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authorGeorgios Pinitas <georgios.pinitas@arm.com>2018-06-19 13:09:53 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:53:34 +0000
commit19ea419e7f14d02aeb208c2fbd5a4ac55f4cb101 (patch)
treefe04ed9d40ebb8b717f63490f672a28c5b27d01e /arm_compute/core
parentbb71fe50930f5669a7a325e0fa95fee559856793 (diff)
downloadComputeLibrary-19ea419e7f14d02aeb208c2fbd5a4ac55f4cb101.tar.gz
COMPMID-809: Add NHWC data format on CLGEMMConvolutionLayer.
Change-Id: I50e4f5e7d47e21c300f754bee2c216863075b5cf Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/136191 Tested-by: Jenkins <bsgcomp@arm.com> Reviewed-by: Giorgio Arena <giorgio.arena@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Diffstat (limited to 'arm_compute/core')
-rw-r--r--arm_compute/core/TensorShape.h14
-rw-r--r--arm_compute/core/utils/misc/ShapeCalculator.h1
2 files changed, 15 insertions, 0 deletions
diff --git a/arm_compute/core/TensorShape.h b/arm_compute/core/TensorShape.h
index 0c3d9414e1..0340e1a644 100644
--- a/arm_compute/core/TensorShape.h
+++ b/arm_compute/core/TensorShape.h
@@ -136,6 +136,20 @@ public:
// Make sure all empty dimensions are filled with 1
std::fill(_id.begin() + _num_dimensions, _id.end(), 1);
}
+ /** Shifts right the tensor shape increasing its dimensions
+ *
+ * @param[in] step Rotation step
+ */
+ void shift_right(size_t step)
+ {
+ ARM_COMPUTE_ERROR_ON(step > TensorShape::num_max_dimensions - num_dimensions());
+
+ std::rotate(begin(), begin() + TensorShape::num_max_dimensions - step, end());
+ _num_dimensions += step;
+
+ // Correct number dimensions to ignore trailing dimensions of size 1
+ apply_dimension_correction();
+ }
/** Return a copy with collapsed dimensions starting from a given point.
*
diff --git a/arm_compute/core/utils/misc/ShapeCalculator.h b/arm_compute/core/utils/misc/ShapeCalculator.h
index f64cf9d6ae..115cbe688d 100644
--- a/arm_compute/core/utils/misc/ShapeCalculator.h
+++ b/arm_compute/core/utils/misc/ShapeCalculator.h
@@ -110,6 +110,7 @@ inline TensorShape compute_reductionB_shape(const ITensorInfo &a)
inline TensorShape compute_col2im_shape(const ITensorInfo &input, std::pair<unsigned int, unsigned int> convolved_dims)
{
TensorShape col2im_shape{ input.tensor_shape() };
+ col2im_shape.shift_right(1);
col2im_shape.set(0, convolved_dims.first);
col2im_shape.set(1, convolved_dims.second);
col2im_shape.set(2, input.tensor_shape()[0]);