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Diffstat (limited to 'runtimes/neurun/src/frontend/wrapper/compilation.cc')
-rw-r--r-- | runtimes/neurun/src/frontend/wrapper/compilation.cc | 66 |
1 files changed, 66 insertions, 0 deletions
diff --git a/runtimes/neurun/src/frontend/wrapper/compilation.cc b/runtimes/neurun/src/frontend/wrapper/compilation.cc new file mode 100644 index 000000000..4ff33faa5 --- /dev/null +++ b/runtimes/neurun/src/frontend/wrapper/compilation.cc @@ -0,0 +1,66 @@ +/* + * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved + * + * 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 <NeuralNetworks.h> + +#include <algorithm> + +#include <arm_compute/core/CL/ICLTensor.h> + +#include <arm_compute/runtime/IFunction.h> +#include <arm_compute/runtime/CL/CLScheduler.h> + +#include "internal/Convert.h" +#include "backend/acl_cl/kernel/View.h" +#include "backend/acl_cl/TensorBuilder.h" +#include "internal/nnapi/kernel/Reader.h" +#include "internal/Padding.h" +#include "backend/IInitializerGenerator.h" +#include "backend/IStageGenerator.h" + +#include "compilation.h" +#include "model.h" +#include "logging.h" + +#include "graph/dumper/Dumper.h" +#include "codegen/IPlanBuilder.h" +#include "codegen/Planner.h" +#include "codegen/PlanBuilder.h" + +#include "linear/Linear.h" + +int ANeuralNetworksCompilation::finish() +{ + auto &plan = this->plan(); + const auto &operands = plan.model().operands(); + + plan.model().lower(); + auto linear = plan.model().linearize(); + + // Dump ops + linear->accept(neurun::graph::dumper::Dumper{}); + + neurun::codegen::PlanBuilder plan_builder{plan}; + + auto tensor_builders = linear->markTensors(); + + linear->accept(neurun::codegen::Planner{operands, plan_builder}); + + // TODO Add optimization passes + plan_builder.finalize(tensor_builders); + + return ANEURALNETWORKS_NO_ERROR; +} |