blob: 16641a74f051e0795db20e4c405dc67a36d41841 [file] [log] [blame]
# automatically generated by the FlatBuffers compiler, do not modify
# namespace: tflite
import flatbuffers
from flatbuffers.compat import import_numpy
np = import_numpy()
class UnidirectionalSequenceLSTMOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=0):
n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
x = UnidirectionalSequenceLSTMOptions()
x.Init(buf, n + offset)
return x
@classmethod
def GetRootAsUnidirectionalSequenceLSTMOptions(cls, buf, offset=0):
"""This method is deprecated. Please switch to GetRootAs."""
return cls.GetRootAs(buf, offset)
@classmethod
def UnidirectionalSequenceLSTMOptionsBufferHasIdentifier(cls, buf, offset, size_prefixed=False):
return flatbuffers.util.BufferHasIdentifier(buf, offset, b"\x54\x46\x4C\x33", size_prefixed=size_prefixed)
# UnidirectionalSequenceLSTMOptions
def Init(self, buf, pos):
self._tab = flatbuffers.table.Table(buf, pos)
# UnidirectionalSequenceLSTMOptions
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
# UnidirectionalSequenceLSTMOptions
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
# UnidirectionalSequenceLSTMOptions
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
# UnidirectionalSequenceLSTMOptions
def TimeMajor(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
# UnidirectionalSequenceLSTMOptions
def AsymmetricQuantizeInputs(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 False
def UnidirectionalSequenceLSTMOptionsStart(builder): builder.StartObject(5)
def Start(builder):
return UnidirectionalSequenceLSTMOptionsStart(builder)
def UnidirectionalSequenceLSTMOptionsAddFusedActivationFunction(builder, fusedActivationFunction): builder.PrependInt8Slot(0, fusedActivationFunction, 0)
def AddFusedActivationFunction(builder, fusedActivationFunction):
return UnidirectionalSequenceLSTMOptionsAddFusedActivationFunction(builder, fusedActivationFunction)
def UnidirectionalSequenceLSTMOptionsAddCellClip(builder, cellClip): builder.PrependFloat32Slot(1, cellClip, 0.0)
def AddCellClip(builder, cellClip):
return UnidirectionalSequenceLSTMOptionsAddCellClip(builder, cellClip)
def UnidirectionalSequenceLSTMOptionsAddProjClip(builder, projClip): builder.PrependFloat32Slot(2, projClip, 0.0)
def AddProjClip(builder, projClip):
return UnidirectionalSequenceLSTMOptionsAddProjClip(builder, projClip)
def UnidirectionalSequenceLSTMOptionsAddTimeMajor(builder, timeMajor): builder.PrependBoolSlot(3, timeMajor, 0)
def AddTimeMajor(builder, timeMajor):
return UnidirectionalSequenceLSTMOptionsAddTimeMajor(builder, timeMajor)
def UnidirectionalSequenceLSTMOptionsAddAsymmetricQuantizeInputs(builder, asymmetricQuantizeInputs): builder.PrependBoolSlot(4, asymmetricQuantizeInputs, 0)
def AddAsymmetricQuantizeInputs(builder, asymmetricQuantizeInputs):
return UnidirectionalSequenceLSTMOptionsAddAsymmetricQuantizeInputs(builder, asymmetricQuantizeInputs)
def UnidirectionalSequenceLSTMOptionsEnd(builder): return builder.EndObject()
def End(builder):
return UnidirectionalSequenceLSTMOptionsEnd(builder)