--- /dev/null
+//
+// 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
--- /dev/null
+//
+// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#pragma once
+
+#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
+{
+
+std::vector<char> CreateComparisonTfLiteModel(tflite::BuiltinOperator comparisonOperatorCode,
+ tflite::TensorType tensorType,
+ const std::vector <int32_t>& input0TensorShape,
+ const std::vector <int32_t>& input1TensorShape,
+ const std::vector <int32_t>& outputTensorShape,
+ float quantScale = 1.0f,
+ int quantOffset = 0)
+{
+ using namespace tflite;
+ flatbuffers::FlatBufferBuilder flatBufferBuilder;
+
+ std::vector<flatbuffers::Offset<tflite::Buffer>> buffers;
+ buffers.push_back(CreateBuffer(flatBufferBuilder, flatBufferBuilder.CreateVector({})));
+
+ auto quantizationParameters =
+ CreateQuantizationParameters(flatBufferBuilder,
+ 0,
+ 0,
+ flatBufferBuilder.CreateVector<float>({ quantScale }),
+ flatBufferBuilder.CreateVector<int64_t>({ quantOffset }));
+
+ std::array<flatbuffers::Offset<Tensor>, 3> tensors;
+ tensors[0] = CreateTensor(flatBufferBuilder,
+ flatBufferBuilder.CreateVector<int32_t>(input0TensorShape.data(),
+ input0TensorShape.size()),
+ tensorType,
+ 0,
+ flatBufferBuilder.CreateString("input_0"),
+ quantizationParameters);
+ tensors[1] = CreateTensor(flatBufferBuilder,
+ flatBufferBuilder.CreateVector<int32_t>(input1TensorShape.data(),
+ input1TensorShape.size()),
+ tensorType,
+ 0,
+ flatBufferBuilder.CreateString("input_1"),
+ quantizationParameters);
+ tensors[2] = CreateTensor(flatBufferBuilder,
+ flatBufferBuilder.CreateVector<int32_t>(outputTensorShape.data(),
+ outputTensorShape.size()),
+ ::tflite::TensorType_BOOL,
+ 0);
+
+ // create operator
+ tflite::BuiltinOptions operatorBuiltinOptionsType = BuiltinOptions_EqualOptions;;
+ flatbuffers::Offset<void> operatorBuiltinOptions = CreateEqualOptions(flatBufferBuilder).Union();
+ switch (comparisonOperatorCode)
+ {
+ case BuiltinOperator_EQUAL:
+ {
+ operatorBuiltinOptionsType = BuiltinOptions_EqualOptions;
+ operatorBuiltinOptions = CreateEqualOptions(flatBufferBuilder).Union();
+ break;
+ }
+ case BuiltinOperator_NOT_EQUAL:
+ {
+ operatorBuiltinOptionsType = BuiltinOptions_NotEqualOptions;
+ operatorBuiltinOptions = CreateNotEqualOptions(flatBufferBuilder).Union();
+ break;
+ }
+ case BuiltinOperator_GREATER:
+ {
+ operatorBuiltinOptionsType = BuiltinOptions_GreaterOptions;
+ operatorBuiltinOptions = CreateGreaterOptions(flatBufferBuilder).Union();
+ break;
+ }
+ case BuiltinOperator_GREATER_EQUAL:
+ {
+ operatorBuiltinOptionsType = BuiltinOptions_GreaterEqualOptions;
+ operatorBuiltinOptions = CreateGreaterEqualOptions(flatBufferBuilder).Union();
+ break;
+ }
+ case BuiltinOperator_LESS:
+ {
+ operatorBuiltinOptionsType = BuiltinOptions_LessOptions;
+ operatorBuiltinOptions = CreateLessOptions(flatBufferBuilder).Union();
+ break;
+ }
+ case BuiltinOperator_LESS_EQUAL:
+ {
+ operatorBuiltinOptionsType = BuiltinOptions_LessEqualOptions;
+ operatorBuiltinOptions = CreateLessEqualOptions(flatBufferBuilder).Union();
+ break;
+ }
+ default:
+ break;
+ }
+ const std::vector<int32_t> operatorInputs{ {0, 1} };
+ const std::vector<int32_t> operatorOutputs{{2}};
+ flatbuffers::Offset <Operator> comparisonOperator =
+ CreateOperator(flatBufferBuilder,
+ 0,
+ flatBufferBuilder.CreateVector<int32_t>(operatorInputs.data(), operatorInputs.size()),
+ flatBufferBuilder.CreateVector<int32_t>(operatorOutputs.data(), operatorOutputs.size()),
+ operatorBuiltinOptionsType,
+ operatorBuiltinOptions);
+
+ const std::vector<int> subgraphInputs{ {0, 1} };
+ const std::vector<int> subgraphOutputs{{2}};
+ flatbuffers::Offset <SubGraph> subgraph =
+ CreateSubGraph(flatBufferBuilder,
+ flatBufferBuilder.CreateVector(tensors.data(), tensors.size()),
+ flatBufferBuilder.CreateVector<int32_t>(subgraphInputs.data(), subgraphInputs.size()),
+ flatBufferBuilder.CreateVector<int32_t>(subgraphOutputs.data(), subgraphOutputs.size()),
+ flatBufferBuilder.CreateVector(&comparisonOperator, 1));
+
+ flatbuffers::Offset <flatbuffers::String> modelDescription =
+ flatBufferBuilder.CreateString("ArmnnDelegate: Comparison Operator Model");
+ flatbuffers::Offset <OperatorCode> operatorCode = CreateOperatorCode(flatBufferBuilder, comparisonOperatorCode);
+
+ flatbuffers::Offset <Model> flatbufferModel =
+ CreateModel(flatBufferBuilder,
+ TFLITE_SCHEMA_VERSION,
+ flatBufferBuilder.CreateVector(&operatorCode, 1),
+ flatBufferBuilder.CreateVector(&subgraph, 1),
+ modelDescription,
+ flatBufferBuilder.CreateVector(buffers.data(), buffers.size()));
+
+ flatBufferBuilder.Finish(flatbufferModel);
+
+ return std::vector<char>(flatBufferBuilder.GetBufferPointer(),
+ flatBufferBuilder.GetBufferPointer() + flatBufferBuilder.GetSize());
+}
+
+template <typename T>
+void ComparisonTest(tflite::BuiltinOperator comparisonOperatorCode,
+ tflite::TensorType tensorType,
+ std::vector<armnn::BackendId>& backends,
+ std::vector<int32_t>& input0Shape,
+ std::vector<int32_t>& input1Shape,
+ std::vector<int32_t>& outputShape,
+ std::vector<T>& input0Values,
+ std::vector<T>& input1Values,
+ std::vector<bool>& expectedOutputValues,
+ float quantScale = 1.0f,
+ int quantOffset = 0)
+{
+ using namespace tflite;
+ std::vector<char> modelBuffer = CreateComparisonTfLiteModel(comparisonOperatorCode,
+ tensorType,
+ input0Shape,
+ input1Shape,
+ outputShape,
+ quantScale,
+ quantOffset);
+
+ const Model* tfLiteModel = GetModel(modelBuffer.data());
+ // Create TfLite Interpreters
+ std::unique_ptr<Interpreter> armnnDelegateInterpreter;
+ CHECK(InterpreterBuilder(tfLiteModel, ::tflite::ops::builtin::BuiltinOpResolver())
+ (&armnnDelegateInterpreter) == kTfLiteOk);
+ CHECK(armnnDelegateInterpreter != nullptr);
+ CHECK(armnnDelegateInterpreter->AllocateTensors() == kTfLiteOk);
+
+ std::unique_ptr<Interpreter> tfLiteInterpreter;
+ CHECK(InterpreterBuilder(tfLiteModel, ::tflite::ops::builtin::BuiltinOpResolver())
+ (&tfLiteInterpreter) == kTfLiteOk);
+ CHECK(tfLiteInterpreter != nullptr);
+ CHECK(tfLiteInterpreter->AllocateTensors() == kTfLiteOk);
+
+ // Create the ArmNN Delegate
+ armnnDelegate::DelegateOptions delegateOptions(backends);
+ std::unique_ptr<TfLiteDelegate, decltype(&armnnDelegate::TfLiteArmnnDelegateDelete)>
+ theArmnnDelegate(armnnDelegate::TfLiteArmnnDelegateCreate(delegateOptions),
+ armnnDelegate::TfLiteArmnnDelegateDelete);
+ CHECK(theArmnnDelegate != nullptr);
+ // Modify armnnDelegateInterpreter to use armnnDelegate
+ CHECK(armnnDelegateInterpreter->ModifyGraphWithDelegate(theArmnnDelegate.get()) == kTfLiteOk);
+
+ // Set input data
+ auto tfLiteDelegateInput0Id = tfLiteInterpreter->inputs()[0];
+ auto tfLiteDelageInput0Data = tfLiteInterpreter->typed_tensor<T>(tfLiteDelegateInput0Id);
+ for (unsigned int i = 0; i < input0Values.size(); ++i)
+ {
+ tfLiteDelageInput0Data[i] = input0Values[i];
+ }
+
+ auto tfLiteDelegateInput1Id = tfLiteInterpreter->inputs()[1];
+ auto tfLiteDelageInput1Data = tfLiteInterpreter->typed_tensor<T>(tfLiteDelegateInput1Id);
+ for (unsigned int i = 0; i < input1Values.size(); ++i)
+ {
+ tfLiteDelageInput1Data[i] = input1Values[i];
+ }
+
+ auto armnnDelegateInput0Id = armnnDelegateInterpreter->inputs()[0];
+ auto armnnDelegateInput0Data = armnnDelegateInterpreter->typed_tensor<T>(armnnDelegateInput0Id);
+ for (unsigned int i = 0; i < input0Values.size(); ++i)
+ {
+ armnnDelegateInput0Data[i] = input0Values[i];
+ }
+
+ auto armnnDelegateInput1Id = armnnDelegateInterpreter->inputs()[1];
+ auto armnnDelegateInput1Data = armnnDelegateInterpreter->typed_tensor<T>(armnnDelegateInput1Id);
+ for (unsigned int i = 0; i < input1Values.size(); ++i)
+ {
+ armnnDelegateInput1Data[i] = input1Values[i];
+ }
+
+ // Run EnqueWorkload
+ CHECK(tfLiteInterpreter->Invoke() == kTfLiteOk);
+ CHECK(armnnDelegateInterpreter->Invoke() == kTfLiteOk);
+ // Compare output data
+ auto tfLiteDelegateOutputId = tfLiteInterpreter->outputs()[0];
+ auto tfLiteDelageOutputData = tfLiteInterpreter->typed_tensor<bool>(tfLiteDelegateOutputId);
+ auto armnnDelegateOutputId = armnnDelegateInterpreter->outputs()[0];
+ auto armnnDelegateOutputData = armnnDelegateInterpreter->typed_tensor<bool>(armnnDelegateOutputId);
+
+ for (size_t i = 0; i < expectedOutputValues.size(); i++)
+ {
+ CHECK(expectedOutputValues[i] == armnnDelegateOutputData[i]);
+ CHECK(tfLiteDelageOutputData[i] == expectedOutputValues[i]);
+ CHECK(tfLiteDelageOutputData[i] == armnnDelegateOutputData[i]);
+ }
+}
+
+} // anonymous namespace
\ No newline at end of file