IVGCVSW-2710 Add Serializer and Deserializer for StridedSlice

Change-Id: I6e8198a2aa5f8c56f00ccf9b4d98fcd208755654
Signed-off-by: Nattapat Chaimanowong <nattapat.chaimanowong@arm.com>

4 files changed, 231 insertions, 0 deletions

diff --git a/src/armnnDeserializer/Deserializer.cpp b/src/armnnDeserializer/Deserializer.cpp
index 73c2042024..e4c9bd67be 100644
--- a/src/armnnDeserializer/Deserializer.cpp
+++ b/src/armnnDeserializer/Deserializer.cpp
@@ -209,6 +209,7 @@ m_ParserFunctions(Layer_MAX+1, &Deserializer::ParseUnsupportedLayer)
     m_ParserFunctions[Layer_RsqrtLayer]                  = &Deserializer::ParseRsqrt;
     m_ParserFunctions[Layer_SoftmaxLayer]                = &Deserializer::ParseSoftmax;
     m_ParserFunctions[Layer_SpaceToBatchNdLayer]         = &Deserializer::ParseSpaceToBatchNd;
+    m_ParserFunctions[Layer_StridedSliceLayer]           = &Deserializer::ParseStridedSlice;
     m_ParserFunctions[Layer_SubtractionLayer]            = &Deserializer::ParseSubtraction;
 }
 
@@ -270,6 +271,8 @@ Deserializer::LayerBaseRawPtr Deserializer::GetBaseLayer(const GraphPtr& graphPt
             return graphPtr->layers()->Get(layerIndex)->layer_as_SoftmaxLayer()->base();
         case Layer::Layer_SpaceToBatchNdLayer:
             return graphPtr->layers()->Get(layerIndex)->layer_as_SpaceToBatchNdLayer()->base();
+        case Layer::Layer_StridedSliceLayer:
+            return graphPtr->layers()->Get(layerIndex)->layer_as_StridedSliceLayer()->base();
         case Layer::Layer_SubtractionLayer:
             return graphPtr->layers()->Get(layerIndex)->layer_as_SubtractionLayer()->base();
         case Layer::Layer_NONE:
@@ -1642,6 +1645,51 @@ void Deserializer::ParseRsqrt(GraphPtr graph, unsigned int layerIndex)
     RegisterOutputSlots(graph, layerIndex, layer);
 }
 
+void Deserializer::ParseStridedSlice(GraphPtr graph, unsigned int layerIndex)
+{
+    CHECK_LAYERS(graph, 0, layerIndex);
+
+    Deserializer::TensorRawPtrVector inputs = GetInputs(graph, layerIndex);
+    CHECK_VALID_SIZE(inputs.size(), 1);
+
+    Deserializer::TensorRawPtrVector outputs = GetOutputs(graph, layerIndex);
+    CHECK_VALID_SIZE(outputs.size(), 1);
+
+    auto flatBufferDescriptor = graph->layers()->Get(layerIndex)->layer_as_StridedSliceLayer()->descriptor();
+
+    auto flatBufferBegin = flatBufferDescriptor->begin();
+    auto flatBufferEnd = flatBufferDescriptor->end();
+    auto flatBufferStride = flatBufferDescriptor->stride();
+
+    if (!(flatBufferBegin->Length() == flatBufferEnd->Length() &&
+          flatBufferBegin->Length() == flatBufferStride->Length()))
+    {
+        throw ParseException(boost::str(
+            boost::format("The size of the begin, end, and stride must be equal %1%") % CHECK_LOCATION().AsString()));
+    }
+
+    std::vector<int> begin(flatBufferBegin->begin(), flatBufferBegin->end());
+    std::vector<int> end(flatBufferEnd->begin(), flatBufferEnd->end());
+    std::vector<int> stride(flatBufferStride->begin(), flatBufferStride->end());
+
+    armnn::StridedSliceDescriptor descriptor(begin, end, stride);
+    descriptor.m_BeginMask = flatBufferDescriptor->beginMask();
+    descriptor.m_EndMask = flatBufferDescriptor->endMask();
+    descriptor.m_ShrinkAxisMask = flatBufferDescriptor->shrinkAxisMask();
+    descriptor.m_EllipsisMask = flatBufferDescriptor->ellipsisMask();
+    descriptor.m_NewAxisMask = flatBufferDescriptor->newAxisMask();
+    descriptor.m_DataLayout = ToDataLayout(flatBufferDescriptor->dataLayout());
+
+    auto layerName = GetLayerName(graph, layerIndex);
+    IConnectableLayer* layer = m_Network->AddStridedSliceLayer(descriptor, layerName.c_str());
+
+    armnn::TensorInfo outputTensorInfo = ToTensorInfo(outputs[0]);
+    layer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo);
+
+    RegisterInputSlots(graph, layerIndex, layer);
+    RegisterOutputSlots(graph, layerIndex, layer);
+}
+
 void Deserializer::ParseSubtraction(GraphPtr graph, unsigned int layerIndex)
 {
     CHECK_LAYERS(graph, 0, layerIndex);
diff --git a/src/armnnDeserializer/Deserializer.hpp b/src/armnnDeserializer/Deserializer.hpp
index 7595818628..b45551feb0 100644
--- a/src/armnnDeserializer/Deserializer.hpp
+++ b/src/armnnDeserializer/Deserializer.hpp
@@ -95,6 +95,7 @@ private:
     void ParseRsqrt(GraphPtr graph, unsigned int layerIndex);
     void ParseSoftmax(GraphPtr graph, unsigned int layerIndex);
     void ParseSpaceToBatchNd(GraphPtr graph, unsigned int layerIndex);
+    void ParseStridedSlice(GraphPtr graph, unsigned int layerIndex);
     void ParseSubtraction(GraphPtr graph, unsigned int layerIndex);
 
     void RegisterOutputSlotOfConnection(uint32_t connectionIndex, armnn::IOutputSlot* slot);
diff --git a/src/armnnDeserializer/DeserializerSupport.md b/src/armnnDeserializer/DeserializerSupport.md
index 42da558738..a295676a84 100644
--- a/src/armnnDeserializer/DeserializerSupport.md
+++ b/src/armnnDeserializer/DeserializerSupport.md
@@ -30,6 +30,7 @@ The Arm NN SDK Deserialize parser currently supports the following layers:
 * Rsqrt
 * Softmax
 * SpaceToBatchNd
+* StridedSlice
 * Subtraction
 
 More machine learning layers will be supported in future releases.
diff --git a/src/armnnDeserializer/test/DeserializeStridedSlice.cpp b/src/armnnDeserializer/test/DeserializeStridedSlice.cpp
new file mode 100644
index 0000000000..7c273070d9
--- /dev/null
+++ b/src/armnnDeserializer/test/DeserializeStridedSlice.cpp
@@ -0,0 +1,181 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include <boost/test/unit_test.hpp>
+#include "ParserFlatbuffersSerializeFixture.hpp"
+#include "../Deserializer.hpp"
+
+#include <string>
+
+BOOST_AUTO_TEST_SUITE(Deserializer)
+
+struct StridedSliceFixture : public ParserFlatbuffersSerializeFixture
+{
+    explicit StridedSliceFixture(const std::string& inputShape,
+                                 const std::string& begin,
+                                 const std::string& end,
+                                 const std::string& stride,
+                                 const std::string& beginMask,
+                                 const std::string& endMask,
+                                 const std::string& shrinkAxisMask,
+                                 const std::string& ellipsisMask,
+                                 const std::string& newAxisMask,
+                                 const std::string& dataLayout,
+                                 const std::string& outputShape,
+                                 const std::string& dataType)
+    {
+        m_JsonString = R"(
+            {
+                inputIds: [0],
+                outputIds: [2],
+                layers: [
+                    {
+                        layer_type: "InputLayer",
+                        layer: {
+                            base: {
+                                layerBindingId: 0,
+                                base: {
+                                    index: 0,
+                                    layerName: "InputLayer",
+                                    layerType: "Input",
+                                    inputSlots: [{
+                                        index: 0,
+                                        connection: {sourceLayerIndex:0, outputSlotIndex:0 },
+                                    }],
+                                    outputSlots: [{
+                                        index: 0,
+                                        tensorInfo: {
+                                            dimensions: )" + inputShape + R"(,
+                                            dataType: )" + dataType + R"(
+                                        }
+                                    }]
+                                }
+                            }
+                        }
+                    },
+                    {
+                        layer_type: "StridedSliceLayer",
+                        layer: {
+                            base: {
+                                index: 1,
+                                layerName: "StridedSliceLayer",
+                                layerType: "StridedSlice",
+                                inputSlots: [{
+                                    index: 0,
+                                    connection: {sourceLayerIndex:0, outputSlotIndex:0 },
+                                }],
+                                outputSlots: [{
+                                    index: 0,
+                                    tensorInfo: {
+                                        dimensions: )" + outputShape + R"(,
+                                        dataType: )" + dataType + R"(
+                                    }
+                                }]
+                            },
+                            descriptor: {
+                                begin: )" + begin + R"(,
+                                end: )" + end + R"(,
+                                stride: )" + stride + R"(,
+                                beginMask: )" + beginMask + R"(,
+                                endMask: )" + endMask + R"(,
+                                shrinkAxisMask: )" + shrinkAxisMask + R"(,
+                                ellipsisMask: )" + ellipsisMask + R"(,
+                                newAxisMask: )" + newAxisMask + R"(,
+                                dataLayout: )" + dataLayout + R"(,
+                            }
+                        }
+                    },
+                    {
+                        layer_type: "OutputLayer",
+                        layer: {
+                            base:{
+                                layerBindingId: 2,
+                                base: {
+                                    index: 2,
+                                    layerName: "OutputLayer",
+                                    layerType: "Output",
+                                    inputSlots: [{
+                                        index: 0,
+                                        connection: {sourceLayerIndex:1, outputSlotIndex:0 },
+                                    }],
+                                    outputSlots: [{
+                                        index: 0,
+                                        tensorInfo: {
+                                            dimensions: )" + outputShape + R"(,
+                                            dataType: )" + dataType + R"(
+                                        },
+                                    }],
+                                }
+                            }
+                        },
+                    }
+                ]
+            }
+        )";
+        SetupSingleInputSingleOutput("InputLayer", "OutputLayer");
+    }
+};
+
+struct SimpleStridedSliceFixture : StridedSliceFixture
+{
+    SimpleStridedSliceFixture() : StridedSliceFixture("[ 3, 2, 3, 1 ]",
+                                                      "[ 0, 0, 0, 0 ]",
+                                                      "[ 3, 2, 3, 1 ]",
+                                                      "[ 2, 2, 2, 1 ]",
+                                                      "0",
+                                                      "0",
+                                                      "0",
+                                                      "0",
+                                                      "0",
+                                                      "NCHW",
+                                                      "[ 2, 1, 2, 1 ]",
+                                                      "Float32") {}
+};
+
+BOOST_FIXTURE_TEST_CASE(SimpleStridedSliceFloat32, SimpleStridedSliceFixture)
+{
+    RunTest<4, armnn::DataType::Float32>(0,
+                                         {
+                                             1.0f, 1.0f, 1.0f, 2.0f, 2.0f, 2.0f,
+                                             3.0f, 3.0f, 3.0f, 4.0f, 4.0f, 4.0f,
+                                             5.0f, 5.0f, 5.0f, 6.0f, 6.0f, 6.0f
+                                         },
+                                         {
+                                             1.0f, 1.0f, 5.0f, 5.0f
+                                         });
+}
+
+struct StridedSliceMaskFixture : StridedSliceFixture
+{
+    StridedSliceMaskFixture() : StridedSliceFixture("[ 3, 2, 3, 1 ]",
+                                                    "[ 1, 1, 1, 1 ]",
+                                                    "[ 1, 1, 1, 1 ]",
+                                                    "[ 1, 1, 1, 1 ]",
+                                                    "15",
+                                                    "15",
+                                                    "0",
+                                                    "0",
+                                                    "0",
+                                                    "NCHW",
+                                                    "[ 3, 2, 3, 1 ]",
+                                                    "Float32") {}
+};
+
+BOOST_FIXTURE_TEST_CASE(StridedSliceMaskFloat32, StridedSliceMaskFixture)
+{
+    RunTest<4, armnn::DataType::Float32>(0,
+                                         {
+                                             1.0f, 1.0f, 1.0f, 2.0f, 2.0f, 2.0f,
+                                             3.0f, 3.0f, 3.0f, 4.0f, 4.0f, 4.0f,
+                                             5.0f, 5.0f, 5.0f, 6.0f, 6.0f, 6.0f
+                                         },
+                                         {
+                                             1.0f, 1.0f, 1.0f, 2.0f, 2.0f, 2.0f,
+                                             3.0f, 3.0f, 3.0f, 4.0f, 4.0f, 4.0f,
+                                             5.0f, 5.0f, 5.0f, 6.0f, 6.0f, 6.0f
+                                         });
+}
+
+BOOST_AUTO_TEST_SUITE_END()