aboutsummaryrefslogtreecommitdiff
path: root/src/armnn/backends/RefWorkloads/Merger.hpp
diff options
context:
space:
mode:
Diffstat (limited to 'src/armnn/backends/RefWorkloads/Merger.hpp')
-rw-r--r--src/armnn/backends/RefWorkloads/Merger.hpp14
1 files changed, 7 insertions, 7 deletions
diff --git a/src/armnn/backends/RefWorkloads/Merger.hpp b/src/armnn/backends/RefWorkloads/Merger.hpp
index 7d1bfab557..1294d05e08 100644
--- a/src/armnn/backends/RefWorkloads/Merger.hpp
+++ b/src/armnn/backends/RefWorkloads/Merger.hpp
@@ -29,7 +29,7 @@ void Merger(const MergerQueueDescriptor& data)
for (unsigned int i=0; i<outputInfo0.GetNumDimensions(); i++)
{
dimensionStride /= outputInfo0.GetShape()[i];
- indices[i] = indexRemainder / dimensionStride; // use integer division to round down
+ indices[i] = indexRemainder / dimensionStride; // Use integer division to round down.
indexRemainder -= indices[i] * dimensionStride;
}
@@ -37,11 +37,11 @@ void Merger(const MergerQueueDescriptor& data)
{
MergerQueueDescriptor::ViewOrigin const& view = data.m_ViewOrigins[viewIdx];
- //split view extents are defined by the size of (the corresponding) input tensor
+ //Split view extents are defined by the size of (the corresponding) input tensor.
const TensorInfo& inputInfo = GetTensorInfo(data.m_Inputs[viewIdx]);
BOOST_ASSERT(inputInfo.GetNumDimensions() == outputInfo0.GetNumDimensions());
- // check all dimensions to see if this element is inside the given input view
+ // Check all dimensions to see if this element is inside the given input view.
bool insideView = true;
for (unsigned int i=0; i<inputInfo.GetNumDimensions(); i++)
{
@@ -66,13 +66,13 @@ void Merger(const MergerQueueDescriptor& data)
dimensionStride *= inputInfo.GetShape()[i];
}
- //we are within the view, copy input data to the output corresponding to this view
+ //We are within the view, copy input data to the output corresponding to this view.
(GetOutputTensorData<DataType>(0, data))[index] =
(GetInputTensorData<DataType>(viewIdx, data))[inIndex];
- //what should we do if input views overlap on the output tensor?
- //we could error, take the average, or shm else...
- //for now just stop after finding first view (input) that matches.
+ //What should we do if input views overlap on the output tensor?
+ //We could error, take the average, or shm else...
+ //For now just stop after finding first view (input) that matches.
break;
}
}