blob: 35f0aeafad2ed4153d76bd9ab246c7a7144994f3 [file] [log] [blame]
# 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)