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-rw-r--r--delegate/src/test/MirrorPadTest.cpp341
1 files changed, 0 insertions, 341 deletions
diff --git a/delegate/src/test/MirrorPadTest.cpp b/delegate/src/test/MirrorPadTest.cpp
deleted file mode 100644
index ca66181a30..0000000000
--- a/delegate/src/test/MirrorPadTest.cpp
+++ /dev/null
@@ -1,341 +0,0 @@
-//
-// Copyright © 2021 Arm Ltd and Contributors. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#include "PadTestHelper.hpp"
-
-#include <armnn_delegate.hpp>
-
-#include <flatbuffers/flatbuffers.h>
-#include <tensorflow/lite/schema/schema_generated.h>
-
-#include <doctest/doctest.h>
-
-namespace armnnDelegate
-{
-
-void MirrorPadSymmetric2dTest(std::vector<armnn::BackendId>& backends)
-{
- // Set input data
- std::vector<int32_t> inputShape { 3, 3 };
- std::vector<int32_t> outputShape { 7, 7 };
- std::vector<int32_t> paddingShape { 2, 2 };
-
- std::vector<float> inputValues =
- {
- 1.0f, 2.0f, 3.0f,
- 4.0f, 5.0f, 6.0f,
- 7.0f, 8.0f, 9.0f
- };
-
- std::vector<float> expectedOutputValues =
- {
- 5.0f, 4.0f, 4.0f, 5.0f, 6.0f, 6.0f, 5.0f,
- 2.0f, 1.0f, 1.0f, 2.0f, 3.0f, 3.0f, 2.0f,
- 2.0f, 1.0f, 1.0f, 2.0f, 3.0f, 3.0f, 2.0f,
- 5.0f, 4.0f, 4.0f, 5.0f, 6.0f, 6.0f, 5.0f,
- 8.0f, 7.0f, 7.0f, 8.0f, 9.0f, 9.0f, 8.0f,
- 8.0f, 7.0f, 7.0f, 8.0f, 9.0f, 9.0f, 8.0f,
- 5.0f, 4.0f, 4.0f, 5.0f, 6.0f, 6.0f, 5.0f
- };
-
- std::vector<int32_t> paddingDim = { 2, 2, 2, 2 };
-
- PadTest<float>(tflite::BuiltinOperator_MIRROR_PAD,
- ::tflite::TensorType_FLOAT32,
- backends,
- inputShape,
- paddingShape,
- outputShape,
- inputValues,
- paddingDim,
- expectedOutputValues,
- 0, // Padding value - Not used in these tests.
- 1.0f, // Scale
- 0, // Offset
- tflite::MirrorPadMode_SYMMETRIC);
-}
-
-void MirrorPadReflect2dTest(std::vector<armnn::BackendId>& backends)
-{
- // Set input data
- std::vector<int32_t> inputShape { 3, 3 };
- std::vector<int32_t> outputShape { 7, 7 };
- std::vector<int32_t> paddingShape { 2, 2 };
-
- std::vector<float> inputValues =
- {
- 1.0f, 2.0f, 3.0f,
- 4.0f, 5.0f, 6.0f,
- 7.0f, 8.0f, 9.0f
- };
-
- std::vector<float> expectedOutputValues =
- {
- 9.0f, 8.0f, 7.0f, 8.0f, 9.0f, 8.0f, 7.0f,
- 6.0f, 5.0f, 4.0f, 5.0f, 6.0f, 5.0f, 4.0f,
- 3.0f, 2.0f, 1.0f, 2.0f, 3.0f, 2.0f, 1.0f,
- 6.0f, 5.0f, 4.0f, 5.0f, 6.0f, 5.0f, 4.0f,
- 9.0f, 8.0f, 7.0f, 8.0f, 9.0f, 8.0f, 7.0f,
- 6.0f, 5.0f, 4.0f, 5.0f, 6.0f, 5.0f, 4.0f,
- 3.0f, 2.0f, 1.0f, 2.0f, 3.0f, 2.0f, 1.0f
- };
-
- std::vector<int32_t> paddingDim = { 2, 2, 2, 2 };
-
- PadTest<float>(tflite::BuiltinOperator_MIRROR_PAD,
- ::tflite::TensorType_FLOAT32,
- backends,
- inputShape,
- paddingShape,
- outputShape,
- inputValues,
- paddingDim,
- expectedOutputValues,
- 0, // Padding value - Not used in these tests.
- 1.0f, // Scale
- 0, // Offset
- tflite::MirrorPadMode_REFLECT);
-}
-
-void MirrorPadSymmetric3dTest(std::vector<armnn::BackendId>& backends)
-{
- // Set input data
- std::vector<int32_t> inputShape { 2, 2, 2 };
- std::vector<int32_t> outputShape { 4, 4, 4 };
- std::vector<int32_t> paddingShape { 3, 2 };
-
- std::vector<float> inputValues =
- {
- // Channel 0, Height (2) x Width (2)
- 1.0f, 2.0f,
- 3.0f, 4.0f,
-
- // Channel 1, Height (2) x Width (2)
- 5.0f, 6.0f,
- 7.0f, 8.0f
- };
-
- std::vector<float> expectedOutputValues =
- {
- 1.0f, 1.0f, 2.0f, 2.0f,
- 1.0f, 1.0f, 2.0f, 2.0f,
- 3.0f, 3.0f, 4.0f, 4.0f,
- 3.0f, 3.0f, 4.0f, 4.0f,
-
- 1.0f, 1.0f, 2.0f, 2.0f,
- 1.0f, 1.0f, 2.0f, 2.0f,
- 3.0f, 3.0f, 4.0f, 4.0f,
- 3.0f, 3.0f, 4.0f, 4.0f,
-
- 5.0f, 5.0f, 6.0f, 6.0f,
- 5.0f, 5.0f, 6.0f, 6.0f,
- 7.0f, 7.0f, 8.0f, 8.0f,
- 7.0f, 7.0f, 8.0f, 8.0f,
-
- 5.0f, 5.0f, 6.0f, 6.0f,
- 5.0f, 5.0f, 6.0f, 6.0f,
- 7.0f, 7.0f, 8.0f, 8.0f,
- 7.0f, 7.0f, 8.0f, 8.0f
- };
-
- std::vector<int32_t> paddingDim = { 1, 1, 1, 1, 1, 1 };
-
- PadTest<float>(tflite::BuiltinOperator_MIRROR_PAD,
- ::tflite::TensorType_FLOAT32,
- backends,
- inputShape,
- paddingShape,
- outputShape,
- inputValues,
- paddingDim,
- expectedOutputValues,
- 0, // Padding value - Not used in these tests.
- 1.0f, // Scale
- 0, // Offset
- tflite::MirrorPadMode_SYMMETRIC);
-}
-
-void MirrorPadReflect3dTest(std::vector<armnn::BackendId>& backends)
-{
- // Set input data
- std::vector<int32_t> inputShape { 2, 2, 2 };
- std::vector<int32_t> outputShape { 4, 4, 4 };
- std::vector<int32_t> paddingShape { 3, 2 };
-
- std::vector<float> inputValues =
- {
- // Channel 0, Height (2) x Width (2)
- 1.0f, 2.0f,
- 3.0f, 4.0f,
-
- // Channel 1, Height (2) x Width (2)
- 5.0f, 6.0f,
- 7.0f, 8.0f
- };
-
- std::vector<float> expectedOutputValues =
- {
- 8.0f, 7.0f, 8.0f, 7.0f,
- 6.0f, 5.0f, 6.0f, 5.0f,
- 8.0f, 7.0f, 8.0f, 7.0f,
- 6.0f, 5.0f, 6.0f, 5.0f,
-
- 4.0f, 3.0f, 4.0f, 3.0f,
- 2.0f, 1.0f, 2.0f, 1.0f,
- 4.0f, 3.0f, 4.0f, 3.0f,
- 2.0f, 1.0f, 2.0f, 1.0f,
-
- 8.0f, 7.0f, 8.0f, 7.0f,
- 6.0f, 5.0f, 6.0f, 5.0f,
- 8.0f, 7.0f, 8.0f, 7.0f,
- 6.0f, 5.0f, 6.0f, 5.0f,
-
- 4.0f, 3.0f, 4.0f, 3.0f,
- 2.0f, 1.0f, 2.0f, 1.0f,
- 4.0f, 3.0f, 4.0f, 3.0f,
- 2.0f, 1.0f, 2.0f, 1.0f
- };
-
- std::vector<int32_t> paddingDim = { 1, 1, 1, 1, 1, 1 };
-
- PadTest<float>(tflite::BuiltinOperator_MIRROR_PAD,
- ::tflite::TensorType_FLOAT32,
- backends,
- inputShape,
- paddingShape,
- outputShape,
- inputValues,
- paddingDim,
- expectedOutputValues,
- 0, // Padding value - Not used in these tests.
- 1.0f, // Scale
- 0, // Offset
- tflite::MirrorPadMode_REFLECT);
-}
-
-void MirrorPadSymmetricUint8Test(std::vector<armnn::BackendId>& backends)
-{
- // Set input data
- std::vector<int32_t> inputShape { 3, 3 };
- std::vector<int32_t> outputShape { 5, 7 };
- std::vector<int32_t> paddingShape { 2, 2 };
-
- std::vector<uint8_t> inputValues =
- {
- 1, 2, 3,
- 4, 5, 6,
- 7, 8, 9
- };
-
- std::vector<uint8_t> expectedOutputValues =
- {
- 2, 1, 1, 2, 3, 3, 2,
- 2, 1, 1, 2, 3, 3, 2,
- 5, 4, 4, 5, 6, 6, 5,
- 8, 7, 7, 8, 9, 9, 8,
- 8, 7, 7, 8, 9, 9, 8,
- };
-
- std::vector<int32_t> paddingDim = { 1, 1, 2, 2 };
-
- PadTest<uint8_t>(tflite::BuiltinOperator_MIRROR_PAD,
- ::tflite::TensorType_UINT8,
- backends,
- inputShape,
- paddingShape,
- outputShape,
- inputValues,
- paddingDim,
- expectedOutputValues,
- 0, // Padding value - Not used in these tests.
- 1.0f, // Scale
- 1, // Offset
- tflite::MirrorPadMode_SYMMETRIC);
-}
-
-void MirrorPadReflectInt8Test(std::vector<armnn::BackendId>& backends)
-{
- // Set input data
- std::vector<int32_t> inputShape { 3, 3 };
- std::vector<int32_t> outputShape { 7, 5 };
- std::vector<int32_t> paddingShape { 2, 2 };
-
- std::vector<int8_t> inputValues =
- {
- 1, 2, 3,
- 4, 5, 6,
- 7, 8, 9
- };
-
- std::vector<int8_t> expectedOutputValues =
- {
- 8, 7, 8, 9, 8,
- 5, 4, 5, 6, 5,
- 2, 1, 2, 3, 2,
- 5, 4, 5, 6, 5,
- 8, 7, 8, 9, 8,
- 5, 4, 5, 6, 5,
- 2, 1, 2, 3, 2
- };
-
- std::vector<int32_t> paddingDim = { 2, 2, 1, 1 };
-
- PadTest<int8_t>(tflite::BuiltinOperator_MIRROR_PAD,
- ::tflite::TensorType_INT8,
- backends,
- inputShape,
- paddingShape,
- outputShape,
- inputValues,
- paddingDim,
- expectedOutputValues,
- 0, // Padding value - Not used in these tests.
- 1.0f, // Scale
- 1, // Offset
- tflite::MirrorPadMode_REFLECT);
-}
-
-TEST_SUITE("MirrorPad_CpuRefTests")
-{
-
-TEST_CASE ("MirrorPadSymmetric2d_CpuRef_Test")
-{
- std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
- MirrorPadSymmetric2dTest(backends);
-}
-
-TEST_CASE ("MirrorPadReflect2d_CpuRef_Test")
-{
- std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
- MirrorPadReflect2dTest(backends);
-}
-
-TEST_CASE ("MirrorPadSymmetric3d_CpuRef_Test")
-{
- std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
- MirrorPadSymmetric3dTest(backends);
-}
-
-TEST_CASE ("MirrorPadReflect3d_CpuRef_Test")
-{
- std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
- MirrorPadReflect3dTest(backends);
-}
-
-TEST_CASE ("MirrorPadSymmetricUint8_CpuRef_Test")
-{
- std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
- MirrorPadSymmetricUint8Test(backends);
-}
-
-TEST_CASE ("MirrorPadSymmetricInt8_CpuRef_Test")
-{
- std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
- MirrorPadReflectInt8Test(backends);
-}
-
-} // TEST_SUITE("MirrorPad_CpuRefTests")
-
-} // namespace armnnDelegate \ No newline at end of file
generated by cgit v1.2.1 (git 2.23.0) at 2024-07-25 20:03:36 +0000