1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
|
# automatically generated by the FlatBuffers compiler, do not modify
# namespace: tflite
import flatbuffers
from flatbuffers.compat import import_numpy
np = import_numpy()
class FullyConnectedOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=0):
n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
x = FullyConnectedOptions()
x.Init(buf, n + offset)
return x
@classmethod
def GetRootAsFullyConnectedOptions(cls, buf, offset=0):
"""This method is deprecated. Please switch to GetRootAs."""
return cls.GetRootAs(buf, offset)
@classmethod
def FullyConnectedOptionsBufferHasIdentifier(cls, buf, offset, size_prefixed=False):
return flatbuffers.util.BufferHasIdentifier(buf, offset, b"\x54\x46\x4C\x33", size_prefixed=size_prefixed)
# FullyConnectedOptions
def Init(self, buf, pos):
self._tab = flatbuffers.table.Table(buf, pos)
# FullyConnectedOptions
def FusedActivationFunction(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
if o != 0:
return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
return 0
# FullyConnectedOptions
def WeightsFormat(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
if o != 0:
return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
return 0
# FullyConnectedOptions
def KeepNumDims(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
if o != 0:
return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos))
return False
# FullyConnectedOptions
def AsymmetricQuantizeInputs(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
if o != 0:
return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos))
return False
# FullyConnectedOptions
def QuantizedBiasType(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
if o != 0:
return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
return 0
def FullyConnectedOptionsStart(builder): builder.StartObject(5)
def Start(builder):
return FullyConnectedOptionsStart(builder)
def FullyConnectedOptionsAddFusedActivationFunction(builder, fusedActivationFunction): builder.PrependInt8Slot(0, fusedActivationFunction, 0)
def AddFusedActivationFunction(builder, fusedActivationFunction):
return FullyConnectedOptionsAddFusedActivationFunction(builder, fusedActivationFunction)
def FullyConnectedOptionsAddWeightsFormat(builder, weightsFormat): builder.PrependInt8Slot(1, weightsFormat, 0)
def AddWeightsFormat(builder, weightsFormat):
return FullyConnectedOptionsAddWeightsFormat(builder, weightsFormat)
def FullyConnectedOptionsAddKeepNumDims(builder, keepNumDims): builder.PrependBoolSlot(2, keepNumDims, 0)
def AddKeepNumDims(builder, keepNumDims):
return FullyConnectedOptionsAddKeepNumDims(builder, keepNumDims)
def FullyConnectedOptionsAddAsymmetricQuantizeInputs(builder, asymmetricQuantizeInputs): builder.PrependBoolSlot(3, asymmetricQuantizeInputs, 0)
def AddAsymmetricQuantizeInputs(builder, asymmetricQuantizeInputs):
return FullyConnectedOptionsAddAsymmetricQuantizeInputs(builder, asymmetricQuantizeInputs)
def FullyConnectedOptionsAddQuantizedBiasType(builder, quantizedBiasType): builder.PrependInt8Slot(4, quantizedBiasType, 0)
def AddQuantizedBiasType(builder, quantizedBiasType):
return FullyConnectedOptionsAddQuantizedBiasType(builder, quantizedBiasType)
def FullyConnectedOptionsEnd(builder): return builder.EndObject()
def End(builder):
return FullyConnectedOptionsEnd(builder)
|
