diff options
Diffstat (limited to 'arm_compute/core/utils/misc/ShapeCalculator.h')
| -rw-r--r-- | arm_compute/core/utils/misc/ShapeCalculator.h | 31 |
1 files changed, 31 insertions, 0 deletions
diff --git a/arm_compute/core/utils/misc/ShapeCalculator.h b/arm_compute/core/utils/misc/ShapeCalculator.h index dfccec8b37..bc85c6986f 100644 --- a/arm_compute/core/utils/misc/ShapeCalculator.h +++ b/arm_compute/core/utils/misc/ShapeCalculator.h @@ -809,6 +809,37 @@ inline TensorShape compute_pool_shape(const ITensorInfo &input, PoolingLayerInfo return output_shape; } +/** Calculate the output unpool shape of a tensor + * + * @param[in] input Input tensor info + * @param[in] pool_info Pooling layer info + * + * @return the calculated shape + */ +inline TensorShape compute_unpool_shape(const ITensorInfo &input, PoolingLayerInfo pool_info) +{ + const unsigned int idx_width = get_data_layout_dimension_index(input.data_layout(), DataLayoutDimension::WIDTH); + const unsigned int idx_height = get_data_layout_dimension_index(input.data_layout(), DataLayoutDimension::HEIGHT); + const TensorShape input_shape = input.tensor_shape(); + ARM_COMPUTE_ERROR_ON(input_shape[idx_height] <= 1 || input_shape[idx_width] <= 1); + const PadStrideInfo pad_stride_info = pool_info.pad_stride_info; + const unsigned int stride_x = pad_stride_info.stride().first; + const unsigned int stride_y = pad_stride_info.stride().second; + + const int pad_left = pad_stride_info.pad_left(); + const int pad_top = pad_stride_info.pad_top(); + const int pad_right = pad_stride_info.pad_right(); + const int pad_bottom = pad_stride_info.pad_bottom(); + + TensorShape output_shape = input_shape; + const unsigned int out_width = (input_shape[idx_width] - 1) * stride_x - pad_left - pad_right + pool_info.pool_size.width; + const unsigned int out_height = (input_shape[idx_height] - 1) * stride_y - pad_top - pad_bottom + pool_info.pool_size.height; + + output_shape.set(idx_width, out_width); + output_shape.set(idx_height, out_height); + return output_shape; +} + /** Calculate the output roi align shape of a tensor * * @param[in] input Input tensor info |