1 files changed, 179 insertions, 0 deletions
diff --git a/neuralnetworks/utils/adapter/aidl/src/Burst.cpp b/neuralnetworks/utils/adapter/aidl/src/Burst.cpp
new file mode 100644
index 0000000000..4fabb20635
--- /dev/null
+++ b/neuralnetworks/utils/adapter/aidl/src/Burst.cpp
@@ -0,0 +1,179 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "Burst.h"
+
+#include <android-base/logging.h>
+#include <android-base/thread_annotations.h>
+#include <android/binder_auto_utils.h>
+#include <nnapi/IBurst.h>
+#include <nnapi/Result.h>
+#include <nnapi/Types.h>
+#include <nnapi/Validation.h>
+#include <nnapi/hal/aidl/Conversions.h>
+#include <nnapi/hal/aidl/Utils.h>
+
+#include <algorithm>
+#include <chrono>
+#include <memory>
+#include <mutex>
+#include <unordered_map>
+#include <utility>
+#include <variant>
+
+namespace aidl::android::hardware::neuralnetworks::adapter {
+namespace {
+
+using Value = Burst::ThreadSafeMemoryCache::Value;
+
+template <typename Type>
+auto convertInput(const Type& object) -> decltype(nn::convert(std::declval<Type>())) {
+    auto result = nn::convert(object);
+    if (!result.has_value()) {
+        result.error().code = nn::ErrorStatus::INVALID_ARGUMENT;
+    }
+    return result;
+}
+
+nn::Duration makeDuration(int64_t durationNs) {
+    return nn::Duration(std::chrono::nanoseconds(durationNs));
+}
+
+nn::GeneralResult<nn::OptionalDuration> makeOptionalDuration(int64_t durationNs) {
+    if (durationNs < -1) {
+        return NN_ERROR(nn::ErrorStatus::INVALID_ARGUMENT) << "Invalid duration " << durationNs;
+    }
+    return durationNs < 0 ? nn::OptionalDuration{} : makeDuration(durationNs);
+}
+
+nn::GeneralResult<nn::OptionalTimePoint> makeOptionalTimePoint(int64_t durationNs) {
+    if (durationNs < -1) {
+        return NN_ERROR(nn::ErrorStatus::INVALID_ARGUMENT) << "Invalid time point " << durationNs;
+    }
+    return durationNs < 0 ? nn::OptionalTimePoint{} : nn::TimePoint(makeDuration(durationNs));
+}
+
+std::vector<nn::IBurst::OptionalCacheHold> ensureAllMemoriesAreCached(
+        nn::Request* request, const std::vector<int64_t>& memoryIdentifierTokens,
+        const nn::IBurst& burst, const Burst::ThreadSafeMemoryCache& cache) {
+    std::vector<nn::IBurst::OptionalCacheHold> holds;
+    holds.reserve(memoryIdentifierTokens.size());
+
+    for (size_t i = 0; i < memoryIdentifierTokens.size(); ++i) {
+        const auto& pool = request->pools[i];
+        const auto token = memoryIdentifierTokens[i];
+        constexpr int64_t kNoToken = -1;
+        if (token == kNoToken || !std::holds_alternative<nn::SharedMemory>(pool)) {
+            continue;
+        }
+
+        const auto& memory = std::get<nn::SharedMemory>(pool);
+        auto [storedMemory, hold] = cache.add(token, memory, burst);
+
+        request->pools[i] = std::move(storedMemory);
+        holds.push_back(std::move(hold));
+    }
+
+    return holds;
+}
+
+nn::ExecutionResult<ExecutionResult> executeSynchronously(
+        const nn::IBurst& burst, const Burst::ThreadSafeMemoryCache& cache, const Request& request,
+        const std::vector<int64_t>& memoryIdentifierTokens, bool measureTiming, int64_t deadlineNs,
+        int64_t loopTimeoutDurationNs) {
+    if (request.pools.size() != memoryIdentifierTokens.size()) {
+        return NN_ERROR(nn::ErrorStatus::INVALID_ARGUMENT)
+               << "request.pools.size() != memoryIdentifierTokens.size()";
+    }
+    if (!std::all_of(memoryIdentifierTokens.begin(), memoryIdentifierTokens.end(),
+                     [](int64_t token) { return token >= -1; })) {
+        return NN_ERROR(nn::ErrorStatus::INVALID_ARGUMENT) << "Invalid memoryIdentifierTokens";
+    }
+
+    auto nnRequest = NN_TRY(convertInput(request));
+    const auto nnMeasureTiming = measureTiming ? nn::MeasureTiming::YES : nn::MeasureTiming::NO;
+    const auto nnDeadline = NN_TRY(makeOptionalTimePoint(deadlineNs));
+    const auto nnLoopTimeoutDuration = NN_TRY(makeOptionalDuration(loopTimeoutDurationNs));
+
+    const auto hold = ensureAllMemoriesAreCached(&nnRequest, memoryIdentifierTokens, burst, cache);
+
+    const auto result =
+            burst.execute(nnRequest, nnMeasureTiming, nnDeadline, nnLoopTimeoutDuration);
+
+    if (!result.ok() && result.error().code == nn::ErrorStatus::OUTPUT_INSUFFICIENT_SIZE) {
+        const auto& [message, code, outputShapes] = result.error();
+        return ExecutionResult{.outputSufficientSize = false,
+                               .outputShapes = utils::convert(outputShapes).value(),
+                               .timing = {.timeInDriverNs = -1, .timeOnDeviceNs = -1}};
+    }
+
+    const auto& [outputShapes, timing] = NN_TRY(result);
+    return ExecutionResult{.outputSufficientSize = true,
+                           .outputShapes = utils::convert(outputShapes).value(),
+                           .timing = utils::convert(timing).value()};
+}
+
+}  // namespace
+
+Value Burst::ThreadSafeMemoryCache::add(int64_t token, const nn::SharedMemory& memory,
+                                        const nn::IBurst& burst) const {
+    std::lock_guard guard(mMutex);
+    if (const auto it = mCache.find(token); it != mCache.end()) {
+        return it->second;
+    }
+    auto hold = burst.cacheMemory(memory);
+    auto [it, _] = mCache.emplace(token, std::make_pair(memory, std::move(hold)));
+    return it->second;
+}
+
+void Burst::ThreadSafeMemoryCache::remove(int64_t token) const {
+    std::lock_guard guard(mMutex);
+    mCache.erase(token);
+}
+
+Burst::Burst(nn::SharedBurst burst) : kBurst(std::move(burst)) {
+    CHECK(kBurst != nullptr);
+}
+
+ndk::ScopedAStatus Burst::executeSynchronously(const Request& request,
+                                               const std::vector<int64_t>& memoryIdentifierTokens,
+                                               bool measureTiming, int64_t deadlineNs,
+                                               int64_t loopTimeoutDurationNs,
+                                               ExecutionResult* executionResult) {
+    auto result =
+            adapter::executeSynchronously(*kBurst, kMemoryCache, request, memoryIdentifierTokens,
+                                          measureTiming, deadlineNs, loopTimeoutDurationNs);
+    if (!result.has_value()) {
+        auto [message, code, _] = std::move(result).error();
+        const auto aidlCode = utils::convert(code).value_or(ErrorStatus::GENERAL_FAILURE);
+        return ndk::ScopedAStatus::fromServiceSpecificErrorWithMessage(
+                static_cast<int32_t>(aidlCode), message.c_str());
+    }
+    *executionResult = std::move(result).value();
+    return ndk::ScopedAStatus::ok();
+}
+
+ndk::ScopedAStatus Burst::releaseMemoryResource(int64_t memoryIdentifierToken) {
+    if (memoryIdentifierToken < -1) {
+        return ndk::ScopedAStatus::fromServiceSpecificErrorWithMessage(
+                static_cast<int32_t>(ErrorStatus::INVALID_ARGUMENT),
+                "Invalid memoryIdentifierToken");
+    }
+    kMemoryCache.remove(memoryIdentifierToken);
+    return ndk::ScopedAStatus::ok();
+}
+
+}  // namespace aidl::android::hardware::neuralnetworks::adapter