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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include <boost/test/unit_test.hpp>
#include "armnnTfParser/ITfParser.hpp"
#include "ParserPrototxtFixture.hpp"
// This is a special case for add, which supports broadcasting.
BOOST_AUTO_TEST_SUITE(TensorflowParser)
struct BroadcastForAddFixtureSlot1 : public armnnUtils::ParserPrototxtFixture<armnnTfParser::ITfParser>
{
BroadcastForAddFixtureSlot1()
{
m_Prototext = R"(
node {
name: "graphInput"
op: "Placeholder"
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "shape"
value {
shape {
}
}
}
}
node {
name: "Const_1"
op: "Const"
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_FLOAT
tensor_shape {
}
float_val: 4.0
float_val: 5.0
}
}
}
}
node {
name: "Add"
op: "Add"
input: "graphInput"
input: "Const_1"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
}
)";
SetupSingleInputSingleOutput({ 1, 2, 2, 2 }, "graphInput", "Add");
}
};
struct BroadcastForAddFixtureSlot0 : public armnnUtils::ParserPrototxtFixture<armnnTfParser::ITfParser>
{
BroadcastForAddFixtureSlot0()
{
m_Prototext = R"(
node {
name: "graphInput"
op: "Placeholder"
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "shape"
value {
shape {
}
}
}
}
node {
name: "Const_1"
op: "Const"
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_FLOAT
tensor_shape {
}
float_val: 4.0
float_val: 5.0
}
}
}
}
node {
name: "Add"
op: "Add"
input: "Const_1"
input: "graphInput"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
}
)";
SetupSingleInputSingleOutput({ 1, 2, 2, 2 }, "graphInput", "Add");
}
};
BOOST_FIXTURE_TEST_CASE(ParseBroadcastForAddition1, BroadcastForAddFixtureSlot1)
{
RunTest<4>({ 1.0, 1.0, 2.0, 2.0, 3.0, 3.0, 4.0, 4.0 }, { 5.0, 6.0, 6.0, 7.0, 7.0, 8.0, 8.0, 9.0 });
}
BOOST_FIXTURE_TEST_CASE(ParseBroadcastForAddition0, BroadcastForAddFixtureSlot0)
{
RunTest<4>({ 1.0, 1.0, 2.0, 2.0, 3.0, 3.0, 4.0, 4.0 }, { 5.0, 6.0, 6.0, 7.0, 7.0, 8.0, 8.0, 9.0 });
}
BOOST_AUTO_TEST_SUITE_END()
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