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authorGian Marco Iodice <gianmarco.iodice@arm.com>2017-08-08 08:38:09 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-09-17 14:18:34 +0100
commit559d77179bfe8daaeb1f6754ee2287bd12a6aa04 (patch)
treef9a39dd27b1721f1f6a2794dcfde9a34cba03480 /arm_compute/core/Types.h
parent6203153b25fda2c4b8d94fe71337d1145a36c132 (diff)
downloadComputeLibrary-559d77179bfe8daaeb1f6754ee2287bd12a6aa04.tar.gz
COMPMID-417 - Fixed auto-config in NEConvolutionLayer and in CLConvolutionLayer
Change-Id: Ibfd772200348b326738bb3b8357f0abbb7a583d7 Reviewed-on: http://mpd-gerrit.cambridge.arm.com/82943 Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Reviewed-by: Moritz Pflanzer <moritz.pflanzer@arm.com> Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Diffstat (limited to 'arm_compute/core/Types.h')
-rw-r--r--arm_compute/core/Types.h18
1 files changed, 14 insertions, 4 deletions
diff --git a/arm_compute/core/Types.h b/arm_compute/core/Types.h
index 3092976149..1d04f35359 100644
--- a/arm_compute/core/Types.h
+++ b/arm_compute/core/Types.h
@@ -607,13 +607,13 @@ private:
float _kappa;
};
-/** Convolution Layer Weights Information class */
+/** Convolution Layer Weights Information class. This class stores the necessary information to compute convolution layer when the weights are already reshaped */
class WeightsInfo
{
public:
/** Default constructor */
WeightsInfo()
- : _are_reshaped(false), _kernel_width(0), _kernel_height(0)
+ : _are_reshaped(false), _kernel_width(0), _kernel_height(0), _num_kernels(0)
{
}
/** Constructor
@@ -621,9 +621,10 @@ public:
* @param[in] are_reshaped True if the weights have been reshaped
* @param[in] kernel_width Kernel width.
* @param[in] kernel_height Kernel height.
+ * @param[in] num_kernels Number of convolution kernels.
*/
- WeightsInfo(bool are_reshaped, unsigned int kernel_width, unsigned int kernel_height)
- : _are_reshaped(are_reshaped), _kernel_width(kernel_width), _kernel_height(kernel_height)
+ WeightsInfo(bool are_reshaped, unsigned int kernel_width, unsigned int kernel_height, unsigned int num_kernels)
+ : _are_reshaped(are_reshaped), _kernel_width(kernel_width), _kernel_height(kernel_height), _num_kernels(num_kernels)
{
}
/** Flag which specifies if the weights tensor has been reshaped.
@@ -634,6 +635,14 @@ public:
{
return _are_reshaped;
};
+ /** Return the number of convolution kernels
+ *
+ * @return The number of convolution kernels
+ */
+ unsigned int num_kernels() const
+ {
+ return _num_kernels;
+ };
/** Return the width and height of the kernel
*
* @return The width and height of the kernel
@@ -647,6 +656,7 @@ private:
const bool _are_reshaped;
const unsigned int _kernel_width;
const unsigned int _kernel_height;
+ const unsigned int _num_kernels;
};
/** IO formatting information class*/