From ad1b3d7518429e2d16a2695d9b0bbf81b6565ac9 Mon Sep 17 00:00:00 2001
From: Teresa Charlin <teresa.charlinreyes@arm.com>
Date: Tue, 14 Mar 2023 12:10:28 +0000
Subject: 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
---
 delegate/test/ReshapeTest.cpp | 517 ++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 517 insertions(+)
 create mode 100644 delegate/test/ReshapeTest.cpp

(limited to 'delegate/test/ReshapeTest.cpp')

diff --git a/delegate/test/ReshapeTest.cpp b/delegate/test/ReshapeTest.cpp
new file mode 100644
index 0000000000..c3df8b21d8
--- /dev/null
+++ b/delegate/test/ReshapeTest.cpp
@@ -0,0 +1,517 @@
+//
+// Copyright © 2020, 2023 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "RedefineTestHelper.hpp"
+
+#include <armnn_delegate.hpp>
+
+#include <flatbuffers/flatbuffers.h>
+#include <schema_generated.h>
+
+#include <doctest/doctest.h>
+
+#include <half/half.hpp>
+
+using Half = half_float::half;
+
+namespace armnnDelegate
+{
+
+void ReshapeSimpleTest(std::vector<armnn::BackendId>& backends, bool useOption = true)
+{
+    // Set input data
+    std::vector<int32_t> inputShape { 1, 3, 4, 1 };
+    std::vector<int32_t> outputShape { 1, 3, 2, 2 };
+    std::vector<int32_t> targetShape { 1, 3, 2, 2 };
+
+    std::vector<float> inputValues = { -5.0f, 8.0f, -10.0f, 7.0f,
+                                       8.0f, 12.0f, -15.0f, 2.0f,
+                                       3.0f, -4.0f, -1.0f, -11.0f };
+
+    std::vector<float> expectedOutputValues = { -5.0f, 8.0f, -10.0f, 7.0f,
+                                                8.0f, 12.0f, -15.0f, 2.0f,
+                                                3.0f, -4.0f, -1.0f, -11.0f };
+
+    RedefineTest<float>(tflite::BuiltinOperator_RESHAPE,
+                        ::tflite::TensorType_FLOAT32,
+                        backends,
+                        inputShape,
+                        outputShape,
+                        inputValues,
+                        expectedOutputValues,
+                        targetShape,
+                        useOption);
+}
+
+using namespace half_float::literal;
+
+void ReshapeSimpleFloat16Test(std::vector<armnn::BackendId>& backends, bool useOption = true)
+{
+    // Set input data
+    std::vector<int32_t> inputShape { 1, 3, 4, 1 };
+    std::vector<int32_t> outputShape { 1, 3, 2, 2 };
+    std::vector<int32_t> targetShape { 1, 3, 2, 2 };
+
+    std::vector<Half> inputValues = { 5._h, -8._h, -10._h, 7._h,
+                                      8._h, 12._h, -15._h, 2._h,
+                                      3._h, -4._h, -1._h, -11._h };
+
+    std::vector<Half> expectedOutputValues = { 5._h, -8._h, -10._h, 7._h,
+                                               8._h, 12._h, -15._h, 2._h,
+                                               3._h, -4._h, -1._h, -11._h };
+
+    RedefineTest<Half>(tflite::BuiltinOperator_RESHAPE,
+                        ::tflite::TensorType_FLOAT16,
+                        backends,
+                        inputShape,
+                        outputShape,
+                        inputValues,
+                        expectedOutputValues,
+                        targetShape,
+                        useOption);
+}
+
+void ReshapeReduceDimTest(std::vector<armnn::BackendId>& backends, bool useOption = true)
+{
+    // Set input data
+    std::vector<int32_t> inputShape { 1, 3, 4, 1 };
+    std::vector<int32_t> outputShape { 1, 4, 3 };
+    std::vector<int32_t> targetShape { 1, 4, 3 };
+
+    std::vector<float> inputValues = { -5.0f, 8.0f, -10.0f, 7.0f,
+                                       8.0f, 12.0f, -15.0f, 2.0f,
+                                       3.0f, -4.0f, -1.0f, -11.0f };
+
+    std::vector<float> expectedOutputValues = { -5.0f, 8.0f, -10.0f, 7.0f,
+                                                8.0f, 12.0f, -15.0f, 2.0f,
+                                                3.0f, -4.0f, -1.0f, -11.0f };
+
+    RedefineTest<float>(tflite::BuiltinOperator_RESHAPE,
+                        ::tflite::TensorType_FLOAT32,
+                        backends,
+                        inputShape,
+                        outputShape,
+                        inputValues,
+                        expectedOutputValues,
+                        targetShape,
+                        useOption);
+}
+
+void ReshapeFlattenTest(std::vector<armnn::BackendId>& backends, bool useOption = true)
+{
+    // Set input data
+    std::vector<int32_t> inputShape { 1, 3, 4, 1 };
+    std::vector<int32_t> outputShape { 6, 2 };
+    std::vector<int32_t> targetShape { -1, 2 };
+
+    std::vector<float> inputValues = { -5.0f, 8.0f, -10.0f, 7.0f,
+                                       8.0f, 12.0f, -15.0f, 2.0f,
+                                       3.0f, -4.0f, -1.0f, -11.0f };
+
+    std::vector<float> expectedOutputValues = { -5.0f, 8.0f, -10.0f, 7.0f,
+                                                8.0f, 12.0f, -15.0f, 2.0f,
+                                                3.0f, -4.0f, -1.0f, -11.0f };
+
+    RedefineTest<float>(tflite::BuiltinOperator_RESHAPE,
+                        ::tflite::TensorType_FLOAT32,
+                        backends,
+                        inputShape,
+                        outputShape,
+                        inputValues,
+                        expectedOutputValues,
+                        targetShape,
+                        useOption);
+}
+
+void ReshapeFlattenAllTest(std::vector<armnn::BackendId>& backends, bool useOption = true)
+{
+    // Set input data
+    std::vector<int32_t> inputShape { 1, 3, 4, 1 };
+    std::vector<int32_t> outputShape { 12 };
+    std::vector<int32_t> targetShape { -1 };
+
+    std::vector<float> inputValues = { -5.0f, 8.0f, -10.0f, 7.0f,
+                                       8.0f, 12.0f, -15.0f, 2.0f,
+                                       3.0f, -4.0f, -1.0f, -11.0f };
+
+    std::vector<float> expectedOutputValues = { -5.0f, 8.0f, -10.0f, 7.0f,
+                                                8.0f, 12.0f, -15.0f, 2.0f,
+                                                3.0f, -4.0f, -1.0f, -11.0f };
+
+    RedefineTest<float>(tflite::BuiltinOperator_RESHAPE,
+                        ::tflite::TensorType_FLOAT32,
+                        backends,
+                        inputShape,
+                        outputShape,
+                        inputValues,
+                        expectedOutputValues,
+                        targetShape,
+                        useOption);
+}
+
+void ReshapeInt8Test(std::vector<armnn::BackendId>& backends, bool useOption = true)
+{
+    // Set input data
+    std::vector<int32_t> inputShape { 1, 3, 4, 1 };
+    std::vector<int32_t> outputShape { 6, 2 };
+    std::vector<int32_t> targetShape { -1, 2 };
+
+    std::vector<int8_t> inputValues = { -5, 8, -10, 7,
+                                        8, 12, -15, 2,
+                                        3, -4, -1, -11 };
+
+    std::vector<int8_t> expectedOutputValues = { -5, 8, -10, 7,
+                                                 8, 12, -15, 2,
+                                                 3, -4, -1, -11 };
+
+    RedefineTest<int8_t>(tflite::BuiltinOperator_RESHAPE,
+                         ::tflite::TensorType_INT8,
+                         backends,
+                         inputShape,
+                         outputShape,
+                         inputValues,
+                         expectedOutputValues,
+                         targetShape,
+                         useOption,
+                         2.5f,
+                         1);
+}
+
+void ReshapeUint8Test(std::vector<armnn::BackendId>& backends, bool useOption = true)
+{
+    // Set input data
+    std::vector<int32_t> inputShape { 1, 3, 4, 1 };
+    std::vector<int32_t> outputShape { 6, 2 };
+    std::vector<int32_t> targetShape { -1, 2 };
+
+    std::vector<uint8_t> inputValues = { 5, 8, 10, 7,
+                                         8, 12, 15, 2,
+                                         3, 4, 1, 11 };
+
+    std::vector<uint8_t> expectedOutputValues = { 5, 8, 10, 7,
+                                                  8, 12, 15, 2,
+                                                  3, 4, 1, 11 };
+
+    RedefineTest<uint8_t>(tflite::BuiltinOperator_RESHAPE,
+                          ::tflite::TensorType_UINT8,
+                          backends,
+                          inputShape,
+                          outputShape,
+                          inputValues,
+                          expectedOutputValues,
+                          targetShape,
+                          useOption,
+                          2.5f,
+                          1);
+}
+
+void ReshapeInt16Test(std::vector<armnn::BackendId>& backends, bool useOption = true)
+{
+    // Set input data
+    std::vector<int32_t> inputShape { 1, 3, 4, 1 };
+    std::vector<int32_t> outputShape { 6, 2 };
+    std::vector<int32_t> targetShape { -1, 2 };
+
+    std::vector<int16_t> inputValues = { -5, 8, -10, 7,
+                                         8, 12, -15, 2,
+                                         3, -4, -1, -11 };
+
+    std::vector<int16_t> expectedOutputValues = { -5, 8, -10, 7,
+                                                  8, 12, -15, 2,
+                                                  3, -4, -1, -11 };
+
+    RedefineTest<int16_t>(tflite::BuiltinOperator_RESHAPE,
+                          ::tflite::TensorType_INT16,
+                          backends,
+                          inputShape,
+                          outputShape,
+                          inputValues,
+                          expectedOutputValues,
+                          targetShape,
+                          useOption,
+                          2.5f,
+                          0);
+}
+
+TEST_SUITE("Reshape_GpuAccTests")
+{
+
+TEST_CASE ("Reshape_Simple_GpuAcc_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
+    ReshapeSimpleTest(backends);
+}
+
+TEST_CASE ("Reshape_ReduceDimension_GpuAcc_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
+    ReshapeReduceDimTest(backends);
+}
+
+TEST_CASE ("Reshape_Flatten_GpuAcc_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
+    ReshapeFlattenTest(backends);
+}
+
+TEST_CASE ("Reshape_FlattenAll_GpuAcc_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
+    ReshapeFlattenAllTest(backends);
+}
+
+TEST_CASE ("Reshape_Int8_GpuAcc_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
+    ReshapeInt8Test(backends);
+}
+
+TEST_CASE ("Reshape_Uint8_GpuAcc_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
+    ReshapeUint8Test(backends);
+}
+
+TEST_CASE ("Reshape_Float16_GpuAcc_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
+    ReshapeSimpleFloat16Test(backends);
+}
+
+TEST_CASE ("Reshape_Simple_ShapeTensor_GpuAcc_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
+    ReshapeSimpleTest(backends, false);
+}
+
+TEST_CASE ("Reshape_ReduceDimension_ShapeTensor_GpuAcc_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
+    ReshapeReduceDimTest(backends, false);
+}
+
+TEST_CASE ("Reshape_Flatten_ShapeTensor_GpuAcc_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
+    ReshapeFlattenTest(backends, false);
+}
+
+TEST_CASE ("Reshape_FlattenAll_ShapeTensor_GpuAcc_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
+    ReshapeFlattenAllTest(backends, false);
+}
+
+TEST_CASE ("Reshape_Int8_ShapeTensor_GpuAcc_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
+    ReshapeInt8Test(backends, false);
+}
+
+TEST_CASE ("Reshape_Uint8_ShapeTensor_GpuAcc_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
+    ReshapeUint8Test(backends, false);
+}
+
+TEST_CASE ("Reshape_Float16_ShapeTensor_GpuAcc_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
+    ReshapeSimpleFloat16Test(backends, false);
+}
+
+} // TEST_SUITE("Reshape_GpuAccTests")
+
+TEST_SUITE("Reshape_CpuAccTests")
+{
+
+TEST_CASE ("Reshape_Simple_CpuAcc_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
+    ReshapeSimpleTest(backends);
+}
+
+TEST_CASE ("Reshape_ReduceDimension_CpuAcc_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
+    ReshapeReduceDimTest(backends);
+}
+
+TEST_CASE ("Reshape_Flatten_CpuAcc_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
+    ReshapeFlattenTest(backends);
+}
+
+TEST_CASE ("Reshape_FlattenAll_CpuAcc_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
+    ReshapeFlattenAllTest(backends);
+}
+
+TEST_CASE ("Reshape_Int8_CpuAcc_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
+    ReshapeInt8Test(backends);
+}
+
+TEST_CASE ("Reshape_Uint8_CpuAcc_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
+    ReshapeUint8Test(backends);
+}
+
+TEST_CASE ("Reshape_Float16_CpuAcc_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
+    ReshapeSimpleFloat16Test(backends);
+}
+
+TEST_CASE ("Reshape_Simple_ShapeTensor_CpuAcc_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
+    ReshapeSimpleTest(backends, false);
+}
+
+TEST_CASE ("Reshape_ReduceDimension_ShapeTensor_CpuAcc_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
+    ReshapeReduceDimTest(backends, false);
+}
+
+TEST_CASE ("Reshape_Flatten_ShapeTensor_CpuAcc_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
+    ReshapeFlattenTest(backends, false);
+}
+
+TEST_CASE ("Reshape_FlattenAll_ShapeTensor_CpuAcc_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
+    ReshapeFlattenAllTest(backends, false);
+}
+
+TEST_CASE ("Reshape_Int8_ShapeTensor_CpuAcc_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
+    ReshapeInt8Test(backends, false);
+}
+
+TEST_CASE ("Reshape_Uint8_ShapeTensor_CpuAcc_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
+    ReshapeUint8Test(backends, false);
+}
+
+TEST_CASE ("Reshape_Float16_ShapeTensor_CpuAcc_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
+    ReshapeSimpleFloat16Test(backends, false);
+}
+
+} // TEST_SUITE("Reshape_CpuAccTests")
+
+TEST_SUITE("Reshape_CpuRefTests")
+{
+
+TEST_CASE ("Reshape_Simple_CpuRef_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
+    ReshapeSimpleTest(backends);
+}
+
+TEST_CASE ("Reshape_ReduceDimension_CpuRef_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
+    ReshapeReduceDimTest(backends);
+}
+
+TEST_CASE ("Reshape_Flatten_CpuRef_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
+    ReshapeFlattenTest(backends);
+}
+
+TEST_CASE ("Reshape_FlattenAll_CpuRef_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
+    ReshapeFlattenAllTest(backends);
+}
+
+TEST_CASE ("Reshape_Int8_CpuRef_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
+    ReshapeInt8Test(backends);
+}
+
+TEST_CASE ("Reshape_Uint8_CpuRef_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
+    ReshapeUint8Test(backends);
+}
+
+TEST_CASE ("Reshape_Int16_CpuRef_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
+    ReshapeInt16Test(backends);
+}
+
+TEST_CASE ("Reshape_Float16_CpuRef_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
+    ReshapeSimpleFloat16Test(backends);
+}
+
+TEST_CASE ("Reshape_Simple_ShapeTensor_CpuRef_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
+    ReshapeSimpleTest(backends, false);
+}
+
+TEST_CASE ("Reshape_ReduceDimension_ShapeTensor_CpuRef_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
+    ReshapeReduceDimTest(backends, false);
+}
+
+TEST_CASE ("Reshape_Flatten_ShapeTensor_CpuRef_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
+    ReshapeFlattenTest(backends, false);
+}
+
+TEST_CASE ("Reshape_FlattenAll_ShapeTensor_CpuRef_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
+    ReshapeFlattenAllTest(backends, false);
+}
+
+TEST_CASE ("Reshape_Int8_ShapeTensor_CpuRef_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
+    ReshapeInt8Test(backends, false);
+}
+
+TEST_CASE ("Reshape_Uint8_ShapeTensor_CpuRef_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
+    ReshapeUint8Test(backends, false);
+}
+
+TEST_CASE ("Reshape_Int16_ShapeTensor_CpuRef_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
+    ReshapeInt16Test(backends, false);
+}
+
+TEST_CASE ("Reshape_Float16_ShapeTensor_CpuRef_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
+    ReshapeSimpleFloat16Test(backends, false);
+}
+
+} // TEST_SUITE("Reshape_CpuRefTests")
+
+} // namespace armnnDelegate
\ No newline at end of file
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