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# 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 GetRootAsTensorMap(cls, buf, offset):
n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
x = TensorMap()
x.Init(buf, n + offset)
return x
@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 TensorMapAddName(builder, name): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(name), 0)
def TensorMapAddTensorIndex(builder, tensorIndex): builder.PrependUint32Slot(1, tensorIndex, 0)
def TensorMapEnd(builder): return builder.EndObject()
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