# automatically generated by the FlatBuffers compiler, do not modify # namespace: tflite import flatbuffers from flatbuffers.compat import import_numpy np = import_numpy() 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 @classmethod def SequenceRNNOptionsBufferHasIdentifier(cls, buf, offset, size_prefixed=False): return flatbuffers.util.BufferHasIdentifier(buf, offset, b"\x54\x46\x4C\x33", size_prefixed=size_prefixed) # 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()