lavfi/dnn/dnn_backend_native_layer_mathunary: add exp support

Signed-off-by: Wenlong Ding <wenlong.ding@intel.com>

libavfilter/dnn/dnn_backend_native_layer_mathunary.c

@@ -146,6 +146,10 @@ int ff_dnn_execute_layer_math_unary(DnnOperand *operands, const int32_t *input_o
         for (int i = 0; i < dims_count; ++i)
             dst[i] = round(src[i]);
         return 0;
+    case DMUO_EXP:
+        for (int i = 0; i < dims_count; ++i)
+            dst[i] = exp(src[i]);
+        return 0;
     default:
         av_log(ctx, AV_LOG_ERROR, "Unmatch math unary operator\n");
         return DNN_ERROR;

libavfilter/dnn/dnn_backend_native_layer_mathunary.h

@@ -46,6 +46,7 @@ typedef enum {
     DMUO_CEIL = 13,
     DMUO_FLOOR = 14,
     DMUO_ROUND = 15,
+    DMUO_EXP = 16,
     DMUO_COUNT
 } DNNMathUnaryOperation;
 

tools/python/convert_from_tensorflow.py

@@ -78,7 +78,8 @@ class TFConverter:
         self.mathbin2code = {'Sub':0, 'Add':1, 'Mul':2, 'RealDiv':3, 'Minimum':4, 'FloorMod':5}
         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, 'Round':15}
+                'Acosh':11, 'Atanh':12, 'Ceil':13, 'Floor':14, 'Round':15,
+                'Exp':16}
         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 = 22
+minor = 23