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| author | Manuel Bottini <manuel.bottini@arm.com> | 2019-05-17 14:04:22 +0100 |
|---|---|---|
| committer | Manuel Bottini <manuel.bottini@arm.com> | 2019-05-29 14:58:16 +0000 |
| commit | 5b7d537d918becb894d94d91726ce79e63d72fc1 (patch) | |
| tree | e2375032d20cae479d026061a075ca63800d4532 /arm_compute/core/utils | |
| parent | 088d7b4c6b9bde97b3b7f83ebce047377c810997 (diff) | |
| download | ComputeLibrary-5b7d537d918becb894d94d91726ce79e63d72fc1.tar.gz | |
COMPMID-2237
Implement SPACE_TO_DEPTH for NEON
Change-Id: I9f427bceca6da52671e0096be08772612f4be152
Signed-off-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-on: https://review.mlplatform.org/c/1227
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com>
Diffstat (limited to 'arm_compute/core/utils')
| -rw-r--r-- | arm_compute/core/utils/misc/ShapeCalculator.h | 23 |
1 files changed, 23 insertions, 0 deletions
diff --git a/arm_compute/core/utils/misc/ShapeCalculator.h b/arm_compute/core/utils/misc/ShapeCalculator.h index 8394bbaed8..7eab17ba11 100644 --- a/arm_compute/core/utils/misc/ShapeCalculator.h +++ b/arm_compute/core/utils/misc/ShapeCalculator.h @@ -1058,6 +1058,29 @@ inline TensorShape compute_space_to_batch_shape(const ITensorInfo *input, const return output_shape; } +/** Calculate the space to batch output shape of a tensor + * + * @param[in] input Input tensor info + * @param[in] block_shape Block shape value + * + * @return the calculated shape + */ +inline TensorShape compute_space_to_depth_shape(const ITensorInfo *input, int32_t block_shape) +{ + TensorShape output_shape{ input->tensor_shape() }; + + 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_depth = get_data_layout_dimension_index(data_layout, DataLayoutDimension::CHANNEL); + + output_shape.set(idx_width, input->tensor_shape()[idx_width] * block_shape); + output_shape.set(idx_height, input->tensor_shape()[idx_height] * block_shape); + output_shape.set(idx_depth, input->tensor_shape()[idx_depth] / (block_shape * block_shape)); + + return output_shape; +} + /** Calculate the prior box output shape of a tensor * * @param[in] input Input tensor info |