blob: 5faecbde7f962f3fa1c69f2c319036c9e8b3a8c2 [file] [log] [blame]
# automatically generated by the FlatBuffers compiler, do not modify
# namespace: tosa
import flatbuffers
class Conv2dAttribute(object):
__slots__ = ['_tab']
@classmethod
def GetRootAsConv2dAttribute(cls, buf, offset):
n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
x = Conv2dAttribute()
x.Init(buf, n + offset)
return x
# Conv2dAttribute
def Init(self, buf, pos):
self._tab = flatbuffers.table.Table(buf, pos)
# Conv2dAttribute
def Padding(self, j):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
if o != 0:
a = self._tab.Vector(o)
return self._tab.Get(flatbuffers.number_types.Int32Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 4))
return 0
# Conv2dAttribute
def PaddingAsNumpy(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
if o != 0:
return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int32Flags, o)
return 0
# Conv2dAttribute
def PaddingLength(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
if o != 0:
return self._tab.VectorLen(o)
return 0
# Conv2dAttribute
def Stride(self, j):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
if o != 0:
a = self._tab.Vector(o)
return self._tab.Get(flatbuffers.number_types.Int32Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 4))
return 0
# Conv2dAttribute
def StrideAsNumpy(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
if o != 0:
return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int32Flags, o)
return 0
# Conv2dAttribute
def StrideLength(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
if o != 0:
return self._tab.VectorLen(o)
return 0
# Conv2dAttribute
def Dilation(self, j):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
if o != 0:
a = self._tab.Vector(o)
return self._tab.Get(flatbuffers.number_types.Int32Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 4))
return 0
# Conv2dAttribute
def DilationAsNumpy(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
if o != 0:
return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int32Flags, o)
return 0
# Conv2dAttribute
def DilationLength(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
if o != 0:
return self._tab.VectorLen(o)
return 0
def Conv2dAttributeStart(builder): builder.StartObject(3)
def Conv2dAttributeAddPadding(builder, padding): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(padding), 0)
def Conv2dAttributeStartPaddingVector(builder, numElems): return builder.StartVector(4, numElems, 4)
def Conv2dAttributeAddStride(builder, stride): builder.PrependUOffsetTRelativeSlot(1, flatbuffers.number_types.UOffsetTFlags.py_type(stride), 0)
def Conv2dAttributeStartStrideVector(builder, numElems): return builder.StartVector(4, numElems, 4)
def Conv2dAttributeAddDilation(builder, dilation): builder.PrependUOffsetTRelativeSlot(2, flatbuffers.number_types.UOffsetTFlags.py_type(dilation), 0)
def Conv2dAttributeStartDilationVector(builder, numElems): return builder.StartVector(4, numElems, 4)
def Conv2dAttributeEnd(builder): return builder.EndObject()