1# automatically generated by the FlatBuffers compiler, do not modify 2 3# namespace: MNN 4 5import flatbuffers 6 7class Convolution2DCommon(object): 8 __slots__ = ['_tab'] 9 10 @classmethod 11 def GetRootAsConvolution2DCommon(cls, buf, offset): 12 n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset) 13 x = Convolution2DCommon() 14 x.Init(buf, n + offset) 15 return x 16 17 # Convolution2DCommon 18 def Init(self, buf, pos): 19 self._tab = flatbuffers.table.Table(buf, pos) 20 21 # Convolution2DCommon 22 def PadX(self): 23 o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4)) 24 if o != 0: 25 return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos) 26 return 0 27 28 # Convolution2DCommon 29 def PadY(self): 30 o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6)) 31 if o != 0: 32 return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos) 33 return 0 34 35 # Convolution2DCommon 36 def KernelX(self): 37 o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8)) 38 if o != 0: 39 return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos) 40 return 1 41 42 # Convolution2DCommon 43 def KernelY(self): 44 o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10)) 45 if o != 0: 46 return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos) 47 return 1 48 49 # Convolution2DCommon 50 def StrideX(self): 51 o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12)) 52 if o != 0: 53 return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos) 54 return 1 55 56 # Convolution2DCommon 57 def StrideY(self): 58 o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(14)) 59 if o != 0: 60 return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos) 61 return 1 62 63 # Convolution2DCommon 64 def DilateX(self): 65 o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(16)) 66 if o != 0: 67 return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos) 68 return 1 69 70 # Convolution2DCommon 71 def DilateY(self): 72 o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(18)) 73 if o != 0: 74 return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos) 75 return 1 76 77 # Convolution2DCommon 78 def PadMode(self): 79 o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(20)) 80 if o != 0: 81 return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos) 82 return 0 83 84 # Convolution2DCommon 85 def Group(self): 86 o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(22)) 87 if o != 0: 88 return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos) 89 return 1 90 91 # Convolution2DCommon 92 def OutputCount(self): 93 o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(24)) 94 if o != 0: 95 return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos) 96 return 0 97 98 # Convolution2DCommon 99 def InputCount(self): 100 o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(26)) 101 if o != 0: 102 return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos) 103 return 0 104 105 # Convolution2DCommon 106 def Relu(self): 107 o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(28)) 108 if o != 0: 109 return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos)) 110 return False 111 112 # Convolution2DCommon 113 def Relu6(self): 114 o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(30)) 115 if o != 0: 116 return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos)) 117 return False 118 119 # Convolution2DCommon 120 def Pads(self, j): 121 o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(32)) 122 if o != 0: 123 a = self._tab.Vector(o) 124 return self._tab.Get(flatbuffers.number_types.Int32Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 4)) 125 return 0 126 127 # Convolution2DCommon 128 def PadsAsNumpy(self): 129 o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(32)) 130 if o != 0: 131 return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int32Flags, o) 132 return 0 133 134 # Convolution2DCommon 135 def PadsLength(self): 136 o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(32)) 137 if o != 0: 138 return self._tab.VectorLen(o) 139 return 0 140 141def Convolution2DCommonStart(builder): builder.StartObject(15) 142def Convolution2DCommonAddPadX(builder, padX): builder.PrependInt32Slot(0, padX, 0) 143def Convolution2DCommonAddPadY(builder, padY): builder.PrependInt32Slot(1, padY, 0) 144def Convolution2DCommonAddKernelX(builder, kernelX): builder.PrependInt32Slot(2, kernelX, 1) 145def Convolution2DCommonAddKernelY(builder, kernelY): builder.PrependInt32Slot(3, kernelY, 1) 146def Convolution2DCommonAddStrideX(builder, strideX): builder.PrependInt32Slot(4, strideX, 1) 147def Convolution2DCommonAddStrideY(builder, strideY): builder.PrependInt32Slot(5, strideY, 1) 148def Convolution2DCommonAddDilateX(builder, dilateX): builder.PrependInt32Slot(6, dilateX, 1) 149def Convolution2DCommonAddDilateY(builder, dilateY): builder.PrependInt32Slot(7, dilateY, 1) 150def Convolution2DCommonAddPadMode(builder, padMode): builder.PrependInt8Slot(8, padMode, 0) 151def Convolution2DCommonAddGroup(builder, group): builder.PrependInt32Slot(9, group, 1) 152def Convolution2DCommonAddOutputCount(builder, outputCount): builder.PrependInt32Slot(10, outputCount, 0) 153def Convolution2DCommonAddInputCount(builder, inputCount): builder.PrependInt32Slot(11, inputCount, 0) 154def Convolution2DCommonAddRelu(builder, relu): builder.PrependBoolSlot(12, relu, 0) 155def Convolution2DCommonAddRelu6(builder, relu6): builder.PrependBoolSlot(13, relu6, 0) 156def Convolution2DCommonAddPads(builder, pads): builder.PrependUOffsetTRelativeSlot(14, flatbuffers.number_types.UOffsetTFlags.py_type(pads), 0) 157def Convolution2DCommonStartPadsVector(builder, numElems): return builder.StartVector(4, numElems, 4) 158def Convolution2DCommonEnd(builder): return builder.EndObject() 159