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authorScott Lobdell <slobdell@google.com>2021-02-23 11:55:14 -0800
committerScott Lobdell <slobdell@google.com>2021-02-23 11:55:14 -0800
commit86bfa300dfbcf500ad04bede19a2b5f0e6d418b9 (patch)
tree0b635f8b37f8adf728064d7615f4bba25b51e418 /neuralnetworks/aidl/utils/src/Utils.cpp
parent7b82a0f697d0cf832803a80f7ed2128002b54dec (diff)
parentf6fd33b5fdc12948537d800af8695ff6767039c2 (diff)
Merge SP1A.210222.001
Change-Id: I49bafb9c4e7adcb330e0e4c01111788b6ed84a00
Diffstat (limited to 'neuralnetworks/aidl/utils/src/Utils.cpp')
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+/*
+ * 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 "Utils.h"
+
+#include <nnapi/Result.h>
+
+namespace aidl::android::hardware::neuralnetworks::utils {
+namespace {
+
+using ::android::nn::GeneralResult;
+
+template <typename Type>
+nn::GeneralResult<std::vector<Type>> cloneVec(const std::vector<Type>& arguments) {
+ std::vector<Type> clonedObjects;
+ clonedObjects.reserve(arguments.size());
+ for (const auto& argument : arguments) {
+ clonedObjects.push_back(NN_TRY(clone(argument)));
+ }
+ return clonedObjects;
+}
+
+template <typename Type>
+GeneralResult<std::vector<Type>> clone(const std::vector<Type>& arguments) {
+ return cloneVec(arguments);
+}
+
+} // namespace
+
+GeneralResult<Memory> clone(const Memory& memory) {
+ common::NativeHandle nativeHandle;
+ nativeHandle.ints = memory.handle.ints;
+ nativeHandle.fds.reserve(memory.handle.fds.size());
+ for (const auto& fd : memory.handle.fds) {
+ const int newFd = dup(fd.get());
+ if (newFd < 0) {
+ return NN_ERROR() << "Couldn't dup a file descriptor";
+ }
+ nativeHandle.fds.emplace_back(newFd);
+ }
+ return Memory{
+ .handle = std::move(nativeHandle),
+ .size = memory.size,
+ .name = memory.name,
+ };
+}
+
+GeneralResult<RequestMemoryPool> clone(const RequestMemoryPool& requestPool) {
+ using Tag = RequestMemoryPool::Tag;
+ switch (requestPool.getTag()) {
+ case Tag::pool:
+ return RequestMemoryPool::make<Tag::pool>(NN_TRY(clone(requestPool.get<Tag::pool>())));
+ case Tag::token:
+ return RequestMemoryPool::make<Tag::token>(requestPool.get<Tag::token>());
+ }
+ // Using explicit type conversion because std::variant inside the RequestMemoryPool confuses the
+ // compiler.
+ return (NN_ERROR() << "Unrecognized request pool tag: " << requestPool.getTag())
+ .
+ operator GeneralResult<RequestMemoryPool>();
+}
+
+GeneralResult<Request> clone(const Request& request) {
+ return Request{
+ .inputs = request.inputs,
+ .outputs = request.outputs,
+ .pools = NN_TRY(clone(request.pools)),
+ };
+}
+
+GeneralResult<Model> clone(const Model& model) {
+ return Model{
+ .main = model.main,
+ .referenced = model.referenced,
+ .operandValues = model.operandValues,
+ .pools = NN_TRY(clone(model.pools)),
+ .relaxComputationFloat32toFloat16 = model.relaxComputationFloat32toFloat16,
+ .extensionNameToPrefix = model.extensionNameToPrefix,
+ };
+}
+
+} // namespace aidl::android::hardware::neuralnetworks::utils