mirror of
https://github.com/mit-han-lab/tinyengine.git
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58 lines
2.0 KiB
Python
58 lines
2.0 KiB
Python
# automatically generated by the FlatBuffers compiler, do not modify
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# namespace: tflite
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import flatbuffers
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from flatbuffers.compat import import_numpy
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np = import_numpy()
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class Uint16Vector(object):
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__slots__ = ['_tab']
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@classmethod
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def GetRootAsUint16Vector(cls, buf, offset):
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n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
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x = Uint16Vector()
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x.Init(buf, n + offset)
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return x
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@classmethod
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def Uint16VectorBufferHasIdentifier(cls, buf, offset, size_prefixed=False):
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return flatbuffers.util.BufferHasIdentifier(buf, offset, b"\x54\x46\x4C\x33", size_prefixed=size_prefixed)
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# Uint16Vector
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def Init(self, buf, pos):
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self._tab = flatbuffers.table.Table(buf, pos)
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# Uint16Vector
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def Values(self, j):
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o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
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if o != 0:
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a = self._tab.Vector(o)
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return self._tab.Get(flatbuffers.number_types.Uint16Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 2))
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return 0
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# Uint16Vector
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def ValuesAsNumpy(self):
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o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
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if o != 0:
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return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Uint16Flags, o)
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return 0
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# Uint16Vector
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def ValuesLength(self):
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o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
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if o != 0:
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return self._tab.VectorLen(o)
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return 0
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# Uint16Vector
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def ValuesIsNone(self):
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o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
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return o == 0
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def Uint16VectorStart(builder): builder.StartObject(1)
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def Uint16VectorAddValues(builder, values): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(values), 0)
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def Uint16VectorStartValuesVector(builder, numElems): return builder.StartVector(2, numElems, 2)
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def Uint16VectorEnd(builder): return builder.EndObject()
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