# 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):
    Conv2DOptionsStart(builder)


def Conv2DOptionsAddPadding(builder, padding):
    builder.PrependInt8Slot(0, padding, 0)


def AddPadding(builder, padding):
    Conv2DOptionsAddPadding(builder, padding)


def Conv2DOptionsAddStrideW(builder, strideW):
    builder.PrependInt32Slot(1, strideW, 0)


def AddStrideW(builder, strideW):
    Conv2DOptionsAddStrideW(builder, strideW)


def Conv2DOptionsAddStrideH(builder, strideH):
    builder.PrependInt32Slot(2, strideH, 0)


def AddStrideH(builder, strideH):
    Conv2DOptionsAddStrideH(builder, strideH)


def Conv2DOptionsAddFusedActivationFunction(builder, fusedActivationFunction):
    builder.PrependInt8Slot(3, fusedActivationFunction, 0)


def AddFusedActivationFunction(builder, fusedActivationFunction):
    Conv2DOptionsAddFusedActivationFunction(builder, fusedActivationFunction)


def Conv2DOptionsAddDilationWFactor(builder, dilationWFactor):
    builder.PrependInt32Slot(4, dilationWFactor, 1)


def AddDilationWFactor(builder, dilationWFactor):
    Conv2DOptionsAddDilationWFactor(builder, dilationWFactor)


def Conv2DOptionsAddDilationHFactor(builder, dilationHFactor):
    builder.PrependInt32Slot(5, dilationHFactor, 1)


def AddDilationHFactor(builder, dilationHFactor):
    Conv2DOptionsAddDilationHFactor(builder, dilationHFactor)


def Conv2DOptionsAddQuantizedBiasType(builder, quantizedBiasType):
    builder.PrependInt8Slot(6, quantizedBiasType, 0)


def AddQuantizedBiasType(builder, quantizedBiasType):
    Conv2DOptionsAddQuantizedBiasType(builder, quantizedBiasType)


def Conv2DOptionsEnd(builder):
    return builder.EndObject()


def End(builder):
    return Conv2DOptionsEnd(builder)