MLCE-347 Bug fixes in Reduce: QueueDescriptor.validate and init REDUCE_MIN

* Allow input tensors of any rank in ReduceQueueDescriptor::validate
* Fix VTS tests failing for REDUCE_MIN due to initialization

Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Id8fba1662ade4e0a967093fe5a53b275847f2393

1 files changed, 14 insertions, 10 deletions

diff --git a/src/backends/reference/workloads/Reduce.cpp b/src/backends/reference/workloads/Reduce.cpp
index 31c6262c9a..392ef8e5ba 100644
--- a/src/backends/reference/workloads/Reduce.cpp
+++ b/src/backends/reference/workloads/Reduce.cpp
@@ -81,17 +81,21 @@ void Reduce(const TensorInfo& inputInfo,
 
     // Initialise temp output
     std::vector<float> tempOut(numOutputs);
-    if (reduceOperation == ReduceOperation::Max || reduceOperation == ReduceOperation::Min)
+    switch(reduceOperation)
     {
-        for (unsigned int idx = 0; idx < numOutputs; ++idx)
-        {
-            input[idx];
-            tempOut[idx] = input.Get();
-        }
-    }
-    else
-    {
-        std::fill(tempOut.begin(), tempOut.end(), 0.0);
+        case ReduceOperation::Mean:
+        case ReduceOperation::Sum:
+            std::fill(tempOut.begin(), tempOut.end(), 0.0);
+            break;
+        case ReduceOperation::Max:
+            std::fill(tempOut.begin(), tempOut.end(), -1 * std::numeric_limits<float>::max());
+            break;
+        case ReduceOperation::Min:
+            std::fill(tempOut.begin(), tempOut.end(), std::numeric_limits<float>::max());
+            break;
+        default:
+            throw armnn::InvalidArgumentException("Unknown reduce method: " +
+                std::to_string(static_cast<int>(reduceOperation)));
     }
 
     // Initialise temp index