Enable fast_math in CpuFullyConnected

ONCPUML-529
* Add support for passing fast_math for fullyconnected layers via fc_info.
* Add support for passing fast_math to run ACL benchmark graphs.
* Add validation test and accuracy tests (updated fixtures).
Note: abs and rel. tolerance for fast math mode are set based on experimental data.

Signed-off-by: cfRod <crefeda.rodrigues@arm.com>
change-Id: Ib107d6264d3ae5e36555334f39a13e678f8618df
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6521
Reviewed-by: SiCong Li <sicong.li@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>

1 files changed, 9 insertions, 0 deletions

diff --git a/arm_compute/core/Types.h b/arm_compute/core/Types.h
index bff672c361..47df44cb67 100644
--- a/arm_compute/core/Types.h
+++ b/arm_compute/core/Types.h
@@ -1578,6 +1578,7 @@ struct FullyConnectedLayerInfo
     bool       transpose_weights{ true };                  /**<  Transpose weights if true. */
     bool       are_weights_reshaped{ false };              /**<  Reshape the weights tensor if false. */
     bool       retain_internal_weights{ false };           /**<  Retain internal reshaped weights. */
+    bool       enable_fast_math{ false };                  /**<  Enable fast math computation. */
     /* Other parameters */
     bool fp_mixed_precision{ false }; /**<  Use wider accumulators (32 bit instead of 16 for FP16) to improve accuracy. */
 
@@ -2107,6 +2108,14 @@ public:
     {
         return _fast_math;
     };
+    /** Set fast math flag
+     *
+     * @param[in] fast_math Flag to set
+     */
+    void set_fast_math(bool fast_math)
+    {
+        _fast_math = fast_math;
+    }
     /** Flag which specifies whether to broadcast the shape of the bias tensor.
      *
      * @return True if the shape of the bias tensor is to be broadcasted.