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-rw-r--r--src/backends/backendsCommon/test/layerTests/GreaterTestImpl.cpp113
1 files changed, 112 insertions, 1 deletions
diff --git a/src/backends/backendsCommon/test/layerTests/GreaterTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/GreaterTestImpl.cpp
index b5bf560e3c..0148216285 100644
--- a/src/backends/backendsCommon/test/layerTests/GreaterTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/GreaterTestImpl.cpp
@@ -4,9 +4,10 @@
//
#include "GreaterTestImpl.hpp"
-
#include "ElementwiseTestImpl.hpp"
+#include <Half.hpp>
+
template<>
std::unique_ptr<armnn::IWorkload> CreateWorkload<armnn::GreaterQueueDescriptor>(
const armnn::IWorkloadFactory& workloadFactory,
@@ -119,6 +120,116 @@ LayerTestResult<uint8_t, 4> GreaterBroadcast1DVectorTest(
output);
}
+LayerTestResult<uint8_t, 4> GreaterFloat16Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ using namespace half_float::literal;
+
+ const unsigned int width = 2u;
+ const unsigned int height = 2u;
+ const unsigned int channelCount = 2u;
+ const unsigned int batchSize = 2u;
+
+ unsigned int shape[] = { batchSize, channelCount, height, width };
+
+ std::vector<armnn::Half> input0 =
+ {
+ 1._h, 1._h, 1._h, 1._h, 5._h, 5._h, 5._h, 5._h,
+ 3._h, 3._h, 3._h, 3._h, 4._h, 4._h, 4._h, 4._h
+ };
+
+ std::vector<armnn::Half> input1 =
+ {
+ 1._h, 1._h, 1._h, 1._h, 3._h, 3._h, 3._h, 3._h,
+ 5._h, 5._h, 5._h, 5._h, 4._h, 4._h, 4._h, 4._h
+ };
+
+ std::vector<uint8_t> output =
+ {
+ 0, 0, 0, 0, 1, 1, 1, 1,
+ 0, 0, 0, 0, 0, 0, 0, 0
+ };
+
+ return ElementwiseTestHelper<4,
+ armnn::GreaterQueueDescriptor,
+ armnn::DataType::Float16,
+ armnn::DataType::Boolean>(
+ workloadFactory,
+ memoryManager,
+ shape,
+ input0,
+ shape,
+ input1,
+ shape,
+ output);
+}
+
+LayerTestResult<uint8_t, 4> GreaterBroadcast1ElementFloat16Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ using namespace half_float::literal;
+
+ unsigned int shape0[] = { 1, 2, 2, 2 };
+ unsigned int shape1[] = { 1, 1, 1, 1 };
+
+ std::vector<armnn::Half> input0 = { 1._h, 2._h, 3._h, 4._h, 5._h, 6._h, 7._h, 8._h };
+ std::vector<armnn::Half> input1 = { 1._h };
+
+ std::vector<uint8_t> output = { 0, 1, 1, 1, 1, 1, 1, 1};
+
+ return ElementwiseTestHelper<4,
+ armnn::GreaterQueueDescriptor,
+ armnn::DataType::Float16,
+ armnn::DataType::Boolean>(
+ workloadFactory,
+ memoryManager,
+ shape0,
+ input0,
+ shape1,
+ input1,
+ shape0,
+ output);
+}
+
+LayerTestResult<uint8_t, 4> GreaterBroadcast1DVectorFloat16Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ using namespace half_float::literal;
+
+ const unsigned int shape0[] = { 1, 2, 2, 3 };
+ const unsigned int shape1[] = { 1, 1, 1, 3 };
+
+ std::vector<armnn::Half> input0 =
+ {
+ 1.0_h, 2.9_h, 2.1_h, 4.0_h, 5.0_h, 6.0_h,
+ 7.0_h, 8.0_h, 9.0_h, 10.0_h, 11.0_h, 12.0_h
+ };
+
+ std::vector<armnn::Half> input1 = { 1._h, 3._h, 2._h };
+
+ std::vector<uint8_t> output =
+ {
+ 0, 0, 1, 1, 1, 1,
+ 1, 1, 1, 1, 1, 1
+ };
+
+ return ElementwiseTestHelper<4,
+ armnn::GreaterQueueDescriptor,
+ armnn::DataType::Float16,
+ armnn::DataType::Boolean>(
+ workloadFactory,
+ memoryManager,
+ shape0,
+ input0,
+ shape1,
+ input1,
+ shape0,
+ output);
+}
+
LayerTestResult<uint8_t, 4> GreaterUint8Test(
armnn::IWorkloadFactory& workloadFactory,
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)