IVGCVSW-5410 Add front-end support for CAST

IVGCVSW-5415 Add TfLiteParser support for CAST

 * Added front end support for CAST, including support in the
Reference workload, Serialization, Deserializtion, Unit tests, and
TfLiteParser.

Signed-off-by: mathad01 <matthew.haddon@arm.com>
Change-Id: Iaf670ca5912a21ed6bc84f7f83a68b42154846bb

3 files changed, 148 insertions, 0 deletions

diff --git a/src/armnnDeserializer/Deserializer.cpp b/src/armnnDeserializer/Deserializer.cpp
index 89a42b60aa..976986eec3 100644
--- a/src/armnnDeserializer/Deserializer.cpp
+++ b/src/armnnDeserializer/Deserializer.cpp
@@ -216,6 +216,7 @@ m_ParserFunctions(Layer_MAX+1, &IDeserializer::DeserializerImpl::ParseUnsupporte
     m_ParserFunctions[Layer_BatchToSpaceNdLayer]         = &DeserializerImpl::ParseBatchToSpaceNd;
     m_ParserFunctions[Layer_BatchNormalizationLayer]     = &DeserializerImpl::ParseBatchNormalization;
     m_ParserFunctions[Layer_ComparisonLayer]             = &DeserializerImpl::ParseComparison;
+    m_ParserFunctions[Layer_CastLayer]                   = &DeserializerImpl::ParseCast;
     m_ParserFunctions[Layer_ConcatLayer]                 = &DeserializerImpl::ParseConcat;
     m_ParserFunctions[Layer_ConstantLayer]               = &DeserializerImpl::ParseConstant;
     m_ParserFunctions[Layer_Convolution2dLayer]          = &DeserializerImpl::ParseConvolution2d;
@@ -288,6 +289,8 @@ LayerBaseRawPtr IDeserializer::DeserializerImpl::GetBaseLayer(const GraphPtr& gr
             return graphPtr->layers()->Get(layerIndex)->layer_as_BatchToSpaceNdLayer()->base();
         case Layer::Layer_BatchNormalizationLayer:
             return graphPtr->layers()->Get(layerIndex)->layer_as_BatchNormalizationLayer()->base();
+        case Layer::Layer_CastLayer:
+            return graphPtr->layers()->Get(layerIndex)->layer_as_CastLayer()->base();
         case Layer::Layer_ComparisonLayer:
             return graphPtr->layers()->Get(layerIndex)->layer_as_ComparisonLayer()->base();
         case Layer::Layer_ConcatLayer:
@@ -1275,6 +1278,27 @@ void IDeserializer::DeserializerImpl::ParseBatchNormalization(GraphPtr graph, un
     RegisterOutputSlots(graph, layerIndex, layer);
 }
 
+void IDeserializer::DeserializerImpl::ParseCast(GraphPtr graph, unsigned int layerIndex)
+{
+    CHECK_LAYERS(graph, 0, layerIndex);
+    TensorRawPtrVector inputs = GetInputs(graph, layerIndex);
+    CHECK_LOCATION();
+    CHECK_VALID_SIZE(inputs.size(), 1);
+
+    TensorRawPtrVector outputs = GetOutputs(graph, layerIndex);
+    CHECK_VALID_SIZE(outputs.size(), 1);
+
+    auto layerName = GetLayerName(graph, layerIndex);
+
+    IConnectableLayer* layer = m_Network->AddCastLayer(layerName.c_str());
+
+    armnn::TensorInfo outputTensorInfo = ToTensorInfo(outputs[0]);
+    layer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo);
+
+    RegisterInputSlots(graph, layerIndex, layer);
+    RegisterOutputSlots(graph, layerIndex, layer);
+}
+
 void IDeserializer::DeserializerImpl::ParseConstant(GraphPtr graph, unsigned int layerIndex)
 {
     CHECK_LAYERS(graph, 0, layerIndex);
diff --git a/src/armnnDeserializer/Deserializer.hpp b/src/armnnDeserializer/Deserializer.hpp
index f4f64240a0..3465011e65 100644
--- a/src/armnnDeserializer/Deserializer.hpp
+++ b/src/armnnDeserializer/Deserializer.hpp
@@ -84,6 +84,7 @@ private:
     void ParseArgMinMax(GraphPtr graph, unsigned int layerIndex);
     void ParseBatchToSpaceNd(GraphPtr graph, unsigned int layerIndex);
     void ParseBatchNormalization(GraphPtr graph, unsigned int layerIndex);
+    void ParseCast(GraphPtr graph, unsigned int layerIndex);
     void ParseComparison(GraphPtr graph, unsigned int layerIndex);
     void ParseConcat(GraphPtr graph, unsigned int layerIndex);
     void ParseConstant(GraphPtr graph, unsigned int layerIndex);
diff --git a/src/armnnDeserializer/test/DeserializeCast.cpp b/src/armnnDeserializer/test/DeserializeCast.cpp
new file mode 100644
index 0000000000..c8e3e10871
--- /dev/null
+++ b/src/armnnDeserializer/test/DeserializeCast.cpp
@@ -0,0 +1,123 @@
+//
+// Copyright © 2021 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "ParserFlatbuffersSerializeFixture.hpp"
+#include <armnnDeserializer/IDeserializer.hpp>
+
+#include <QuantizeHelper.hpp>
+#include <ResolveType.hpp>
+
+#include <boost/test/unit_test.hpp>
+
+#include <string>
+
+BOOST_AUTO_TEST_SUITE(Deserializer)
+
+
+struct CastFixture : public ParserFlatbuffersSerializeFixture
+{
+    explicit CastFixture(const std::string& inputShape,
+                         const std::string& outputShape,
+                         const std::string& inputDataType,
+                         const std::string& outputDataType)
+    {
+        m_JsonString = R"(
+            {
+                inputIds: [0],
+                outputIds: [2],
+                layers: [
+                    {
+                        layer_type: "InputLayer",
+                        layer: {
+                            base: {
+                                layerBindingId: 0,
+                                base: {
+                                    index: 0,
+                                    layerName: "inputTensor",
+                                    layerType: "Input",
+                                    inputSlots: [{
+                                        index: 0,
+                                        connection: { sourceLayerIndex:0, outputSlotIndex:0 },
+                                    }],
+                                    outputSlots: [{
+                                        index: 0,
+                                        tensorInfo: {
+                                            dimensions: )" + inputShape + R"(,
+                                            dataType: )" + inputDataType + R"(
+                                        }
+                                    }]
+                                }
+                            }
+                        }
+                    },
+                    {
+                        layer_type: "CastLayer",
+                        layer: {
+                            base: {
+                                 index:1,
+                                 layerName: "CastLayer",
+                                 layerType: "Cast",
+                                 inputSlots: [{
+                                     index: 0,
+                                     connection: { sourceLayerIndex:0, outputSlotIndex:0 },
+                                 }],
+                                 outputSlots: [{
+                                     index: 0,
+                                     tensorInfo: {
+                                         dimensions: )" + outputShape + R"(,
+                                         dataType: )" + outputDataType + R"(
+                                     },
+                                 }],
+                            },
+                        },
+                    },
+                    {
+                        layer_type: "OutputLayer",
+                        layer: {
+                            base:{
+                                layerBindingId: 2,
+                                base: {
+                                    index: 2,
+                                    layerName: "outputTensor",
+                                    layerType: "Output",
+                                    inputSlots: [{
+                                        index: 0,
+                                        connection: { sourceLayerIndex:1, outputSlotIndex:0 },
+                                    }],
+                                    outputSlots: [{
+                                        index: 0,
+                                        tensorInfo: {
+                                            dimensions: )" + outputShape + R"(,
+                                            dataType: )" + outputDataType + R"(
+                                        },
+                                    }],
+                                }
+                            }
+                        },
+                    }
+                ]
+            }
+        )";
+        Setup();
+    }
+};
+
+struct SimpleCastFixture : CastFixture
+{
+    SimpleCastFixture() : CastFixture("[ 1, 6 ]",
+                                      "[ 1, 6 ]",
+                                      "Signed32",
+                                      "Float32") {}
+};
+
+BOOST_FIXTURE_TEST_CASE(SimpleCast, SimpleCastFixture)
+{
+RunTest<2, armnn::DataType::Signed32 , armnn::DataType::Float32>(
+0,
+{{"inputTensor",  { 0,   -1,   5,   -100,   200,   -255 }}},
+{{"outputTensor", { 0.0f, -1.0f, 5.0f, -100.0f, 200.0f, -255.0f }}});
+}
+
+BOOST_AUTO_TEST_SUITE_END()