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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// See LICENSE file in the project root for full license information.
//
#include <boost/test/unit_test.hpp>
#include "armnnTfParser/ITfParser.hpp"
#include "ParserPrototxtFixture.hpp"
BOOST_AUTO_TEST_SUITE(TensorflowParser)
struct FusedBatchNormFixture : public ParserPrototxtFixture<armnnTfParser::ITfParser>
{
FusedBatchNormFixture()
{
m_Prototext = "node { \n"
" name: \"graphInput\" \n"
" op: \"Placeholder\" \n"
" attr { \n"
" key: \"dtype\" \n"
" value { \n"
" type: DT_FLOAT \n"
" } \n"
" } \n"
" attr { \n"
" key: \"shape\" \n"
" value { \n"
" shape { \n"
" } \n"
" } \n"
" } \n"
"} \n"
"node { \n"
" name: \"Const_1\" \n"
" op: \"Const\" \n"
" attr { \n"
" key: \"dtype\" \n"
" value { \n"
" type: DT_FLOAT \n"
" } \n"
" } \n"
" attr { \n"
" key: \"value\" \n"
" value { \n"
" tensor { \n"
" dtype: DT_FLOAT \n"
" tensor_shape { \n"
" dim { \n"
" size: 1 \n"
" } \n"
" } \n"
" float_val: 1.0 \n"
" } \n"
" } \n"
" } \n"
"} \n"
"node { \n"
" name: \"Const_2\" \n"
" op: \"Const\" \n"
" attr { \n"
" key: \"dtype\" \n"
" value { \n"
" type: DT_FLOAT \n"
" } \n"
" } \n"
" attr { \n"
" key: \"value\" \n"
" value { \n"
" tensor { \n"
" dtype: DT_FLOAT \n"
" tensor_shape { \n"
" dim { \n"
" size: 1 \n"
" } \n"
" } \n"
" float_val: 0.0 \n"
" } \n"
" } \n"
" } \n"
"} \n"
"node { \n"
" name: \"FusedBatchNormLayer/mean\" \n"
" op: \"Const\" \n"
" attr { \n"
" key: \"dtype\" \n"
" value { \n"
" type: DT_FLOAT \n"
" } \n"
" } \n"
" attr { \n"
" key: \"value\" \n"
" value { \n"
" tensor { \n"
" dtype: DT_FLOAT \n"
" tensor_shape { \n"
" dim { \n"
" size: 1 \n"
" } \n"
" } \n"
" float_val: 5.0 \n"
" } \n"
" } \n"
" } \n"
"} \n"
"node { \n"
" name: \"FusedBatchNormLayer/variance\" \n"
" op: \"Const\" \n"
" attr { \n"
" key: \"dtype\" \n"
" value { \n"
" type: DT_FLOAT \n"
" } \n"
" } \n"
" attr { \n"
" key: \"value\" \n"
" value { \n"
" tensor { \n"
" dtype: DT_FLOAT \n"
" tensor_shape { \n"
" dim { \n"
" size: 1 \n"
" } \n"
" } \n"
" float_val: 2.0 \n"
" } \n"
" } \n"
" } \n"
"} \n"
"node { \n"
" name: \"output\" \n"
" op: \"FusedBatchNorm\" \n"
" input: \"graphInput\" \n"
" input: \"Const_1\" \n"
" input: \"Const_2\" \n"
" input: \"FusedBatchNormLayer/mean\" \n"
" input: \"FusedBatchNormLayer/variance\" \n"
" attr { \n"
" key: \"T\" \n"
" value { \n"
" type: DT_FLOAT \n"
" } \n"
" } \n"
" attr { \n"
" key: \"data_format\" \n"
" value { \n"
" s: \"NHWC\" \n"
" } \n"
" } \n"
" attr { \n"
" key: \"epsilon\" \n"
" value { \n"
" f: 0.0010000000475 \n"
" } \n"
" } \n"
" attr { \n"
" key: \"is_training\" \n"
" value { \n"
" b: false \n"
" } \n"
" } \n"
"} \n";
SetupSingleInputSingleOutput({1, 3, 3, 1}, "graphInput", "output");
}
};
BOOST_FIXTURE_TEST_CASE(ParseFusedBatchNorm, FusedBatchNormFixture)
{
RunTest<4>({1, 2, 3, 4, 5, 6, 7, 8, 9}, // input data
{-2.8277204f, -2.12079024f, -1.4138602f,
-0.7069301f, 0.0f, 0.7069301f,
1.4138602f, 2.12079024f, 2.8277204f}); // expected output data
}
BOOST_AUTO_TEST_SUITE_END()
|
