dnn_backend_native_layer_mathunary: add cosh support

Signed-off-by: Ting Fu <ting.fu@intel.com>

libavfilter/dnn/dnn_backend_native_layer_mathunary.c

@@ -108,6 +108,10 @@ int dnn_execute_layer_math_unary(DnnOperand *operands, const int32_t *input_oper
         for (int i = 0; i < dims_count; ++i)
             dst[i] = sinh(src[i]);
         return 0;
+    case DMUO_COSH:
+        for (int i = 0; i < dims_count; ++i)
+            dst[i] = cosh(src[i]);
+        return 0;
     default:
         return -1;
     }

libavfilter/dnn/dnn_backend_native_layer_mathunary.h

@@ -38,6 +38,7 @@ typedef enum {
     DMUO_ACOS = 5,
     DMUO_ATAN = 6,
     DMUO_SINH = 7,
+    DMUO_COSH = 8,
     DMUO_COUNT
 } DNNMathUnaryOperation;
 

tools/python/convert_from_tensorflow.py

@@ -72,7 +72,7 @@ class TFConverter:
         self.conv2d_scopename_inputname_dict = {}
         self.op2code = {'Conv2D':1, 'DepthToSpace':2, 'MirrorPad':3, 'Maximum':4, 'MathBinary':5, 'MathUnary':6}
         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}
+        self.mathun2code  = {'Abs':0, 'Sin':1, 'Cos':2, 'Tan':3, 'Asin':4, 'Acos':5, 'Atan':6, 'Sinh':7, 'Cosh':8}
         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 = 13
+minor = 14