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tflite.BidirectionalSequenceLSTMOptions module

# automatically generated by the FlatBuffers compiler, do not modify

# namespace: tflite

import flatbuffers

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

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

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

    # BidirectionalSequenceLSTMOptions
    def FusedActivationFunction(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

    # BidirectionalSequenceLSTMOptions
    def CellClip(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
        if o != 0:
            return self._tab.Get(flatbuffers.number_types.Float32Flags, o + self._tab.Pos)
        return 0.0

    # BidirectionalSequenceLSTMOptions
    def ProjClip(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
        if o != 0:
            return self._tab.Get(flatbuffers.number_types.Float32Flags, o + self._tab.Pos)
        return 0.0

    # BidirectionalSequenceLSTMOptions
    def MergeOutputs(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
        if o != 0:
            return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos))
        return False

    # BidirectionalSequenceLSTMOptions
    def TimeMajor(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
        if o != 0:
            return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos))
        return True

    # BidirectionalSequenceLSTMOptions
    def AsymmetricQuantizeInputs(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(14))
        if o != 0:
            return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos))
        return False

def BidirectionalSequenceLSTMOptionsStart(builder): builder.StartObject(6)
def BidirectionalSequenceLSTMOptionsAddFusedActivationFunction(builder, fusedActivationFunction): builder.PrependInt8Slot(0, fusedActivationFunction, 0)
def BidirectionalSequenceLSTMOptionsAddCellClip(builder, cellClip): builder.PrependFloat32Slot(1, cellClip, 0.0)
def BidirectionalSequenceLSTMOptionsAddProjClip(builder, projClip): builder.PrependFloat32Slot(2, projClip, 0.0)
def BidirectionalSequenceLSTMOptionsAddMergeOutputs(builder, mergeOutputs): builder.PrependBoolSlot(3, mergeOutputs, 0)
def BidirectionalSequenceLSTMOptionsAddTimeMajor(builder, timeMajor): builder.PrependBoolSlot(4, timeMajor, 1)
def BidirectionalSequenceLSTMOptionsAddAsymmetricQuantizeInputs(builder, asymmetricQuantizeInputs): builder.PrependBoolSlot(5, asymmetricQuantizeInputs, 0)
def BidirectionalSequenceLSTMOptionsEnd(builder): return builder.EndObject()

Functions

def BidirectionalSequenceLSTMOptionsAddAsymmetricQuantizeInputs(

builder, asymmetricQuantizeInputs)

def BidirectionalSequenceLSTMOptionsAddAsymmetricQuantizeInputs(builder, asymmetricQuantizeInputs): builder.PrependBoolSlot(5, asymmetricQuantizeInputs, 0)

def BidirectionalSequenceLSTMOptionsAddCellClip(

builder, cellClip)

def BidirectionalSequenceLSTMOptionsAddCellClip(builder, cellClip): builder.PrependFloat32Slot(1, cellClip, 0.0)

def BidirectionalSequenceLSTMOptionsAddFusedActivationFunction(

builder, fusedActivationFunction)

def BidirectionalSequenceLSTMOptionsAddFusedActivationFunction(builder, fusedActivationFunction): builder.PrependInt8Slot(0, fusedActivationFunction, 0)

def BidirectionalSequenceLSTMOptionsAddMergeOutputs(

builder, mergeOutputs)

def BidirectionalSequenceLSTMOptionsAddMergeOutputs(builder, mergeOutputs): builder.PrependBoolSlot(3, mergeOutputs, 0)

def BidirectionalSequenceLSTMOptionsAddProjClip(

builder, projClip)

def BidirectionalSequenceLSTMOptionsAddProjClip(builder, projClip): builder.PrependFloat32Slot(2, projClip, 0.0)

def BidirectionalSequenceLSTMOptionsAddTimeMajor(

builder, timeMajor)

def BidirectionalSequenceLSTMOptionsAddTimeMajor(builder, timeMajor): builder.PrependBoolSlot(4, timeMajor, 1)

def BidirectionalSequenceLSTMOptionsEnd(

builder)

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

def BidirectionalSequenceLSTMOptionsStart(

builder)

def BidirectionalSequenceLSTMOptionsStart(builder): builder.StartObject(6)

Classes

class BidirectionalSequenceLSTMOptions

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

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

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

    # BidirectionalSequenceLSTMOptions
    def FusedActivationFunction(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

    # BidirectionalSequenceLSTMOptions
    def CellClip(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
        if o != 0:
            return self._tab.Get(flatbuffers.number_types.Float32Flags, o + self._tab.Pos)
        return 0.0

    # BidirectionalSequenceLSTMOptions
    def ProjClip(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
        if o != 0:
            return self._tab.Get(flatbuffers.number_types.Float32Flags, o + self._tab.Pos)
        return 0.0

    # BidirectionalSequenceLSTMOptions
    def MergeOutputs(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
        if o != 0:
            return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos))
        return False

    # BidirectionalSequenceLSTMOptions
    def TimeMajor(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
        if o != 0:
            return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos))
        return True

    # BidirectionalSequenceLSTMOptions
    def AsymmetricQuantizeInputs(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(14))
        if o != 0:
            return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos))
        return False

Ancestors (in MRO)

Static methods

def AsymmetricQuantizeInputs(

self)

def AsymmetricQuantizeInputs(self):
    o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(14))
    if o != 0:
        return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos))
    return False

def CellClip(

self)

def CellClip(self):
    o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
    if o != 0:
        return self._tab.Get(flatbuffers.number_types.Float32Flags, o + self._tab.Pos)
    return 0.0

def FusedActivationFunction(

self)

def FusedActivationFunction(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

def Init(

self, buf, pos)

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

def MergeOutputs(

self)

def MergeOutputs(self):
    o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
    if o != 0:
        return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos))
    return False

def ProjClip(

self)

def ProjClip(self):
    o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
    if o != 0:
        return self._tab.Get(flatbuffers.number_types.Float32Flags, o + self._tab.Pos)
    return 0.0

def TimeMajor(

self)

def TimeMajor(self):
    o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
    if o != 0:
        return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos))
    return True

Methods

def GetRootAsBidirectionalSequenceLSTMOptions(

cls, buf, offset)

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