aboutsummaryrefslogtreecommitdiff
path: root/delegate/test/ArgMinMaxTest.cpp
diff options
context:
space:
mode:
authorTeresa Charlin <teresa.charlinreyes@arm.com>2023-03-14 12:10:28 +0000
committerTeresa Charlin <teresa.charlinreyes@arm.com>2023-03-28 11:41:55 +0100
commitad1b3d7518429e2d16a2695d9b0bbf81b6565ac9 (patch)
treea5b8e1ad68a2437f007338f0b6195ca5ed2bddc3 /delegate/test/ArgMinMaxTest.cpp
parent9cb3466b677a1048b8abb24661e92c4c83fdda04 (diff)
downloadarmnn-ad1b3d7518429e2d16a2695d9b0bbf81b6565ac9.tar.gz
IVGCVSW-7555 Restructure Delegate
* New folders created: * common is for common code where TfLite API is not used * classic is for existing delegate implementations * opaque is for new opaque delegate implementation, * tests is for shared between existing Delegate and Opaque Delegate which have test utils to work which delegate to use. * Existing delegate is built to libarmnnDelegate.so and opaque delegate is built as libarmnnOpaqueDelegate.so * Opaque structure is introduced but no API is added yet. * CmakeList.txt and delegate/CMakeList.txt have been modified and 2 new CmakeList.txt added * Rename BUILD_ARMNN_TFLITE_DELEGATE as BUILD_CLASSIC_DELEGATE * Rename BUILD_ARMNN_TFLITE_OPAQUE_DELEGATE as BUILD_OPAQUE_DELEGATE Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: Ib682b9ad0ac8d8acdc4ec6d9099bb0008a9fe8ed
Diffstat (limited to 'delegate/test/ArgMinMaxTest.cpp')
-rw-r--r--delegate/test/ArgMinMaxTest.cpp174
1 files changed, 174 insertions, 0 deletions
diff --git a/delegate/test/ArgMinMaxTest.cpp b/delegate/test/ArgMinMaxTest.cpp
new file mode 100644
index 0000000000..1c0550313f
--- /dev/null
+++ b/delegate/test/ArgMinMaxTest.cpp
@@ -0,0 +1,174 @@
+//
+// Copyright © 2021, 2023 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "ArgMinMaxTestHelper.hpp"
+
+#include <armnn_delegate.hpp>
+
+#include <flatbuffers/flatbuffers.h>
+#include <schema_generated.h>
+
+#include <doctest/doctest.h>
+
+namespace armnnDelegate
+{
+
+void ArgMaxFP32Test(std::vector<armnn::BackendId>& backends, int axisValue)
+{
+ // Set input data
+ std::vector<int32_t> inputShape { 1, 3, 2, 4 };
+ std::vector<int32_t> outputShape { 1, 3, 4 };
+ std::vector<int32_t> axisShape { 1 };
+
+ std::vector<float> inputValues = { 1.0f, 2.0f, 3.0f, 4.0f,
+ 5.0f, 6.0f, 7.0f, 8.0f,
+
+ 10.0f, 20.0f, 30.0f, 40.0f,
+ 50.0f, 60.0f, 70.0f, 80.0f,
+
+ 100.0f, 200.0f, 300.0f, 400.0f,
+ 500.0f, 600.0f, 700.0f, 800.0f };
+
+ std::vector<int32_t> expectedOutputValues = { 1, 1, 1, 1,
+ 1, 1, 1, 1,
+ 1, 1, 1, 1 };
+
+ ArgMinMaxTest<float, int32_t>(tflite::BuiltinOperator_ARG_MAX,
+ ::tflite::TensorType_FLOAT32,
+ backends,
+ inputShape,
+ axisShape,
+ outputShape,
+ inputValues,
+ expectedOutputValues,
+ axisValue,
+ ::tflite::TensorType_INT32);
+}
+
+void ArgMinFP32Test(std::vector<armnn::BackendId>& backends, int axisValue)
+{
+ // Set input data
+ std::vector<int32_t> inputShape { 1, 3, 2, 4 };
+ std::vector<int32_t> outputShape { 1, 3, 2 };
+ std::vector<int32_t> axisShape { 1 };
+
+ std::vector<float> inputValues = { 1.0f, 2.0f, 3.0f, 4.0f,
+ 5.0f, 6.0f, 7.0f, 8.0f,
+
+ 10.0f, 20.0f, 30.0f, 40.0f,
+ 50.0f, 60.0f, 70.0f, 80.0f,
+
+ 100.0f, 200.0f, 300.0f, 400.0f,
+ 500.0f, 600.0f, 700.0f, 800.0f };
+
+ std::vector<int32_t> expectedOutputValues = { 0, 0,
+ 0, 0,
+ 0, 0 };
+
+ ArgMinMaxTest<float, int32_t>(tflite::BuiltinOperator_ARG_MIN,
+ ::tflite::TensorType_FLOAT32,
+ backends,
+ inputShape,
+ axisShape,
+ outputShape,
+ inputValues,
+ expectedOutputValues,
+ axisValue,
+ ::tflite::TensorType_INT32);
+}
+
+void ArgMaxUint8Test(std::vector<armnn::BackendId>& backends, int axisValue)
+{
+ // Set input data
+ std::vector<int32_t> inputShape { 1, 1, 1, 5 };
+ std::vector<int32_t> outputShape { 1, 1, 1 };
+ std::vector<int32_t> axisShape { 1 };
+
+ std::vector<uint8_t> inputValues = { 5, 2, 8, 10, 9 };
+
+ std::vector<int32_t> expectedOutputValues = { 3 };
+
+ ArgMinMaxTest<uint8_t, int32_t>(tflite::BuiltinOperator_ARG_MAX,
+ ::tflite::TensorType_UINT8,
+ backends,
+ inputShape,
+ axisShape,
+ outputShape,
+ inputValues,
+ expectedOutputValues,
+ axisValue,
+ ::tflite::TensorType_INT32);
+}
+
+TEST_SUITE("ArgMinMax_CpuRefTests")
+{
+
+TEST_CASE ("ArgMaxFP32Test_CpuRef_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
+ ArgMaxFP32Test(backends, 2);
+}
+
+TEST_CASE ("ArgMinFP32Test_CpuRef_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
+ ArgMinFP32Test(backends, 3);
+}
+
+TEST_CASE ("ArgMaxUint8Test_CpuRef_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
+ ArgMaxUint8Test(backends, -1);
+}
+
+} // TEST_SUITE("ArgMinMax_CpuRefTests")
+
+TEST_SUITE("ArgMinMax_CpuAccTests")
+{
+
+TEST_CASE ("ArgMaxFP32Test_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
+ ArgMaxFP32Test(backends, 2);
+}
+
+TEST_CASE ("ArgMinFP32Test_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
+ ArgMinFP32Test(backends, 3);
+}
+
+TEST_CASE ("ArgMaxUint8Test_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
+ ArgMaxUint8Test(backends, -1);
+}
+
+} // TEST_SUITE("ArgMinMax_CpuAccTests")
+
+TEST_SUITE("ArgMinMax_GpuAccTests")
+{
+
+TEST_CASE ("ArgMaxFP32Test_GpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
+ ArgMaxFP32Test(backends, 2);
+}
+
+TEST_CASE ("ArgMinFP32Test_GpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
+ ArgMinFP32Test(backends, 3);
+}
+
+TEST_CASE ("ArgMaxUint8Test_GpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
+ ArgMaxUint8Test(backends, -1);
+}
+
+} // TEST_SUITE("ArgMinMax_GpuAccTests")
+
+} // namespace armnnDelegate \ No newline at end of file