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, 91 insertions, 0 deletions

diff --git a/src/backends/backendsCommon/test/ReshapeEndToEndTestImpl.hpp b/src/backends/backendsCommon/test/ReshapeEndToEndTestImpl.hpp
new file mode 100644
index 0000000000..4cefb6d352
--- /dev/null
+++ b/src/backends/backendsCommon/test/ReshapeEndToEndTestImpl.hpp
@@ -0,0 +1,91 @@
+//
+// Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+#pragma once
+
+#include <armnn/INetwork.hpp>
+
+#include <CommonTestUtils.hpp>
+#include <ResolveType.hpp>
+
+#include <doctest/doctest.h>
+
+namespace
+{
+
+template<typename armnn::DataType DataType>
+armnn::INetworkPtr CreateReshapeNetwork(const armnn::TensorShape& inputShape,
+                                        const armnn::TensorShape& outputShape,
+                                        const armnn::ReshapeDescriptor& descriptor,
+                                        const float qScale = 1.0f,
+                                        const int32_t qOffset = 0)
+{
+    using namespace armnn;
+
+    INetworkPtr network(INetwork::Create());
+
+    TensorInfo inputTensorInfo(inputShape, DataType, qScale, qOffset, true);
+    TensorInfo outputTensorInfo(outputShape, DataType, qScale, qOffset);
+
+
+    IConnectableLayer* reshape = network->AddReshapeLayer(descriptor, "reshape");
+    IConnectableLayer* input   = network->AddInputLayer(0, "input");
+    IConnectableLayer* output  = network->AddOutputLayer(0, "output");
+
+    Connect(input, reshape, inputTensorInfo, 0, 0);
+    Connect(reshape, output, outputTensorInfo, 0, 0);
+
+    return network;
+}
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+void ReshapeEndToEnd(const std::vector<armnn::BackendId>& backends)
+{
+    using namespace armnn;
+
+    const TensorShape& inputShape = { 2, 3 };
+    const TensorShape& outputShape = { 6 };
+
+    ReshapeDescriptor descriptor;
+    descriptor.m_TargetShape = outputShape;
+
+    INetworkPtr network = CreateReshapeNetwork<ArmnnType>(inputShape, outputShape, descriptor);
+
+    CHECK(network);
+
+    std::vector<T> data{ 1, 2, 3,
+                         4, 5, 6 };
+
+    std::map<int, std::vector<T>> inputTensorData = { { 0, data } };
+    std::map<int, std::vector<T>> expectedOutputData = { { 0, data } };
+
+    EndToEndLayerTestImpl<ArmnnType, ArmnnType>(std::move(network), inputTensorData, expectedOutputData, backends);
+}
+
+template<armnn::DataType ArmnnType>
+void ReshapeEndToEndFloat16(const std::vector<armnn::BackendId>& backends)
+{
+    using namespace armnn;
+    using namespace half_float::literal;
+    using Half = half_float::half;
+
+    const TensorShape& inputShape = { 2, 3 };
+    const TensorShape& outputShape = { 6 };
+
+    ReshapeDescriptor descriptor;
+    descriptor.m_TargetShape = outputShape;
+
+    INetworkPtr network = CreateReshapeNetwork<ArmnnType>(inputShape, outputShape, descriptor);
+    CHECK(network);
+
+    std::vector<Half> data{ 1._h, 2._h, 3._h,
+                            4._h, 5._h, 6._h };
+
+    std::map<int, std::vector<Half>> inputTensorData = { { 0, data } };
+    std::map<int, std::vector<Half>> expectedOutputData = { { 0, data } };
+
+    EndToEndLayerTestImpl<ArmnnType, ArmnnType>(std::move(network), inputTensorData, expectedOutputData, backends);
+}
+
+} // anonymous namespace