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# automatically generated by the FlatBuffers compiler, do not modify
# namespace: tflite
import flatbuffers
class SequenceRNNOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAsSequenceRNNOptions(cls, buf, offset):
n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
x = SequenceRNNOptions()
x.Init(buf, n + offset)
return x
# SequenceRNNOptions
def Init(self, buf, pos):
self._tab = flatbuffers.table.Table(buf, pos)
# SequenceRNNOptions
def TimeMajor(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
# SequenceRNNOptions
def FusedActivationFunction(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
if o != 0:
return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
return 0
# SequenceRNNOptions
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 SequenceRNNOptionsStart(builder): builder.StartObject(3)
def SequenceRNNOptionsAddTimeMajor(builder, timeMajor): builder.PrependBoolSlot(0, timeMajor, 0)
def SequenceRNNOptionsAddFusedActivationFunction(builder, fusedActivationFunction): builder.PrependInt8Slot(1, fusedActivationFunction, 0)
def SequenceRNNOptionsAddAsymmetricQuantizeInputs(builder, asymmetricQuantizeInputs): builder.PrependBoolSlot(2, asymmetricQuantizeInputs, 0)
def SequenceRNNOptionsEnd(builder): return builder.EndObject()
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