Add `batches` options in the graph examples
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: Ib0442a25cb60793f530e1cff5e2aaf167d4a6950
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5812
Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
diff --git a/examples/graph_resnet12.cpp b/examples/graph_resnet12.cpp
index 8818cf7..48708ce 100644
--- a/examples/graph_resnet12.cpp
+++ b/examples/graph_resnet12.cpp
@@ -84,7 +84,7 @@
std::unique_ptr<IPreprocessor> preprocessor = std::make_unique<TFPreproccessor>();
// Create input descriptor
- const TensorShape tensor_shape = permute_shape(TensorShape(image_width, image_height, 3U, 1U), DataLayout::NCHW, common_params.data_layout);
+ const TensorShape tensor_shape = permute_shape(TensorShape(image_width, image_height, 3U, common_params.batches), DataLayout::NCHW, common_params.data_layout);
TensorDescriptor input_descriptor = TensorDescriptor(tensor_shape, common_params.data_type).set_layout(common_params.data_layout);
// Set weights trained layout