diff options
Diffstat (limited to 'arm_compute/core/utils/misc/ShapeCalculator.h')
| -rw-r--r-- | arm_compute/core/utils/misc/ShapeCalculator.h | 10 |
1 files changed, 6 insertions, 4 deletions
diff --git a/arm_compute/core/utils/misc/ShapeCalculator.h b/arm_compute/core/utils/misc/ShapeCalculator.h index 115cbe688d..221387649f 100644 --- a/arm_compute/core/utils/misc/ShapeCalculator.h +++ b/arm_compute/core/utils/misc/ShapeCalculator.h @@ -255,12 +255,14 @@ inline TensorShape compute_winograd_input_transform_shape(const ITensorInfo &inp const size_t idx_h = get_data_layout_dimension_index(input.data_layout(), DataLayoutDimension::HEIGHT); const size_t idx_c = get_data_layout_dimension_index(input.data_layout(), DataLayoutDimension::CHANNEL); - // Compute height - const unsigned int num_tiles_x = std::ceil((input.tensor_shape()[idx_w] - (kernel_size.width - 1) + conv_info.pad_left() + conv_info.pad_right()) / static_cast<float>(output_tile_size.width)); - const unsigned int num_tiles_y = std::ceil((input.tensor_shape()[idx_h] - (kernel_size.height - 1) + conv_info.pad_top() + conv_info.pad_bottom()) / static_cast<float>(output_tile_size.height)); + // Compute the number of output tiles along the x and y direction of size "output_tile_size" + const Size2D num_tiles = compute_winograd_convolution_tiles(Size2D(input.tensor_shape()[idx_w], input.tensor_shape()[idx_h]), + kernel_size, + output_tile_size, + conv_info); const unsigned int width = input.tensor_shape()[idx_c]; - const unsigned int height = num_tiles_x * num_tiles_y; + const unsigned int height = num_tiles.area(); const unsigned int depth = input_tile_size.area(); TensorShape output_shape{ input.tensor_shape() }; |