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lavfi/dnn/dnn_backend_native_layer_mathunary: add exp support
Signed-off-by: Wenlong Ding <wenlong.ding@intel.com>
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@ -146,6 +146,10 @@ int ff_dnn_execute_layer_math_unary(DnnOperand *operands, const int32_t *input_o
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for (int i = 0; i < dims_count; ++i)
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for (int i = 0; i < dims_count; ++i)
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dst[i] = round(src[i]);
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dst[i] = round(src[i]);
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return 0;
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return 0;
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case DMUO_EXP:
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for (int i = 0; i < dims_count; ++i)
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dst[i] = exp(src[i]);
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return 0;
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default:
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default:
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av_log(ctx, AV_LOG_ERROR, "Unmatch math unary operator\n");
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av_log(ctx, AV_LOG_ERROR, "Unmatch math unary operator\n");
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return DNN_ERROR;
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return DNN_ERROR;
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@ -46,6 +46,7 @@ typedef enum {
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DMUO_CEIL = 13,
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DMUO_CEIL = 13,
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DMUO_FLOOR = 14,
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DMUO_FLOOR = 14,
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DMUO_ROUND = 15,
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DMUO_ROUND = 15,
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DMUO_EXP = 16,
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DMUO_COUNT
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DMUO_COUNT
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} DNNMathUnaryOperation;
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} DNNMathUnaryOperation;
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@ -78,7 +78,8 @@ class TFConverter:
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self.mathbin2code = {'Sub':0, 'Add':1, 'Mul':2, 'RealDiv':3, 'Minimum':4, 'FloorMod':5}
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self.mathbin2code = {'Sub':0, 'Add':1, 'Mul':2, 'RealDiv':3, 'Minimum':4, 'FloorMod':5}
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self.mathun2code = {'Abs':0, 'Sin':1, 'Cos':2, 'Tan':3, 'Asin':4,
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self.mathun2code = {'Abs':0, 'Sin':1, 'Cos':2, 'Tan':3, 'Asin':4,
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'Acos':5, 'Atan':6, 'Sinh':7, 'Cosh':8, 'Tanh':9, 'Asinh':10,
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'Acos':5, 'Atan':6, 'Sinh':7, 'Cosh':8, 'Tanh':9, 'Asinh':10,
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'Acosh':11, 'Atanh':12, 'Ceil':13, 'Floor':14, 'Round':15}
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'Acosh':11, 'Atanh':12, 'Ceil':13, 'Floor':14, 'Round':15,
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'Exp':16}
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self.mirrorpad_mode = {'CONSTANT':0, 'REFLECT':1, 'SYMMETRIC':2}
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self.mirrorpad_mode = {'CONSTANT':0, 'REFLECT':1, 'SYMMETRIC':2}
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self.name_operand_dict = {}
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self.name_operand_dict = {}
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@ -23,4 +23,4 @@ str = 'FFMPEGDNNNATIVE'
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major = 1
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major = 1
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# increase minor when we don't have to re-convert the model file
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# increase minor when we don't have to re-convert the model file
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minor = 22
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minor = 23
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