IVGCVSW-7211 Fix float16 operators being wrongly unsupported with android-nn-driver.

 * Not a concern with the delegate/parser as tflite builtin operators have
   little float16 support
 * Will also fix float16 workloads running on the support_library.

Signed-off-by: Cathal Corbett <cathal.corbett@arm.com>
Change-Id: Iec2033dbc8ece2140b188de1f193c344a68b9c36

1 files changed, 8 insertions, 1 deletions

diff --git a/src/armnn/Network.cpp b/src/armnn/Network.cpp
index 4ac1c459d8..42388bfbd7 100644
--- a/src/armnn/Network.cpp
+++ b/src/armnn/Network.cpp
@@ -626,7 +626,14 @@ OptimizationResult AttemptBackendAssignment(BackendSettings& backendSettings,
     // need to set the compute device on the layer
     // before we can check if it is supported
     layer->SetBackendId(backend);
-    if (!IWorkloadFactory::IsLayerSupported(*layer, EmptyOptional(), reasonIfUnsupported))
+
+    // To run FP16 operations on CpuAcc we need at least v8.2 architecture. If the available architecture 
+    // is older than v8.2, we can check if the operator is supported by changing operator inputs & outputs
+    // to be FP32 and inserting convert layers around the FP32 operator.
+    bool isLayerSupported = IWorkloadFactory::IsLayerSupported(*layer, EmptyOptional(), reasonIfUnsupported);
+    std::string checkStr = "This CPU architecture does not support F16 data type, you need v8.2 or above";
+    if (!isLayerSupported ||
+        reasonIfUnsupported.find(checkStr) != std::string::npos)
     {
         if (dataTypeIn == DataType::Float16 || dataTypeOut == DataType::Float16)
         {