IVGCVSW-6114 Create multiple LoadedNetworks from one OptimizedNetwork

 * Added IOptimizedNetwork constructor that takes another
   IOptimizedNetwork and a ModelOptions.
 * Changed PreCompiledLayer to use shared_ptr rather than unique_ptr
   to store the PreCompiledObject (no interface changes).
 * Added unit tests to ensure that PreCompiledLayer::Clone() clones
   the pointer to the PreCompiledObject correctly.

Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I3ef56055e0d189ffce9e651882d34da16c70a240

1 files changed, 23 insertions, 0 deletions

diff --git a/src/backends/backendsCommon/test/CommonTestUtils.hpp b/src/backends/backendsCommon/test/CommonTestUtils.hpp
index 99412b9694..c7537f1eed 100644
--- a/src/backends/backendsCommon/test/CommonTestUtils.hpp
+++ b/src/backends/backendsCommon/test/CommonTestUtils.hpp
@@ -18,6 +18,8 @@
 #include <test/TestUtils.hpp>
 
 #include <algorithm>
+#include <random>
+#include <vector>
 
 // Checks that two collections have the exact same contents (in any order)
 // The given collections do not have to contain duplicates
@@ -94,3 +96,24 @@ armnn::TensorShape MakeTensorShape(unsigned int batches,
                                    unsigned int height,
                                    unsigned int width,
                                    armnn::DataLayout layout);
+
+template<typename DataType>
+static std::vector<DataType> GenerateRandomData(size_t size)
+{
+    constexpr bool isIntegerType = std::is_integral<DataType>::value;
+    using Distribution =
+    typename std::conditional<isIntegerType,
+            std::uniform_int_distribution<DataType>,
+            std::uniform_real_distribution<DataType>>::type;
+
+    static constexpr DataType lowerLimit = std::numeric_limits<DataType>::min();
+    static constexpr DataType upperLimit = std::numeric_limits<DataType>::max();
+
+    static Distribution distribution(lowerLimit, upperLimit);
+    static std::default_random_engine generator;
+
+    std::vector<DataType> randomData(size);
+    generate(randomData.begin(), randomData.end(), []() { return distribution(generator); });
+
+    return randomData;
+}