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| author | Michalis Spyrou <michalis.spyrou@arm.com> | 2019-05-21 13:30:10 +0100 |
|---|---|---|
| committer | Michalis Spyrou <michalis.spyrou@arm.com> | 2019-05-24 11:55:44 +0000 |
| commit | 22f917cfd2282052c447068b188eee0c59f737fd (patch) | |
| tree | 649e16f34ad59cd6d83eb65412003a24d788dea8 /arm_compute/core/utils | |
| parent | 1e6e1b899c1a88d3466cdc6fd097ccf32ff767e3 (diff) | |
| download | ComputeLibrary-22f917cfd2282052c447068b188eee0c59f737fd.tar.gz | |
COMPMID-2240 Implement DEPTH_TO_SPACE for NEON
Change-Id: I705aa0f804093c3628c691e46cca475f2819dc65
Signed-off-by: Michalis Spyrou <michalis.spyrou@arm.com>
Reviewed-on: https://review.mlplatform.org/c/1198
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Giuseppe Rossini <giuseppe.rossini@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'arm_compute/core/utils')
| -rw-r--r-- | arm_compute/core/utils/misc/ShapeCalculator.h | 24 |
1 files changed, 24 insertions, 0 deletions
diff --git a/arm_compute/core/utils/misc/ShapeCalculator.h b/arm_compute/core/utils/misc/ShapeCalculator.h index d66c87fb42..8394bbaed8 100644 --- a/arm_compute/core/utils/misc/ShapeCalculator.h +++ b/arm_compute/core/utils/misc/ShapeCalculator.h @@ -975,6 +975,30 @@ inline TensorShape compute_batch_to_space_shape(const ITensorInfo *input, const return output_shape; } +/** Calculate the depth to space output shape of a tensor + * + * @param[in] input Input tensor info + * @param[in] block Block shape value + * + * @return the calculated shape + */ +inline TensorShape compute_depth_to_space_shape(const ITensorInfo *input, int block) +{ + ARM_COMPUTE_ERROR_ON(block < 2); + + 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); + + TensorShape output_shape{ input->tensor_shape() }; + output_shape.set(idx_width, input->dimension(idx_width) * block); + output_shape.set(idx_height, input->dimension(idx_height) * block); + output_shape.set(idx_channel, input->dimension(idx_channel) / (block * block)); + + return output_shape; +} + /** Calculate the split output shape of a tensor * * @param[in] input Input tensor info |