ONE - On-device Neural Engine
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TestHelper.h
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/*
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* Copyright (c) 2022 Samsung Electronics Co., Ltd. All Rights Reserved
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#ifndef __TEST_HELPER_H__
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#define __TEST_HELPER_H__
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#include <
loco.h
>
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namespace
logo
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{
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namespace
test
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{
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template
<
typename
T> T *
find_first_node_by_type
(
loco::Graph
*g)
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{
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T *first_node =
nullptr
;
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for
(
auto
node :
loco::postorder_traversal
(
loco::output_nodes
(g)))
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{
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first_node =
dynamic_cast<
T *
>
(node);
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if
(first_node !=
nullptr
)
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break
;
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}
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return
first_node;
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}
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}
// namespace test
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}
// namespace logo
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#endif
// __TEST_HELPER_H__
loco::Graph
A neural network graph.
Definition
Graph.h:161
loco.h
loco::postorder_traversal
std::vector< loco::Node * > postorder_traversal(const std::vector< loco::Node * > &roots)
Generate postorder traversal sequence starting from "roots".
Definition
Algorithm.cpp:53
loco::output_nodes
std::vector< Node * > output_nodes(Graph *)
Definition
Graph.cpp:101
logo::test::find_first_node_by_type
T * find_first_node_by_type(loco::Graph *g)
Definition
TestHelper.h:27
logo
Definition
Pass.h:25
compiler
logo-ex
src
TestHelper.h
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