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authorMingyu Yin2020-08-23 23:12:13 +0800
committerGuo, Yejun2020-08-24 09:09:11 +0800
commit3477feb6431c1d437acac7b845bb3427ef165d45 (patch)
treebb632a58d0b1026e853654eaab4590a62794e54e
parent37ef1acedb27e037e394600272317fdafa448743 (diff)
dnn_backend_native_layer_mathbinary: add floormod support
Signed-off-by: Mingyu Yin <mingyu.yin@intel.com>
-rw-r--r--libavfilter/dnn/dnn_backend_native_layer_mathbinary.c7
-rw-r--r--libavfilter/dnn/dnn_backend_native_layer_mathbinary.h1
-rw-r--r--tests/dnn/dnn-layer-mathbinary-test.c5
-rw-r--r--tools/python/convert_from_tensorflow.py2
-rw-r--r--tools/python/convert_header.py2
5 files changed, 15 insertions, 2 deletions
diff --git a/libavfilter/dnn/dnn_backend_native_layer_mathbinary.c b/libavfilter/dnn/dnn_backend_native_layer_mathbinary.c
index 38742db7a6..7d81694288 100644
--- a/libavfilter/dnn/dnn_backend_native_layer_mathbinary.c
+++ b/libavfilter/dnn/dnn_backend_native_layer_mathbinary.c
@@ -50,6 +50,10 @@ static float minimum(float src0, float src1)
{
return FFMIN(src0, src1);
}
+static float floormod(float src0, float src1)
+{
+ return (float)((int)(src0) % (int)(src1));
+}
static void math_binary_commutative(FunType pfun, const DnnLayerMathBinaryParams *params, const DnnOperand *input, DnnOperand *output, DnnOperand *operands, const int32_t *input_operand_indexes)
{
@@ -178,6 +182,9 @@ int dnn_execute_layer_math_binary(DnnOperand *operands, const int32_t *input_ope
case DMBO_MINIMUM:
math_binary_commutative(minimum, params, input, output, operands, input_operand_indexes);
return 0;
+ case DMBO_FLOORMOD:
+ math_binary_not_commutative(floormod, params, input, output, operands, input_operand_indexes);
+ return 0;
default:
return -1;
}
diff --git a/libavfilter/dnn/dnn_backend_native_layer_mathbinary.h b/libavfilter/dnn/dnn_backend_native_layer_mathbinary.h
index 0acf3b0ea0..9525685afa 100644
--- a/libavfilter/dnn/dnn_backend_native_layer_mathbinary.h
+++ b/libavfilter/dnn/dnn_backend_native_layer_mathbinary.h
@@ -36,6 +36,7 @@ typedef enum {
DMBO_MUL = 2,
DMBO_REALDIV = 3,
DMBO_MINIMUM = 4,
+ DMBO_FLOORMOD = 5,
DMBO_COUNT
} DNNMathBinaryOperation;
diff --git a/tests/dnn/dnn-layer-mathbinary-test.c b/tests/dnn/dnn-layer-mathbinary-test.c
index e7f8f8557c..5422b2a207 100644
--- a/tests/dnn/dnn-layer-mathbinary-test.c
+++ b/tests/dnn/dnn-layer-mathbinary-test.c
@@ -40,6 +40,8 @@ static float get_expected(float f1, float f2, DNNMathBinaryOperation op)
return f1 / f2;
case DMBO_MINIMUM:
return (f1 < f2) ? f1 : f2;
+ case DMBO_FLOORMOD:
+ return (float)((int)(f1) % (int)(f2));
default:
av_assert0(!"not supported yet");
return 0.f;
@@ -205,5 +207,8 @@ int main(int argc, char **argv)
if (test(DMBO_MINIMUM))
return 1;
+ if (test(DMBO_FLOORMOD))
+ return 1;
+
return 0;
}
diff --git a/tools/python/convert_from_tensorflow.py b/tools/python/convert_from_tensorflow.py
index 3c14bed487..1762091fdd 100644
--- a/tools/python/convert_from_tensorflow.py
+++ b/tools/python/convert_from_tensorflow.py
@@ -73,7 +73,7 @@ class TFConverter:
self.conv2d_scopename_inputname_dict = {}
self.op2code = {'Conv2D':1, 'DepthToSpace':2, 'MirrorPad':3, 'Maximum':4,
'MathBinary':5, 'MathUnary':6, 'AvgPool':7}
- self.mathbin2code = {'Sub':0, 'Add':1, 'Mul':2, 'RealDiv':3, 'Minimum':4}
+ 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}
diff --git a/tools/python/convert_header.py b/tools/python/convert_header.py
index 747c8776eb..782a6341f9 100644
--- a/tools/python/convert_header.py
+++ b/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 = 21
+minor = 22