecutionBurstUtils.h b/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/ExecutionBurstUtils.h
index 8a41591..c662bc3 100644
--- a/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/ExecutionBurstUtils.h
+++ b/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/ExecutionBurstUtils.h
@@ -18,15 +18,16 @@
#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_EXECUTION_BURST_UTILS_H
#include <android/hardware/neuralnetworks/1.0/types.h>
-#include <android/hardware/neuralnetworks/1.1/types.h>
#include <android/hardware/neuralnetworks/1.2/types.h>
#include <fmq/MessageQueue.h>
#include <hidl/MQDescriptor.h>
+#include <nnapi/Result.h>
+#include <nnapi/Types.h>
+#include <nnapi/hal/ProtectCallback.h>
#include <atomic>
#include <chrono>
#include <memory>
-#include <optional>
#include <tuple>
#include <utility>
#include <vector>
@@ -38,159 +39,139 @@
*/
constexpr const size_t kExecutionBurstChannelLength = 1024;
-using FmqRequestDescriptor = MQDescriptorSync<FmqRequestDatum>;
-using FmqResultDescriptor = MQDescriptorSync<FmqResultDatum>;
+/**
+ * Get how long the burst controller should poll while waiting for results to be returned.
+ *
+ * This time can be affected by the property "debug.nn.burst-controller-polling-window".
+ *
+ * @return Polling time in microseconds.
+ */
+std::chrono::microseconds getBurstControllerPollingTimeWindow();
+
+/**
+ * Get how long the burst server should poll while waiting for a request to be received.
+ *
+ * This time can be affected by the property "debug.nn.burst-server-polling-window".
+ *
+ * @return Polling time in microseconds.
+ */
+std::chrono::microseconds getBurstServerPollingTimeWindow();
/**
* Function to serialize a request.
*
- * Prefer calling RequestChannelSender::send.
- *
* @param request Request object without the pool information.
* @param measure Whether to collect timing information for the execution.
- * @param memoryIds Slot identifiers corresponding to memory resources for the
- * request.
+ * @param memoryIds Slot identifiers corresponding to memory resources for the request.
* @return Serialized FMQ request data.
*/
-std::vector<hardware::neuralnetworks::V1_2::FmqRequestDatum> serialize(
- const hardware::neuralnetworks::V1_0::Request& request,
- hardware::neuralnetworks::V1_2::MeasureTiming measure, const std::vector<int32_t>& slots);
+std::vector<FmqRequestDatum> serialize(const V1_0::Request& request, MeasureTiming measure,
+ const std::vector<int32_t>& slots);
/**
* Deserialize the FMQ request data.
*
- * The three resulting fields are the Request object (where Request::pools is
- * empty), slot identifiers (which are stand-ins for Request::pools), and
- * whether timing information must be collected for the run.
+ * The three resulting fields are the Request object (where Request::pools is empty), slot
+ * identifiers (which are stand-ins for Request::pools), and whether timing information must be
+ * collected for the run.
*
* @param data Serialized FMQ request data.
- * @return Request object if successfully deserialized, std::nullopt otherwise.
+ * @return Request object if successfully deserialized, otherwise an error message.
*/
-std::optional<std::tuple<hardware::neuralnetworks::V1_0::Request, std::vector<int32_t>,
- hardware::neuralnetworks::V1_2::MeasureTiming>>
-deserialize(const std::vector<hardware::neuralnetworks::V1_2::FmqRequestDatum>& data);
+nn::Result<std::tuple<V1_0::Request, std::vector<int32_t>, MeasureTiming>> deserialize(
+ const std::vector<FmqRequestDatum>& data);
/**
* Function to serialize results.
*
- * Prefer calling ResultChannelSender::send.
- *
* @param errorStatus Status of the execution.
* @param outputShapes Dynamic shapes of the output tensors.
* @param timing Timing information of the execution.
* @return Serialized FMQ result data.
*/
-std::vector<hardware::neuralnetworks::V1_2::FmqResultDatum> serialize(
- hardware::neuralnetworks::V1_0::ErrorStatus errorStatus,
- const std::vector<hardware::neuralnetworks::V1_2::OutputShape>& outputShapes,
- hardware::neuralnetworks::V1_2::Timing timing);
+std::vector<FmqResultDatum> serialize(V1_0::ErrorStatus errorStatus,
+ const std::vector<OutputShape>& outputShapes, Timing timing);
/**
* Deserialize the FMQ result data.
*
- * The three resulting fields are the status of the execution, the dynamic
- * shapes of the output tensors, and the timing information of the execution.
+ * The three resulting fields are the status of the execution, the dynamic shapes of the output
+ * tensors, and the timing information of the execution.
*
* @param data Serialized FMQ result data.
- * @return Result object if successfully deserialized, std::nullopt otherwise.
+ * @return Result object if successfully deserialized, otherwise an error message.
*/
-std::optional<std::tuple<hardware::neuralnetworks::V1_0::ErrorStatus,
- std::vector<hardware::neuralnetworks::V1_2::OutputShape>,
- hardware::neuralnetworks::V1_2::Timing>>
-deserialize(const std::vector<hardware::neuralnetworks::V1_2::FmqResultDatum>& data);
+nn::Result<std::tuple<V1_0::ErrorStatus, std::vector<OutputShape>, Timing>> deserialize(
+ const std::vector<FmqResultDatum>& data);
/**
- * Convert result code to error status.
- *
- * @param resultCode Result code to be converted.
- * @return ErrorStatus Resultant error status.
+ * RequestChannelSender is responsible for serializing the result packet of information, sending it
+ * on the result channel, and signaling that the data is available.
*/
-hardware::neuralnetworks::V1_0::ErrorStatus legacyConvertResultCodeToErrorStatus(int resultCode);
-
-/**
- * RequestChannelSender is responsible for serializing the result packet of
- * information, sending it on the result channel, and signaling that the data is
- * available.
- */
-class RequestChannelSender {
- using FmqRequestDescriptor =
- hardware::MQDescriptorSync<hardware::neuralnetworks::V1_2::FmqRequestDatum>;
- using FmqRequestChannel =
- hardware::MessageQueue<hardware::neuralnetworks::V1_2::FmqRequestDatum,
- hardware::kSynchronizedReadWrite>;
+class RequestChannelSender final : public neuralnetworks::utils::IProtectedCallback {
+ struct PrivateConstructorTag {};
public:
/**
* Create the sending end of a request channel.
*
- * Prefer this call over the constructor.
- *
* @param channelLength Number of elements in the FMQ.
- * @return A pair of ResultChannelReceiver and the FMQ descriptor on
- * successful creation, both nullptr otherwise.
+ * @return A pair of ResultChannelReceiver and the FMQ descriptor on successful creation,
+ * GeneralError otherwise.
*/
- static std::pair<std::unique_ptr<RequestChannelSender>, const FmqRequestDescriptor*> create(
- size_t channelLength);
+ static nn::GeneralResult<std::pair<std::unique_ptr<RequestChannelSender>,
+ const MQDescriptorSync<FmqRequestDatum>*>>
+ create(size_t channelLength);
/**
* Send the request to the channel.
*
* @param request Request object without the pool information.
* @param measure Whether to collect timing information for the execution.
- * @param memoryIds Slot identifiers corresponding to memory resources for
- * the request.
- * @return 'true' on successful send, 'false' otherwise.
+ * @param slots Slot identifiers corresponding to memory resources for the request.
+ * @return An empty `Result` on successful send, otherwise an error message.
*/
- bool send(const hardware::neuralnetworks::V1_0::Request& request,
- hardware::neuralnetworks::V1_2::MeasureTiming measure,
- const std::vector<int32_t>& slots);
+ nn::Result<void> send(const V1_0::Request& request, MeasureTiming measure,
+ const std::vector<int32_t>& slots);
/**
- * Method to mark the channel as invalid, causing all future calls to
- * RequestChannelSender::send to immediately return false without attempting
- * to send a message across the FMQ.
+ * Method to mark the channel as invalid, causing all future calls to RequestChannelSender::send
+ * to immediately return false without attempting to send a message across the FMQ.
*/
- void invalidate();
+ void notifyAsDeadObject() override;
// prefer calling RequestChannelSender::send
- bool sendPacket(const std::vector<hardware::neuralnetworks::V1_2::FmqRequestDatum>& packet);
+ nn::Result<void> sendPacket(const std::vector<FmqRequestDatum>& packet);
- RequestChannelSender(std::unique_ptr<FmqRequestChannel> fmqRequestChannel);
+ RequestChannelSender(PrivateConstructorTag tag, size_t channelLength);
private:
- const std::unique_ptr<FmqRequestChannel> mFmqRequestChannel;
+ MessageQueue<FmqRequestDatum, kSynchronizedReadWrite> mFmqRequestChannel;
std::atomic<bool> mValid{true};
};
/**
- * RequestChannelReceiver is responsible for waiting on the channel until the
- * packet is available, extracting the packet from the channel, and
- * deserializing the packet.
+ * RequestChannelReceiver is responsible for waiting on the channel until the packet is available,
+ * extracting the packet from the channel, and deserializing the packet.
*
- * Because the receiver can wait on a packet that may never come (e.g., because
- * the sending side of the packet has been closed), this object can be
- * invalidated, unblocking the receiver.
+ * Because the receiver can wait on a packet that may never come (e.g., because the sending side of
+ * the packet has been closed), this object can be invalidated, unblocking the receiver.
*/
-class RequestChannelReceiver {
- using FmqRequestChannel =
- hardware::MessageQueue<hardware::neuralnetworks::V1_2::FmqRequestDatum,
- hardware::kSynchronizedReadWrite>;
+class RequestChannelReceiver final {
+ struct PrivateConstructorTag {};
public:
/**
* Create the receiving end of a request channel.
*
- * Prefer this call over the constructor.
- *
* @param requestChannel Descriptor for the request channel.
- * @param pollingTimeWindow How much time (in microseconds) the
- * RequestChannelReceiver is allowed to poll the FMQ before waiting on
- * the blocking futex. Polling may result in lower latencies at the
- * potential cost of more power usage.
+ * @param pollingTimeWindow How much time (in microseconds) the RequestChannelReceiver is
+ * allowed to poll the FMQ before waiting on the blocking futex. Polling may result in lower
+ * latencies at the potential cost of more power usage.
* @return RequestChannelReceiver on successful creation, nullptr otherwise.
*/
- static std::unique_ptr<RequestChannelReceiver> create(
- const FmqRequestDescriptor& requestChannel,
+ static nn::GeneralResult<std::unique_ptr<RequestChannelReceiver>> create(
+ const MQDescriptorSync<FmqRequestDatum>& requestChannel,
std::chrono::microseconds pollingTimeWindow);
/**
@@ -200,49 +181,45 @@
* 1) The packet has been retrieved, or
* 2) The receiver has been invalidated
*
- * @return Request object if successfully received, std::nullopt if error or
- * if the receiver object was invalidated.
+ * @return Request object if successfully received, an appropriate message if error or if the
+ * receiver object was invalidated.
*/
- std::optional<std::tuple<hardware::neuralnetworks::V1_0::Request, std::vector<int32_t>,
- hardware::neuralnetworks::V1_2::MeasureTiming>>
- getBlocking();
+ nn::Result<std::tuple<V1_0::Request, std::vector<int32_t>, MeasureTiming>> getBlocking();
/**
- * Method to mark the channel as invalid, unblocking any current or future
- * calls to RequestChannelReceiver::getBlocking.
+ * Method to mark the channel as invalid, unblocking any current or future calls to
+ * RequestChannelReceiver::getBlocking.
*/
void invalidate();
- RequestChannelReceiver(std::unique_ptr<FmqRequestChannel> fmqRequestChannel,
+ RequestChannelReceiver(PrivateConstructorTag tag,
+ const MQDescriptorSync<FmqRequestDatum>& requestChannel,
std::chrono::microseconds pollingTimeWindow);
private:
- std::optional<std::vector<hardware::neuralnetworks::V1_2::FmqRequestDatum>> getPacketBlocking();
+ nn::Result<std::vector<FmqRequestDatum>> getPacketBlocking();
- const std::unique_ptr<FmqRequestChannel> mFmqRequestChannel;
+ MessageQueue<FmqRequestDatum, kSynchronizedReadWrite> mFmqRequestChannel;
std::atomic<bool> mTeardown{false};
const std::chrono::microseconds kPollingTimeWindow;
};
/**
- * ResultChannelSender is responsible for serializing the result packet of
- * information, sending it on the result channel, and signaling that the data is
- * available.
+ * ResultChannelSender is responsible for serializing the result packet of information, sending it
+ * on the result channel, and signaling that the data is available.
*/
-class ResultChannelSender {
- using FmqResultChannel = hardware::MessageQueue<hardware::neuralnetworks::V1_2::FmqResultDatum,
- hardware::kSynchronizedReadWrite>;
+class ResultChannelSender final {
+ struct PrivateConstructorTag {};
public:
/**
* Create the sending end of a result channel.
*
- * Prefer this call over the constructor.
- *
* @param resultChannel Descriptor for the result channel.
* @return ResultChannelSender on successful creation, nullptr otherwise.
*/
- static std::unique_ptr<ResultChannelSender> create(const FmqResultDescriptor& resultChannel);
+ static nn::GeneralResult<std::unique_ptr<ResultChannelSender>> create(
+ const MQDescriptorSync<FmqResultDatum>& resultChannel);
/**
* Send the result to the channel.
@@ -250,52 +227,44 @@
* @param errorStatus Status of the execution.
* @param outputShapes Dynamic shapes of the output tensors.
* @param timing Timing information of the execution.
- * @return 'true' on successful send, 'false' otherwise.
*/
- bool send(hardware::neuralnetworks::V1_0::ErrorStatus errorStatus,
- const std::vector<hardware::neuralnetworks::V1_2::OutputShape>& outputShapes,
- hardware::neuralnetworks::V1_2::Timing timing);
+ void send(V1_0::ErrorStatus errorStatus, const std::vector<OutputShape>& outputShapes,
+ Timing timing);
// prefer calling ResultChannelSender::send
- bool sendPacket(const std::vector<hardware::neuralnetworks::V1_2::FmqResultDatum>& packet);
+ void sendPacket(const std::vector<FmqResultDatum>& packet);
- ResultChannelSender(std::unique_ptr<FmqResultChannel> fmqResultChannel);
+ ResultChannelSender(PrivateConstructorTag tag,
+ const MQDescriptorSync<FmqResultDatum>& resultChannel);
private:
- const std::unique_ptr<FmqResultChannel> mFmqResultChannel;
+ MessageQueue<FmqResultDatum, kSynchronizedReadWrite> mFmqResultChannel;
};
/**
- * ResultChannelReceiver is responsible for waiting on the channel until the
- * packet is available, extracting the packet from the channel, and
- * deserializing the packet.
+ * ResultChannelReceiver is responsible for waiting on the channel until the packet is available,
+ * extracting the packet from the channel, and deserializing the packet.
*
- * Because the receiver can wait on a packet that may never come (e.g., because
- * the sending side of the packet has been closed), this object can be
- * invalidated, unblocking the receiver.
+ * Because the receiver can wait on a packet that may never come (e.g., because the sending side of
+ * the packet has been closed), this object can be invalidated, unblocking the receiver.
*/
-class ResultChannelReceiver {
- using FmqResultDescriptor =
- hardware::MQDescriptorSync<hardware::neuralnetworks::V1_2::FmqResultDatum>;
- using FmqResultChannel = hardware::MessageQueue<hardware::neuralnetworks::V1_2::FmqResultDatum,
- hardware::kSynchronizedReadWrite>;
+class ResultChannelReceiver final : public neuralnetworks::utils::IProtectedCallback {
+ struct PrivateConstructorTag {};
public:
/**
* Create the receiving end of a result channel.
*
- * Prefer this call over the constructor.
- *
* @param channelLength Number of elements in the FMQ.
- * @param pollingTimeWindow How much time (in microseconds) the
- * ResultChannelReceiver is allowed to poll the FMQ before waiting on
- * the blocking futex. Polling may result in lower latencies at the
- * potential cost of more power usage.
- * @return A pair of ResultChannelReceiver and the FMQ descriptor on
- * successful creation, both nullptr otherwise.
+ * @param pollingTimeWindow How much time (in microseconds) the ResultChannelReceiver is allowed
+ * to poll the FMQ before waiting on the blocking futex. Polling may result in lower
+ * latencies at the potential cost of more power usage.
+ * @return A pair of ResultChannelReceiver and the FMQ descriptor on successful creation, or
+ * GeneralError otherwise.
*/
- static std::pair<std::unique_ptr<ResultChannelReceiver>, const FmqResultDescriptor*> create(
- size_t channelLength, std::chrono::microseconds pollingTimeWindow);
+ static nn::GeneralResult<std::pair<std::unique_ptr<ResultChannelReceiver>,
+ const MQDescriptorSync<FmqResultDatum>*>>
+ create(size_t channelLength, std::chrono::microseconds pollingTimeWindow);
/**
* Get the result from the channel.
@@ -304,28 +273,25 @@
* 1) The packet has been retrieved, or
* 2) The receiver has been invalidated
*
- * @return Result object if successfully received, std::nullopt if error or
+ * @return Result object if successfully received, otherwise an appropriate message if error or
* if the receiver object was invalidated.
*/
- std::optional<std::tuple<hardware::neuralnetworks::V1_0::ErrorStatus,
- std::vector<hardware::neuralnetworks::V1_2::OutputShape>,
- hardware::neuralnetworks::V1_2::Timing>>
- getBlocking();
+ nn::Result<std::tuple<V1_0::ErrorStatus, std::vector<OutputShape>, Timing>> getBlocking();
/**
- * Method to mark the channel as invalid, unblocking any current or future
- * calls to ResultChannelReceiver::getBlocking.
+ * Method to mark the channel as invalid, unblocking any current or future calls to
+ * ResultChannelReceiver::getBlocking.
*/
- void invalidate();
+ void notifyAsDeadObject() override;
// prefer calling ResultChannelReceiver::getBlocking
- std::optional<std::vector<hardware::neuralnetworks::V1_2::FmqResultDatum>> getPacketBlocking();
+ nn::Result<std::vector<FmqResultDatum>> getPacketBlocking();
- ResultChannelReceiver(std::unique_ptr<FmqResultChannel> fmqResultChannel,
+ ResultChannelReceiver(PrivateConstructorTag tag, size_t channelLength,
std::chrono::microseconds pollingTimeWindow);
private:
- const std::unique_ptr<FmqResultChannel> mFmqResultChannel;
+ MessageQueue<FmqResultDatum, kSynchronizedReadWrite> mFmqResultChannel;
std::atomic<bool> mValid{true};
const std::chrono::microseconds kPollingTimeWindow;
};
diff --git a/neuralnetworks/1.2/utils/src/Conversions.cpp b/neuralnetworks/1.2/utils/src/Conversions.cpp
index 86a417a..2c45583 100644
--- a/neuralnetworks/1.2/utils/src/Conversions.cpp
+++ b/neuralnetworks/1.2/utils/src/Conversions.cpp
@@ -331,6 +331,10 @@
return validatedConvert(timing);
}
+GeneralResult<SharedMemory> convert(const hardware::hidl_memory& memory) {
+ return validatedConvert(memory);
+}
+
GeneralResult<std::vector<Extension>> convert(const hidl_vec<hal::V1_2::Extension>& extensions) {
return validatedConvert(extensions);
}
diff --git a/neuralnetworks/1.2/utils/src/ExecutionBurstController.cpp b/neuralnetworks/1.2/utils/src/ExecutionBurstController.cpp
index 2265861..eedf591 100644
--- a/neuralnetworks/1.2/utils/src/ExecutionBurstController.cpp
+++ b/neuralnetworks/1.2/utils/src/ExecutionBurstController.cpp
@@ -17,283 +17,321 @@
#define LOG_TAG "ExecutionBurstController"
#include "ExecutionBurstController.h"
+#include "ExecutionBurstUtils.h"
#include <android-base/logging.h>
+#include <android-base/thread_annotations.h>
+#include <nnapi/IBurst.h>
+#include <nnapi/IPreparedModel.h>
+#include <nnapi/Result.h>
+#include <nnapi/TypeUtils.h>
+#include <nnapi/Types.h>
+#include <nnapi/Validation.h>
+#include <nnapi/hal/1.0/Conversions.h>
+#include <nnapi/hal/HandleError.h>
+#include <nnapi/hal/ProtectCallback.h>
+#include <nnapi/hal/TransferValue.h>
#include <algorithm>
#include <cstring>
#include <limits>
#include <memory>
#include <string>
+#include <thread>
#include <tuple>
#include <utility>
#include <vector>
-#include "ExecutionBurstUtils.h"
-#include "HalInterfaces.h"
+#include "Callbacks.h"
+#include "Conversions.h"
#include "Tracing.h"
#include "Utils.h"
-namespace android::nn {
+namespace android::hardware::neuralnetworks::V1_2::utils {
namespace {
-class BurstContextDeathHandler : public hardware::hidl_death_recipient {
- public:
- using Callback = std::function<void()>;
-
- BurstContextDeathHandler(const Callback& onDeathCallback) : mOnDeathCallback(onDeathCallback) {
- CHECK(onDeathCallback != nullptr);
+nn::GeneralResult<sp<IBurstContext>> executionBurstResultCallback(
+ V1_0::ErrorStatus status, const sp<IBurstContext>& burstContext) {
+ HANDLE_HAL_STATUS(status) << "IPreparedModel::configureExecutionBurst failed with status "
+ << toString(status);
+ if (burstContext == nullptr) {
+ return NN_ERROR(nn::ErrorStatus::GENERAL_FAILURE)
+ << "IPreparedModel::configureExecutionBurst returned nullptr for burst";
}
-
- void serviceDied(uint64_t /*cookie*/, const wp<hidl::base::V1_0::IBase>& /*who*/) override {
- LOG(ERROR) << "BurstContextDeathHandler::serviceDied -- service unexpectedly died!";
- mOnDeathCallback();
- }
-
- private:
- const Callback mOnDeathCallback;
-};
-
-} // anonymous namespace
-
-hardware::Return<void> ExecutionBurstController::ExecutionBurstCallback::getMemories(
- const hardware::hidl_vec<int32_t>& slots, getMemories_cb cb) {
- std::lock_guard<std::mutex> guard(mMutex);
-
- // get all memories
- hardware::hidl_vec<hardware::hidl_memory> memories(slots.size());
- std::transform(slots.begin(), slots.end(), memories.begin(), [this](int32_t slot) {
- return slot < mMemoryCache.size() ? mMemoryCache[slot] : hardware::hidl_memory{};
- });
-
- // ensure all memories are valid
- if (!std::all_of(memories.begin(), memories.end(),
- [](const hardware::hidl_memory& memory) { return memory.valid(); })) {
- cb(V1_0::ErrorStatus::INVALID_ARGUMENT, {});
- return hardware::Void();
- }
-
- // return successful
- cb(V1_0::ErrorStatus::NONE, std::move(memories));
- return hardware::Void();
+ return burstContext;
}
-std::vector<int32_t> ExecutionBurstController::ExecutionBurstCallback::getSlots(
- const hardware::hidl_vec<hardware::hidl_memory>& memories,
- const std::vector<intptr_t>& keys) {
- std::lock_guard<std::mutex> guard(mMutex);
-
- // retrieve (or bind) all slots corresponding to memories
- std::vector<int32_t> slots;
- slots.reserve(memories.size());
- for (size_t i = 0; i < memories.size(); ++i) {
- slots.push_back(getSlotLocked(memories[i], keys[i]));
+nn::GeneralResult<hidl_vec<hidl_memory>> getMemoriesHelper(
+ const hidl_vec<int32_t>& slots,
+ const std::shared_ptr<ExecutionBurstController::MemoryCache>& memoryCache) {
+ hidl_vec<hidl_memory> memories(slots.size());
+ for (size_t i = 0; i < slots.size(); ++i) {
+ const int32_t slot = slots[i];
+ const auto memory = NN_TRY(memoryCache->getMemory(slot));
+ memories[i] = NN_TRY(V1_0::utils::unvalidatedConvert(memory));
+ if (!memories[i].valid()) {
+ return NN_ERROR() << "memory at slot " << slot << " is invalid";
+ }
}
- return slots;
+ return memories;
}
-std::pair<bool, int32_t> ExecutionBurstController::ExecutionBurstCallback::freeMemory(
- intptr_t key) {
- std::lock_guard<std::mutex> guard(mMutex);
+} // namespace
- auto iter = mMemoryIdToSlot.find(key);
- if (iter == mMemoryIdToSlot.end()) {
- return {false, 0};
- }
- const int32_t slot = iter->second;
- mMemoryIdToSlot.erase(key);
- mMemoryCache[slot] = {};
- mFreeSlots.push(slot);
- return {true, slot};
+// MemoryCache methods
+
+ExecutionBurstController::MemoryCache::MemoryCache() {
+ constexpr size_t kPreallocatedCount = 1024;
+ std::vector<int32_t> freeSlotsSpace;
+ freeSlotsSpace.reserve(kPreallocatedCount);
+ mFreeSlots = std::stack<int32_t, std::vector<int32_t>>(std::move(freeSlotsSpace));
+ mMemoryCache.reserve(kPreallocatedCount);
+ mCacheCleaner.reserve(kPreallocatedCount);
}
-int32_t ExecutionBurstController::ExecutionBurstCallback::getSlotLocked(
- const hardware::hidl_memory& memory, intptr_t key) {
- auto iter = mMemoryIdToSlot.find(key);
- if (iter == mMemoryIdToSlot.end()) {
- const int32_t slot = allocateSlotLocked();
- mMemoryIdToSlot[key] = slot;
- mMemoryCache[slot] = memory;
- return slot;
- } else {
+void ExecutionBurstController::MemoryCache::setBurstContext(sp<IBurstContext> burstContext) {
+ std::lock_guard guard(mMutex);
+ mBurstContext = std::move(burstContext);
+}
+
+std::pair<int32_t, ExecutionBurstController::MemoryCache::SharedCleanup>
+ExecutionBurstController::MemoryCache::cacheMemory(const nn::SharedMemory& memory) {
+ std::unique_lock lock(mMutex);
+ base::ScopedLockAssertion lockAssert(mMutex);
+
+ // Use existing cache entry if (1) the Memory object is in the cache and (2) the cache entry is
+ // not currently being freed.
+ auto iter = mMemoryIdToSlot.find(memory);
+ while (iter != mMemoryIdToSlot.end()) {
const int32_t slot = iter->second;
- return slot;
+ if (auto cleaner = mCacheCleaner.at(slot).lock()) {
+ return std::make_pair(slot, std::move(cleaner));
+ }
+
+ // If the code reaches this point, the Memory object was in the cache, but is currently
+ // being destroyed. This code waits until the cache entry has been freed, then loops to
+ // ensure the cache entry has been freed or has been made present by another thread.
+ mCond.wait(lock);
+ iter = mMemoryIdToSlot.find(memory);
}
+
+ // Allocate a new cache entry.
+ const int32_t slot = allocateSlotLocked();
+ mMemoryIdToSlot[memory] = slot;
+ mMemoryCache[slot] = memory;
+
+ // Create reference-counted self-cleaning cache object.
+ auto self = weak_from_this();
+ Task cleanup = [memory, memoryCache = std::move(self)] {
+ if (const auto lock = memoryCache.lock()) {
+ lock->freeMemory(memory);
+ }
+ };
+ auto cleaner = std::make_shared<const Cleanup>(std::move(cleanup));
+ mCacheCleaner[slot] = cleaner;
+
+ return std::make_pair(slot, std::move(cleaner));
}
-int32_t ExecutionBurstController::ExecutionBurstCallback::allocateSlotLocked() {
+nn::GeneralResult<nn::SharedMemory> ExecutionBurstController::MemoryCache::getMemory(int32_t slot) {
+ std::lock_guard guard(mMutex);
+ if (slot < 0 || static_cast<size_t>(slot) >= mMemoryCache.size()) {
+ return NN_ERROR() << "Invalid slot: " << slot << " vs " << mMemoryCache.size();
+ }
+ return mMemoryCache[slot];
+}
+
+void ExecutionBurstController::MemoryCache::freeMemory(const nn::SharedMemory& memory) {
+ {
+ std::lock_guard guard(mMutex);
+ const int32_t slot = mMemoryIdToSlot.at(memory);
+ if (mBurstContext) {
+ mBurstContext->freeMemory(slot);
+ }
+ mMemoryIdToSlot.erase(memory);
+ mMemoryCache[slot] = {};
+ mCacheCleaner[slot].reset();
+ mFreeSlots.push(slot);
+ }
+ mCond.notify_all();
+}
+
+int32_t ExecutionBurstController::MemoryCache::allocateSlotLocked() {
constexpr size_t kMaxNumberOfSlots = std::numeric_limits<int32_t>::max();
- // if there is a free slot, use it
- if (mFreeSlots.size() > 0) {
+ // If there is a free slot, use it.
+ if (!mFreeSlots.empty()) {
const int32_t slot = mFreeSlots.top();
mFreeSlots.pop();
return slot;
}
- // otherwise use a slot for the first time
- CHECK(mMemoryCache.size() < kMaxNumberOfSlots) << "Exceeded maximum number of slots!";
+ // Use a slot for the first time.
+ CHECK_LT(mMemoryCache.size(), kMaxNumberOfSlots) << "Exceeded maximum number of slots!";
const int32_t slot = static_cast<int32_t>(mMemoryCache.size());
mMemoryCache.emplace_back();
+ mCacheCleaner.emplace_back();
return slot;
}
-std::unique_ptr<ExecutionBurstController> ExecutionBurstController::create(
- const sp<V1_2::IPreparedModel>& preparedModel,
+// ExecutionBurstCallback methods
+
+ExecutionBurstController::ExecutionBurstCallback::ExecutionBurstCallback(
+ const std::shared_ptr<MemoryCache>& memoryCache)
+ : kMemoryCache(memoryCache) {
+ CHECK(memoryCache != nullptr);
+}
+
+Return<void> ExecutionBurstController::ExecutionBurstCallback::getMemories(
+ const hidl_vec<int32_t>& slots, getMemories_cb cb) {
+ const auto memoryCache = kMemoryCache.lock();
+ if (memoryCache == nullptr) {
+ LOG(ERROR) << "ExecutionBurstController::ExecutionBurstCallback::getMemories called after "
+ "the MemoryCache has been freed";
+ cb(V1_0::ErrorStatus::GENERAL_FAILURE, {});
+ return Void();
+ }
+
+ const auto maybeMemories = getMemoriesHelper(slots, memoryCache);
+ if (!maybeMemories.has_value()) {
+ const auto& [message, code] = maybeMemories.error();
+ LOG(ERROR) << "ExecutionBurstController::ExecutionBurstCallback::getMemories failed with "
+ << code << ": " << message;
+ cb(V1_0::ErrorStatus::INVALID_ARGUMENT, {});
+ return Void();
+ }
+
+ cb(V1_0::ErrorStatus::NONE, maybeMemories.value());
+ return Void();
+}
+
+// ExecutionBurstController methods
+
+nn::GeneralResult<std::shared_ptr<const ExecutionBurstController>> ExecutionBurstController::create(
+ const sp<V1_2::IPreparedModel>& preparedModel, FallbackFunction fallback,
std::chrono::microseconds pollingTimeWindow) {
// check inputs
if (preparedModel == nullptr) {
- LOG(ERROR) << "ExecutionBurstController::create passed a nullptr";
- return nullptr;
+ return NN_ERROR() << "ExecutionBurstController::create passed a nullptr";
}
- // create callback object
- sp<ExecutionBurstCallback> callback = new ExecutionBurstCallback();
-
// create FMQ objects
- auto [requestChannelSenderTemp, requestChannelDescriptor] =
- RequestChannelSender::create(kExecutionBurstChannelLength);
- auto [resultChannelReceiverTemp, resultChannelDescriptor] =
- ResultChannelReceiver::create(kExecutionBurstChannelLength, pollingTimeWindow);
- std::shared_ptr<RequestChannelSender> requestChannelSender =
- std::move(requestChannelSenderTemp);
- std::shared_ptr<ResultChannelReceiver> resultChannelReceiver =
- std::move(resultChannelReceiverTemp);
+ auto [requestChannelSender, requestChannelDescriptor] =
+ NN_TRY(RequestChannelSender::create(kExecutionBurstChannelLength));
+ auto [resultChannelReceiver, resultChannelDescriptor] =
+ NN_TRY(ResultChannelReceiver::create(kExecutionBurstChannelLength, pollingTimeWindow));
// check FMQ objects
- if (!requestChannelSender || !resultChannelReceiver || !requestChannelDescriptor ||
- !resultChannelDescriptor) {
- LOG(ERROR) << "ExecutionBurstController::create failed to create FastMessageQueue";
- return nullptr;
- }
+ CHECK(requestChannelSender != nullptr);
+ CHECK(requestChannelDescriptor != nullptr);
+ CHECK(resultChannelReceiver != nullptr);
+ CHECK(resultChannelDescriptor != nullptr);
+
+ // create memory cache
+ auto memoryCache = std::make_shared<MemoryCache>();
+
+ // create callback object
+ auto burstCallback = sp<ExecutionBurstCallback>::make(memoryCache);
+ auto cb = hal::utils::CallbackValue(executionBurstResultCallback);
// configure burst
- V1_0::ErrorStatus errorStatus;
- sp<IBurstContext> burstContext;
- const hardware::Return<void> ret = preparedModel->configureExecutionBurst(
- callback, *requestChannelDescriptor, *resultChannelDescriptor,
- [&errorStatus, &burstContext](V1_0::ErrorStatus status,
- const sp<IBurstContext>& context) {
- errorStatus = status;
- burstContext = context;
- });
+ const Return<void> ret = preparedModel->configureExecutionBurst(
+ burstCallback, *requestChannelDescriptor, *resultChannelDescriptor, cb);
+ HANDLE_TRANSPORT_FAILURE(ret);
- // check burst
- if (!ret.isOk()) {
- LOG(ERROR) << "IPreparedModel::configureExecutionBurst failed with description "
- << ret.description();
- return nullptr;
- }
- if (errorStatus != V1_0::ErrorStatus::NONE) {
- LOG(ERROR) << "IPreparedModel::configureExecutionBurst failed with status "
- << toString(errorStatus);
- return nullptr;
- }
- if (burstContext == nullptr) {
- LOG(ERROR) << "IPreparedModel::configureExecutionBurst returned nullptr for burst";
- return nullptr;
- }
+ auto burstContext = NN_TRY(cb.take());
+ memoryCache->setBurstContext(burstContext);
// create death handler object
- BurstContextDeathHandler::Callback onDeathCallback = [requestChannelSender,
- resultChannelReceiver] {
- requestChannelSender->invalidate();
- resultChannelReceiver->invalidate();
- };
- const sp<BurstContextDeathHandler> deathHandler = new BurstContextDeathHandler(onDeathCallback);
-
- // linkToDeath registers a callback that will be invoked on service death to
- // proactively handle service crashes. If the linkToDeath call fails,
- // asynchronous calls are susceptible to hangs if the service crashes before
- // providing the response.
- const hardware::Return<bool> deathHandlerRet = burstContext->linkToDeath(deathHandler, 0);
- if (!deathHandlerRet.isOk() || deathHandlerRet != true) {
- LOG(ERROR) << "ExecutionBurstController::create -- Failed to register a death recipient "
- "for the IBurstContext object.";
- return nullptr;
- }
+ auto deathHandler = NN_TRY(neuralnetworks::utils::DeathHandler::create(burstContext));
+ deathHandler.protectCallbackForLifetimeOfDeathHandler(requestChannelSender.get());
+ deathHandler.protectCallbackForLifetimeOfDeathHandler(resultChannelReceiver.get());
// make and return controller
- return std::make_unique<ExecutionBurstController>(requestChannelSender, resultChannelReceiver,
- burstContext, callback, deathHandler);
+ return std::make_shared<const ExecutionBurstController>(
+ PrivateConstructorTag{}, std::move(fallback), std::move(requestChannelSender),
+ std::move(resultChannelReceiver), std::move(burstCallback), std::move(burstContext),
+ std::move(memoryCache), std::move(deathHandler));
}
ExecutionBurstController::ExecutionBurstController(
- const std::shared_ptr<RequestChannelSender>& requestChannelSender,
- const std::shared_ptr<ResultChannelReceiver>& resultChannelReceiver,
- const sp<IBurstContext>& burstContext, const sp<ExecutionBurstCallback>& callback,
- const sp<hardware::hidl_death_recipient>& deathHandler)
- : mRequestChannelSender(requestChannelSender),
- mResultChannelReceiver(resultChannelReceiver),
- mBurstContext(burstContext),
- mMemoryCache(callback),
- mDeathHandler(deathHandler) {}
+ PrivateConstructorTag /*tag*/, FallbackFunction fallback,
+ std::unique_ptr<RequestChannelSender> requestChannelSender,
+ std::unique_ptr<ResultChannelReceiver> resultChannelReceiver,
+ sp<ExecutionBurstCallback> callback, sp<IBurstContext> burstContext,
+ std::shared_ptr<MemoryCache> memoryCache, neuralnetworks::utils::DeathHandler deathHandler)
+ : kFallback(std::move(fallback)),
+ mRequestChannelSender(std::move(requestChannelSender)),
+ mResultChannelReceiver(std::move(resultChannelReceiver)),
+ mBurstCallback(std::move(callback)),
+ mBurstContext(std::move(burstContext)),
+ mMemoryCache(std::move(memoryCache)),
+ kDeathHandler(std::move(deathHandler)) {}
-ExecutionBurstController::~ExecutionBurstController() {
- // It is safe to ignore any errors resulting from this unlinkToDeath call
- // because the ExecutionBurstController object is already being destroyed
- // and its underlying IBurstContext object is no longer being used by the NN
- // runtime.
- if (mDeathHandler) {
- mBurstContext->unlinkToDeath(mDeathHandler).isOk();
+ExecutionBurstController::OptionalCacheHold ExecutionBurstController::cacheMemory(
+ const nn::SharedMemory& memory) const {
+ auto [slot, hold] = mMemoryCache->cacheMemory(memory);
+ return hold;
+}
+
+nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>>
+ExecutionBurstController::execute(const nn::Request& request, nn::MeasureTiming measure) const {
+ // This is the first point when we know an execution is occurring, so begin to collect
+ // systraces. Note that the first point we can begin collecting systraces in
+ // ExecutionBurstServer is when the RequestChannelReceiver realizes there is data in the FMQ, so
+ // ExecutionBurstServer collects systraces at different points in the code.
+ NNTRACE_FULL(NNTRACE_LAYER_IPC, NNTRACE_PHASE_EXECUTION, "ExecutionBurstController::execute");
+
+ // if the request is valid but of a higher version than what's supported in burst execution,
+ // fall back to another execution path
+ if (const auto version = NN_TRY(hal::utils::makeExecutionFailure(nn::validate(request)));
+ version > nn::Version::ANDROID_Q) {
+ // fallback to another execution path if the packet could not be sent
+ if (kFallback) {
+ return kFallback(request, measure);
+ }
+ return NN_ERROR() << "Request object has features not supported by IBurst::execute";
}
-}
-static std::tuple<int, std::vector<V1_2::OutputShape>, V1_2::Timing, bool> getExecutionResult(
- V1_0::ErrorStatus status, std::vector<V1_2::OutputShape> outputShapes, V1_2::Timing timing,
- bool fallback) {
- auto [n, checkedOutputShapes, checkedTiming] =
- getExecutionResult(convertToV1_3(status), std::move(outputShapes), timing);
- return {n, convertToV1_2(checkedOutputShapes), convertToV1_2(checkedTiming), fallback};
-}
+ // clear pools field of request, as they will be provided via slots
+ const auto requestWithoutPools =
+ nn::Request{.inputs = request.inputs, .outputs = request.outputs, .pools = {}};
+ auto hidlRequest = NN_TRY(
+ hal::utils::makeExecutionFailure(V1_0::utils::unvalidatedConvert(requestWithoutPools)));
+ const auto hidlMeasure = NN_TRY(hal::utils::makeExecutionFailure(convert(measure)));
-std::tuple<int, std::vector<V1_2::OutputShape>, V1_2::Timing, bool>
-ExecutionBurstController::compute(const V1_0::Request& request, V1_2::MeasureTiming measure,
- const std::vector<intptr_t>& memoryIds) {
- // This is the first point when we know an execution is occurring, so begin
- // to collect systraces. Note that the first point we can begin collecting
- // systraces in ExecutionBurstServer is when the RequestChannelReceiver
- // realizes there is data in the FMQ, so ExecutionBurstServer collects
- // systraces at different points in the code.
- NNTRACE_FULL(NNTRACE_LAYER_IPC, NNTRACE_PHASE_EXECUTION, "ExecutionBurstController::compute");
+ // Ensure that at most one execution is in flight at any given time.
+ const bool alreadyInFlight = mExecutionInFlight.test_and_set();
+ if (alreadyInFlight) {
+ return NN_ERROR() << "IBurst already has an execution in flight";
+ }
+ const auto guard = base::make_scope_guard([this] { mExecutionInFlight.clear(); });
- std::lock_guard<std::mutex> guard(mMutex);
+ std::vector<int32_t> slots;
+ std::vector<OptionalCacheHold> holds;
+ slots.reserve(request.pools.size());
+ holds.reserve(request.pools.size());
+ for (const auto& memoryPool : request.pools) {
+ auto [slot, hold] = mMemoryCache->cacheMemory(std::get<nn::SharedMemory>(memoryPool));
+ slots.push_back(slot);
+ holds.push_back(std::move(hold));
+ }
// send request packet
- const std::vector<int32_t> slots = mMemoryCache->getSlots(request.pools, memoryIds);
- const bool success = mRequestChannelSender->send(request, measure, slots);
- if (!success) {
- LOG(ERROR) << "Error sending FMQ packet";
- // only use fallback execution path if the packet could not be sent
- return getExecutionResult(V1_0::ErrorStatus::GENERAL_FAILURE, {}, kNoTiming12,
- /*fallback=*/true);
+ const auto sendStatus = mRequestChannelSender->send(hidlRequest, hidlMeasure, slots);
+ if (!sendStatus.ok()) {
+ // fallback to another execution path if the packet could not be sent
+ if (kFallback) {
+ return kFallback(request, measure);
+ }
+ return NN_ERROR() << "Error sending FMQ packet: " << sendStatus.error();
}
// get result packet
- const auto result = mResultChannelReceiver->getBlocking();
- if (!result) {
- LOG(ERROR) << "Error retrieving FMQ packet";
- // only use fallback execution path if the packet could not be sent
- return getExecutionResult(V1_0::ErrorStatus::GENERAL_FAILURE, {}, kNoTiming12,
- /*fallback=*/false);
- }
-
- // unpack results and return (only use fallback execution path if the
- // packet could not be sent)
- auto [status, outputShapes, timing] = std::move(*result);
- return getExecutionResult(status, std::move(outputShapes), timing, /*fallback=*/false);
+ const auto [status, outputShapes, timing] =
+ NN_TRY(hal::utils::makeExecutionFailure(mResultChannelReceiver->getBlocking()));
+ return executionCallback(status, outputShapes, timing);
}
-void ExecutionBurstController::freeMemory(intptr_t key) {
- std::lock_guard<std::mutex> guard(mMutex);
-
- bool valid;
- int32_t slot;
- std::tie(valid, slot) = mMemoryCache->freeMemory(key);
- if (valid) {
- mBurstContext->freeMemory(slot).isOk();
- }
-}
-
-} // namespace android::nn
+} // namespace android::hardware::neuralnetworks::V1_2::utils
diff --git a/neuralnetworks/1.2/utils/src/ExecutionBurstServer.cpp b/neuralnetworks/1.2/utils/src/ExecutionBurstServer.cpp
index 022548d..50af881 100644
--- a/neuralnetworks/1.2/utils/src/ExecutionBurstServer.cpp
+++ b/neuralnetworks/1.2/utils/src/ExecutionBurstServer.cpp
@@ -17,8 +17,19 @@
#define LOG_TAG "ExecutionBurstServer"
#include "ExecutionBurstServer.h"
+#include "Conversions.h"
+#include "ExecutionBurstUtils.h"
#include <android-base/logging.h>
+#include <nnapi/IBurst.h>
+#include <nnapi/Result.h>
+#include <nnapi/TypeUtils.h>
+#include <nnapi/Types.h>
+#include <nnapi/Validation.h>
+#include <nnapi/hal/1.0/Conversions.h>
+#include <nnapi/hal/HandleError.h>
+#include <nnapi/hal/ProtectCallback.h>
+#include <nnapi/hal/TransferValue.h>
#include <algorithm>
#include <cstring>
@@ -29,134 +40,146 @@
#include <utility>
#include <vector>
-#include "ExecutionBurstUtils.h"
-#include "HalInterfaces.h"
#include "Tracing.h"
-namespace android::nn {
+namespace android::hardware::neuralnetworks::V1_2::utils {
namespace {
-// DefaultBurstExecutorWithCache adapts an IPreparedModel so that it can be
-// used as an IBurstExecutorWithCache. Specifically, the cache simply stores the
-// hidl_memory object, and the execution forwards calls to the provided
-// IPreparedModel's "executeSynchronously" method. With this class, hidl_memory
-// must be mapped and unmapped for each execution.
-class DefaultBurstExecutorWithCache : public ExecutionBurstServer::IBurstExecutorWithCache {
- public:
- DefaultBurstExecutorWithCache(V1_2::IPreparedModel* preparedModel)
- : mpPreparedModel(preparedModel) {}
+using neuralnetworks::utils::makeExecutionFailure;
- bool isCacheEntryPresent(int32_t slot) const override {
- const auto it = mMemoryCache.find(slot);
- return (it != mMemoryCache.end()) && it->second.valid();
+constexpr V1_2::Timing kNoTiming = {std::numeric_limits<uint64_t>::max(),
+ std::numeric_limits<uint64_t>::max()};
+
+nn::GeneralResult<std::vector<nn::SharedMemory>> getMemoriesCallback(
+ V1_0::ErrorStatus status, const hidl_vec<hidl_memory>& memories) {
+ HANDLE_HAL_STATUS(status) << "getting burst memories failed with " << toString(status);
+ std::vector<nn::SharedMemory> canonicalMemories;
+ canonicalMemories.reserve(memories.size());
+ for (const auto& memory : memories) {
+ canonicalMemories.push_back(NN_TRY(nn::convert(memory)));
}
-
- void addCacheEntry(const hardware::hidl_memory& memory, int32_t slot) override {
- mMemoryCache[slot] = memory;
- }
-
- void removeCacheEntry(int32_t slot) override { mMemoryCache.erase(slot); }
-
- std::tuple<V1_0::ErrorStatus, hardware::hidl_vec<V1_2::OutputShape>, V1_2::Timing> execute(
- const V1_0::Request& request, const std::vector<int32_t>& slots,
- V1_2::MeasureTiming measure) override {
- // convert slots to pools
- hardware::hidl_vec<hardware::hidl_memory> pools(slots.size());
- std::transform(slots.begin(), slots.end(), pools.begin(),
- [this](int32_t slot) { return mMemoryCache[slot]; });
-
- // create full request
- V1_0::Request fullRequest = request;
- fullRequest.pools = std::move(pools);
-
- // setup execution
- V1_0::ErrorStatus returnedStatus = V1_0::ErrorStatus::GENERAL_FAILURE;
- hardware::hidl_vec<V1_2::OutputShape> returnedOutputShapes;
- V1_2::Timing returnedTiming;
- auto cb = [&returnedStatus, &returnedOutputShapes, &returnedTiming](
- V1_0::ErrorStatus status,
- const hardware::hidl_vec<V1_2::OutputShape>& outputShapes,
- const V1_2::Timing& timing) {
- returnedStatus = status;
- returnedOutputShapes = outputShapes;
- returnedTiming = timing;
- };
-
- // execute
- const hardware::Return<void> ret =
- mpPreparedModel->executeSynchronously(fullRequest, measure, cb);
- if (!ret.isOk() || returnedStatus != V1_0::ErrorStatus::NONE) {
- LOG(ERROR) << "IPreparedModelAdapter::execute -- Error executing";
- return {returnedStatus, std::move(returnedOutputShapes), kNoTiming};
- }
-
- return std::make_tuple(returnedStatus, std::move(returnedOutputShapes), returnedTiming);
- }
-
- private:
- V1_2::IPreparedModel* const mpPreparedModel;
- std::map<int32_t, hardware::hidl_memory> mMemoryCache;
-};
+ return canonicalMemories;
+}
} // anonymous namespace
+ExecutionBurstServer::MemoryCache::MemoryCache(nn::SharedBurst burstExecutor,
+ sp<IBurstCallback> burstCallback)
+ : kBurstExecutor(std::move(burstExecutor)), kBurstCallback(std::move(burstCallback)) {
+ CHECK(kBurstExecutor != nullptr);
+ CHECK(kBurstCallback != nullptr);
+}
+
+nn::GeneralResult<std::vector<std::pair<nn::SharedMemory, nn::IBurst::OptionalCacheHold>>>
+ExecutionBurstServer::MemoryCache::getCacheEntries(const std::vector<int32_t>& slots) {
+ std::lock_guard guard(mMutex);
+ NN_TRY(ensureCacheEntriesArePresentLocked(slots));
+
+ std::vector<std::pair<nn::SharedMemory, nn::IBurst::OptionalCacheHold>> results;
+ results.reserve(slots.size());
+ for (int32_t slot : slots) {
+ results.push_back(NN_TRY(getCacheEntryLocked(slot)));
+ }
+
+ return results;
+}
+
+nn::GeneralResult<void> ExecutionBurstServer::MemoryCache::ensureCacheEntriesArePresentLocked(
+ const std::vector<int32_t>& slots) {
+ const auto slotIsKnown = [this](int32_t slot)
+ REQUIRES(mMutex) { return mCache.count(slot) > 0; };
+
+ // find unique unknown slots
+ std::vector<int32_t> unknownSlots = slots;
+ std::sort(unknownSlots.begin(), unknownSlots.end());
+ auto unknownSlotsEnd = std::unique(unknownSlots.begin(), unknownSlots.end());
+ unknownSlotsEnd = std::remove_if(unknownSlots.begin(), unknownSlotsEnd, slotIsKnown);
+ unknownSlots.erase(unknownSlotsEnd, unknownSlots.end());
+
+ // quick-exit if all slots are known
+ if (unknownSlots.empty()) {
+ return {};
+ }
+
+ auto cb = neuralnetworks::utils::CallbackValue(getMemoriesCallback);
+
+ const auto ret = kBurstCallback->getMemories(unknownSlots, cb);
+ HANDLE_TRANSPORT_FAILURE(ret);
+
+ auto returnedMemories = NN_TRY(cb.take());
+
+ if (returnedMemories.size() != unknownSlots.size()) {
+ return NN_ERROR()
+ << "ExecutionBurstServer::MemoryCache::ensureCacheEntriesArePresentLocked: Error "
+ "retrieving memories -- count mismatch between requested memories ("
+ << unknownSlots.size() << ") and returned memories (" << returnedMemories.size()
+ << ")";
+ }
+
+ // add memories to unknown slots
+ for (size_t i = 0; i < unknownSlots.size(); ++i) {
+ addCacheEntryLocked(unknownSlots[i], std::move(returnedMemories[i]));
+ }
+
+ return {};
+}
+
+nn::GeneralResult<std::pair<nn::SharedMemory, nn::IBurst::OptionalCacheHold>>
+ExecutionBurstServer::MemoryCache::getCacheEntryLocked(int32_t slot) {
+ if (const auto iter = mCache.find(slot); iter != mCache.end()) {
+ return iter->second;
+ }
+ return NN_ERROR()
+ << "ExecutionBurstServer::MemoryCache::getCacheEntryLocked failed because slot " << slot
+ << " is not present in the cache";
+}
+
+void ExecutionBurstServer::MemoryCache::addCacheEntryLocked(int32_t slot, nn::SharedMemory memory) {
+ auto hold = kBurstExecutor->cacheMemory(memory);
+ mCache.emplace(slot, std::make_pair(std::move(memory), std::move(hold)));
+}
+
+void ExecutionBurstServer::MemoryCache::removeCacheEntry(int32_t slot) {
+ std::lock_guard guard(mMutex);
+ mCache.erase(slot);
+}
+
// ExecutionBurstServer methods
-sp<ExecutionBurstServer> ExecutionBurstServer::create(
+nn::GeneralResult<sp<ExecutionBurstServer>> ExecutionBurstServer::create(
const sp<IBurstCallback>& callback, const MQDescriptorSync<FmqRequestDatum>& requestChannel,
- const MQDescriptorSync<FmqResultDatum>& resultChannel,
- std::shared_ptr<IBurstExecutorWithCache> executorWithCache,
+ const MQDescriptorSync<FmqResultDatum>& resultChannel, nn::SharedBurst burstExecutor,
std::chrono::microseconds pollingTimeWindow) {
// check inputs
- if (callback == nullptr || executorWithCache == nullptr) {
- LOG(ERROR) << "ExecutionBurstServer::create passed a nullptr";
- return nullptr;
+ if (callback == nullptr || burstExecutor == nullptr) {
+ return NN_ERROR() << "ExecutionBurstServer::create passed a nullptr";
}
// create FMQ objects
- std::unique_ptr<RequestChannelReceiver> requestChannelReceiver =
- RequestChannelReceiver::create(requestChannel, pollingTimeWindow);
- std::unique_ptr<ResultChannelSender> resultChannelSender =
- ResultChannelSender::create(resultChannel);
+ auto requestChannelReceiver =
+ NN_TRY(RequestChannelReceiver::create(requestChannel, pollingTimeWindow));
+ auto resultChannelSender = NN_TRY(ResultChannelSender::create(resultChannel));
// check FMQ objects
- if (!requestChannelReceiver || !resultChannelSender) {
- LOG(ERROR) << "ExecutionBurstServer::create failed to create FastMessageQueue";
- return nullptr;
- }
+ CHECK(requestChannelReceiver != nullptr);
+ CHECK(resultChannelSender != nullptr);
// make and return context
- return new ExecutionBurstServer(callback, std::move(requestChannelReceiver),
- std::move(resultChannelSender), std::move(executorWithCache));
+ return sp<ExecutionBurstServer>::make(PrivateConstructorTag{}, callback,
+ std::move(requestChannelReceiver),
+ std::move(resultChannelSender), std::move(burstExecutor));
}
-sp<ExecutionBurstServer> ExecutionBurstServer::create(
- const sp<IBurstCallback>& callback, const MQDescriptorSync<FmqRequestDatum>& requestChannel,
- const MQDescriptorSync<FmqResultDatum>& resultChannel, V1_2::IPreparedModel* preparedModel,
- std::chrono::microseconds pollingTimeWindow) {
- // check relevant input
- if (preparedModel == nullptr) {
- LOG(ERROR) << "ExecutionBurstServer::create passed a nullptr";
- return nullptr;
- }
-
- // adapt IPreparedModel to have caching
- const std::shared_ptr<DefaultBurstExecutorWithCache> preparedModelAdapter =
- std::make_shared<DefaultBurstExecutorWithCache>(preparedModel);
-
- // make and return context
- return ExecutionBurstServer::create(callback, requestChannel, resultChannel,
- preparedModelAdapter, pollingTimeWindow);
-}
-
-ExecutionBurstServer::ExecutionBurstServer(
- const sp<IBurstCallback>& callback, std::unique_ptr<RequestChannelReceiver> requestChannel,
- std::unique_ptr<ResultChannelSender> resultChannel,
- std::shared_ptr<IBurstExecutorWithCache> executorWithCache)
+ExecutionBurstServer::ExecutionBurstServer(PrivateConstructorTag /*tag*/,
+ const sp<IBurstCallback>& callback,
+ std::unique_ptr<RequestChannelReceiver> requestChannel,
+ std::unique_ptr<ResultChannelSender> resultChannel,
+ nn::SharedBurst burstExecutor)
: mCallback(callback),
mRequestChannelReceiver(std::move(requestChannel)),
mResultChannelSender(std::move(resultChannel)),
- mExecutorWithCache(std::move(executorWithCache)) {
+ mBurstExecutor(std::move(burstExecutor)),
+ mMemoryCache(mBurstExecutor, mCallback) {
// TODO: highly document the threading behavior of this class
mWorker = std::thread([this] { task(); });
}
@@ -170,51 +193,9 @@
mWorker.join();
}
-hardware::Return<void> ExecutionBurstServer::freeMemory(int32_t slot) {
- std::lock_guard<std::mutex> hold(mMutex);
- mExecutorWithCache->removeCacheEntry(slot);
- return hardware::Void();
-}
-
-void ExecutionBurstServer::ensureCacheEntriesArePresentLocked(const std::vector<int32_t>& slots) {
- const auto slotIsKnown = [this](int32_t slot) {
- return mExecutorWithCache->isCacheEntryPresent(slot);
- };
-
- // find unique unknown slots
- std::vector<int32_t> unknownSlots = slots;
- auto unknownSlotsEnd = unknownSlots.end();
- std::sort(unknownSlots.begin(), unknownSlotsEnd);
- unknownSlotsEnd = std::unique(unknownSlots.begin(), unknownSlotsEnd);
- unknownSlotsEnd = std::remove_if(unknownSlots.begin(), unknownSlotsEnd, slotIsKnown);
- unknownSlots.erase(unknownSlotsEnd, unknownSlots.end());
-
- // quick-exit if all slots are known
- if (unknownSlots.empty()) {
- return;
- }
-
- V1_0::ErrorStatus errorStatus = V1_0::ErrorStatus::GENERAL_FAILURE;
- std::vector<hardware::hidl_memory> returnedMemories;
- auto cb = [&errorStatus, &returnedMemories](
- V1_0::ErrorStatus status,
- const hardware::hidl_vec<hardware::hidl_memory>& memories) {
- errorStatus = status;
- returnedMemories = memories;
- };
-
- const hardware::Return<void> ret = mCallback->getMemories(unknownSlots, cb);
-
- if (!ret.isOk() || errorStatus != V1_0::ErrorStatus::NONE ||
- returnedMemories.size() != unknownSlots.size()) {
- LOG(ERROR) << "Error retrieving memories";
- return;
- }
-
- // add memories to unknown slots
- for (size_t i = 0; i < unknownSlots.size(); ++i) {
- mExecutorWithCache->addCacheEntry(returnedMemories[i], unknownSlots[i]);
- }
+Return<void> ExecutionBurstServer::freeMemory(int32_t slot) {
+ mMemoryCache.removeCacheEntry(slot);
+ return Void();
}
void ExecutionBurstServer::task() {
@@ -223,38 +204,65 @@
// receive request
auto arguments = mRequestChannelReceiver->getBlocking();
- // if the request packet was not properly received, return a generic
- // error and skip the execution
+ // if the request packet was not properly received, return a generic error and skip the
+ // execution
//
- // if the burst is being torn down, skip the execution so the "task"
- // function can end
- if (!arguments) {
+ // if the burst is being torn down, skip the execution so the "task" function can end
+ if (!arguments.has_value()) {
if (!mTeardown) {
mResultChannelSender->send(V1_0::ErrorStatus::GENERAL_FAILURE, {}, kNoTiming);
}
continue;
}
- // otherwise begin tracing execution
- NNTRACE_FULL(NNTRACE_LAYER_IPC, NNTRACE_PHASE_EXECUTION,
- "ExecutionBurstServer getting memory, executing, and returning results");
+ // unpack the arguments; types are Request, std::vector<int32_t>, and MeasureTiming,
+ // respectively
+ const auto [requestWithoutPools, slotsOfPools, measure] = std::move(arguments).value();
- // unpack the arguments; types are Request, std::vector<int32_t>, and
- // MeasureTiming, respectively
- const auto [requestWithoutPools, slotsOfPools, measure] = std::move(*arguments);
-
- // ensure executor with cache has required memory
- std::lock_guard<std::mutex> hold(mMutex);
- ensureCacheEntriesArePresentLocked(slotsOfPools);
-
- // perform computation; types are ErrorStatus, hidl_vec<OutputShape>,
- // and Timing, respectively
- const auto [errorStatus, outputShapes, returnedTiming] =
- mExecutorWithCache->execute(requestWithoutPools, slotsOfPools, measure);
+ auto result = execute(requestWithoutPools, slotsOfPools, measure);
// return result
- mResultChannelSender->send(errorStatus, outputShapes, returnedTiming);
+ if (result.has_value()) {
+ const auto& [outputShapes, timing] = result.value();
+ mResultChannelSender->send(V1_0::ErrorStatus::NONE, outputShapes, timing);
+ } else {
+ const auto& [message, code, outputShapes] = result.error();
+ LOG(ERROR) << "IBurst::execute failed with " << code << ": " << message;
+ mResultChannelSender->send(convert(code).value(), convert(outputShapes).value(),
+ kNoTiming);
+ }
}
}
-} // namespace android::nn
+nn::ExecutionResult<std::pair<hidl_vec<OutputShape>, Timing>> ExecutionBurstServer::execute(
+ const V1_0::Request& requestWithoutPools, const std::vector<int32_t>& slotsOfPools,
+ MeasureTiming measure) {
+ NNTRACE_FULL(NNTRACE_LAYER_IPC, NNTRACE_PHASE_EXECUTION,
+ "ExecutionBurstServer getting memory, executing, and returning results");
+
+ // ensure executor with cache has required memory
+ const auto cacheEntries =
+ NN_TRY(makeExecutionFailure(mMemoryCache.getCacheEntries(slotsOfPools)));
+
+ // convert request, populating its pools
+ // This code performs an unvalidated convert because the request object without its pools is
+ // invalid because it is incomplete. Instead, the validation is performed after the memory pools
+ // have been added to the request.
+ auto canonicalRequest =
+ NN_TRY(makeExecutionFailure(nn::unvalidatedConvert(requestWithoutPools)));
+ CHECK(canonicalRequest.pools.empty());
+ std::transform(cacheEntries.begin(), cacheEntries.end(),
+ std::back_inserter(canonicalRequest.pools),
+ [](const auto& cacheEntry) { return cacheEntry.first; });
+ NN_TRY(makeExecutionFailure(validate(canonicalRequest)));
+
+ nn::MeasureTiming canonicalMeasure = NN_TRY(makeExecutionFailure(nn::convert(measure)));
+
+ const auto [outputShapes, timing] =
+ NN_TRY(mBurstExecutor->execute(canonicalRequest, canonicalMeasure));
+
+ return std::make_pair(NN_TRY(makeExecutionFailure(convert(outputShapes))),
+ NN_TRY(makeExecutionFailure(convert(timing))));
+}
+
+} // namespace android::hardware::neuralnetworks::V1_2::utils
diff --git a/neuralnetworks/1.2/utils/src/ExecutionBurstUtils.cpp b/neuralnetworks/1.2/utils/src/ExecutionBurstUtils.cpp
index f0275f9..ca3a52c 100644
--- a/neuralnetworks/1.2/utils/src/ExecutionBurstUtils.cpp
+++ b/neuralnetworks/1.2/utils/src/ExecutionBurstUtils.cpp
@@ -19,11 +19,15 @@
#include "ExecutionBurstUtils.h"
#include <android-base/logging.h>
+#include <android-base/properties.h>
#include <android/hardware/neuralnetworks/1.0/types.h>
#include <android/hardware/neuralnetworks/1.1/types.h>
#include <android/hardware/neuralnetworks/1.2/types.h>
#include <fmq/MessageQueue.h>
#include <hidl/MQDescriptor.h>
+#include <nnapi/Result.h>
+#include <nnapi/Types.h>
+#include <nnapi/hal/ProtectCallback.h>
#include <atomic>
#include <chrono>
@@ -39,84 +43,97 @@
constexpr V1_2::Timing kNoTiming = {std::numeric_limits<uint64_t>::max(),
std::numeric_limits<uint64_t>::max()};
+std::chrono::microseconds getPollingTimeWindow(const std::string& property) {
+ constexpr int32_t kDefaultPollingTimeWindow = 0;
+#ifdef NN_DEBUGGABLE
+ constexpr int32_t kMinPollingTimeWindow = 0;
+ const int32_t selectedPollingTimeWindow =
+ base::GetIntProperty(property, kDefaultPollingTimeWindow, kMinPollingTimeWindow);
+ return std::chrono::microseconds(selectedPollingTimeWindow);
+#else
+ (void)property;
+ return std::chrono::microseconds(kDefaultPollingTimeWindow);
+#endif // NN_DEBUGGABLE
+}
+
+} // namespace
+
+std::chrono::microseconds getBurstControllerPollingTimeWindow() {
+ return getPollingTimeWindow("debug.nn.burst-controller-polling-window");
+}
+
+std::chrono::microseconds getBurstServerPollingTimeWindow() {
+ return getPollingTimeWindow("debug.nn.burst-server-polling-window");
}
// serialize a request into a packet
std::vector<FmqRequestDatum> serialize(const V1_0::Request& request, V1_2::MeasureTiming measure,
const std::vector<int32_t>& slots) {
// count how many elements need to be sent for a request
- size_t count = 2 + request.inputs.size() + request.outputs.size() + request.pools.size();
+ size_t count = 2 + request.inputs.size() + request.outputs.size() + slots.size();
for (const auto& input : request.inputs) {
count += input.dimensions.size();
}
for (const auto& output : request.outputs) {
count += output.dimensions.size();
}
+ CHECK_LE(count, std::numeric_limits<uint32_t>::max());
// create buffer to temporarily store elements
std::vector<FmqRequestDatum> data;
data.reserve(count);
// package packetInfo
- {
- FmqRequestDatum datum;
- datum.packetInformation(
- {/*.packetSize=*/static_cast<uint32_t>(count),
- /*.numberOfInputOperands=*/static_cast<uint32_t>(request.inputs.size()),
- /*.numberOfOutputOperands=*/static_cast<uint32_t>(request.outputs.size()),
- /*.numberOfPools=*/static_cast<uint32_t>(request.pools.size())});
- data.push_back(datum);
- }
+ data.emplace_back();
+ data.back().packetInformation(
+ {.packetSize = static_cast<uint32_t>(count),
+ .numberOfInputOperands = static_cast<uint32_t>(request.inputs.size()),
+ .numberOfOutputOperands = static_cast<uint32_t>(request.outputs.size()),
+ .numberOfPools = static_cast<uint32_t>(slots.size())});
// package input data
for (const auto& input : request.inputs) {
// package operand information
- FmqRequestDatum datum;
- datum.inputOperandInformation(
- {/*.hasNoValue=*/input.hasNoValue,
- /*.location=*/input.location,
- /*.numberOfDimensions=*/static_cast<uint32_t>(input.dimensions.size())});
- data.push_back(datum);
+ data.emplace_back();
+ data.back().inputOperandInformation(
+ {.hasNoValue = input.hasNoValue,
+ .location = input.location,
+ .numberOfDimensions = static_cast<uint32_t>(input.dimensions.size())});
// package operand dimensions
for (uint32_t dimension : input.dimensions) {
- FmqRequestDatum datum;
- datum.inputOperandDimensionValue(dimension);
- data.push_back(datum);
+ data.emplace_back();
+ data.back().inputOperandDimensionValue(dimension);
}
}
// package output data
for (const auto& output : request.outputs) {
// package operand information
- FmqRequestDatum datum;
- datum.outputOperandInformation(
- {/*.hasNoValue=*/output.hasNoValue,
- /*.location=*/output.location,
- /*.numberOfDimensions=*/static_cast<uint32_t>(output.dimensions.size())});
- data.push_back(datum);
+ data.emplace_back();
+ data.back().outputOperandInformation(
+ {.hasNoValue = output.hasNoValue,
+ .location = output.location,
+ .numberOfDimensions = static_cast<uint32_t>(output.dimensions.size())});
// package operand dimensions
for (uint32_t dimension : output.dimensions) {
- FmqRequestDatum datum;
- datum.outputOperandDimensionValue(dimension);
- data.push_back(datum);
+ data.emplace_back();
+ data.back().outputOperandDimensionValue(dimension);
}
}
// package pool identifier
for (int32_t slot : slots) {
- FmqRequestDatum datum;
- datum.poolIdentifier(slot);
- data.push_back(datum);
+ data.emplace_back();
+ data.back().poolIdentifier(slot);
}
// package measureTiming
- {
- FmqRequestDatum datum;
- datum.measureTiming(measure);
- data.push_back(datum);
- }
+ data.emplace_back();
+ data.back().measureTiming(measure);
+
+ CHECK_EQ(data.size(), count);
// return packet
return data;
@@ -137,46 +154,38 @@
data.reserve(count);
// package packetInfo
- {
- FmqResultDatum datum;
- datum.packetInformation({/*.packetSize=*/static_cast<uint32_t>(count),
- /*.errorStatus=*/errorStatus,
- /*.numberOfOperands=*/static_cast<uint32_t>(outputShapes.size())});
- data.push_back(datum);
- }
+ data.emplace_back();
+ data.back().packetInformation({.packetSize = static_cast<uint32_t>(count),
+ .errorStatus = errorStatus,
+ .numberOfOperands = static_cast<uint32_t>(outputShapes.size())});
// package output shape data
for (const auto& operand : outputShapes) {
// package operand information
- FmqResultDatum::OperandInformation info{};
- info.isSufficient = operand.isSufficient;
- info.numberOfDimensions = static_cast<uint32_t>(operand.dimensions.size());
-
- FmqResultDatum datum;
- datum.operandInformation(info);
- data.push_back(datum);
+ data.emplace_back();
+ data.back().operandInformation(
+ {.isSufficient = operand.isSufficient,
+ .numberOfDimensions = static_cast<uint32_t>(operand.dimensions.size())});
// package operand dimensions
for (uint32_t dimension : operand.dimensions) {
- FmqResultDatum datum;
- datum.operandDimensionValue(dimension);
- data.push_back(datum);
+ data.emplace_back();
+ data.back().operandDimensionValue(dimension);
}
}
// package executionTiming
- {
- FmqResultDatum datum;
- datum.executionTiming(timing);
- data.push_back(datum);
- }
+ data.emplace_back();
+ data.back().executionTiming(timing);
+
+ CHECK_EQ(data.size(), count);
// return result
return data;
}
// deserialize request
-std::optional<std::tuple<V1_0::Request, std::vector<int32_t>, V1_2::MeasureTiming>> deserialize(
+nn::Result<std::tuple<V1_0::Request, std::vector<int32_t>, V1_2::MeasureTiming>> deserialize(
const std::vector<FmqRequestDatum>& data) {
using discriminator = FmqRequestDatum::hidl_discriminator;
@@ -184,8 +193,7 @@
// validate packet information
if (data.size() == 0 || data[index].getDiscriminator() != discriminator::packetInformation) {
- LOG(ERROR) << "FMQ Request packet ill-formed";
- return std::nullopt;
+ return NN_ERROR() << "FMQ Request packet ill-formed";
}
// unpackage packet information
@@ -198,8 +206,7 @@
// verify packet size
if (data.size() != packetSize) {
- LOG(ERROR) << "FMQ Request packet ill-formed";
- return std::nullopt;
+ return NN_ERROR() << "FMQ Request packet ill-formed";
}
// unpackage input operands
@@ -208,8 +215,7 @@
for (size_t operand = 0; operand < numberOfInputOperands; ++operand) {
// validate input operand information
if (data[index].getDiscriminator() != discriminator::inputOperandInformation) {
- LOG(ERROR) << "FMQ Request packet ill-formed";
- return std::nullopt;
+ return NN_ERROR() << "FMQ Request packet ill-formed";
}
// unpackage operand information
@@ -226,8 +232,7 @@
for (size_t i = 0; i < numberOfDimensions; ++i) {
// validate dimension
if (data[index].getDiscriminator() != discriminator::inputOperandDimensionValue) {
- LOG(ERROR) << "FMQ Request packet ill-formed";
- return std::nullopt;
+ return NN_ERROR() << "FMQ Request packet ill-formed";
}
// unpackage dimension
@@ -240,7 +245,7 @@
// store result
inputs.push_back(
- {/*.hasNoValue=*/hasNoValue, /*.location=*/location, /*.dimensions=*/dimensions});
+ {.hasNoValue = hasNoValue, .location = location, .dimensions = dimensions});
}
// unpackage output operands
@@ -249,8 +254,7 @@
for (size_t operand = 0; operand < numberOfOutputOperands; ++operand) {
// validate output operand information
if (data[index].getDiscriminator() != discriminator::outputOperandInformation) {
- LOG(ERROR) << "FMQ Request packet ill-formed";
- return std::nullopt;
+ return NN_ERROR() << "FMQ Request packet ill-formed";
}
// unpackage operand information
@@ -267,8 +271,7 @@
for (size_t i = 0; i < numberOfDimensions; ++i) {
// validate dimension
if (data[index].getDiscriminator() != discriminator::outputOperandDimensionValue) {
- LOG(ERROR) << "FMQ Request packet ill-formed";
- return std::nullopt;
+ return NN_ERROR() << "FMQ Request packet ill-formed";
}
// unpackage dimension
@@ -281,7 +284,7 @@
// store result
outputs.push_back(
- {/*.hasNoValue=*/hasNoValue, /*.location=*/location, /*.dimensions=*/dimensions});
+ {.hasNoValue = hasNoValue, .location = location, .dimensions = dimensions});
}
// unpackage pools
@@ -290,8 +293,7 @@
for (size_t pool = 0; pool < numberOfPools; ++pool) {
// validate input operand information
if (data[index].getDiscriminator() != discriminator::poolIdentifier) {
- LOG(ERROR) << "FMQ Request packet ill-formed";
- return std::nullopt;
+ return NN_ERROR() << "FMQ Request packet ill-formed";
}
// unpackage operand information
@@ -304,8 +306,7 @@
// validate measureTiming
if (data[index].getDiscriminator() != discriminator::measureTiming) {
- LOG(ERROR) << "FMQ Request packet ill-formed";
- return std::nullopt;
+ return NN_ERROR() << "FMQ Request packet ill-formed";
}
// unpackage measureTiming
@@ -314,27 +315,23 @@
// validate packet information
if (index != packetSize) {
- LOG(ERROR) << "FMQ Result packet ill-formed";
- return std::nullopt;
+ return NN_ERROR() << "FMQ Result packet ill-formed";
}
// return request
- V1_0::Request request = {/*.inputs=*/inputs, /*.outputs=*/outputs, /*.pools=*/{}};
+ V1_0::Request request = {.inputs = inputs, .outputs = outputs, .pools = {}};
return std::make_tuple(std::move(request), std::move(slots), measure);
}
// deserialize a packet into the result
-std::optional<std::tuple<V1_0::ErrorStatus, std::vector<V1_2::OutputShape>, V1_2::Timing>>
-deserialize(const std::vector<FmqResultDatum>& data) {
+nn::Result<std::tuple<V1_0::ErrorStatus, std::vector<V1_2::OutputShape>, V1_2::Timing>> deserialize(
+ const std::vector<FmqResultDatum>& data) {
using discriminator = FmqResultDatum::hidl_discriminator;
-
- std::vector<V1_2::OutputShape> outputShapes;
size_t index = 0;
// validate packet information
if (data.size() == 0 || data[index].getDiscriminator() != discriminator::packetInformation) {
- LOG(ERROR) << "FMQ Result packet ill-formed";
- return std::nullopt;
+ return NN_ERROR() << "FMQ Result packet ill-formed";
}
// unpackage packet information
@@ -346,16 +343,16 @@
// verify packet size
if (data.size() != packetSize) {
- LOG(ERROR) << "FMQ Result packet ill-formed";
- return std::nullopt;
+ return NN_ERROR() << "FMQ Result packet ill-formed";
}
// unpackage operands
+ std::vector<V1_2::OutputShape> outputShapes;
+ outputShapes.reserve(numberOfOperands);
for (size_t operand = 0; operand < numberOfOperands; ++operand) {
// validate operand information
if (data[index].getDiscriminator() != discriminator::operandInformation) {
- LOG(ERROR) << "FMQ Result packet ill-formed";
- return std::nullopt;
+ return NN_ERROR() << "FMQ Result packet ill-formed";
}
// unpackage operand information
@@ -370,8 +367,7 @@
for (size_t i = 0; i < numberOfDimensions; ++i) {
// validate dimension
if (data[index].getDiscriminator() != discriminator::operandDimensionValue) {
- LOG(ERROR) << "FMQ Result packet ill-formed";
- return std::nullopt;
+ return NN_ERROR() << "FMQ Result packet ill-formed";
}
// unpackage dimension
@@ -383,13 +379,12 @@
}
// store result
- outputShapes.push_back({/*.dimensions=*/dimensions, /*.isSufficient=*/isSufficient});
+ outputShapes.push_back({.dimensions = dimensions, .isSufficient = isSufficient});
}
// validate execution timing
if (data[index].getDiscriminator() != discriminator::executionTiming) {
- LOG(ERROR) << "FMQ Result packet ill-formed";
- return std::nullopt;
+ return NN_ERROR() << "FMQ Result packet ill-formed";
}
// unpackage execution timing
@@ -398,123 +393,113 @@
// validate packet information
if (index != packetSize) {
- LOG(ERROR) << "FMQ Result packet ill-formed";
- return std::nullopt;
+ return NN_ERROR() << "FMQ Result packet ill-formed";
}
// return result
return std::make_tuple(errorStatus, std::move(outputShapes), timing);
}
-V1_0::ErrorStatus legacyConvertResultCodeToErrorStatus(int resultCode) {
- return convertToV1_0(convertResultCodeToErrorStatus(resultCode));
-}
-
// RequestChannelSender methods
-std::pair<std::unique_ptr<RequestChannelSender>, const FmqRequestDescriptor*>
+nn::GeneralResult<
+ std::pair<std::unique_ptr<RequestChannelSender>, const MQDescriptorSync<FmqRequestDatum>*>>
RequestChannelSender::create(size_t channelLength) {
- std::unique_ptr<FmqRequestChannel> fmqRequestChannel =
- std::make_unique<FmqRequestChannel>(channelLength, /*confEventFlag=*/true);
- if (!fmqRequestChannel->isValid()) {
- LOG(ERROR) << "Unable to create RequestChannelSender";
- return {nullptr, nullptr};
+ auto requestChannelSender =
+ std::make_unique<RequestChannelSender>(PrivateConstructorTag{}, channelLength);
+ if (!requestChannelSender->mFmqRequestChannel.isValid()) {
+ return NN_ERROR() << "Unable to create RequestChannelSender";
}
- const FmqRequestDescriptor* descriptor = fmqRequestChannel->getDesc();
- return std::make_pair(std::make_unique<RequestChannelSender>(std::move(fmqRequestChannel)),
- descriptor);
+ const MQDescriptorSync<FmqRequestDatum>* descriptor =
+ requestChannelSender->mFmqRequestChannel.getDesc();
+ return std::make_pair(std::move(requestChannelSender), descriptor);
}
-RequestChannelSender::RequestChannelSender(std::unique_ptr<FmqRequestChannel> fmqRequestChannel)
- : mFmqRequestChannel(std::move(fmqRequestChannel)) {}
+RequestChannelSender::RequestChannelSender(PrivateConstructorTag /*tag*/, size_t channelLength)
+ : mFmqRequestChannel(channelLength, /*configureEventFlagWord=*/true) {}
-bool RequestChannelSender::send(const V1_0::Request& request, V1_2::MeasureTiming measure,
- const std::vector<int32_t>& slots) {
+nn::Result<void> RequestChannelSender::send(const V1_0::Request& request,
+ V1_2::MeasureTiming measure,
+ const std::vector<int32_t>& slots) {
const std::vector<FmqRequestDatum> serialized = serialize(request, measure, slots);
return sendPacket(serialized);
}
-bool RequestChannelSender::sendPacket(const std::vector<FmqRequestDatum>& packet) {
+nn::Result<void> RequestChannelSender::sendPacket(const std::vector<FmqRequestDatum>& packet) {
if (!mValid) {
- return false;
+ return NN_ERROR() << "FMQ object is invalid";
}
- if (packet.size() > mFmqRequestChannel->availableToWrite()) {
- LOG(ERROR)
- << "RequestChannelSender::sendPacket -- packet size exceeds size available in FMQ";
- return false;
+ if (packet.size() > mFmqRequestChannel.availableToWrite()) {
+ return NN_ERROR()
+ << "RequestChannelSender::sendPacket -- packet size exceeds size available in FMQ";
}
- // Always send the packet with "blocking" because this signals the futex and
- // unblocks the consumer if it is waiting on the futex.
- return mFmqRequestChannel->writeBlocking(packet.data(), packet.size());
+ // Always send the packet with "blocking" because this signals the futex and unblocks the
+ // consumer if it is waiting on the futex.
+ const bool success = mFmqRequestChannel.writeBlocking(packet.data(), packet.size());
+ if (!success) {
+ return NN_ERROR()
+ << "RequestChannelSender::sendPacket -- FMQ's writeBlocking returned an error";
+ }
+
+ return {};
}
-void RequestChannelSender::invalidate() {
+void RequestChannelSender::notifyAsDeadObject() {
mValid = false;
}
// RequestChannelReceiver methods
-std::unique_ptr<RequestChannelReceiver> RequestChannelReceiver::create(
- const FmqRequestDescriptor& requestChannel, std::chrono::microseconds pollingTimeWindow) {
- std::unique_ptr<FmqRequestChannel> fmqRequestChannel =
- std::make_unique<FmqRequestChannel>(requestChannel);
+nn::GeneralResult<std::unique_ptr<RequestChannelReceiver>> RequestChannelReceiver::create(
+ const MQDescriptorSync<FmqRequestDatum>& requestChannel,
+ std::chrono::microseconds pollingTimeWindow) {
+ auto requestChannelReceiver = std::make_unique<RequestChannelReceiver>(
+ PrivateConstructorTag{}, requestChannel, pollingTimeWindow);
- if (!fmqRequestChannel->isValid()) {
- LOG(ERROR) << "Unable to create RequestChannelReceiver";
- return nullptr;
+ if (!requestChannelReceiver->mFmqRequestChannel.isValid()) {
+ return NN_ERROR() << "Unable to create RequestChannelReceiver";
}
- if (fmqRequestChannel->getEventFlagWord() == nullptr) {
- LOG(ERROR)
- << "RequestChannelReceiver::create was passed an MQDescriptor without an EventFlag";
- return nullptr;
+ if (requestChannelReceiver->mFmqRequestChannel.getEventFlagWord() == nullptr) {
+ return NN_ERROR()
+ << "RequestChannelReceiver::create was passed an MQDescriptor without an EventFlag";
}
- return std::make_unique<RequestChannelReceiver>(std::move(fmqRequestChannel),
- pollingTimeWindow);
+ return requestChannelReceiver;
}
-RequestChannelReceiver::RequestChannelReceiver(std::unique_ptr<FmqRequestChannel> fmqRequestChannel,
- std::chrono::microseconds pollingTimeWindow)
- : mFmqRequestChannel(std::move(fmqRequestChannel)), kPollingTimeWindow(pollingTimeWindow) {}
+RequestChannelReceiver::RequestChannelReceiver(
+ PrivateConstructorTag /*tag*/, const MQDescriptorSync<FmqRequestDatum>& requestChannel,
+ std::chrono::microseconds pollingTimeWindow)
+ : mFmqRequestChannel(requestChannel), kPollingTimeWindow(pollingTimeWindow) {}
-std::optional<std::tuple<V1_0::Request, std::vector<int32_t>, V1_2::MeasureTiming>>
+nn::Result<std::tuple<V1_0::Request, std::vector<int32_t>, V1_2::MeasureTiming>>
RequestChannelReceiver::getBlocking() {
- const auto packet = getPacketBlocking();
- if (!packet) {
- return std::nullopt;
- }
-
- return deserialize(*packet);
+ const auto packet = NN_TRY(getPacketBlocking());
+ return deserialize(packet);
}
void RequestChannelReceiver::invalidate() {
mTeardown = true;
// force unblock
- // ExecutionBurstServer is by default waiting on a request packet. If the
- // client process destroys its burst object, the server may still be waiting
- // on the futex. This force unblock wakes up any thread waiting on the
- // futex.
- // TODO: look for a different/better way to signal/notify the futex to wake
- // up any thread waiting on it
- FmqRequestDatum datum;
- datum.packetInformation({/*.packetSize=*/0, /*.numberOfInputOperands=*/0,
- /*.numberOfOutputOperands=*/0, /*.numberOfPools=*/0});
- mFmqRequestChannel->writeBlocking(&datum, 1);
+ // ExecutionBurstServer is by default waiting on a request packet. If the client process
+ // destroys its burst object, the server may still be waiting on the futex. This force unblock
+ // wakes up any thread waiting on the futex.
+ const auto data = serialize(V1_0::Request{}, V1_2::MeasureTiming::NO, {});
+ mFmqRequestChannel.writeBlocking(data.data(), data.size());
}
-std::optional<std::vector<FmqRequestDatum>> RequestChannelReceiver::getPacketBlocking() {
+nn::Result<std::vector<FmqRequestDatum>> RequestChannelReceiver::getPacketBlocking() {
if (mTeardown) {
- return std::nullopt;
+ return NN_ERROR() << "FMQ object is being torn down";
}
- // First spend time polling if results are available in FMQ instead of
- // waiting on the futex. Polling is more responsive (yielding lower
- // latencies), but can take up more power, so only poll for a limited period
- // of time.
+ // First spend time polling if results are available in FMQ instead of waiting on the futex.
+ // Polling is more responsive (yielding lower latencies), but can take up more power, so only
+ // poll for a limited period of time.
auto& getCurrentTime = std::chrono::high_resolution_clock::now;
const auto timeToStopPolling = getCurrentTime() + kPollingTimeWindow;
@@ -522,173 +507,144 @@
while (getCurrentTime() < timeToStopPolling) {
// if class is being torn down, immediately return
if (mTeardown.load(std::memory_order_relaxed)) {
- return std::nullopt;
+ return NN_ERROR() << "FMQ object is being torn down";
}
- // Check if data is available. If it is, immediately retrieve it and
- // return.
- const size_t available = mFmqRequestChannel->availableToRead();
+ // Check if data is available. If it is, immediately retrieve it and return.
+ const size_t available = mFmqRequestChannel.availableToRead();
if (available > 0) {
- // This is the first point when we know an execution is occurring,
- // so begin to collect systraces. Note that a similar systrace does
- // not exist at the corresponding point in
- // ResultChannelReceiver::getPacketBlocking because the execution is
- // already in flight.
- NNTRACE_FULL(NNTRACE_LAYER_IPC, NNTRACE_PHASE_EXECUTION,
- "ExecutionBurstServer getting packet");
std::vector<FmqRequestDatum> packet(available);
- const bool success = mFmqRequestChannel->read(packet.data(), available);
+ const bool success = mFmqRequestChannel.readBlocking(packet.data(), available);
if (!success) {
- LOG(ERROR) << "Error receiving packet";
- return std::nullopt;
+ return NN_ERROR() << "Error receiving packet";
}
- return std::make_optional(std::move(packet));
+ return packet;
}
}
- // If we get to this point, we either stopped polling because it was taking
- // too long or polling was not allowed. Instead, perform a blocking call
- // which uses a futex to save power.
+ // If we get to this point, we either stopped polling because it was taking too long or polling
+ // was not allowed. Instead, perform a blocking call which uses a futex to save power.
// wait for request packet and read first element of request packet
FmqRequestDatum datum;
- bool success = mFmqRequestChannel->readBlocking(&datum, 1);
-
- // This is the first point when we know an execution is occurring, so begin
- // to collect systraces. Note that a similar systrace does not exist at the
- // corresponding point in ResultChannelReceiver::getPacketBlocking because
- // the execution is already in flight.
- NNTRACE_FULL(NNTRACE_LAYER_IPC, NNTRACE_PHASE_EXECUTION, "ExecutionBurstServer getting packet");
+ bool success = mFmqRequestChannel.readBlocking(&datum, 1);
// retrieve remaining elements
- // NOTE: all of the data is already available at this point, so there's no
- // need to do a blocking wait to wait for more data. This is known because
- // in FMQ, all writes are published (made available) atomically. Currently,
- // the producer always publishes the entire packet in one function call, so
- // if the first element of the packet is available, the remaining elements
- // are also available.
- const size_t count = mFmqRequestChannel->availableToRead();
+ // NOTE: all of the data is already available at this point, so there's no need to do a blocking
+ // wait to wait for more data. This is known because in FMQ, all writes are published (made
+ // available) atomically. Currently, the producer always publishes the entire packet in one
+ // function call, so if the first element of the packet is available, the remaining elements are
+ // also available.
+ const size_t count = mFmqRequestChannel.availableToRead();
std::vector<FmqRequestDatum> packet(count + 1);
std::memcpy(&packet.front(), &datum, sizeof(datum));
- success &= mFmqRequestChannel->read(packet.data() + 1, count);
+ success &= mFmqRequestChannel.read(packet.data() + 1, count);
// terminate loop
if (mTeardown) {
- return std::nullopt;
+ return NN_ERROR() << "FMQ object is being torn down";
}
// ensure packet was successfully received
if (!success) {
- LOG(ERROR) << "Error receiving packet";
- return std::nullopt;
+ return NN_ERROR() << "Error receiving packet";
}
- return std::make_optional(std::move(packet));
+ return packet;
}
// ResultChannelSender methods
-std::unique_ptr<ResultChannelSender> ResultChannelSender::create(
- const FmqResultDescriptor& resultChannel) {
- std::unique_ptr<FmqResultChannel> fmqResultChannel =
- std::make_unique<FmqResultChannel>(resultChannel);
+nn::GeneralResult<std::unique_ptr<ResultChannelSender>> ResultChannelSender::create(
+ const MQDescriptorSync<FmqResultDatum>& resultChannel) {
+ auto resultChannelSender =
+ std::make_unique<ResultChannelSender>(PrivateConstructorTag{}, resultChannel);
- if (!fmqResultChannel->isValid()) {
- LOG(ERROR) << "Unable to create RequestChannelSender";
- return nullptr;
+ if (!resultChannelSender->mFmqResultChannel.isValid()) {
+ return NN_ERROR() << "Unable to create RequestChannelSender";
}
- if (fmqResultChannel->getEventFlagWord() == nullptr) {
- LOG(ERROR) << "ResultChannelSender::create was passed an MQDescriptor without an EventFlag";
- return nullptr;
+ if (resultChannelSender->mFmqResultChannel.getEventFlagWord() == nullptr) {
+ return NN_ERROR()
+ << "ResultChannelSender::create was passed an MQDescriptor without an EventFlag";
}
- return std::make_unique<ResultChannelSender>(std::move(fmqResultChannel));
+ return resultChannelSender;
}
-ResultChannelSender::ResultChannelSender(std::unique_ptr<FmqResultChannel> fmqResultChannel)
- : mFmqResultChannel(std::move(fmqResultChannel)) {}
+ResultChannelSender::ResultChannelSender(PrivateConstructorTag /*tag*/,
+ const MQDescriptorSync<FmqResultDatum>& resultChannel)
+ : mFmqResultChannel(resultChannel) {}
-bool ResultChannelSender::send(V1_0::ErrorStatus errorStatus,
+void ResultChannelSender::send(V1_0::ErrorStatus errorStatus,
const std::vector<V1_2::OutputShape>& outputShapes,
V1_2::Timing timing) {
const std::vector<FmqResultDatum> serialized = serialize(errorStatus, outputShapes, timing);
- return sendPacket(serialized);
+ sendPacket(serialized);
}
-bool ResultChannelSender::sendPacket(const std::vector<FmqResultDatum>& packet) {
- if (packet.size() > mFmqResultChannel->availableToWrite()) {
+void ResultChannelSender::sendPacket(const std::vector<FmqResultDatum>& packet) {
+ if (packet.size() > mFmqResultChannel.availableToWrite()) {
LOG(ERROR)
<< "ResultChannelSender::sendPacket -- packet size exceeds size available in FMQ";
const std::vector<FmqResultDatum> errorPacket =
serialize(V1_0::ErrorStatus::GENERAL_FAILURE, {}, kNoTiming);
- // Always send the packet with "blocking" because this signals the futex
- // and unblocks the consumer if it is waiting on the futex.
- return mFmqResultChannel->writeBlocking(errorPacket.data(), errorPacket.size());
+ // Always send the packet with "blocking" because this signals the futex and unblocks the
+ // consumer if it is waiting on the futex.
+ mFmqResultChannel.writeBlocking(errorPacket.data(), errorPacket.size());
+ } else {
+ // Always send the packet with "blocking" because this signals the futex and unblocks the
+ // consumer if it is waiting on the futex.
+ mFmqResultChannel.writeBlocking(packet.data(), packet.size());
}
-
- // Always send the packet with "blocking" because this signals the futex and
- // unblocks the consumer if it is waiting on the futex.
- return mFmqResultChannel->writeBlocking(packet.data(), packet.size());
}
// ResultChannelReceiver methods
-std::pair<std::unique_ptr<ResultChannelReceiver>, const FmqResultDescriptor*>
+nn::GeneralResult<
+ std::pair<std::unique_ptr<ResultChannelReceiver>, const MQDescriptorSync<FmqResultDatum>*>>
ResultChannelReceiver::create(size_t channelLength, std::chrono::microseconds pollingTimeWindow) {
- std::unique_ptr<FmqResultChannel> fmqResultChannel =
- std::make_unique<FmqResultChannel>(channelLength, /*confEventFlag=*/true);
- if (!fmqResultChannel->isValid()) {
- LOG(ERROR) << "Unable to create ResultChannelReceiver";
- return {nullptr, nullptr};
+ auto resultChannelReceiver = std::make_unique<ResultChannelReceiver>(
+ PrivateConstructorTag{}, channelLength, pollingTimeWindow);
+ if (!resultChannelReceiver->mFmqResultChannel.isValid()) {
+ return NN_ERROR() << "Unable to create ResultChannelReceiver";
}
- const FmqResultDescriptor* descriptor = fmqResultChannel->getDesc();
- return std::make_pair(
- std::make_unique<ResultChannelReceiver>(std::move(fmqResultChannel), pollingTimeWindow),
- descriptor);
+ const MQDescriptorSync<FmqResultDatum>* descriptor =
+ resultChannelReceiver->mFmqResultChannel.getDesc();
+ return std::make_pair(std::move(resultChannelReceiver), descriptor);
}
-ResultChannelReceiver::ResultChannelReceiver(std::unique_ptr<FmqResultChannel> fmqResultChannel,
+ResultChannelReceiver::ResultChannelReceiver(PrivateConstructorTag /*tag*/, size_t channelLength,
std::chrono::microseconds pollingTimeWindow)
- : mFmqResultChannel(std::move(fmqResultChannel)), kPollingTimeWindow(pollingTimeWindow) {}
+ : mFmqResultChannel(channelLength, /*configureEventFlagWord=*/true),
+ kPollingTimeWindow(pollingTimeWindow) {}
-std::optional<std::tuple<V1_0::ErrorStatus, std::vector<V1_2::OutputShape>, V1_2::Timing>>
+nn::Result<std::tuple<V1_0::ErrorStatus, std::vector<V1_2::OutputShape>, V1_2::Timing>>
ResultChannelReceiver::getBlocking() {
- const auto packet = getPacketBlocking();
- if (!packet) {
- return std::nullopt;
- }
-
- return deserialize(*packet);
+ const auto packet = NN_TRY(getPacketBlocking());
+ return deserialize(packet);
}
-void ResultChannelReceiver::invalidate() {
+void ResultChannelReceiver::notifyAsDeadObject() {
mValid = false;
// force unblock
- // ExecutionBurstController waits on a result packet after sending a
- // request. If the driver containing ExecutionBurstServer crashes, the
- // controller may be waiting on the futex. This force unblock wakes up any
- // thread waiting on the futex.
- // TODO: look for a different/better way to signal/notify the futex to
- // wake up any thread waiting on it
- FmqResultDatum datum;
- datum.packetInformation({/*.packetSize=*/0,
- /*.errorStatus=*/V1_0::ErrorStatus::GENERAL_FAILURE,
- /*.numberOfOperands=*/0});
- mFmqResultChannel->writeBlocking(&datum, 1);
+ // ExecutionBurstController waits on a result packet after sending a request. If the driver
+ // containing ExecutionBurstServer crashes, the controller may be waiting on the futex. This
+ // force unblock wakes up any thread waiting on the futex.
+ const auto data = serialize(V1_0::ErrorStatus::GENERAL_FAILURE, {}, kNoTiming);
+ mFmqResultChannel.writeBlocking(data.data(), data.size());
}
-std::optional<std::vector<FmqResultDatum>> ResultChannelReceiver::getPacketBlocking() {
+nn::Result<std::vector<FmqResultDatum>> ResultChannelReceiver::getPacketBlocking() {
if (!mValid) {
- return std::nullopt;
+ return NN_ERROR() << "FMQ object is invalid";
}
- // First spend time polling if results are available in FMQ instead of
- // waiting on the futex. Polling is more responsive (yielding lower
- // latencies), but can take up more power, so only poll for a limited period
- // of time.
+ // First spend time polling if results are available in FMQ instead of waiting on the futex.
+ // Polling is more responsive (yielding lower latencies), but can take up more power, so only
+ // poll for a limited period of time.
auto& getCurrentTime = std::chrono::high_resolution_clock::now;
const auto timeToStopPolling = getCurrentTime() + kPollingTimeWindow;
@@ -696,54 +652,49 @@
while (getCurrentTime() < timeToStopPolling) {
// if class is being torn down, immediately return
if (!mValid.load(std::memory_order_relaxed)) {
- return std::nullopt;
+ return NN_ERROR() << "FMQ object is invalid";
}
- // Check if data is available. If it is, immediately retrieve it and
- // return.
- const size_t available = mFmqResultChannel->availableToRead();
+ // Check if data is available. If it is, immediately retrieve it and return.
+ const size_t available = mFmqResultChannel.availableToRead();
if (available > 0) {
std::vector<FmqResultDatum> packet(available);
- const bool success = mFmqResultChannel->read(packet.data(), available);
+ const bool success = mFmqResultChannel.readBlocking(packet.data(), available);
if (!success) {
- LOG(ERROR) << "Error receiving packet";
- return std::nullopt;
+ return NN_ERROR() << "Error receiving packet";
}
- return std::make_optional(std::move(packet));
+ return packet;
}
}
- // If we get to this point, we either stopped polling because it was taking
- // too long or polling was not allowed. Instead, perform a blocking call
- // which uses a futex to save power.
+ // If we get to this point, we either stopped polling because it was taking too long or polling
+ // was not allowed. Instead, perform a blocking call which uses a futex to save power.
// wait for result packet and read first element of result packet
FmqResultDatum datum;
- bool success = mFmqResultChannel->readBlocking(&datum, 1);
+ bool success = mFmqResultChannel.readBlocking(&datum, 1);
// retrieve remaining elements
- // NOTE: all of the data is already available at this point, so there's no
- // need to do a blocking wait to wait for more data. This is known because
- // in FMQ, all writes are published (made available) atomically. Currently,
- // the producer always publishes the entire packet in one function call, so
- // if the first element of the packet is available, the remaining elements
- // are also available.
- const size_t count = mFmqResultChannel->availableToRead();
+ // NOTE: all of the data is already available at this point, so there's no need to do a blocking
+ // wait to wait for more data. This is known because in FMQ, all writes are published (made
+ // available) atomically. Currently, the producer always publishes the entire packet in one
+ // function call, so if the first element of the packet is available, the remaining elements are
+ // also available.
+ const size_t count = mFmqResultChannel.availableToRead();
std::vector<FmqResultDatum> packet(count + 1);
std::memcpy(&packet.front(), &datum, sizeof(datum));
- success &= mFmqResultChannel->read(packet.data() + 1, count);
+ success &= mFmqResultChannel.read(packet.data() + 1, count);
if (!mValid) {
- return std::nullopt;
+ return NN_ERROR() << "FMQ object is invalid";
}
// ensure packet was successfully received
if (!success) {
- LOG(ERROR) << "Error receiving packet";
- return std::nullopt;
+ return NN_ERROR() << "Error receiving packet";
}
- return std::make_optional(std::move(packet));
+ return packet;
}
} // namespace android::hardware::neuralnetworks::V1_2::utils
diff --git a/neuralnetworks/1.2/utils/src/PreparedModel.cpp b/neuralnetworks/1.2/utils/src/PreparedModel.cpp
index 6841c5e..71a4ea8 100644
--- a/neuralnetworks/1.2/utils/src/PreparedModel.cpp
+++ b/neuralnetworks/1.2/utils/src/PreparedModel.cpp
@@ -18,6 +18,8 @@
#include "Callbacks.h"
#include "Conversions.h"
+#include "ExecutionBurstController.h"
+#include "ExecutionBurstUtils.h"
#include "Utils.h"
#include <android/hardware/neuralnetworks/1.0/types.h>
@@ -27,12 +29,12 @@
#include <nnapi/IPreparedModel.h>
#include <nnapi/Result.h>
#include <nnapi/Types.h>
-#include <nnapi/hal/1.0/Burst.h>
#include <nnapi/hal/1.0/Conversions.h>
#include <nnapi/hal/CommonUtils.h>
#include <nnapi/hal/HandleError.h>
#include <nnapi/hal/ProtectCallback.h>
+#include <chrono>
#include <memory>
#include <tuple>
#include <utility>
@@ -119,7 +121,14 @@
}
nn::GeneralResult<nn::SharedBurst> PreparedModel::configureExecutionBurst() const {
- return V1_0::utils::Burst::create(shared_from_this());
+ auto self = shared_from_this();
+ auto fallback = [preparedModel = std::move(self)](const nn::Request& request,
+ nn::MeasureTiming measure)
+ -> nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> {
+ return preparedModel->execute(request, measure, {}, {});
+ };
+ const auto pollingTimeWindow = getBurstControllerPollingTimeWindow();
+ return ExecutionBurstController::create(kPreparedModel, std::move(fallback), pollingTimeWindow);
}
std::any PreparedModel::getUnderlyingResource() const {