| # automatically generated by the FlatBuffers compiler, do not modify |
| |
| # namespace: tflite |
| |
| import flatbuffers |
| |
| class BatchMatMulOptions(object): |
| __slots__ = ['_tab'] |
| |
| @classmethod |
| def GetRootAsBatchMatMulOptions(cls, buf, offset): |
| n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset) |
| x = BatchMatMulOptions() |
| x.Init(buf, n + offset) |
| return x |
| |
| # BatchMatMulOptions |
| def Init(self, buf, pos): |
| self._tab = flatbuffers.table.Table(buf, pos) |
| |
| # BatchMatMulOptions |
| def AdjX(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 |
| |
| # BatchMatMulOptions |
| def AdjY(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 |
| |
| # BatchMatMulOptions |
| 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 BatchMatMulOptionsStart(builder): builder.StartObject(3) |
| def BatchMatMulOptionsAddAdjX(builder, adjX): builder.PrependBoolSlot(0, adjX, 0) |
| def BatchMatMulOptionsAddAdjY(builder, adjY): builder.PrependBoolSlot(1, adjY, 0) |
| def BatchMatMulOptionsAddAsymmetricQuantizeInputs(builder, asymmetricQuantizeInputs): builder.PrependBoolSlot(2, asymmetricQuantizeInputs, 0) |
| def BatchMatMulOptionsEnd(builder): return builder.EndObject() |