[ONCPUML-968] Fixed format kernel support in additional APIs

Implements required plumbing in order to be able to ask and execute
fixed format kernels from NEFullyConnected, NEGEMM and NEGEMMConv2d.
These APIs are used to accelerate oneDNN primitives (inner product, matrix
multiplication and indirect GEMM respectively) and without changes it
would not be possible to call fixed format kernels from those oneDNN
primitives.

Change-Id: I27534f0491ce28d0ccb98c19f318bd33dcdf2ff5
Signed-off-by: Milos Puzovic <milos.puzovic@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7999
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Reviewed-by: Pablo Marquez Tello <pablo.tello@arm.com>
Reviewed-by: SiCong Li <sicong.li@arm.com>
Reviewed-by: Gunes Bayir <gunes.bayir@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Benchmark: Arm Jenkins <bsgcomp@arm.com>

1 files changed, 49 insertions, 26 deletions

diff --git a/arm_compute/core/Types.h b/arm_compute/core/Types.h
index c87c97cb06..66e1c8ab1f 100644
--- a/arm_compute/core/Types.h
+++ b/arm_compute/core/Types.h
@@ -774,10 +774,10 @@ public:
 
 private:
     std::pair<unsigned int, unsigned int> _stride;
-    unsigned int _pad_left;
-    unsigned int _pad_top;
-    unsigned int _pad_right;
-    unsigned int _pad_bottom;
+    unsigned int                          _pad_left;
+    unsigned int                          _pad_top;
+    unsigned int                          _pad_right;
+    unsigned int                          _pad_bottom;
 
     DimensionRoundingType _round_type;
 };
@@ -919,14 +919,14 @@ public:
     }
 
 private:
-    std::vector<float> _min_sizes;
-    std::vector<float> _variances;
-    float              _offset;
-    bool               _flip;
-    bool               _clip;
-    std::vector<float> _max_sizes;
-    std::vector<float> _aspect_ratios;
-    Coordinates2D      _img_size;
+    std::vector<float>   _min_sizes;
+    std::vector<float>   _variances;
+    float                _offset;
+    bool                 _flip;
+    bool                 _clip;
+    std::vector<float>   _max_sizes;
+    std::vector<float>   _aspect_ratios;
+    Coordinates2D        _img_size;
     std::array<float, 2> _steps;
 };
 
@@ -1171,15 +1171,15 @@ public:
     }
 
 private:
-    unsigned int _max_detections;
-    unsigned int _max_classes_per_detection;
-    float        _nms_score_threshold;
-    float        _iou_threshold;
-    unsigned int _num_classes;
+    unsigned int         _max_detections;
+    unsigned int         _max_classes_per_detection;
+    float                _nms_score_threshold;
+    float                _iou_threshold;
+    unsigned int         _num_classes;
     std::array<float, 4> _scales_values;
-    bool         _use_regular_nms;
-    unsigned int _detection_per_class;
-    bool         _dequantize_scores;
+    bool                 _use_regular_nms;
+    unsigned int         _detection_per_class;
+    bool                 _dequantize_scores;
 };
 
 /** Pooling Layer Information struct*/
@@ -1612,13 +1612,13 @@ public:
     }
 
 private:
-    float _img_width;
-    float _img_height;
-    float _scale;
-    bool  _apply_scale;
-    bool  _correct_transform_coords;
+    float                _img_width;
+    float                _img_height;
+    float                _scale;
+    bool                 _apply_scale;
+    bool                 _correct_transform_coords;
     std::array<float, 4> _weights;
-    float _bbox_xform_clip;
+    float                _bbox_xform_clip;
 };
 
 /** Activation Layer Information class */
@@ -2053,6 +2053,11 @@ public:
     {
         return _weight_format;
     }
+    void set_weight_format(arm_compute::WeightFormat weight_format)
+    {
+        _weight_format = weight_format;
+    }
+
     unsigned int kernel_width() const
     {
         return _kernel_width;
@@ -2495,11 +2500,29 @@ public:
         return _fixed_format;
     }
 
+    /** Set fixed-format flag
+     *
+     * @param[in] fixed_format sets whether or not to use fixed-format kernels
+     */
+    void set_fixed_format(bool fixed_format)
+    {
+        _fixed_format = fixed_format;
+    }
+
     arm_compute::WeightFormat weight_format() const
     {
         return _weight_format;
     }
 
+    /** Set weight format to be used
+     *
+     * @param[in] weight_format arm_compute::WeightFormat enumeration
+     */
+    void set_weight_format(arm_compute::WeightFormat weight_format)
+    {
+        _weight_format = weight_format;
+    }
+
 private:
     bool                                    _is_a_reshaped;
     bool                                    _is_b_reshaped;