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-rw-r--r--delegate/src/Pad.hpp42
-rw-r--r--delegate/src/armnn_delegate.cpp6
-rw-r--r--delegate/src/test/MirrorPadTest.cpp341
-rw-r--r--delegate/src/test/PadTestHelper.hpp16
4 files changed, 402 insertions, 3 deletions
diff --git a/delegate/src/Pad.hpp b/delegate/src/Pad.hpp
index 431b8d33f2..78e07760fb 100644
--- a/delegate/src/Pad.hpp
+++ b/delegate/src/Pad.hpp
@@ -23,6 +23,7 @@ TfLiteStatus VisitPadOperator(DelegateData& delegateData,
switch(tfLitePadOperatorCode)
{
+ case kTfLiteBuiltinMirrorPad:
case kTfLiteBuiltinPad:
TF_LITE_ENSURE_STATUS(ValidateNumInputs(tfLiteContext, tfLiteNode, 2, nodeIndex));
break;
@@ -106,6 +107,47 @@ TfLiteStatus VisitPadOperator(DelegateData& delegateData,
return kTfLiteError;
}
}
+ else if (tfLitePadOperatorCode == kTfLiteBuiltinMirrorPad)
+ {
+ TfLiteMirrorPaddingParams* options = reinterpret_cast<TfLiteMirrorPaddingParams*>(tfLiteNode->builtin_data);
+
+
+ if (options->mode == TfLiteMirrorPaddingMode::kTfLiteMirrorPaddingReflect)
+ {
+ descriptor.m_PaddingMode = armnn::PaddingMode::Reflect;
+ }
+ else if (options->mode == TfLiteMirrorPaddingMode::kTfLiteMirrorPaddingSymmetric)
+ {
+ descriptor.m_PaddingMode = armnn::PaddingMode::Symmetric;
+ }
+ else
+ {
+ TF_LITE_MAYBE_KERNEL_LOG(
+ tfLiteContext,
+ "TfLiteArmnnDelegate: PaddingMode must be either REFLECT or SYMMETRIC in operator #%d node #%d: ",
+ tfLitePadOperatorCode, nodeIndex);
+ }
+
+ // If padding mode is Reflect then both paddings must be no greater than inputShape(i) - 1.
+ // If padding mode is Symmetric then both paddings must be no greater than inputShape(i).
+ auto inputShape = inputTensorInfo.GetShape();
+ auto padList = descriptor.m_PadList;
+
+ const unsigned int isReflect =
+ static_cast<unsigned int>(descriptor.m_PaddingMode == armnn::PaddingMode::Reflect);
+ for(unsigned int i = 0; i < padList.size(); ++i)
+ {
+ if(padList.at(i).first > (inputShape[i] - isReflect) ||
+ padList.at(i).second > (inputShape[i] - isReflect))
+ {
+ TF_LITE_MAYBE_KERNEL_LOG(
+ tfLiteContext,
+ "TfLiteArmnnDelegate: Padding values must be less (Reflect) or "
+ "equal (Symmetric) to the dimension size in operator #%d node #%d: ",
+ tfLitePadOperatorCode, nodeIndex);
+ }
+ }
+ }
if (!delegateData.m_Network)
{
diff --git a/delegate/src/armnn_delegate.cpp b/delegate/src/armnn_delegate.cpp
index e029e2c420..ae25430e0d 100644
--- a/delegate/src/armnn_delegate.cpp
+++ b/delegate/src/armnn_delegate.cpp
@@ -725,6 +725,12 @@ TfLiteStatus ArmnnSubgraph::VisitNode(DelegateData& delegateData,
tfLiteNode,
nodeIndex,
kTfLiteBuiltinMinimum);
+ case kTfLiteBuiltinMirrorPad:
+ return VisitPadOperator(delegateData,
+ tfLiteContext,
+ tfLiteNode,
+ nodeIndex,
+ kTfLiteBuiltinMirrorPad);
case kTfLiteBuiltinMul:
return VisitElementwiseBinaryOperator(delegateData,
tfLiteContext,
diff --git a/delegate/src/test/MirrorPadTest.cpp b/delegate/src/test/MirrorPadTest.cpp
new file mode 100644
index 0000000000..ca66181a30
--- /dev/null
+++ b/delegate/src/test/MirrorPadTest.cpp
@@ -0,0 +1,341 @@
+//
+// 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
diff --git a/delegate/src/test/PadTestHelper.hpp b/delegate/src/test/PadTestHelper.hpp
index 3d6e6493d9..5b9a1bcc36 100644
--- a/delegate/src/test/PadTestHelper.hpp
+++ b/delegate/src/test/PadTestHelper.hpp
@@ -25,6 +25,7 @@ template <typename T>
std::vector<char> CreatePadTfLiteModel(
tflite::BuiltinOperator padOperatorCode,
tflite::TensorType tensorType,
+ tflite::MirrorPadMode paddingMode,
const std::vector<int32_t>& inputTensorShape,
const std::vector<int32_t>& paddingTensorShape,
const std::vector<int32_t>& outputTensorShape,
@@ -87,7 +88,14 @@ std::vector<char> CreatePadTfLiteModel(
operatorInputs = {{ 0, 1 }};
subgraphInputs = {{ 0, 1 }};
operatorBuiltinOptions = CreatePadOptions(flatBufferBuilder).Union();
+ }
+ else if(padOperatorCode == tflite::BuiltinOperator_MIRROR_PAD)
+ {
+ operatorInputs = {{ 0, 1 }};
+ subgraphInputs = {{ 0, 1 }};
+ operatorBuiltinOptionsType = BuiltinOptions_MirrorPadOptions;
+ operatorBuiltinOptions = CreateMirrorPadOptions(flatBufferBuilder, paddingMode).Union();
}
else if (padOperatorCode == tflite::BuiltinOperator_PADV2)
{
@@ -116,7 +124,7 @@ std::vector<char> CreatePadTfLiteModel(
// create operator
const std::vector<int32_t> operatorOutputs{ 2 };
- flatbuffers::Offset <Operator> redefineOperator =
+ flatbuffers::Offset <Operator> paddingOperator =
CreateOperator(flatBufferBuilder,
0,
flatBufferBuilder.CreateVector<int32_t>(operatorInputs.data(), operatorInputs.size()),
@@ -130,7 +138,7 @@ std::vector<char> CreatePadTfLiteModel(
flatBufferBuilder.CreateVector(tensors.data(), tensors.size()),
flatBufferBuilder.CreateVector<int32_t>(subgraphInputs.data(), subgraphInputs.size()),
flatBufferBuilder.CreateVector<int32_t>(subgraphOutputs.data(), subgraphOutputs.size()),
- flatBufferBuilder.CreateVector(&redefineOperator, 1));
+ flatBufferBuilder.CreateVector(&paddingOperator, 1));
flatbuffers::Offset <flatbuffers::String> modelDescription =
flatBufferBuilder.CreateString("ArmnnDelegate: Pad Operator Model");
@@ -163,11 +171,13 @@ void PadTest(tflite::BuiltinOperator padOperatorCode,
std::vector<T>& expectedOutputValues,
T paddingValue,
float quantScale = 1.0f,
- int quantOffset = 0)
+ int quantOffset = 0,
+ tflite::MirrorPadMode paddingMode = tflite::MirrorPadMode_SYMMETRIC)
{
using namespace tflite;
std::vector<char> modelBuffer = CreatePadTfLiteModel<T>(padOperatorCode,
tensorType,
+ paddingMode,
inputShape,
paddingShape,
outputShape,
generated by cgit v1.2.1 (git 2.23.0) at 2024-05-29 09:05:28 +0000