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# automatically generated by the FlatBuffers compiler, do not modify
# namespace: tflite
import flatbuffers
class CustomQuantization(object):
__slots__ = ['_tab']
@classmethod
def GetRootAsCustomQuantization(cls, buf, offset):
n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
x = CustomQuantization()
x.Init(buf, n + offset)
return x
# 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
def CustomQuantizationStart(builder):
builder.StartObject(1)
def CustomQuantizationAddCustom(builder, custom):
builder.PrependUOffsetTRelativeSlot(
0, flatbuffers.number_types.UOffsetTFlags.py_type(custom), 0)
def CustomQuantizationStartCustomVector(builder, numElems):
return builder.StartVector(1, numElems, 1)
def CustomQuantizationEnd(builder):
return builder.EndObject()
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