dnn_backend_native_layer_mathunary: add round support

Signed-off-by: Mingyu Yin <mingyu.yin@intel.com>
Reviewed-by: Guo, Yejun <yejun.guo@intel.com>

libavfilter/dnn/dnn_backend_native_layer_mathunary.c

@@ -138,6 +138,10 @@ int dnn_execute_layer_math_unary(DnnOperand *operands, const int32_t *input_oper
         for (int i = 0; i < dims_count; ++i)
             dst[i] = floor(src[i]);
         return 0;
+    case DMUO_ROUND:
+        for (int i = 0; i < dims_count; ++i)
+            dst[i] = round(src[i]);
+        return 0;
     default:
         return -1;
     }

libavfilter/dnn/dnn_backend_native_layer_mathunary.h

@@ -45,6 +45,7 @@ typedef enum {
     DMUO_ATANH = 12,
     DMUO_CEIL = 13,
     DMUO_FLOOR = 14,
+    DMUO_ROUND = 15,
     DMUO_COUNT
 } DNNMathUnaryOperation;
 

tests/dnn/dnn-layer-mathunary-test.c

@@ -60,6 +60,8 @@ static float get_expected(float f, DNNMathUnaryOperation op)
         return ceil(f);
     case DMUO_FLOOR:
         return floor(f);
+    case DMUO_ROUND:
+        return round(f);
     default:
         av_assert0(!"not supported yet");
         return 0.f;
@@ -136,5 +138,7 @@ int main(int agrc, char **argv)
         return 1;
     if (test(DMUO_FLOOR))
         return 1;
+    if (test(DMUO_ROUND))
+        return 1;
     return 0;
 }

tools/python/convert_from_tensorflow.py

@@ -76,7 +76,7 @@ class TFConverter:
         self.mathbin2code = {'Sub':0, 'Add':1, 'Mul':2, 'RealDiv':3, 'Minimum':4}
         self.mathun2code  = {'Abs':0, 'Sin':1, 'Cos':2, 'Tan':3, 'Asin':4,
                 'Acos':5, 'Atan':6, 'Sinh':7, 'Cosh':8, 'Tanh':9, 'Asinh':10,
-                'Acosh':11, 'Atanh':12, 'Ceil':13, 'Floor':14}
+                'Acosh':11, 'Atanh':12, 'Ceil':13, 'Floor':14, 'Round':15}
         self.mirrorpad_mode = {'CONSTANT':0, 'REFLECT':1, 'SYMMETRIC':2}
         self.name_operand_dict = {}
 

tools/python/convert_header.py

@@ -23,4 +23,4 @@ str = 'FFMPEGDNNNATIVE'
 major = 1
 
 # increase minor when we don't have to re-convert the model file
-minor = 20
+minor = 21