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# automatically generated by the FlatBuffers compiler, do not modify
# namespace: tflite
import flatbuffers
from flatbuffers.compat import import_numpy
np = import_numpy()
class Conv2DOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=0):
n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
x = Conv2DOptions()
x.Init(buf, n + offset)
return x
@classmethod
def GetRootAsConv2DOptions(cls, buf, offset=0):
"""This method is deprecated. Please switch to GetRootAs."""
return cls.GetRootAs(buf, offset)
@classmethod
def Conv2DOptionsBufferHasIdentifier(cls, buf, offset, size_prefixed=False):
return flatbuffers.util.BufferHasIdentifier(buf, offset, b"\x54\x46\x4C\x33", size_prefixed=size_prefixed)
# Conv2DOptions
def Init(self, buf, pos):
self._tab = flatbuffers.table.Table(buf, pos)
# Conv2DOptions
def Padding(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
if o != 0:
return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
return 0
# Conv2DOptions
def StrideW(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
if o != 0:
return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
return 0
# Conv2DOptions
def StrideH(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
if o != 0:
return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
return 0
# Conv2DOptions
def FusedActivationFunction(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
if o != 0:
return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
return 0
# Conv2DOptions
def DilationWFactor(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
if o != 0:
return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
return 1
# Conv2DOptions
def DilationHFactor(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(14))
if o != 0:
return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
return 1
# Conv2DOptions
def QuantizedBiasType(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(16))
if o != 0:
return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
return 0
def Conv2DOptionsStart(builder): builder.StartObject(7)
def Start(builder):
return Conv2DOptionsStart(builder)
def Conv2DOptionsAddPadding(builder, padding): builder.PrependInt8Slot(0, padding, 0)
def AddPadding(builder, padding):
return Conv2DOptionsAddPadding(builder, padding)
def Conv2DOptionsAddStrideW(builder, strideW): builder.PrependInt32Slot(1, strideW, 0)
def AddStrideW(builder, strideW):
return Conv2DOptionsAddStrideW(builder, strideW)
def Conv2DOptionsAddStrideH(builder, strideH): builder.PrependInt32Slot(2, strideH, 0)
def AddStrideH(builder, strideH):
return Conv2DOptionsAddStrideH(builder, strideH)
def Conv2DOptionsAddFusedActivationFunction(builder, fusedActivationFunction): builder.PrependInt8Slot(3, fusedActivationFunction, 0)
def AddFusedActivationFunction(builder, fusedActivationFunction):
return Conv2DOptionsAddFusedActivationFunction(builder, fusedActivationFunction)
def Conv2DOptionsAddDilationWFactor(builder, dilationWFactor): builder.PrependInt32Slot(4, dilationWFactor, 1)
def AddDilationWFactor(builder, dilationWFactor):
return Conv2DOptionsAddDilationWFactor(builder, dilationWFactor)
def Conv2DOptionsAddDilationHFactor(builder, dilationHFactor): builder.PrependInt32Slot(5, dilationHFactor, 1)
def AddDilationHFactor(builder, dilationHFactor):
return Conv2DOptionsAddDilationHFactor(builder, dilationHFactor)
def Conv2DOptionsAddQuantizedBiasType(builder, quantizedBiasType): builder.PrependInt8Slot(6, quantizedBiasType, 0)
def AddQuantizedBiasType(builder, quantizedBiasType):
return Conv2DOptionsAddQuantizedBiasType(builder, quantizedBiasType)
def Conv2DOptionsEnd(builder): return builder.EndObject()
def End(builder):
return Conv2DOptionsEnd(builder)
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