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//
// Copyright © 2020 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "armnnTfParser/ITfParser.hpp"
#include "ParserPrototxtFixture.hpp"
#include <PrototxtConversions.hpp>
#include <boost/test/unit_test.hpp>
BOOST_AUTO_TEST_SUITE(TensorflowParser)
namespace {
// helper for setting the dimensions in prototxt
void shapeHelper(const armnn::TensorShape& shape, std::string& text){
for(unsigned int i = 0; i < shape.GetNumDimensions(); ++i) {
text.append(R"(dim {
size: )");
text.append(std::to_string(shape[i]));
text.append(R"(
})");
}
}
// helper for converting from integer to octal representation
void octalHelper(const std::vector<int>& content, std::string& text){
for (unsigned int i = 0; i < content.size(); ++i)
{
text.append(armnnUtils::ConvertInt32ToOctalString(static_cast<int>(content[i])));
}
}
} // namespace
struct StridedSliceFixture : public armnnUtils::ParserPrototxtFixture<armnnTfParser::ITfParser>
{
StridedSliceFixture(const armnn::TensorShape& inputShape,
const std::vector<int>& beginData,
const std::vector<int>& endData,
const std::vector<int>& stridesData,
int beginMask = 0,
int endMask = 0,
int ellipsisMask = 0,
int newAxisMask = 0,
int shrinkAxisMask = 0)
{
m_Prototext = R"(
node {
name: "input"
op: "Placeholder"
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "shape"
value {
shape {)";
shapeHelper(inputShape, m_Prototext);
m_Prototext.append(R"(
}
}
}
}
node {
name: "begin"
op: "Const"
attr {
key: "dtype"
value {
type: DT_INT32
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
dim {
size: )");
m_Prototext += std::to_string(beginData.size());
m_Prototext.append(R"(
}
}
tensor_content: ")");
octalHelper(beginData, m_Prototext);
m_Prototext.append(R"("
}
}
}
}
node {
name: "end"
op: "Const"
attr {
key: "dtype"
value {
type: DT_INT32
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
dim {
size: )");
m_Prototext += std::to_string(endData.size());
m_Prototext.append(R"(
}
}
tensor_content: ")");
octalHelper(endData, m_Prototext);
m_Prototext.append(R"("
}
}
}
}
node {
name: "strides"
op: "Const"
attr {
key: "dtype"
value {
type: DT_INT32
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
dim {
size: )");
m_Prototext += std::to_string(stridesData.size());
m_Prototext.append(R"(
}
}
tensor_content: ")");
octalHelper(stridesData, m_Prototext);
m_Prototext.append(R"("
}
}
}
}
node {
name: "output"
op: "StridedSlice"
input: "input"
input: "begin"
input: "end"
input: "strides"
attr {
key: "begin_mask"
value {
i: )");
m_Prototext += std::to_string(beginMask);
m_Prototext.append(R"(
}
}
attr {
key: "end_mask"
value {
i: )");
m_Prototext += std::to_string(endMask);
m_Prototext.append(R"(
}
}
attr {
key: "ellipsis_mask"
value {
i: )");
m_Prototext += std::to_string(ellipsisMask);
m_Prototext.append(R"(
}
}
attr {
key: "new_axis_mask"
value {
i: )");
m_Prototext += std::to_string(newAxisMask);
m_Prototext.append(R"(
}
}
attr {
key: "shrink_axis_mask"
value {
i: )");
m_Prototext += std::to_string(shrinkAxisMask);
m_Prototext.append(R"(
}
}
})");
Setup({ { "input", inputShape } }, { "output" });
}
};
struct StridedSlice4DFixture : StridedSliceFixture
{
StridedSlice4DFixture() : StridedSliceFixture({ 3, 2, 3, 1 }, // inputShape
{ 1, 0, 0, 0 }, // beginData
{ 2, 2, 3, 1 }, // endData
{ 1, 1, 1, 1 } // stridesData
) {}
};
BOOST_FIXTURE_TEST_CASE(StridedSlice4D, StridedSlice4DFixture)
{
RunTest<4>(
{{"input", { 1.0f, 1.0f, 1.0f, 2.0f, 2.0f, 2.0f,
3.0f, 3.0f, 3.0f, 4.0f, 4.0f, 4.0f,
5.0f, 5.0f, 5.0f, 6.0f, 6.0f, 6.0f }}},
{{"output", { 3.0f, 3.0f, 3.0f, 4.0f, 4.0f, 4.0f }}});
}
struct StridedSlice4DReverseFixture : StridedSliceFixture
{
StridedSlice4DReverseFixture() : StridedSliceFixture({ 3, 2, 3, 1 }, // inputShape
{ 1, -1, 0, 0 }, // beginData
{ 2, -3, 3, 1 }, // endData
{ 1, -1, 1, 1 } // stridesData
) {}
};
BOOST_FIXTURE_TEST_CASE(StridedSlice4DReverse, StridedSlice4DReverseFixture)
{
RunTest<4>(
{{"input", { 1.0f, 1.0f, 1.0f, 2.0f, 2.0f, 2.0f,
3.0f, 3.0f, 3.0f, 4.0f, 4.0f, 4.0f,
5.0f, 5.0f, 5.0f, 6.0f, 6.0f, 6.0f }}},
{{"output", { 4.0f, 4.0f, 4.0f, 3.0f, 3.0f, 3.0f }}});
}
struct StridedSliceSimpleStrideFixture : StridedSliceFixture
{
StridedSliceSimpleStrideFixture() : StridedSliceFixture({ 3, 2, 3, 1 }, // inputShape
{ 0, 0, 0, 0 }, // beginData
{ 3, 2, 3, 1 }, // endData
{ 2, 2, 2, 1 } // stridesData
) {}
};
BOOST_FIXTURE_TEST_CASE(StridedSliceSimpleStride, StridedSliceSimpleStrideFixture)
{
RunTest<4>(
{{"input", { 1.0f, 1.0f, 1.0f, 2.0f, 2.0f, 2.0f,
3.0f, 3.0f, 3.0f, 4.0f, 4.0f, 4.0f,
5.0f, 5.0f, 5.0f, 6.0f, 6.0f, 6.0f }}},
{{"output", { 1.0f, 1.0f,
5.0f, 5.0f }}});
}
struct StridedSliceSimpleRangeMaskFixture : StridedSliceFixture
{
StridedSliceSimpleRangeMaskFixture() : StridedSliceFixture({ 3, 2, 3, 1 }, // inputShape
{ 1, 1, 1, 1 }, // beginData
{ 1, 1, 1, 1 }, // endData
{ 1, 1, 1, 1 }, // stridesData
(1 << 4) - 1, // beginMask
(1 << 4) - 1 // endMask
) {}
};
BOOST_FIXTURE_TEST_CASE(StridedSliceSimpleRangeMask, StridedSliceSimpleRangeMaskFixture)
{
RunTest<4>(
{{"input", { 1.0f, 1.0f, 1.0f, 2.0f, 2.0f, 2.0f,
3.0f, 3.0f, 3.0f, 4.0f, 4.0f, 4.0f,
5.0f, 5.0f, 5.0f, 6.0f, 6.0f, 6.0f }}},
{{"output", { 1.0f, 1.0f, 1.0f, 2.0f, 2.0f, 2.0f,
3.0f, 3.0f, 3.0f, 4.0f, 4.0f, 4.0f,
5.0f, 5.0f, 5.0f, 6.0f, 6.0f, 6.0f }}});
}
BOOST_AUTO_TEST_SUITE_END()