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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"
BOOST_AUTO_TEST_SUITE(TensorflowParser)
struct ExpandDimsFixture : public armnnUtils::ParserPrototxtFixture<armnnTfParser::ITfParser>
{
ExpandDimsFixture(const std::string& expandDim)
{
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: \"ExpandDims\" \n"
" op: \"ExpandDims\" \n"
" input: \"graphInput\" \n"
" attr { \n"
" key: \"T\" \n"
" value { \n"
" type: DT_FLOAT \n"
" } \n"
" } \n"
" attr { \n"
" key: \"Tdim\" \n"
" value { \n";
m_Prototext += "i:" + expandDim;
m_Prototext +=
" } \n"
" } \n"
"} \n";
SetupSingleInputSingleOutput({ 2, 3, 5 }, "graphInput", "ExpandDims");
}
};
struct ExpandZeroDim : ExpandDimsFixture
{
ExpandZeroDim() : ExpandDimsFixture("0") {}
};
struct ExpandTwoDim : ExpandDimsFixture
{
ExpandTwoDim() : ExpandDimsFixture("2") {}
};
struct ExpandThreeDim : ExpandDimsFixture
{
ExpandThreeDim() : ExpandDimsFixture("3") {}
};
struct ExpandMinusOneDim : ExpandDimsFixture
{
ExpandMinusOneDim() : ExpandDimsFixture("-1") {}
};
struct ExpandMinusThreeDim : ExpandDimsFixture
{
ExpandMinusThreeDim() : ExpandDimsFixture("-3") {}
};
BOOST_FIXTURE_TEST_CASE(ParseExpandZeroDim, ExpandZeroDim)
{
BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo("ExpandDims").second.GetShape() ==
armnn::TensorShape({1, 2, 3, 5})));
}
BOOST_FIXTURE_TEST_CASE(ParseExpandTwoDim, ExpandTwoDim)
{
BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo("ExpandDims").second.GetShape() ==
armnn::TensorShape({2, 3, 1, 5})));
}
BOOST_FIXTURE_TEST_CASE(ParseExpandThreeDim, ExpandThreeDim)
{
BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo("ExpandDims").second.GetShape() ==
armnn::TensorShape({2, 3, 5, 1})));
}
BOOST_FIXTURE_TEST_CASE(ParseExpandMinusOneDim, ExpandMinusOneDim)
{
BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo("ExpandDims").second.GetShape() ==
armnn::TensorShape({2, 3, 5, 1})));
}
BOOST_FIXTURE_TEST_CASE(ParseExpandMinusThreeDim, ExpandMinusThreeDim)
{
BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo("ExpandDims").second.GetShape() ==
armnn::TensorShape({2, 1, 3, 5})));
}
struct ExpandDimsAsInputFixture : public armnnUtils::ParserPrototxtFixture<armnnTfParser::ITfParser>
{
ExpandDimsAsInputFixture(const std::string& expandDim,
const bool wrongDataType = false,
const std::string& numElements = "1")
{
std::string dataType = (wrongDataType) ? "DT_FLOAT" : "DT_INT32";
std::string val = (wrongDataType) ? ("float_val: " + expandDim + ".0") : ("int_val: "+ expandDim);
m_Prototext = R"(
node {
name: "a"
op: "Placeholder"
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "shape"
value {
shape {
dim {
size: 1
}
dim {
size: 4
}
}
}
}
}
node {
name: "b"
op: "Const"
attr {
key: "dtype"
value {
type: )" + dataType + R"(
}
}
attr {
key: "value"
value {
tensor {
dtype: )" + dataType + R"(
tensor_shape {
dim {
size: )" + numElements + R"(
}
}
)" + val + R"(
}
}
}
}
node {
name: "ExpandDims"
op: "ExpandDims"
input: "a"
input: "b"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "Tdim"
value {
type: DT_INT32
}
}
}
versions {
producer: 134
})";
}
};
struct ExpandDimAsInput : ExpandDimsAsInputFixture
{
ExpandDimAsInput() : ExpandDimsAsInputFixture("0")
{
Setup({{"a", {1,4}} ,{"b",{1,1}}}, { "ExpandDims" });
}
};
BOOST_FIXTURE_TEST_CASE(ParseExpandDimAsInput, ExpandDimAsInput)
{
// Axis parameter that describes which axis/dim should be expanded is passed as a second input
BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo("ExpandDims").second.GetShape() ==
armnn::TensorShape({1, 1, 4})));
}
struct ExpandDimAsInputWrongDataType : ExpandDimsAsInputFixture
{
ExpandDimAsInputWrongDataType() : ExpandDimsAsInputFixture("0", true, "1") {}
};
BOOST_FIXTURE_TEST_CASE(ParseExpandDimAsInputWrongDataType, ExpandDimAsInputWrongDataType)
{
// Axis parameter that describes which axis/dim should be expanded is passed as a second input
// Axis parameter is of wrong data type (float instead of int32)
BOOST_REQUIRE_THROW(Setup({{"a", {1,4}} ,{"b",{1,1}}}, { "ExpandDims" }), armnn::ParseException);
}
struct ExpandDimAsInputWrongShape : ExpandDimsAsInputFixture
{
ExpandDimAsInputWrongShape() : ExpandDimsAsInputFixture("0", false, "2") {}
};
BOOST_FIXTURE_TEST_CASE(ParseExpandDimAsInputWrongShape, ExpandDimAsInputWrongShape)
{
// Axis parameter that describes which axis/dim should be expanded is passed as a second input
// Axis parameter is of wrong shape
BOOST_REQUIRE_THROW(Setup({{"a", {1,4}} ,{"b",{1,1}}}, { "ExpandDims" }), armnn::ParseException);
}
struct ExpandDimsAsNotConstInputFixture : public armnnUtils::ParserPrototxtFixture<armnnTfParser::ITfParser>
{
ExpandDimsAsNotConstInputFixture()
{
m_Prototext = R"(
node {
name: "a"
op: "Placeholder"
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "shape"
value {
shape {
dim {
size: 1
}
dim {
size: 4
}
}
}
}
}
node {
name: "b"
op: "Placeholder"
attr {
key: "dtype"
value {
type: DT_INT32
}
}
attr {
key: "shape"
value {
shape {
dim {
size: 1
}
}
}
}
}
node {
name: "ExpandDims"
op: "ExpandDims"
input: "a"
input: "b"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "Tdim"
value {
type: DT_INT32
}
}
}
versions {
producer: 134
})";
}
};
BOOST_FIXTURE_TEST_CASE(ParseExpandDimAsNotConstInput, ExpandDimsAsNotConstInputFixture)
{
// Axis parameter that describes which axis/dim should be expanded is passed as a second input.
// But is not a constant tensor --> not supported
BOOST_REQUIRE_THROW(Setup({{"a", {1,4}} ,{"b",{1,1}}}, { "ExpandDims" }),
armnn::ParseException);
}
BOOST_AUTO_TEST_SUITE_END()