Aluode/PerceptionLabPortable
0
1# This file is autogenerated by the command `make fix-copies`, do not edit.2from ..utils import DummyObject, requires_backends3 4 5class TFForcedBOSTokenLogitsProcessor(metaclass=DummyObject):6 _backends = ["tf"]7 8 def __init__(self, *args, **kwargs):9 requires_backends(self, ["tf"])10 11 12class TFForcedEOSTokenLogitsProcessor(metaclass=DummyObject):13 _backends = ["tf"]14 15 def __init__(self, *args, **kwargs):16 requires_backends(self, ["tf"])17 18 19class TFForceTokensLogitsProcessor(metaclass=DummyObject):20 _backends = ["tf"]21 22 def __init__(self, *args, **kwargs):23 requires_backends(self, ["tf"])24 25 26class TFGenerationMixin(metaclass=DummyObject):27 _backends = ["tf"]28 29 def __init__(self, *args, **kwargs):30 requires_backends(self, ["tf"])31 32 33class TFLogitsProcessor(metaclass=DummyObject):34 _backends = ["tf"]35 36 def __init__(self, *args, **kwargs):37 requires_backends(self, ["tf"])38 39 40class TFLogitsProcessorList(metaclass=DummyObject):41 _backends = ["tf"]42 43 def __init__(self, *args, **kwargs):44 requires_backends(self, ["tf"])45 46 47class TFLogitsWarper(metaclass=DummyObject):48 _backends = ["tf"]49 50 def __init__(self, *args, **kwargs):51 requires_backends(self, ["tf"])52 53 54class TFMinLengthLogitsProcessor(metaclass=DummyObject):55 _backends = ["tf"]56 57 def __init__(self, *args, **kwargs):58 requires_backends(self, ["tf"])59 60 61class TFNoBadWordsLogitsProcessor(metaclass=DummyObject):62 _backends = ["tf"]63 64 def __init__(self, *args, **kwargs):65 requires_backends(self, ["tf"])66 67 68class TFNoRepeatNGramLogitsProcessor(metaclass=DummyObject):69 _backends = ["tf"]70 71 def __init__(self, *args, **kwargs):72 requires_backends(self, ["tf"])73 74 75class TFRepetitionPenaltyLogitsProcessor(metaclass=DummyObject):76 _backends = ["tf"]77 78 def __init__(self, *args, **kwargs):79 requires_backends(self, ["tf"])80 81 82class TFSuppressTokensAtBeginLogitsProcessor(metaclass=DummyObject):83 _backends = ["tf"]84 85 def __init__(self, *args, **kwargs):86 requires_backends(self, ["tf"])87 88 89class TFSuppressTokensLogitsProcessor(metaclass=DummyObject):90 _backends = ["tf"]91 92 def __init__(self, *args, **kwargs):93 requires_backends(self, ["tf"])94 95 96class TFTemperatureLogitsWarper(metaclass=DummyObject):97 _backends = ["tf"]98 99 def __init__(self, *args, **kwargs):100 requires_backends(self, ["tf"])101 102 103class TFTopKLogitsWarper(metaclass=DummyObject):104 _backends = ["tf"]105 106 def __init__(self, *args, **kwargs):107 requires_backends(self, ["tf"])108 109 110class TFTopPLogitsWarper(metaclass=DummyObject):111 _backends = ["tf"]112 113 def __init__(self, *args, **kwargs):114 requires_backends(self, ["tf"])115 116 117class KerasMetricCallback(metaclass=DummyObject):118 _backends = ["tf"]119 120 def __init__(self, *args, **kwargs):121 requires_backends(self, ["tf"])122 123 124class PushToHubCallback(metaclass=DummyObject):125 _backends = ["tf"]126 127 def __init__(self, *args, **kwargs):128 requires_backends(self, ["tf"])129 130 131class TFPreTrainedModel(metaclass=DummyObject):132 _backends = ["tf"]133 134 def __init__(self, *args, **kwargs):135 requires_backends(self, ["tf"])136 137 138class TFSequenceSummary(metaclass=DummyObject):139 _backends = ["tf"]140 141 def __init__(self, *args, **kwargs):142 requires_backends(self, ["tf"])143 144 145class TFSharedEmbeddings(metaclass=DummyObject):146 _backends = ["tf"]147 148 def __init__(self, *args, **kwargs):149 requires_backends(self, ["tf"])150 151 152def shape_list(*args, **kwargs):153 requires_backends(shape_list, ["tf"])154 155 156class AdamWeightDecay(metaclass=DummyObject):157 _backends = ["tf"]158 159 def __init__(self, *args, **kwargs):160 requires_backends(self, ["tf"])161 162 163class GradientAccumulator(metaclass=DummyObject):164 _backends = ["tf"]165 166 def __init__(self, *args, **kwargs):167 requires_backends(self, ["tf"])168 169 170class WarmUp(metaclass=DummyObject):171 _backends = ["tf"]172 173 def __init__(self, *args, **kwargs):174 requires_backends(self, ["tf"])175 176 177def create_optimizer(*args, **kwargs):178 requires_backends(create_optimizer, ["tf"])179 