ethosu/vela/tflite/BatchMatMulOptions.py

# automatically generated by the FlatBuffers compiler, do not modify

# namespace: tflite

import flatbuffers

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

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

    @classmethod
    def BatchMatMulOptionsBufferHasIdentifier(cls, buf, offset, size_prefixed=False):
        return flatbuffers.util.BufferHasIdentifier(buf, offset, b"\x54\x46\x4C\x33", size_prefixed=size_prefixed)

    # BatchMatMulOptions
    def Init(self, buf, pos):
        self._tab = flatbuffers.table.Table(buf, pos)

    # BatchMatMulOptions
    def AdjX(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

    # BatchMatMulOptions
    def AdjY(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

    # BatchMatMulOptions
    def AsymmetricQuantizeInputs(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
        if o != 0:
            return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos))
        return False

def BatchMatMulOptionsStart(builder): builder.StartObject(3)
def BatchMatMulOptionsAddAdjX(builder, adjX): builder.PrependBoolSlot(0, adjX, 0)
def BatchMatMulOptionsAddAdjY(builder, adjY): builder.PrependBoolSlot(1, adjY, 0)
def BatchMatMulOptionsAddAsymmetricQuantizeInputs(builder, asymmetricQuantizeInputs): builder.PrependBoolSlot(2, asymmetricQuantizeInputs, 0)
def BatchMatMulOptionsEnd(builder): return builder.EndObject()