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-rw-r--r--src/armnn/test/UtilsTests.cpp156
1 files changed, 78 insertions, 78 deletions
diff --git a/src/armnn/test/UtilsTests.cpp b/src/armnn/test/UtilsTests.cpp
index f2ca95d7bd..1599d0cd35 100644
--- a/src/armnn/test/UtilsTests.cpp
+++ b/src/armnn/test/UtilsTests.cpp
@@ -2,7 +2,7 @@
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
-#include <boost/test/unit_test.hpp>
+#include <doctest/doctest.h>
#include <armnn/BackendHelper.hpp>
@@ -15,52 +15,52 @@
#include <Graph.hpp>
#include <ResolveType.hpp>
-BOOST_AUTO_TEST_SUITE(Utils)
-
-BOOST_AUTO_TEST_CASE(DataTypeSize)
+TEST_SUITE("Utils")
+{
+TEST_CASE("DataTypeSize")
{
- BOOST_TEST(armnn::GetDataTypeSize(armnn::DataType::Float32) == 4);
- BOOST_TEST(armnn::GetDataTypeSize(armnn::DataType::QAsymmU8) == 1);
- BOOST_TEST(armnn::GetDataTypeSize(armnn::DataType::Signed32) == 4);
- BOOST_TEST(armnn::GetDataTypeSize(armnn::DataType::Boolean) == 1);
+ CHECK(armnn::GetDataTypeSize(armnn::DataType::Float32) == 4);
+ CHECK(armnn::GetDataTypeSize(armnn::DataType::QAsymmU8) == 1);
+ CHECK(armnn::GetDataTypeSize(armnn::DataType::Signed32) == 4);
+ CHECK(armnn::GetDataTypeSize(armnn::DataType::Boolean) == 1);
}
-BOOST_AUTO_TEST_CASE(PermuteDescriptorWithTooManyMappings)
+TEST_CASE("PermuteDescriptorWithTooManyMappings")
{
- BOOST_CHECK_THROW(armnn::PermuteDescriptor({ 0u, 1u, 2u, 3u, 4u, 5u }), armnn::InvalidArgumentException);
+ CHECK_THROWS_AS(armnn::PermuteDescriptor({ 0u, 1u, 2u, 3u, 4u, 5u }), armnn::InvalidArgumentException);
}
-BOOST_AUTO_TEST_CASE(PermuteDescriptorWithInvalidMappings1d)
+TEST_CASE("PermuteDescriptorWithInvalidMappings1d")
{
- BOOST_CHECK_THROW(armnn::PermuteDescriptor({ 1u }), armnn::InvalidArgumentException);
+ CHECK_THROWS_AS(armnn::PermuteDescriptor({ 1u }), armnn::InvalidArgumentException);
}
-BOOST_AUTO_TEST_CASE(PermuteDescriptorWithInvalidMappings2d)
+TEST_CASE("PermuteDescriptorWithInvalidMappings2d")
{
- BOOST_CHECK_THROW(armnn::PermuteDescriptor({ 2u, 0u }), armnn::InvalidArgumentException);
+ CHECK_THROWS_AS(armnn::PermuteDescriptor({ 2u, 0u }), armnn::InvalidArgumentException);
}
-BOOST_AUTO_TEST_CASE(PermuteDescriptorWithInvalidMappings3d)
+TEST_CASE("PermuteDescriptorWithInvalidMappings3d")
{
- BOOST_CHECK_THROW(armnn::PermuteDescriptor({ 0u, 3u, 1u }), armnn::InvalidArgumentException);
+ CHECK_THROWS_AS(armnn::PermuteDescriptor({ 0u, 3u, 1u }), armnn::InvalidArgumentException);
}
-BOOST_AUTO_TEST_CASE(PermuteDescriptorWithInvalidMappings4d)
+TEST_CASE("PermuteDescriptorWithInvalidMappings4d")
{
- BOOST_CHECK_THROW(armnn::PermuteDescriptor({ 0u, 1u, 2u, 4u }), armnn::InvalidArgumentException);
+ CHECK_THROWS_AS(armnn::PermuteDescriptor({ 0u, 1u, 2u, 4u }), armnn::InvalidArgumentException);
}
-BOOST_AUTO_TEST_CASE(PermuteDescriptorWithInvalidMappings5d)
+TEST_CASE("PermuteDescriptorWithInvalidMappings5d")
{
- BOOST_CHECK_THROW(armnn::PermuteDescriptor({ 0u, 1u, 2u, 3u, 5u }), armnn::InvalidArgumentException);
+ CHECK_THROWS_AS(armnn::PermuteDescriptor({ 0u, 1u, 2u, 3u, 5u }), armnn::InvalidArgumentException);
}
-BOOST_AUTO_TEST_CASE(PermuteDescriptorWithDuplicatedMappings)
+TEST_CASE("PermuteDescriptorWithDuplicatedMappings")
{
- BOOST_CHECK_THROW(armnn::PermuteDescriptor({ 1u, 1u, 0u }), armnn::InvalidArgumentException);
+ CHECK_THROWS_AS(armnn::PermuteDescriptor({ 1u, 1u, 0u }), armnn::InvalidArgumentException);
}
-BOOST_AUTO_TEST_CASE(HalfType)
+TEST_CASE("HalfType")
{
using namespace half_float::literal;
armnn::Half a = 1.0_h;
@@ -69,25 +69,25 @@ BOOST_AUTO_TEST_CASE(HalfType)
armnn::Half c(b);
// Test half type
- BOOST_CHECK_EQUAL(a, b);
- BOOST_CHECK_EQUAL(sizeof(c), 2);
+ CHECK_EQ(a, b);
+ CHECK_EQ(sizeof(c), 2);
// Test half type is floating point type
- BOOST_CHECK(std::is_floating_point<armnn::Half>::value);
+ CHECK(std::is_floating_point<armnn::Half>::value);
// Test utility function returns correct type.
using ResolvedType = armnn::ResolveType<armnn::DataType::Float16>;
constexpr bool isHalfType = std::is_same<armnn::Half, ResolvedType>::value;
- BOOST_CHECK(isHalfType);
+ CHECK(isHalfType);
//Test utility functions return correct size
- BOOST_CHECK(GetDataTypeSize(armnn::DataType::Float16) == 2);
+ CHECK(GetDataTypeSize(armnn::DataType::Float16) == 2);
//Test utility functions return correct name
- BOOST_CHECK((GetDataTypeName(armnn::DataType::Float16) == std::string("Float16")));
+ CHECK((GetDataTypeName(armnn::DataType::Float16) == std::string("Float16")));
}
-BOOST_AUTO_TEST_CASE(BFloatType)
+TEST_CASE("BFloatType")
{
uint16_t v = 16256;
armnn::BFloat16 a(v);
@@ -95,83 +95,83 @@ BOOST_AUTO_TEST_CASE(BFloatType)
armnn::BFloat16 zero;
// Test BFloat16 type
- BOOST_CHECK_EQUAL(sizeof(a), 2);
- BOOST_CHECK_EQUAL(a, b);
- BOOST_CHECK_EQUAL(a.Val(), v);
- BOOST_CHECK_EQUAL(a, 1.0f);
- BOOST_CHECK_EQUAL(zero, 0.0f);
+ CHECK_EQ(sizeof(a), 2);
+ CHECK_EQ(a, b);
+ CHECK_EQ(a.Val(), v);
+ CHECK_EQ(a, 1.0f);
+ CHECK_EQ(zero, 0.0f);
// Infinity
float infFloat = std::numeric_limits<float>::infinity();
armnn::BFloat16 infBF(infFloat);
- BOOST_CHECK_EQUAL(infBF, armnn::BFloat16::Inf());
+ CHECK_EQ(infBF, armnn::BFloat16::Inf());
// NaN
float nan = std::numeric_limits<float>::quiet_NaN();
armnn::BFloat16 nanBF(nan);
- BOOST_CHECK_EQUAL(nanBF, armnn::BFloat16::Nan());
+ CHECK_EQ(nanBF, armnn::BFloat16::Nan());
// Test utility function returns correct type.
using ResolvedType = armnn::ResolveType<armnn::DataType::BFloat16>;
constexpr bool isBFloat16Type = std::is_same<armnn::BFloat16, ResolvedType>::value;
- BOOST_CHECK(isBFloat16Type);
+ CHECK(isBFloat16Type);
//Test utility functions return correct size
- BOOST_CHECK(GetDataTypeSize(armnn::DataType::BFloat16) == 2);
+ CHECK(GetDataTypeSize(armnn::DataType::BFloat16) == 2);
//Test utility functions return correct name
- BOOST_CHECK((GetDataTypeName(armnn::DataType::BFloat16) == std::string("BFloat16")));
+ CHECK((GetDataTypeName(armnn::DataType::BFloat16) == std::string("BFloat16")));
}
-BOOST_AUTO_TEST_CASE(Float32ToBFloat16Test)
+TEST_CASE("Float32ToBFloat16Test")
{
// LSB = 0, R = 0 -> round down
armnn::BFloat16 roundDown0 = armnn::BFloat16::Float32ToBFloat16(1.704735E38f); // 0x7F004000
- BOOST_CHECK_EQUAL(roundDown0.Val(), 0x7F00);
+ CHECK_EQ(roundDown0.Val(), 0x7F00);
// LSB = 1, R = 0 -> round down
armnn::BFloat16 roundDown1 = armnn::BFloat16::Float32ToBFloat16(9.18355E-41f); // 0x00010000
- BOOST_CHECK_EQUAL(roundDown1.Val(), 0x0001);
+ CHECK_EQ(roundDown1.Val(), 0x0001);
// LSB = 0, R = 1 all 0 -> round down
armnn::BFloat16 roundDown2 = armnn::BFloat16::Float32ToBFloat16(1.14794E-40f); // 0x00014000
- BOOST_CHECK_EQUAL(roundDown2.Val(), 0x0001);
+ CHECK_EQ(roundDown2.Val(), 0x0001);
// LSB = 1, R = 1 -> round up
armnn::BFloat16 roundUp = armnn::BFloat16::Float32ToBFloat16(-2.0234377f); // 0xC0018001
- BOOST_CHECK_EQUAL(roundUp.Val(), 0xC002);
+ CHECK_EQ(roundUp.Val(), 0xC002);
// LSB = 0, R = 1 -> round up
armnn::BFloat16 roundUp1 = armnn::BFloat16::Float32ToBFloat16(4.843037E-35f); // 0x0680C000
- BOOST_CHECK_EQUAL(roundUp1.Val(), 0x0681);
+ CHECK_EQ(roundUp1.Val(), 0x0681);
// Max positive value -> infinity
armnn::BFloat16 maxPositive = armnn::BFloat16::Float32ToBFloat16(std::numeric_limits<float>::max()); // 0x7F7FFFFF
- BOOST_CHECK_EQUAL(maxPositive, armnn::BFloat16::Inf());
+ CHECK_EQ(maxPositive, armnn::BFloat16::Inf());
// Max negative value -> -infinity
armnn::BFloat16 maxNeg = armnn::BFloat16::Float32ToBFloat16(std::numeric_limits<float>::lowest()); // 0xFF7FFFFF
- BOOST_CHECK_EQUAL(maxNeg.Val(), 0xFF80);
+ CHECK_EQ(maxNeg.Val(), 0xFF80);
// Min positive value
armnn::BFloat16 minPositive = armnn::BFloat16::Float32ToBFloat16(1.1754942E-38f); // 0x007FFFFF
- BOOST_CHECK_EQUAL(minPositive.Val(), 0x0080);
+ CHECK_EQ(minPositive.Val(), 0x0080);
// Min negative value
armnn::BFloat16 minNeg = armnn::BFloat16::Float32ToBFloat16(-1.1754942E-38f); // 0x807FFFFF
- BOOST_CHECK_EQUAL(minNeg.Val(), 0x8080);
+ CHECK_EQ(minNeg.Val(), 0x8080);
}
-BOOST_AUTO_TEST_CASE(BFloat16ToFloat32Test)
+TEST_CASE("BFloat16ToFloat32Test")
{
armnn::BFloat16 bf0(1.5f);
- BOOST_CHECK_EQUAL(bf0.ToFloat32(), 1.5f);
+ CHECK_EQ(bf0.ToFloat32(), 1.5f);
armnn::BFloat16 bf1(-5.525308E-25f);
- BOOST_CHECK_EQUAL(bf1.ToFloat32(), -5.525308E-25f);
+ CHECK_EQ(bf1.ToFloat32(), -5.525308E-25f);
armnn::BFloat16 bf2(-2.0625f);
- BOOST_CHECK_EQUAL(bf2.ToFloat32(), -2.0625f);
+ CHECK_EQ(bf2.ToFloat32(), -2.0625f);
uint16_t v = 32639;
armnn::BFloat16 bf3(v);
- BOOST_CHECK_EQUAL(bf3.ToFloat32(), 3.3895314E38f);
+ CHECK_EQ(bf3.ToFloat32(), 3.3895314E38f);
// Infinity
- BOOST_CHECK_EQUAL(armnn::BFloat16::Inf().ToFloat32(), std::numeric_limits<float>::infinity());
+ CHECK_EQ(armnn::BFloat16::Inf().ToFloat32(), std::numeric_limits<float>::infinity());
// NaN
- BOOST_CHECK(std::isnan(armnn::BFloat16::Nan().ToFloat32()));
+ CHECK(std::isnan(armnn::BFloat16::Nan().ToFloat32()));
}
-BOOST_AUTO_TEST_CASE(GraphTopologicalSortSimpleTest)
+TEST_CASE("GraphTopologicalSortSimpleTest")
{
std::map<int, std::vector<int>> graph;
@@ -192,13 +192,13 @@ BOOST_AUTO_TEST_CASE(GraphTopologicalSortSimpleTest)
std::vector<int> output;
bool sortCompleted = armnnUtils::GraphTopologicalSort<int>(targetNodes, getNodeInputs, output);
- BOOST_TEST(sortCompleted);
+ CHECK(sortCompleted);
std::vector<int> correctResult = {5, 4, 2, 0, 3, 1};
- BOOST_CHECK_EQUAL_COLLECTIONS(output.begin(), output.end(), correctResult.begin(), correctResult.end());
+ CHECK(std::equal(output.begin(), output.end(), correctResult.begin(), correctResult.end()));
}
-BOOST_AUTO_TEST_CASE(GraphTopologicalSortVariantTest)
+TEST_CASE("GraphTopologicalSortVariantTest")
{
std::map<int, std::vector<int>> graph;
@@ -220,13 +220,13 @@ BOOST_AUTO_TEST_CASE(GraphTopologicalSortVariantTest)
std::vector<int> output;
bool sortCompleted = armnnUtils::GraphTopologicalSort<int>(targetNodes, getNodeInputs, output);
- BOOST_TEST(sortCompleted);
+ CHECK(sortCompleted);
std::vector<int> correctResult = {6, 5, 3, 4, 2, 0, 1};
- BOOST_CHECK_EQUAL_COLLECTIONS(output.begin(), output.end(), correctResult.begin(), correctResult.end());
+ CHECK(std::equal(output.begin(), output.end(), correctResult.begin(), correctResult.end()));
}
-BOOST_AUTO_TEST_CASE(CyclicalGraphTopologicalSortTest)
+TEST_CASE("CyclicalGraphTopologicalSortTest")
{
std::map<int, std::vector<int>> graph;
@@ -244,32 +244,32 @@ BOOST_AUTO_TEST_CASE(CyclicalGraphTopologicalSortTest)
std::vector<int> output;
bool sortCompleted = armnnUtils::GraphTopologicalSort<int>(targetNodes, getNodeInputs, output);
- BOOST_TEST(!sortCompleted);
+ CHECK(!sortCompleted);
}
-BOOST_AUTO_TEST_CASE(PermuteQuantizationDim)
+TEST_CASE("PermuteQuantizationDim")
{
std::vector<float> scales {1.0f, 1.0f};
// Set QuantizationDim to be index 1
const armnn::TensorInfo perChannelInfo({ 1, 2, 3, 4 }, armnn::DataType::Float32, scales, 1U);
- BOOST_CHECK(perChannelInfo.GetQuantizationDim().value() == 1U);
+ CHECK(perChannelInfo.GetQuantizationDim().value() == 1U);
// Permute so that index 1 moves to final index i.e. index 3
armnn::PermutationVector mappings({ 0, 3, 2, 1 });
auto permutedPerChannel = armnnUtils::Permuted(perChannelInfo, mappings);
// Check that QuantizationDim is in index 3
- BOOST_CHECK(permutedPerChannel.GetQuantizationDim().value() == 3U);
+ CHECK(permutedPerChannel.GetQuantizationDim().value() == 3U);
// Even if there is only a single scale the quantization dim still exists and needs to be permuted
std::vector<float> scale {1.0f};
const armnn::TensorInfo perChannelInfo1({ 1, 2, 3, 4 }, armnn::DataType::Float32, scale, 1U);
auto permuted = armnnUtils::Permuted(perChannelInfo1, mappings);
- BOOST_CHECK(permuted.GetQuantizationDim().value() == 3U);
+ CHECK(permuted.GetQuantizationDim().value() == 3U);
}
-BOOST_AUTO_TEST_CASE(PermuteVectorIterator)
+TEST_CASE("PermuteVectorIterator")
{
// We're slightly breaking the spirit of std::array.end() because we're using it as a
// variable length rather than fixed length. This test is to use a couple of iterators and
@@ -278,7 +278,7 @@ BOOST_AUTO_TEST_CASE(PermuteVectorIterator)
// Create zero length.
armnn::PermutationVector zeroPVector({});
// Begin should be equal to end.
- BOOST_CHECK(zeroPVector.begin() == zeroPVector.end());
+ CHECK(zeroPVector.begin() == zeroPVector.end());
// Create length 4. Summing the 4 values should be 6.
armnn::PermutationVector fourPVector({ 0, 3, 2, 1 });
@@ -287,7 +287,7 @@ BOOST_AUTO_TEST_CASE(PermuteVectorIterator)
{
sum += it;
}
- BOOST_CHECK(sum == 6);
+ CHECK(sum == 6);
// Directly use begin and end, make sure there are 4 iterations.
unsigned int iterations = 0;
auto itr = fourPVector.begin();
@@ -296,7 +296,7 @@ BOOST_AUTO_TEST_CASE(PermuteVectorIterator)
++iterations;
itr++;
}
- BOOST_CHECK(iterations == 4);
+ CHECK(iterations == 4);
// Do the same with 2 elements.
armnn::PermutationVector twoPVector({ 0, 1 });
@@ -307,20 +307,20 @@ BOOST_AUTO_TEST_CASE(PermuteVectorIterator)
++iterations;
itr++;
}
- BOOST_CHECK(iterations == 2);
+ CHECK(iterations == 2);
}
#if defined(ARMNNREF_ENABLED)
-BOOST_AUTO_TEST_CASE(LayerSupportHandle)
+TEST_CASE("LayerSupportHandle")
{
auto layerSupportObject = armnn::GetILayerSupportByBackendId("CpuRef");
armnn::TensorInfo input;
std::string reasonIfUnsupported;
// InputLayer always supported for CpuRef
- BOOST_CHECK_EQUAL(layerSupportObject.IsInputSupported(input, reasonIfUnsupported), true);
+ CHECK_EQ(layerSupportObject.IsInputSupported(input, reasonIfUnsupported), true);
- BOOST_CHECK(layerSupportObject.IsBackendRegistered());
+ CHECK(layerSupportObject.IsBackendRegistered());
}
#endif
-BOOST_AUTO_TEST_SUITE_END()
+}
generated by cgit v1.2.1 (git 2.23.0) at 2024-06-03 08:01:48 +0000