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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"
#include <string>
#include <iostream>
BOOST_AUTO_TEST_SUITE(TensorflowParser)
struct DepthwiseConvolution2dFixture : public ParserPrototxtFixture<armnnTfParser::ITfParser>
{
explicit DepthwiseConvolution2dFixture(const char* paddingType)
{
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: \"value\" \n"
" value { \n"
" tensor { \n"
" dtype: DT_FLOAT \n"
" tensor_shape { \n"
" dim { \n"
" size: 1 \n"
" } \n"
" dim { \n"
" size: 1 \n"
" } \n"
" dim { \n"
" size: 3 \n"
" } \n"
" dim { \n"
" size: 3 \n"
" } \n"
" } \n"
" tensor_content: \"\\000\\000\\200?\\000\\000\\000@\\000\\000@@\\000\\000\\200@"
"\\000\\000\\240@\\000\\000\\300@\\000\\000\\340@\\000\\000\\000A\\000\\000\\020A\" \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"
" dim { \n"
" size: 3 \n"
" } \n"
" dim { \n"
" size: 3 \n"
" } \n"
" dim { \n"
" size: 3 \n"
" } \n"
" } \n"
" tensor_content: \"\\000\\000\\000?\\000\\000\\200?\\000\\000\\000?"
"\\000\\000\\000?\\000\\000\\200?\\000\\000\\000?"
"\\000\\000\\000?\\000\\000\\200?\\000\\000\\000?"
"\\000\\000\\000?\\000\\000\\200?\\000\\000\\000?"
"\\000\\000\\000?\\000\\000\\200?\\000\\000\\000?"
"\\000\\000\\000?\\000\\000\\200?\\000\\000\\000?"
"\\000\\000\\000?\\000\\000\\200?\\000\\000\\000?"
"\\000\\000\\000?\\000\\000\\200?\\000\\000\\000?"
"\\000\\000\\000?\\000\\000\\200?\\000\\000\\000?\" \n"
" } \n"
" } \n"
" } \n"
"} \n"
"node { \n"
" name: \"potato\" \n"
" op: \"DepthwiseConv2dNative\" \n"
" input: \"graphInput\" \n"
" input: \"Const_1\" \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: \"padding\" \n"
" value { \n"
" s: \"";
m_Prototext.append(paddingType);
m_Prototext.append("\"\n"
" } \n"
" } \n"
" attr { \n"
" key: \"strides\" \n"
" value { \n"
" list { \n"
" i: 1 \n"
" i: 1 \n"
" i: 1 \n"
" i: 1 \n"
" } \n"
" } \n"
" } \n"
" attr { \n"
" key: \"use_cudnn_on_gpu\" \n"
" value { \n"
" b: false \n"
" } \n"
" } \n"
"} \n");
SetupSingleInputSingleOutput({ 1, 1, 3, 3 }, "graphInput", "potato");
}
};
struct DepthwiseConvolution2dSameFixture : DepthwiseConvolution2dFixture
{
DepthwiseConvolution2dSameFixture() : DepthwiseConvolution2dFixture("SAME") { }
};
BOOST_FIXTURE_TEST_CASE(ParseDepthwiseConv2DSame, DepthwiseConvolution2dSameFixture)
{
RunTest<4>({ 1, 2, 3, 4, 5, 6, 7, 8, 9 },
{ 2.5f, 5.f, 2.5f, 3.5f, 7.f, 3.5f, 4.5f, 9.f, 4.5f,
6.f, 12.f, 6.f, 7.5f, 15.f, 7.5f, 9.f, 18.f, 9.f,
5.5f, 11.f, 5.5f, 6.5f, 13.f, 6.5f, 7.5f, 15.f, 7.5f});
}
struct DepthwiseConvolution2dValidFixture : DepthwiseConvolution2dFixture
{
DepthwiseConvolution2dValidFixture() : DepthwiseConvolution2dFixture("VALID") { }
};
BOOST_FIXTURE_TEST_CASE(ParseDepthwiseConv2DValid, DepthwiseConvolution2dValidFixture)
{
RunTest<4>({ 1, 2, 3, 4, 5, 6, 7, 8, 9 }, // input data
{ 6.f, 12.f, 6.f, 7.5f, 15.f, 7.5f, 9.f, 18.f, 9.f }); // output expected data
}
BOOST_AUTO_TEST_SUITE_END()
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