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authorSadik Armagan <sadik.armagan@arm.com>2020-11-09 08:26:22 +0000
committerSadik Armagan <sadik.armagan@arm.com>2020-11-10 15:08:17 +0000
commit8b9858d891439fd1b0710e5d245e2116a3b88d30 (patch)
tree744f81bd24a172800f2fdbfe425550a68824e978 /delegate/src/test/ComparisonTest.cpp
parent21a94ff6212aac28398f90373e873d43390070a3 (diff)
downloadarmnn-8b9858d891439fd1b0710e5d245e2116a3b88d30.tar.gz
IVGCVSW-5380 'TfLiteDelegate: Implement the Comparison operators'
* Implemented Comparison Operators * Added unit tests Signed-off-by: Sadik Armagan <sadik.armagan@arm.com> Change-Id: Icdc0f7c6a286a8364a2770b26d15e8958291dc2b
Diffstat (limited to 'delegate/src/test/ComparisonTest.cpp')
-rw-r--r--delegate/src/test/ComparisonTest.cpp754
1 files changed, 754 insertions, 0 deletions
diff --git a/delegate/src/test/ComparisonTest.cpp b/delegate/src/test/ComparisonTest.cpp
new file mode 100644
index 0000000000..0826535c8f
--- /dev/null
+++ b/delegate/src/test/ComparisonTest.cpp
@@ -0,0 +1,754 @@
+//
+// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "ComparisonTestHelper.hpp"
+
+#include <armnn_delegate.hpp>
+
+#include <flatbuffers/flatbuffers.h>
+#include <tensorflow/lite/interpreter.h>
+#include <tensorflow/lite/kernels/register.h>
+#include <tensorflow/lite/model.h>
+#include <tensorflow/lite/schema/schema_generated.h>
+#include <tensorflow/lite/version.h>
+
+#include <doctest/doctest.h>
+
+namespace armnnDelegate
+{
+
+void EqualFP32Test(std::vector<armnn::BackendId>& backends)
+{
+ std::vector<int32_t> input0Shape { 2, 2, 2, 2 };
+ std::vector<int32_t> input1Shape { 2, 2, 2, 2 };
+ std::vector<int32_t> expectedOutputShape { 2, 2, 2, 2 };
+
+ std::vector<float> input0Values =
+ {
+ 1.f, 1.f, 1.f, 1.f, 5.f, 5.f, 5.f, 5.f,
+ 3.f, 3.f, 3.f, 3.f, 4.f, 4.f, 4.f, 4.f
+ };
+
+ std::vector<float> input1Values =
+ {
+ 1.f, 1.f, 1.f, 1.f, 3.f, 3.f, 3.f, 3.f,
+ 5.f, 5.f, 5.f, 5.f, 4.f, 4.f, 4.f, 4.f
+ };
+
+ std::vector<bool> expectedOutputValues =
+ {
+ 1, 1, 1, 1, 0, 0, 0, 0,
+ 0, 0, 0, 0, 1, 1, 1, 1
+ };
+
+
+ ComparisonTest<float>(tflite::BuiltinOperator_EQUAL,
+ ::tflite::TensorType_FLOAT32,
+ backends,
+ input0Shape,
+ input1Shape,
+ expectedOutputShape,
+ input0Values,
+ input1Values,
+ expectedOutputValues);
+}
+
+void EqualBroadcastTest(std::vector<armnn::BackendId>& backends)
+{
+ std::vector<int32_t> input0Shape { 1, 2, 2, 3 };
+ std::vector<int32_t> input1Shape { 1, 1, 1, 3 };
+ std::vector<int32_t> expectedOutputShape { 1, 2, 2, 3 };
+
+ std::vector<float> input0Values
+ {
+ 1.f, 2.f, 3.f, 4.f, 5.f, 6.f,
+ 7.f, 8.f, 9.f, 10.f, 11.f, 12.f
+ };
+ std::vector<float> input1Values { 4.f, 5.f, 6.f };
+ // Set output data
+ std::vector<bool> expectedOutputValues
+ {
+ 0, 0, 0, 1, 1, 1,
+ 0, 0, 0, 0, 0, 0
+ };
+ ComparisonTest<float>(tflite::BuiltinOperator_EQUAL,
+ ::tflite::TensorType_FLOAT32,
+ backends,
+ input0Shape,
+ input1Shape,
+ expectedOutputShape,
+ input0Values,
+ input1Values,
+ expectedOutputValues);
+}
+
+void EqualInt32Test(std::vector<armnn::BackendId>& backends)
+{
+ std::vector<int32_t> input0Shape { 1, 2, 2, 1 };
+ std::vector<int32_t> input1Shape { 1, 2, 2, 1 };
+ std::vector<int32_t> expectedOutputShape { 1, 2, 2, 1 };
+
+ std::vector<int32_t> input0Values = { 1, 5, 6, 4 };
+
+ std::vector<int32_t> input1Values = { 1, 3, 9, 4 };
+
+ std::vector<bool> expectedOutputValues = { 1, 0, 0, 1 };
+
+ ComparisonTest<int32_t>(tflite::BuiltinOperator_EQUAL,
+ ::tflite::TensorType_INT32,
+ backends,
+ input0Shape,
+ input1Shape,
+ expectedOutputShape,
+ input0Values,
+ input1Values,
+ expectedOutputValues);
+}
+
+void NotEqualFP32Test(std::vector<armnn::BackendId>& backends)
+{
+ std::vector<int32_t> input0Shape { 2, 2, 2, 2 };
+ std::vector<int32_t> input1Shape { 2, 2, 2, 2 };
+ std::vector<int32_t> expectedOutputShape { 2, 2, 2, 2 };
+
+ std::vector<float> input0Values =
+ {
+ 1.f, 1.f, 1.f, 1.f, 5.f, 5.f, 5.f, 5.f,
+ 3.f, 3.f, 3.f, 3.f, 4.f, 4.f, 4.f, 4.f
+ };
+
+ std::vector<float> input1Values =
+ {
+ 1.f, 1.f, 1.f, 1.f, 3.f, 3.f, 3.f, 3.f,
+ 5.f, 5.f, 5.f, 5.f, 4.f, 4.f, 4.f, 4.f
+ };
+
+ std::vector<bool> expectedOutputValues =
+ {
+ 0, 0, 0, 0, 1, 1, 1, 1,
+ 1, 1, 1, 1, 0, 0, 0, 0
+ };
+
+ ComparisonTest<float>(tflite::BuiltinOperator_NOT_EQUAL,
+ ::tflite::TensorType_FLOAT32,
+ backends,
+ input0Shape,
+ input1Shape,
+ expectedOutputShape,
+ input0Values,
+ input1Values,
+ expectedOutputValues);
+}
+
+void NotEqualBroadcastTest(std::vector<armnn::BackendId>& backends)
+{
+ std::vector<int32_t> input0Shape { 1, 2, 2, 3 };
+ std::vector<int32_t> input1Shape { 1, 1, 1, 3 };
+ std::vector<int32_t> expectedOutputShape { 1, 2, 2, 3 };
+
+ std::vector<float> input0Values
+ {
+ 1.f, 2.f, 3.f, 4.f, 5.f, 6.f,
+ 7.f, 8.f, 9.f, 10.f, 11.f, 12.f
+ };
+ std::vector<float> input1Values { 4.f, 5.f, 6.f };
+ // Set output data
+ std::vector<bool> expectedOutputValues
+ {
+ 1, 1, 1, 0, 0, 0,
+ 1, 1, 1, 1, 1, 1
+ };
+ ComparisonTest<float>(tflite::BuiltinOperator_NOT_EQUAL,
+ ::tflite::TensorType_FLOAT32,
+ backends,
+ input0Shape,
+ input1Shape,
+ expectedOutputShape,
+ input0Values,
+ input1Values,
+ expectedOutputValues);
+}
+
+void NotEqualInt32Test(std::vector<armnn::BackendId>& backends)
+{
+ std::vector<int32_t> input0Shape { 1, 2, 2, 1 };
+ std::vector<int32_t> input1Shape { 1, 2, 2, 1 };
+ std::vector<int32_t> expectedOutputShape { 1, 2, 2, 1 };
+
+ std::vector<int32_t> input0Values = { 1, 5, 6, 4 };
+
+ std::vector<int32_t> input1Values = { 1, 3, 9, 4 };
+
+ std::vector<bool> expectedOutputValues = { 0, 1, 1, 0 };
+
+ ComparisonTest<int32_t>(tflite::BuiltinOperator_NOT_EQUAL,
+ ::tflite::TensorType_INT32,
+ backends,
+ input0Shape,
+ input1Shape,
+ expectedOutputShape,
+ input0Values,
+ input1Values,
+ expectedOutputValues);
+}
+
+void GreaterFP32Test(std::vector<armnn::BackendId>& backends)
+{
+ std::vector<int32_t> input0Shape { 1, 2, 2, 1 };
+ std::vector<int32_t> input1Shape { 1, 2, 2, 1 };
+ std::vector<int32_t> expectedOutputShape { 1, 2, 2, 1 };
+
+ std::vector<float> input0Values = { 1, 5, 6, 4 };
+
+ std::vector<float> input1Values = { 1, 3, 9, 4 };
+
+ std::vector<bool> expectedOutputValues = { 0, 1, 0, 0 };
+
+ ComparisonTest<float>(tflite::BuiltinOperator_GREATER,
+ ::tflite::TensorType_FLOAT32,
+ backends,
+ input0Shape,
+ input1Shape,
+ expectedOutputShape,
+ input0Values,
+ input1Values,
+ expectedOutputValues);
+}
+
+void GreaterBroadcastTest(std::vector<armnn::BackendId>& backends)
+{
+ std::vector<int32_t> input0Shape { 1, 2, 2, 3 };
+ std::vector<int32_t> input1Shape { 1, 1, 1, 3 };
+ std::vector<int32_t> expectedOutputShape { 1, 2, 2, 3 };
+
+ std::vector<float> input0Values
+ {
+ 1.f, 2.f, 3.f, 4.f, 5.f, 6.f,
+ 7.f, 8.f, 9.f, 10.f, 11.f, 12.f
+ };
+ std::vector<float> input1Values { 4.f, 5.f, 6.f };
+
+ std::vector<bool> expectedOutputValues
+ {
+ 0, 0, 0, 0, 0, 0,
+ 1, 1, 1, 1, 1, 1
+ };
+ ComparisonTest<float>(tflite::BuiltinOperator_GREATER,
+ ::tflite::TensorType_FLOAT32,
+ backends,
+ input0Shape,
+ input1Shape,
+ expectedOutputShape,
+ input0Values,
+ input1Values,
+ expectedOutputValues);
+}
+
+void GreaterInt32Test(std::vector<armnn::BackendId>& backends)
+{
+ std::vector<int32_t> input0Shape { 1, 2, 2, 1 };
+ std::vector<int32_t> input1Shape { 1, 2, 2, 1 };
+ std::vector<int32_t> expectedOutputShape { 1, 2, 2, 1 };
+
+ std::vector<int32_t> input0Values = { 1, 5, 6, 4 };
+
+ std::vector<int32_t> input1Values = { 1, 3, 9, 4 };
+
+ std::vector<bool> expectedOutputValues = { 0, 1, 0, 0 };
+
+ ComparisonTest<int32_t>(tflite::BuiltinOperator_GREATER,
+ ::tflite::TensorType_INT32,
+ backends,
+ input0Shape,
+ input1Shape,
+ expectedOutputShape,
+ input0Values,
+ input1Values,
+ expectedOutputValues);
+}
+
+void GreaterEqualFP32Test(std::vector<armnn::BackendId>& backends)
+{
+ std::vector<int32_t> input0Shape { 1, 2, 2, 1 };
+ std::vector<int32_t> input1Shape { 1, 2, 2, 1 };
+ std::vector<int32_t> expectedOutputShape { 1, 2, 2, 1 };
+
+ std::vector<float> input0Values = { 1.f, 5.f, 6.f, 4.f };
+
+ std::vector<float> input1Values = { 1.f, 3.f, 9.f, 4.f };
+
+ std::vector<bool> expectedOutputValues = { true, true, false, true };
+
+ ComparisonTest<float>(tflite::BuiltinOperator_GREATER_EQUAL,
+ ::tflite::TensorType_FLOAT32,
+ backends,
+ input0Shape,
+ input1Shape,
+ expectedOutputShape,
+ input0Values,
+ input1Values,
+ expectedOutputValues);
+}
+
+void GreaterEqualBroadcastTest(std::vector<armnn::BackendId>& backends)
+{
+ std::vector<int32_t> input0Shape { 1, 2, 2, 3 };
+ std::vector<int32_t> input1Shape { 1, 1, 1, 3 };
+ std::vector<int32_t> expectedOutputShape { 1, 2, 2, 3 };
+
+ std::vector<float> input0Values
+ {
+ 1.f, 2.f, 3.f, 4.f, 5.f, 6.f,
+ 7.f, 8.f, 9.f, 10.f, 11.f, 12.f
+ };
+ std::vector<float> input1Values { 4.f, 5.f, 6.f };
+ // Set output data
+ std::vector<bool> expectedOutputValues
+ {
+ 0, 0, 0, 1, 1, 1,
+ 1, 1, 1, 1, 1, 1
+ };
+
+ ComparisonTest<float>(tflite::BuiltinOperator_GREATER_EQUAL,
+ ::tflite::TensorType_FLOAT32,
+ backends,
+ input0Shape,
+ input1Shape,
+ expectedOutputShape,
+ input0Values,
+ input1Values,
+ expectedOutputValues);
+}
+
+void GreaterEqualInt32Test(std::vector<armnn::BackendId>& backends)
+{
+ std::vector<int32_t> input0Shape { 1, 2, 2, 1 };
+ std::vector<int32_t> input1Shape { 1, 2, 2, 1 };
+ std::vector<int32_t> expectedOutputShape { 1, 2, 2, 1 };
+
+ std::vector<int32_t> input0Values = { 1, 5, 6, 3 };
+
+ std::vector<int32_t> input1Values = { 1, 3, 9, 4 };
+
+ std::vector<bool> expectedOutputValues = { 1, 1, 0, 0 };
+
+ ComparisonTest<int32_t>(tflite::BuiltinOperator_GREATER_EQUAL,
+ ::tflite::TensorType_INT32,
+ backends,
+ input0Shape,
+ input1Shape,
+ expectedOutputShape,
+ input0Values,
+ input1Values,
+ expectedOutputValues);
+}
+
+void LessFP32Test(std::vector<armnn::BackendId>& backends)
+{
+ std::vector<int32_t> input0Shape { 1, 2, 2, 1 };
+ std::vector<int32_t> input1Shape { 1, 2, 2, 1 };
+ std::vector<int32_t> expectedOutputShape { 1, 2, 2, 1 };
+
+ std::vector<float> input0Values = { 1.f, 5.f, 6.f, 4.f };
+
+ std::vector<float> input1Values = { 1.f, 3.f, 9.f, 4.f };
+
+ std::vector<bool> expectedOutputValues = { false, false, true, false };
+
+ ComparisonTest<float>(tflite::BuiltinOperator_LESS,
+ ::tflite::TensorType_FLOAT32,
+ backends,
+ input0Shape,
+ input1Shape,
+ expectedOutputShape,
+ input0Values,
+ input1Values,
+ expectedOutputValues);
+}
+
+void LessBroadcastTest(std::vector<armnn::BackendId>& backends)
+{
+ std::vector<int32_t> input0Shape { 1, 2, 2, 3 };
+ std::vector<int32_t> input1Shape { 1, 1, 1, 3 };
+ std::vector<int32_t> expectedOutputShape { 1, 2, 2, 3 };
+
+ std::vector<float> input0Values
+ {
+ 1.f, 2.f, 3.f, 4.f, 5.f, 6.f,
+ 7.f, 8.f, 9.f, 10.f, 11.f, 12.f
+ };
+ std::vector<float> input1Values { 4.f, 5.f, 6.f };
+
+ std::vector<bool> expectedOutputValues
+ {
+ true, true, true, false, false, false,
+ false, false, false, false, false, false
+ };
+
+ ComparisonTest<float>(tflite::BuiltinOperator_LESS,
+ ::tflite::TensorType_FLOAT32,
+ backends,
+ input0Shape,
+ input1Shape,
+ expectedOutputShape,
+ input0Values,
+ input1Values,
+ expectedOutputValues);
+}
+
+void LessInt32Test(std::vector<armnn::BackendId>& backends)
+{
+ std::vector<int32_t> input0Shape { 1, 2, 2, 1 };
+ std::vector<int32_t> input1Shape { 1, 2, 2, 1 };
+ std::vector<int32_t> expectedOutputShape { 1, 2, 2, 1 };
+
+ std::vector<int32_t> input0Values = { 1, 5, 6, 3 };
+
+ std::vector<int32_t> input1Values = { 1, 3, 9, 4 };
+
+ std::vector<bool> expectedOutputValues = { false, false, true, true };
+
+ ComparisonTest<int32_t>(tflite::BuiltinOperator_LESS,
+ ::tflite::TensorType_INT32,
+ backends,
+ input0Shape,
+ input1Shape,
+ expectedOutputShape,
+ input0Values,
+ input1Values,
+ expectedOutputValues);
+}
+
+void LessEqualFP32Test(std::vector<armnn::BackendId>& backends)
+{
+ std::vector<int32_t> input0Shape { 1, 2, 2, 1 };
+ std::vector<int32_t> input1Shape { 1, 2, 2, 1 };
+ std::vector<int32_t> expectedOutputShape { 1, 2, 2, 1 };
+
+ std::vector<float> input0Values = { 1.f, 5.f, 6.f, 4.f };
+
+ std::vector<float> input1Values = { 1.f, 3.f, 9.f, 4.f };
+
+ std::vector<bool> expectedOutputValues = { true, false, true, true };
+
+ ComparisonTest<float>(tflite::BuiltinOperator_LESS_EQUAL,
+ ::tflite::TensorType_FLOAT32,
+ backends,
+ input0Shape,
+ input1Shape,
+ expectedOutputShape,
+ input0Values,
+ input1Values,
+ expectedOutputValues);
+}
+
+void LessEqualBroadcastTest(std::vector<armnn::BackendId>& backends)
+{
+ std::vector<int32_t> input0Shape { 1, 2, 2, 3 };
+ std::vector<int32_t> input1Shape { 1, 1, 1, 3 };
+ std::vector<int32_t> expectedOutputShape { 1, 2, 2, 3 };
+
+ std::vector<float> input0Values
+ {
+ 1.f, 2.f, 3.f, 4.f, 5.f, 6.f,
+ 7.f, 8.f, 9.f, 10.f, 11.f, 12.f
+ };
+ std::vector<float> input1Values { 4.f, 5.f, 6.f };
+
+ std::vector<bool> expectedOutputValues
+ {
+ true, true, true, true, true, true,
+ false, false, false, false, false, false
+ };
+
+ ComparisonTest<float>(tflite::BuiltinOperator_LESS_EQUAL,
+ ::tflite::TensorType_FLOAT32,
+ backends,
+ input0Shape,
+ input1Shape,
+ expectedOutputShape,
+ input0Values,
+ input1Values,
+ expectedOutputValues);
+}
+
+void LessEqualInt32Test(std::vector<armnn::BackendId>& backends)
+{
+ std::vector<int32_t> input0Shape { 1, 2, 2, 1 };
+ std::vector<int32_t> input1Shape { 1, 2, 2, 1 };
+ std::vector<int32_t> expectedOutputShape { 1, 2, 2, 1 };
+
+ std::vector<int32_t> input0Values = { 1, 5, 6, 3 };
+
+ std::vector<int32_t> input1Values = { 1, 3, 9, 4 };
+
+ std::vector<bool> expectedOutputValues = { true, false, true, true };
+
+ ComparisonTest<int32_t>(tflite::BuiltinOperator_LESS_EQUAL,
+ ::tflite::TensorType_INT32,
+ backends,
+ input0Shape,
+ input1Shape,
+ expectedOutputShape,
+ input0Values,
+ input1Values,
+ expectedOutputValues);
+}
+
+TEST_SUITE("ComparisonTest")
+{
+
+TEST_CASE ("EQUAL_FP32_GpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc,
+ armnn::Compute::CpuRef };
+ EqualFP32Test(backends);
+}
+
+TEST_CASE ("EQUAL_FP32_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc,
+ armnn::Compute::CpuRef };
+ EqualFP32Test(backends);
+}
+
+TEST_CASE ("EQUAL_Broadcast_GpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc,
+ armnn::Compute::CpuRef };
+ EqualBroadcastTest(backends);
+}
+
+TEST_CASE ("EQUAL_Broadcast_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc,
+ armnn::Compute::CpuRef };
+ EqualBroadcastTest(backends);
+}
+
+TEST_CASE ("EQUAL_INT32_GpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc,
+ armnn::Compute::CpuRef };
+ EqualInt32Test(backends);
+}
+
+TEST_CASE ("EQUAL_INT32_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc,
+ armnn::Compute::CpuRef };
+ EqualInt32Test(backends);
+}
+
+TEST_CASE ("NOT_EQUAL_FP32_GpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc,
+ armnn::Compute::CpuRef };
+ NotEqualFP32Test(backends);
+}
+
+TEST_CASE ("NOT_EQUAL_FP32_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc,
+ armnn::Compute::CpuRef };
+ NotEqualFP32Test(backends);
+}
+
+TEST_CASE ("NOT_EQUAL_Broadcast_GpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc,
+ armnn::Compute::CpuRef };
+ NotEqualBroadcastTest(backends);
+}
+
+TEST_CASE ("NOT_EQUAL_Broadcast_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc,
+ armnn::Compute::CpuRef };
+ NotEqualBroadcastTest(backends);
+}
+
+TEST_CASE ("NOT_EQUAL_INT32_GpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc,
+ armnn::Compute::CpuRef };
+ NotEqualInt32Test(backends);
+}
+
+TEST_CASE ("NOT_EQUAL_INT32_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc,
+ armnn::Compute::CpuRef };
+ NotEqualInt32Test(backends);
+}
+
+TEST_CASE ("GREATER_FP32_GpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc,
+ armnn::Compute::CpuRef };
+ GreaterFP32Test(backends);
+}
+
+TEST_CASE ("GREATER_FP32_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc,
+ armnn::Compute::CpuRef };
+ GreaterFP32Test(backends);
+}
+
+TEST_CASE ("GREATER_Broadcast_GpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc,
+ armnn::Compute::CpuRef };
+ GreaterBroadcastTest(backends);
+}
+
+TEST_CASE ("GREATER_Broadcast_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc,
+ armnn::Compute::CpuRef };
+ GreaterBroadcastTest(backends);
+}
+
+TEST_CASE ("GREATER_INT32_GpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc,
+ armnn::Compute::CpuRef };
+ GreaterInt32Test(backends);
+}
+
+TEST_CASE ("GREATER_INT32_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc,
+ armnn::Compute::CpuRef };
+ GreaterInt32Test(backends);
+}
+TEST_CASE ("GREATER_EQUAL_FP32_GpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc,
+ armnn::Compute::CpuRef };
+ GreaterEqualFP32Test(backends);
+}
+
+TEST_CASE ("GREATER_EQUAL_FP32_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc,
+ armnn::Compute::CpuRef };
+ GreaterEqualFP32Test(backends);
+}
+
+TEST_CASE ("GREATER_EQUAL_Broadcast_GpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc,
+ armnn::Compute::CpuRef };
+ GreaterEqualBroadcastTest(backends);
+}
+
+TEST_CASE ("GREATER_EQUAL_Broadcast_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc,
+ armnn::Compute::CpuRef };
+ GreaterEqualBroadcastTest(backends);
+}
+
+TEST_CASE ("GREATER_EQUAL_INT32_GpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc,
+ armnn::Compute::CpuRef };
+ GreaterEqualInt32Test(backends);
+}
+
+TEST_CASE ("GREATER_EQUAL_INT32_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc,
+ armnn::Compute::CpuRef };
+ GreaterEqualInt32Test(backends);
+}
+TEST_CASE ("LESS_FP32_GpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc,
+ armnn::Compute::CpuRef };
+ LessFP32Test(backends);
+}
+
+TEST_CASE ("LESS_FP32_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc,
+ armnn::Compute::CpuRef };
+ LessFP32Test(backends);
+}
+
+TEST_CASE ("LESS_Broadcast_GpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc,
+ armnn::Compute::CpuRef };
+ LessBroadcastTest(backends);
+}
+
+TEST_CASE ("LESS_Broadcast_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc,
+ armnn::Compute::CpuRef };
+ LessBroadcastTest(backends);
+}
+
+TEST_CASE ("LESS_INT32_GpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc,
+ armnn::Compute::CpuRef };
+ LessInt32Test(backends);
+}
+
+TEST_CASE ("LESS_INT32_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc,
+ armnn::Compute::CpuRef };
+ LessInt32Test(backends);
+}
+TEST_CASE ("LESS_EQUAL_FP32_GpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc,
+ armnn::Compute::CpuRef };
+ LessEqualFP32Test(backends);
+}
+
+TEST_CASE ("LESS_EQUAL_FP32_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc,
+ armnn::Compute::CpuRef };
+ LessEqualFP32Test(backends);
+}
+
+TEST_CASE ("LESS_EQUAL_Broadcast_GpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc,
+ armnn::Compute::CpuRef };
+ LessEqualBroadcastTest(backends);
+}
+
+TEST_CASE ("LESS_EQUAL_Broadcast_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc,
+ armnn::Compute::CpuRef };
+ LessEqualBroadcastTest(backends);
+}
+
+TEST_CASE ("LESS_EQUAL_INT32_GpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc,
+ armnn::Compute::CpuRef };
+ LessEqualInt32Test(backends);
+}
+
+TEST_CASE ("LESS_EQUAL_INT32_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc,
+ armnn::Compute::CpuRef };
+ LessEqualInt32Test(backends);
+}
+
+} // End TEST_SUITE("ComparisonTest")
+
+} // namespace armnnDelegate \ No newline at end of file