# automatically generated by the FlatBuffers compiler, do not modify # namespace: tflite import flatbuffers from flatbuffers.compat import import_numpy np = import_numpy() class CustomQuantization(object): __slots__ = ['_tab'] @classmethod def GetRootAs(cls, buf, offset=0): n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset) x = CustomQuantization() x.Init(buf, n + offset) return x @classmethod def GetRootAsCustomQuantization(cls, buf, offset=0): """This method is deprecated. Please switch to GetRootAs.""" return cls.GetRootAs(buf, offset) @classmethod def CustomQuantizationBufferHasIdentifier(cls, buf, offset, size_prefixed=False): return flatbuffers.util.BufferHasIdentifier(buf, offset, b"\x54\x46\x4C\x33", size_prefixed=size_prefixed) # CustomQuantization def Init(self, buf, pos): self._tab = flatbuffers.table.Table(buf, pos) # CustomQuantization def Custom(self, j): o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4)) if o != 0: a = self._tab.Vector(o) return self._tab.Get(flatbuffers.number_types.Uint8Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 1)) return 0 # CustomQuantization def CustomAsNumpy(self): o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4)) if o != 0: return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Uint8Flags, o) return 0 # CustomQuantization def CustomLength(self): o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4)) if o != 0: return self._tab.VectorLen(o) return 0 # CustomQuantization def CustomIsNone(self): o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4)) return o == 0 def CustomQuantizationStart(builder): builder.StartObject(1) def Start(builder): return CustomQuantizationStart(builder) def CustomQuantizationAddCustom(builder, custom): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(custom), 0) def AddCustom(builder, custom): return CustomQuantizationAddCustom(builder, custom) def CustomQuantizationStartCustomVector(builder, numElems): return builder.StartVector(1, numElems, 1) def StartCustomVector(builder, numElems): return CustomQuantizationStartCustomVector(builder, numElems) def CustomQuantizationEnd(builder): return builder.EndObject() def End(builder): return CustomQuantizationEnd(builder)