47 lines
1.5 KiB
Python
47 lines
1.5 KiB
Python
#####################################################
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# Copyright (c) Xuanyi Dong [GitHub D-X-Y], 2021.03 #
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#####################################################
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from .super_module import SuperRunMode
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from .super_module import IntSpaceType
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from .super_module import LayerOrder
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from .super_module import SuperModule
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from .super_container import SuperSequential
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from .super_linear import SuperLinear
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from .super_linear import SuperMLPv1, SuperMLPv2
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from .super_norm import SuperSimpleNorm
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from .super_norm import SuperLayerNorm1D
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from .super_norm import SuperSimpleLearnableNorm
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from .super_norm import SuperIdentity
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from .super_dropout import SuperDropout
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super_name2norm = {
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"simple_norm": SuperSimpleNorm,
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"simple_learn_norm": SuperSimpleLearnableNorm,
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"layer_norm_1d": SuperLayerNorm1D,
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"identity": SuperIdentity,
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}
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from .super_attention import SuperAttention
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from .super_transformer import SuperTransformerEncoderLayer
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from .super_activations import SuperReLU
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from .super_activations import SuperLeakyReLU
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from .super_activations import SuperTanh
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from .super_activations import SuperGELU
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from .super_activations import SuperSigmoid
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super_name2activation = {
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"relu": SuperReLU,
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"sigmoid": SuperSigmoid,
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"gelu": SuperGELU,
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"leaky_relu": SuperLeakyReLU,
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"tanh": SuperTanh,
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}
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from .super_trade_stem import SuperAlphaEBDv1
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from .super_positional_embedding import SuperDynamicPositionE
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from .super_positional_embedding import SuperPositionalEncoder
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