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# automatically generated by the FlatBuffers compiler, do not modify
# namespace: tflite
import flatbuffers
from flatbuffers.compat import import_numpy
np = import_numpy()
class RNNOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=0):
n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
x = RNNOptions()
x.Init(buf, n + offset)
return x
@classmethod
def GetRootAsRNNOptions(cls, buf, offset=0):
"""This method is deprecated. Please switch to GetRootAs."""
return cls.GetRootAs(buf, offset)
@classmethod
def RNNOptionsBufferHasIdentifier(cls, buf, offset, size_prefixed=False):
return flatbuffers.util.BufferHasIdentifier(buf, offset, b"\x54\x46\x4C\x33", size_prefixed=size_prefixed)
# RNNOptions
def Init(self, buf, pos):
self._tab = flatbuffers.table.Table(buf, pos)
# RNNOptions
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
# RNNOptions
def AsymmetricQuantizeInputs(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 RNNOptionsStart(builder): builder.StartObject(2)
def Start(builder):
return RNNOptionsStart(builder)
def RNNOptionsAddFusedActivationFunction(builder, fusedActivationFunction): builder.PrependInt8Slot(0, fusedActivationFunction, 0)
def AddFusedActivationFunction(builder, fusedActivationFunction):
return RNNOptionsAddFusedActivationFunction(builder, fusedActivationFunction)
def RNNOptionsAddAsymmetricQuantizeInputs(builder, asymmetricQuantizeInputs): builder.PrependBoolSlot(1, asymmetricQuantizeInputs, 0)
def AddAsymmetricQuantizeInputs(builder, asymmetricQuantizeInputs):
return RNNOptionsAddAsymmetricQuantizeInputs(builder, asymmetricQuantizeInputs)
def RNNOptionsEnd(builder): return builder.EndObject()
def End(builder):
return RNNOptionsEnd(builder)
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