| # 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() |