Module tflite.BatchMatMulOptions

Expand source code
# automatically generated by the FlatBuffers compiler, do not modify

# namespace: tflite

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

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

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

    @classmethod
    def GetRootAsBatchMatMulOptions(cls, buf, offset=0):
        """This method is deprecated. Please switch to GetRootAs."""
        return cls.GetRootAs(buf, offset)
    @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 Start(builder):
    return BatchMatMulOptionsStart(builder)
def BatchMatMulOptionsAddAdjX(builder, adjX): builder.PrependBoolSlot(0, adjX, 0)
def AddAdjX(builder, adjX):
    return BatchMatMulOptionsAddAdjX(builder, adjX)
def BatchMatMulOptionsAddAdjY(builder, adjY): builder.PrependBoolSlot(1, adjY, 0)
def AddAdjY(builder, adjY):
    return BatchMatMulOptionsAddAdjY(builder, adjY)
def BatchMatMulOptionsAddAsymmetricQuantizeInputs(builder, asymmetricQuantizeInputs): builder.PrependBoolSlot(2, asymmetricQuantizeInputs, 0)
def AddAsymmetricQuantizeInputs(builder, asymmetricQuantizeInputs):
    return BatchMatMulOptionsAddAsymmetricQuantizeInputs(builder, asymmetricQuantizeInputs)
def BatchMatMulOptionsEnd(builder): return builder.EndObject()
def End(builder):
    return BatchMatMulOptionsEnd(builder)

Functions

def AddAdjX(builder, adjX)
Expand source code
def AddAdjX(builder, adjX):
    return BatchMatMulOptionsAddAdjX(builder, adjX)
def AddAdjY(builder, adjY)
Expand source code
def AddAdjY(builder, adjY):
    return BatchMatMulOptionsAddAdjY(builder, adjY)
def AddAsymmetricQuantizeInputs(builder, asymmetricQuantizeInputs)
Expand source code
def AddAsymmetricQuantizeInputs(builder, asymmetricQuantizeInputs):
    return BatchMatMulOptionsAddAsymmetricQuantizeInputs(builder, asymmetricQuantizeInputs)
def BatchMatMulOptionsAddAdjX(builder, adjX)
Expand source code
def BatchMatMulOptionsAddAdjX(builder, adjX): builder.PrependBoolSlot(0, adjX, 0)
def BatchMatMulOptionsAddAdjY(builder, adjY)
Expand source code
def BatchMatMulOptionsAddAdjY(builder, adjY): builder.PrependBoolSlot(1, adjY, 0)
def BatchMatMulOptionsAddAsymmetricQuantizeInputs(builder, asymmetricQuantizeInputs)
Expand source code
def BatchMatMulOptionsAddAsymmetricQuantizeInputs(builder, asymmetricQuantizeInputs): builder.PrependBoolSlot(2, asymmetricQuantizeInputs, 0)
def BatchMatMulOptionsEnd(builder)
Expand source code
def BatchMatMulOptionsEnd(builder): return builder.EndObject()
def BatchMatMulOptionsStart(builder)
Expand source code
def BatchMatMulOptionsStart(builder): builder.StartObject(3)
def End(builder)
Expand source code
def End(builder):
    return BatchMatMulOptionsEnd(builder)
def Start(builder)
Expand source code
def Start(builder):
    return BatchMatMulOptionsStart(builder)

Classes

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

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

    @classmethod
    def GetRootAsBatchMatMulOptions(cls, buf, offset=0):
        """This method is deprecated. Please switch to GetRootAs."""
        return cls.GetRootAs(buf, offset)
    @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

Static methods

def BatchMatMulOptionsBufferHasIdentifier(buf, offset, size_prefixed=False)
Expand source code
@classmethod
def BatchMatMulOptionsBufferHasIdentifier(cls, buf, offset, size_prefixed=False):
    return flatbuffers.util.BufferHasIdentifier(buf, offset, b"\x54\x46\x4C\x33", size_prefixed=size_prefixed)
def GetRootAs(buf, offset=0)
Expand source code
@classmethod
def GetRootAs(cls, buf, offset=0):
    n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
    x = BatchMatMulOptions()
    x.Init(buf, n + offset)
    return x
def GetRootAsBatchMatMulOptions(buf, offset=0)

This method is deprecated. Please switch to GetRootAs.

Expand source code
@classmethod
def GetRootAsBatchMatMulOptions(cls, buf, offset=0):
    """This method is deprecated. Please switch to GetRootAs."""
    return cls.GetRootAs(buf, offset)

Methods

def AdjX(self)
Expand source code
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
def AdjY(self)
Expand source code
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
def AsymmetricQuantizeInputs(self)
Expand source code
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 Init(self, buf, pos)
Expand source code
def Init(self, buf, pos):
    self._tab = flatbuffers.table.Table(buf, pos)