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authorNarumol Prangnawarat <narumol.prangnawarat@arm.com>2020-06-25 11:53:50 +0100
committerNarumol Prangnawarat <narumol.prangnawarat@arm.com>2020-06-26 08:26:52 +0000
commit1db8b822324c4d2c3e55cf3966cfae36757793b5 (patch)
tree4d997cfaec5eb6f00625b6182e96a752a6129b70 /samples
parentfd55dc9a2a5f3e701b165984e3152970fb117f77 (diff)
downloadarmnn-1db8b822324c4d2c3e55cf3966cfae36757793b5.tar.gz
Update comment message on DynamicSample example
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com> Change-Id: I7e67400d7cd2b83aa55320c0739c531625ed32be
Diffstat (limited to 'samples')
-rw-r--r--samples/DynamicSample.cpp4
1 files changed, 2 insertions, 2 deletions
diff --git a/samples/DynamicSample.cpp b/samples/DynamicSample.cpp
index 3abe12f309..ffcc9de083 100644
--- a/samples/DynamicSample.cpp
+++ b/samples/DynamicSample.cpp
@@ -9,8 +9,8 @@
#include <iostream>
-/// A simple example of using the ArmNN SDK API. In this sample, the users single input number is multiplied by 1.0f
-/// using a fully connected layer with a single neuron to produce an output number that is the same as the input.
+/// A simple example of using the ArmNN SDK API with the standalone sample dynamic backend.
+/// In this example, an addition layer is used to add 2 input tensors to produce a result output tensor.
int main()
{
using namespace armnn;