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Diffstat (limited to 'arm_compute/core/utils/misc/ShapeCalculator.h')
-rw-r--r--arm_compute/core/utils/misc/ShapeCalculator.h16
1 files changed, 11 insertions, 5 deletions
diff --git a/arm_compute/core/utils/misc/ShapeCalculator.h b/arm_compute/core/utils/misc/ShapeCalculator.h
index 2db7b28161..e88fd8d75e 100644
--- a/arm_compute/core/utils/misc/ShapeCalculator.h
+++ b/arm_compute/core/utils/misc/ShapeCalculator.h
@@ -528,12 +528,12 @@ inline TensorShape compute_batch_to_space_shape(const ITensorInfo *input, const
const DataLayout data_layout = input->data_layout();
const int idx_width = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH);
const int idx_height = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT);
- const int idx_channel = get_data_layout_dimension_index(data_layout, DataLayoutDimension::CHANNEL);
+ const int idx_batch = get_data_layout_dimension_index(data_layout, DataLayoutDimension::BATCHES);
TensorShape output_shape{ input->tensor_shape() };
output_shape.set(idx_width, input->tensor_shape()[idx_width] * block_x);
output_shape.set(idx_height, input->tensor_shape()[idx_height] * block_y);
- output_shape.set(3, input->tensor_shape()[idx_channel] / (block_x * block_y));
+ output_shape.set(idx_batch, input->tensor_shape()[idx_batch] / (block_x * block_y));
return output_shape;
}
@@ -566,9 +566,15 @@ inline TensorShape compute_split_shape(const ITensorInfo *input, unsigned int ax
inline TensorShape compute_space_to_batch_shape(const ITensorInfo *input, const int block_x, const int block_y, const Size2D &padding_left, const Size2D &padding_right)
{
TensorShape output_shape{ input->tensor_shape() };
- output_shape.set(0, input->tensor_shape()[0] * block_x + padding_left.x() + padding_right.x());
- output_shape.set(1, input->tensor_shape()[1] * block_y + padding_left.y() + padding_right.y());
- output_shape.set(3, input->tensor_shape()[3] / (block_x * block_y));
+
+ const DataLayout data_layout = input->data_layout();
+ const int idx_width = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH);
+ const int idx_height = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT);
+ const int idx_batch = get_data_layout_dimension_index(data_layout, DataLayoutDimension::BATCHES);
+
+ output_shape.set(idx_width, input->tensor_shape()[idx_width] * block_x + padding_left.x() + padding_right.x());
+ output_shape.set(idx_height, input->tensor_shape()[idx_height] * block_y + padding_left.y() + padding_right.y());
+ output_shape.set(idx_batch, input->tensor_shape()[idx_batch] / (block_x * block_y));
return output_shape;
}