IVGCVSW-7174 Add Reshape support to TOSA Reference Backend

 * Spelling corrections and code refactors added to TosaCommon
 * TosaDTypeToString() implemented and used in TosaRef IsLayerSupported()
   instead of enum integer.
 * Using namespace armnn in TosaCommon OneToOneMappingTests and
   TosaReference TosaRefLayerSupportTests instead of armnn::ClassName.
 * Updated VerifyTosaAttribute() to also verify certain attributes
   from input and output shapes.

Signed-off-by: Cathal Corbett <cathal.corbett@arm.com>
Change-Id: I71dfca404d081a665f748ab724153c6dc36b7eca

1 files changed, 54 insertions, 0 deletions

diff --git a/src/backends/tosaCommon/operatorMappings/ReshapeOperator.cpp b/src/backends/tosaCommon/operatorMappings/ReshapeOperator.cpp
new file mode 100644
index 0000000000..b88a6ef894
--- /dev/null
+++ b/src/backends/tosaCommon/operatorMappings/ReshapeOperator.cpp
@@ -0,0 +1,54 @@
+//
+// Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "ReshapeOperator.hpp"
+
+TosaSerializationBasicBlock* ConvertReshapeToTosaOperator(const Layer* layer,
+                                                          const std::vector<const TensorInfo*>& inputs,
+                                                          const std::vector<const TensorInfo*>& outputs,
+                                                          const ReshapeDescriptor* reshapeDescriptor)
+{
+    std::string inputName = std::string("input0_");
+    std::string outputName = std::string("output0_");
+    std::string blockName  = std::string("Op_RESHAPE_block_") + GetUniqueTosaMappingID();
+
+    // If a layer is present then the block will be used for execution, so input and output names need to be determined
+    // using the previous and following layers so the graph is connected correctly. For validation this doesn't matter.
+    if(layer != nullptr)
+    {
+        // Get the layers connected to the input slots and determine unique layer names.
+        Layer& connectedLayer = layer->GetInputSlot(0).GetConnectedOutputSlot()->GetOwningLayer();
+        inputName = GenerateUniqueName(connectedLayer, 0);
+
+        // Get the layer connected to the output slot and determine unique layer name.
+        Layer& connectedOutputLayer = layer->GetOutputSlot().GetConnection(0)->GetOwningLayer();
+        outputName = GenerateUniqueName(connectedOutputLayer, 0);
+    }
+
+    TosaReshapeAttribute attribute(GetTosaTensorShape(reshapeDescriptor->m_TargetShape));
+
+    auto* op = new TosaSerializationOperator(Op_RESHAPE,
+                                             Attribute_ReshapeAttribute,
+                                             &attribute,
+                                             {inputName},
+                                             {outputName});
+
+    std::vector<int32_t> inputShape = GetTosaTensorShape(inputs[0]->GetShape());
+    DType inputDType = ArmNNToDType(inputs[0]->GetDataType());
+
+    std::vector<int32_t> outputShape = GetTosaTensorShape(outputs[0]->GetShape());
+    DType outputDType = ArmNNToDType(outputs[0]->GetDataType());
+
+    auto* inputTensor  = new TosaSerializationTensor(inputName, inputShape, inputDType, {});
+    auto* outputTensor = new TosaSerializationTensor(outputName, outputShape, outputDType, {});
+
+    // operatorInputNames/operatorOutputNames ends up being the same as
+    // blockInputNames/blockOutputNames for one-to-one ArmNN to TOSA mappings
+    return new TosaSerializationBasicBlock(blockName, // name
+                                           {op}, // operators
+                                           {inputTensor, outputTensor}, // tensors
+                                           {inputName}, // inputs
+                                           {outputName}); // outputs
+}
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