# automatically generated by the FlatBuffers compiler, do not modify # namespace: structure import flatbuffers class TensorMap(object): __slots__ = ['_tab'] @classmethod def GetRootAsTensorMap(cls, buf, offset): n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset) x = TensorMap() x.Init(buf, n + offset) return x # 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 Info(self): o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6)) if o != 0: return self._tab.String(o + self._tab.Pos) return None # TensorMap def Tensors(self, j): o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8)) if o != 0: x = self._tab.Vector(o) x += flatbuffers.number_types.UOffsetTFlags.py_type(j) * 4 x = self._tab.Indirect(x) from .Tensor import Tensor obj = Tensor() obj.Init(self._tab.Bytes, x) return obj return None # TensorMap def TensorsLength(self): o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8)) if o != 0: return self._tab.VectorLen(o) return 0 def TensorMapStart(builder): builder.StartObject(3) def TensorMapAddName(builder, name): builder.PrependUOffsetTRelativeSlot( 0, flatbuffers.number_types.UOffsetTFlags.py_type(name), 0) def TensorMapAddInfo(builder, info): builder.PrependUOffsetTRelativeSlot( 1, flatbuffers.number_types.UOffsetTFlags.py_type(info), 0) def TensorMapAddTensors(builder, tensors): builder.PrependUOffsetTRelativeSlot( 2, flatbuffers.number_types.UOffsetTFlags.py_type(tensors), 0) def TensorMapStartTensorsVector( builder, numElems): return builder.StartVector(4, numElems, 4) def TensorMapEnd(builder): return builder.EndObject()