# automatically generated by the FlatBuffers compiler, do not modify

# namespace: MNN

import flatbuffers
from flatbuffers.compat import import_numpy
np = import_numpy()

class QuantizedMatMul(object):
    __slots__ = ['_tab']

    @classmethod
    def GetRootAs(cls, buf, offset=0):
        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
        x = QuantizedMatMul()
        x.Init(buf, n + offset)
        return x

    @classmethod
    def GetRootAsQuantizedMatMul(cls, buf, offset=0):
        """This method is deprecated. Please switch to GetRootAs."""
        return cls.GetRootAs(buf, offset)
    # QuantizedMatMul
    def Init(self, buf, pos):
        self._tab = flatbuffers.table.Table(buf, pos)

    # QuantizedMatMul
    def TransposeA(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
        if o != 0:
            return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos))
        return False

    # QuantizedMatMul
    def TransposeB(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
        if o != 0:
            return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos))
        return False

def QuantizedMatMulStart(builder): builder.StartObject(2)
def Start(builder):
    return QuantizedMatMulStart(builder)
def QuantizedMatMulAddTransposeA(builder, transposeA): builder.PrependBoolSlot(0, transposeA, 0)
def AddTransposeA(builder, transposeA):
    return QuantizedMatMulAddTransposeA(builder, transposeA)
def QuantizedMatMulAddTransposeB(builder, transposeB): builder.PrependBoolSlot(1, transposeB, 0)
def AddTransposeB(builder, transposeB):
    return QuantizedMatMulAddTransposeB(builder, transposeB)
def QuantizedMatMulEnd(builder): return builder.EndObject()
def End(builder):
    return QuantizedMatMulEnd(builder)