diff options
Diffstat (limited to 'arm_compute/core/utils/misc/ShapeCalculator.h')
| -rw-r--r-- | arm_compute/core/utils/misc/ShapeCalculator.h | 27 |
1 files changed, 19 insertions, 8 deletions
diff --git a/arm_compute/core/utils/misc/ShapeCalculator.h b/arm_compute/core/utils/misc/ShapeCalculator.h index 94bd3aca03..6655cc1439 100644 --- a/arm_compute/core/utils/misc/ShapeCalculator.h +++ b/arm_compute/core/utils/misc/ShapeCalculator.h @@ -1072,13 +1072,14 @@ inline TensorShape compute_slice_shape(const TensorShape &input_shape, const Coo /** Calculate the batch to space output shape of a tensor * - * @param[in] input Input tensor info - * @param[in] block_x Block shape x value - * @param[in] block_y Block shape y value + * @param[in] input Input tensor info + * @param[in] block_x Block shape x value + * @param[in] block_y Block shape y value + * @param[in] crop_info Information about how the output shape is cropped after batch to space is performed * * @return the calculated shape */ -inline TensorShape compute_batch_to_space_shape(const ITensorInfo *input, const int block_x, const int block_y) +inline TensorShape compute_batch_to_space_shape(const ITensorInfo *input, const int block_x, const int block_y, const CropInfo &crop_info = CropInfo{}) { ARM_COMPUTE_ERROR_ON(block_x <= 0 || block_y <= 0); @@ -1088,8 +1089,18 @@ inline TensorShape compute_batch_to_space_shape(const ITensorInfo *input, const 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); + + auto new_width = input->tensor_shape()[idx_width] * block_x; + auto new_height = input->tensor_shape()[idx_height] * block_y; + const auto width_crop = crop_info.left + crop_info.right; + const auto height_crop = crop_info.top + crop_info.bottom; + ARM_COMPUTE_ERROR_ON(new_width <= width_crop); + ARM_COMPUTE_ERROR_ON(new_height <= height_crop); + new_width -= width_crop; + new_height -= height_crop; + + output_shape.set(idx_width, new_width); + output_shape.set(idx_height, new_height); output_shape.set(idx_batch, input->tensor_shape()[idx_batch] / (block_x * block_y)); return output_shape; @@ -1537,14 +1548,14 @@ inline TensorShape compute_pool3d_shape(const TensorShape &src, Pooling3dLayerIn */ inline TensorShape compute_gather_shape(const TensorShape &input_shape, const TensorShape &indices_shape, uint32_t actual_axis) { - const auto input_num_dims = input_shape.num_dimensions(); + const auto input_num_dims = input_shape.num_dimensions(); const auto indices_num_dims = indices_shape.num_dimensions(); ARM_COMPUTE_ERROR_ON(actual_axis >= input_num_dims); ARM_COMPUTE_ERROR_ON(input_num_dims + indices_num_dims - 1 > Coordinates::num_max_dimensions); TensorShape output_shape; - size_t dim_no = 0; + size_t dim_no = 0; for(; dim_no < actual_axis; ++dim_no) { |