| # automatically generated by the FlatBuffers compiler, do not modify |
| |
| # namespace: tflite |
| |
| import flatbuffers |
| from flatbuffers.compat import import_numpy |
| np = import_numpy() |
| |
| class TensorMap(object): |
| __slots__ = ['_tab'] |
| |
| @classmethod |
| def GetRootAs(cls, buf, offset=0): |
| n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset) |
| x = TensorMap() |
| x.Init(buf, n + offset) |
| return x |
| |
| @classmethod |
| def GetRootAsTensorMap(cls, buf, offset=0): |
| """This method is deprecated. Please switch to GetRootAs.""" |
| return cls.GetRootAs(buf, offset) |
| @classmethod |
| def TensorMapBufferHasIdentifier(cls, buf, offset, size_prefixed=False): |
| return flatbuffers.util.BufferHasIdentifier(buf, offset, b"\x54\x46\x4C\x33", size_prefixed=size_prefixed) |
| |
| # TensorMap |
| def Init(self, buf, pos): |
| self._tab = flatbuffers.table.Table(buf, pos) |
| |
| # TensorMap |
| def Name(self): |
| o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4)) |
| if o != 0: |
| return self._tab.String(o + self._tab.Pos) |
| return None |
| |
| # TensorMap |
| def TensorIndex(self): |
| o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6)) |
| if o != 0: |
| return self._tab.Get(flatbuffers.number_types.Uint32Flags, o + self._tab.Pos) |
| return 0 |
| |
| def TensorMapStart(builder): builder.StartObject(2) |
| def Start(builder): |
| return TensorMapStart(builder) |
| def TensorMapAddName(builder, name): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(name), 0) |
| def AddName(builder, name): |
| return TensorMapAddName(builder, name) |
| def TensorMapAddTensorIndex(builder, tensorIndex): builder.PrependUint32Slot(1, tensorIndex, 0) |
| def AddTensorIndex(builder, tensorIndex): |
| return TensorMapAddTensorIndex(builder, tensorIndex) |
| def TensorMapEnd(builder): return builder.EndObject() |
| def End(builder): |
| return TensorMapEnd(builder) |