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-rw-r--r--delegate/src/test/ControlTest.cpp420
1 files changed, 420 insertions, 0 deletions
diff --git a/delegate/src/test/ControlTest.cpp b/delegate/src/test/ControlTest.cpp
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+++ b/delegate/src/test/ControlTest.cpp
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+//
+// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "ControlTestHelper.hpp"
+
+#include <armnn_delegate.hpp>
+
+#include <flatbuffers/flatbuffers.h>
+#include <tensorflow/lite/schema/schema_generated.h>
+
+#include <doctest/doctest.h>
+
+namespace armnnDelegate
+{
+
+// CONCATENATION Operator
+void ConcatUint8TwoInputsTest(std::vector<armnn::BackendId>& backends)
+{
+ std::vector<int32_t> inputShape { 2, 2 };
+ std::vector<int32_t> expectedOutputShape { 4, 2 };
+
+ // Set input and output data
+ std::vector<std::vector<uint8_t>> inputValues;
+ std::vector<uint8_t> inputValue1 { 0, 1, 2, 3 }; // Lower bounds
+ std::vector<uint8_t> inputValue2 { 252, 253, 254, 255 }; // Upper bounds
+ inputValues.push_back(inputValue1);
+ inputValues.push_back(inputValue2);
+
+ std::vector<uint8_t> expectedOutputValues { 0, 1, 2, 3, 252, 253, 254, 255 };
+
+ ConcatenationTest<uint8_t>(tflite::BuiltinOperator_CONCATENATION,
+ ::tflite::TensorType_UINT8,
+ backends,
+ inputShape,
+ expectedOutputShape,
+ inputValues,
+ expectedOutputValues);
+}
+
+void ConcatInt16TwoInputsTest(std::vector<armnn::BackendId>& backends)
+{
+ std::vector<int32_t> inputShape { 2, 2 };
+ std::vector<int32_t> expectedOutputShape { 4, 2 };
+
+ std::vector<std::vector<int16_t>> inputValues;
+ std::vector<int16_t> inputValue1 { -32768, -16384, -1, 0 };
+ std::vector<int16_t> inputValue2 { 1, 2, 16384, 32767 };
+ inputValues.push_back(inputValue1);
+ inputValues.push_back(inputValue2);
+
+ std::vector<int16_t> expectedOutputValues { -32768, -16384, -1, 0, 1, 2, 16384, 32767};
+
+ ConcatenationTest<int16_t>(tflite::BuiltinOperator_CONCATENATION,
+ ::tflite::TensorType_INT16,
+ backends,
+ inputShape,
+ expectedOutputShape,
+ inputValues,
+ expectedOutputValues);
+}
+
+void ConcatFloat32TwoInputsTest(std::vector<armnn::BackendId>& backends)
+{
+ std::vector<int32_t> inputShape { 2, 2 };
+ std::vector<int32_t> expectedOutputShape { 4, 2 };
+
+ std::vector<std::vector<float>> inputValues;
+ std::vector<float> inputValue1 { -127.f, -126.f, -1.f, 0.f };
+ std::vector<float> inputValue2 { 1.f, 2.f, 126.f, 127.f };
+ inputValues.push_back(inputValue1);
+ inputValues.push_back(inputValue2);
+
+ std::vector<float> expectedOutputValues { -127.f, -126.f, -1.f, 0.f, 1.f, 2.f, 126.f, 127.f };
+
+ ConcatenationTest<float>(tflite::BuiltinOperator_CONCATENATION,
+ ::tflite::TensorType_FLOAT32,
+ backends,
+ inputShape,
+ expectedOutputShape,
+ inputValues,
+ expectedOutputValues);
+}
+
+void ConcatThreeInputsTest(std::vector<armnn::BackendId>& backends)
+{
+ std::vector<int32_t> inputShape { 2, 2 };
+ std::vector<int32_t> expectedOutputShape { 6, 2 };
+
+ std::vector<std::vector<uint8_t>> inputValues;
+ std::vector<uint8_t> inputValue1 { 0, 1, 2, 3 };
+ std::vector<uint8_t> inputValue2 { 125, 126, 127, 128 };
+ std::vector<uint8_t> inputValue3 { 252, 253, 254, 255 };
+ inputValues.push_back(inputValue1);
+ inputValues.push_back(inputValue2);
+ inputValues.push_back(inputValue3);
+
+ std::vector<uint8_t> expectedOutputValues { 0, 1, 2, 3, 125, 126, 127, 128, 252, 253, 254, 255 };
+
+ ConcatenationTest<uint8_t>(tflite::BuiltinOperator_CONCATENATION,
+ ::tflite::TensorType_UINT8,
+ backends,
+ inputShape,
+ expectedOutputShape,
+ inputValues,
+ expectedOutputValues);
+}
+
+void ConcatAxisTest(std::vector<armnn::BackendId>& backends)
+{
+ std::vector<int32_t> inputShape { 1, 2, 2 };
+ std::vector<int32_t> expectedOutputShape { 1, 2, 4 };
+
+ std::vector<std::vector<uint8_t>> inputValues;
+ std::vector<uint8_t> inputValue1 { 0, 1, 2, 3 };
+ std::vector<uint8_t> inputValue3 { 252, 253, 254, 255 };
+ inputValues.push_back(inputValue1);
+ inputValues.push_back(inputValue3);
+
+ std::vector<uint8_t> expectedOutputValues { 0, 1, 252, 253, 2, 3, 254, 255 };
+
+ ConcatenationTest<uint8_t>(tflite::BuiltinOperator_CONCATENATION,
+ ::tflite::TensorType_UINT8,
+ backends,
+ inputShape,
+ expectedOutputShape,
+ inputValues,
+ expectedOutputValues,
+ 2);
+}
+
+// MEAN Operator
+void MeanUint8KeepDimsTest(std::vector<armnn::BackendId>& backends)
+{
+ std::vector<int32_t> input0Shape { 1, 3 };
+ std::vector<int32_t> input1Shape { 1 };
+ std::vector<int32_t> expectedOutputShape { 1, 1 };
+
+ std::vector<uint8_t> input0Values { 5, 10, 15 }; // Inputs
+ std::vector<int32_t> input1Values { 1 }; // Axis
+
+ std::vector<uint8_t> expectedOutputValues { 10 };
+
+ MeanTest<uint8_t>(tflite::BuiltinOperator_MEAN,
+ ::tflite::TensorType_UINT8,
+ backends,
+ input0Shape,
+ input1Shape,
+ expectedOutputShape,
+ input0Values,
+ input1Values,
+ expectedOutputValues,
+ true);
+}
+
+void MeanUint8Test(std::vector<armnn::BackendId>& backends)
+{
+ std::vector<int32_t> input0Shape { 1, 2, 2 };
+ std::vector<int32_t> input1Shape { 1 };
+ std::vector<int32_t> expectedOutputShape { 2, 2 };
+
+ std::vector<uint8_t> input0Values { 5, 10, 15, 20 }; // Inputs
+ std::vector<int32_t> input1Values { 0 }; // Axis
+
+ std::vector<uint8_t> expectedOutputValues { 5, 10, 15, 20 };
+
+ MeanTest<uint8_t>(tflite::BuiltinOperator_MEAN,
+ ::tflite::TensorType_UINT8,
+ backends,
+ input0Shape,
+ input1Shape,
+ expectedOutputShape,
+ input0Values,
+ input1Values,
+ expectedOutputValues,
+ false);
+}
+
+void MeanFp32KeepDimsTest(std::vector<armnn::BackendId>& backends)
+{
+ std::vector<int32_t> input0Shape { 1, 2, 2 };
+ std::vector<int32_t> input1Shape { 1 };
+ std::vector<int32_t> expectedOutputShape { 1, 1, 2 };
+
+ std::vector<float> input0Values { 1.0f, 1.5f, 2.0f, 2.5f }; // Inputs
+ std::vector<int32_t> input1Values { 1 }; // Axis
+
+ std::vector<float> expectedOutputValues { 1.5f, 2.0f };
+
+ MeanTest<float>(tflite::BuiltinOperator_MEAN,
+ ::tflite::TensorType_FLOAT32,
+ backends,
+ input0Shape,
+ input1Shape,
+ expectedOutputShape,
+ input0Values,
+ input1Values,
+ expectedOutputValues,
+ true);
+}
+
+void MeanFp32Test(std::vector<armnn::BackendId>& backends)
+{
+ std::vector<int32_t> input0Shape { 1, 2, 2, 1 };
+ std::vector<int32_t> input1Shape { 1 };
+ std::vector<int32_t> expectedOutputShape { 1, 2, 1 };
+
+ std::vector<float> input0Values { 1.0f, 1.5f, 2.0f, 2.5f }; // Inputs
+ std::vector<int32_t> input1Values { 2 }; // Axis
+
+ std::vector<float> expectedOutputValues { 1.25f, 2.25f };
+
+ MeanTest<float>(tflite::BuiltinOperator_MEAN,
+ ::tflite::TensorType_FLOAT32,
+ backends,
+ input0Shape,
+ input1Shape,
+ expectedOutputShape,
+ input0Values,
+ input1Values,
+ expectedOutputValues,
+ false);
+}
+
+// CONCATENATION Tests.
+TEST_SUITE("Concatenation_CpuAccTests")
+{
+
+TEST_CASE ("Concatenation_Uint8_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = {armnn::Compute::CpuAcc};
+ ConcatUint8TwoInputsTest(backends);
+}
+
+TEST_CASE ("Concatenation_Int16_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = {armnn::Compute::CpuAcc};
+ ConcatInt16TwoInputsTest(backends);
+}
+
+TEST_CASE ("Concatenation_Float32_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = {armnn::Compute::CpuAcc};
+ ConcatFloat32TwoInputsTest(backends);
+}
+
+TEST_CASE ("Concatenation_Three_Inputs_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = {armnn::Compute::CpuAcc};
+ ConcatThreeInputsTest(backends);
+}
+
+TEST_CASE ("Concatenation_Axis_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = {armnn::Compute::CpuAcc};
+ ConcatAxisTest(backends);
+}
+
+}
+
+TEST_SUITE("Concatenation_GpuAccTests")
+{
+
+TEST_CASE ("Concatenation_Uint8_GpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = {armnn::Compute::GpuAcc};
+ ConcatUint8TwoInputsTest(backends);
+}
+
+TEST_CASE ("Concatenation_Int16_GpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = {armnn::Compute::GpuAcc};
+ ConcatInt16TwoInputsTest(backends);
+}
+
+TEST_CASE ("Concatenation_Float32_GpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = {armnn::Compute::GpuAcc};
+ ConcatFloat32TwoInputsTest(backends);
+}
+
+TEST_CASE ("Concatenation_Three_Inputs_GpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = {armnn::Compute::GpuAcc};
+ ConcatThreeInputsTest(backends);
+}
+
+TEST_CASE ("Concatenation_Axis_CpuRef_Test")
+{
+ std::vector<armnn::BackendId> backends = {armnn::Compute::GpuAcc};
+ ConcatAxisTest(backends);
+}
+
+}
+
+TEST_SUITE("Concatenation_CpuRefTests")
+{
+
+TEST_CASE ("Concatenation_Uint8_CpuRef_Test")
+{
+ std::vector<armnn::BackendId> backends = {armnn::Compute::CpuRef};
+ ConcatUint8TwoInputsTest(backends);
+}
+
+TEST_CASE ("Concatenation_Int16_CpuRef_Test")
+{
+ std::vector<armnn::BackendId> backends = {armnn::Compute::CpuRef};
+ ConcatInt16TwoInputsTest(backends);
+}
+
+TEST_CASE ("Concatenation_Float32_CpuRef_Test")
+{
+ std::vector<armnn::BackendId> backends = {armnn::Compute::CpuRef};
+ ConcatFloat32TwoInputsTest(backends);
+}
+
+TEST_CASE ("Concatenation_Three_Inputs_CpuRef_Test")
+{
+ std::vector<armnn::BackendId> backends = {armnn::Compute::CpuRef};
+ ConcatThreeInputsTest(backends);
+}
+
+TEST_CASE ("Concatenation_Axis_CpuRef_Test")
+{
+ std::vector<armnn::BackendId> backends = {armnn::Compute::CpuRef};
+ ConcatAxisTest(backends);
+}
+
+}
+
+// MEAN Tests
+TEST_SUITE("Mean_CpuAccTests")
+{
+
+TEST_CASE ("Mean_Uint8_KeepDims_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = {armnn::Compute::CpuAcc};
+ MeanUint8KeepDimsTest(backends);
+}
+
+TEST_CASE ("Mean_Uint8_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = {armnn::Compute::CpuAcc};
+ MeanUint8Test(backends);
+}
+
+TEST_CASE ("Mean_Fp32_KeepDims_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = {armnn::Compute::CpuAcc};
+ MeanFp32KeepDimsTest(backends);
+}
+
+TEST_CASE ("Mean_Fp32_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = {armnn::Compute::CpuAcc};
+ MeanFp32Test(backends);
+}
+
+}
+
+TEST_SUITE("Mean_GpuAccTests")
+{
+
+TEST_CASE ("Mean_Uint8_KeepDims_GpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = {armnn::Compute::GpuAcc};
+ MeanUint8KeepDimsTest(backends);
+}
+
+TEST_CASE ("Mean_Uint8_GpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = {armnn::Compute::GpuAcc};
+ MeanUint8Test(backends);
+}
+
+TEST_CASE ("Mean_Fp32_KeepDims_GpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = {armnn::Compute::GpuAcc};
+ MeanFp32KeepDimsTest(backends);
+}
+
+TEST_CASE ("Mean_Fp32_GpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = {armnn::Compute::GpuAcc};
+ MeanFp32Test(backends);
+}
+
+}
+
+TEST_SUITE("Mean_CpuRefTests")
+{
+
+TEST_CASE ("Mean_Uint8_KeepDims_CpuRef_Test")
+{
+ std::vector<armnn::BackendId> backends = {armnn::Compute::CpuRef};
+ MeanUint8KeepDimsTest(backends);
+}
+
+TEST_CASE ("Mean_Uint8_CpuRef_Test")
+{
+ std::vector<armnn::BackendId> backends = {armnn::Compute::CpuRef};
+ MeanUint8Test(backends);
+}
+
+TEST_CASE ("Mean_Fp32_KeepDims_CpuRef_Test")
+{
+ std::vector<armnn::BackendId> backends = {armnn::Compute::CpuRef};
+ MeanFp32KeepDimsTest(backends);
+}
+
+TEST_CASE ("Mean_Fp32_CpuRef_Test")
+{
+ std::vector<armnn::BackendId> backends = {armnn::Compute::CpuRef};
+ MeanFp32Test(backends);
+}
+
+}
+
+} // namespace armnnDelegate \ No newline at end of file
generated by cgit v1.2.1 (git 2.23.0) at 2024-05-27 14:21:59 +0000