Add super/norm layers in xcore

lib/xlayers/super_core.py

@@ -9,13 +9,27 @@ from .super_module import SuperModule
 from .super_container import SuperSequential
 from .super_linear import SuperLinear
 from .super_linear import SuperMLPv1, SuperMLPv2
+
 from .super_norm import SuperSimpleNorm
 from .super_norm import SuperLayerNorm1D
+from .super_norm import SuperSimpleLearnableNorm
+from .super_norm import SuperIdentity
+
+super_name2norm = {
+    "simple_norm": SuperSimpleNorm,
+    "simple_learn_norm": SuperSimpleLearnableNorm,
+    "layer_norm_1d": SuperLayerNorm1D,
+    "identity": SuperIdentity,
+}
+
 from .super_attention import SuperAttention
 from .super_transformer import SuperTransformerEncoderLayer
 
 from .super_activations import SuperReLU
 from .super_activations import SuperLeakyReLU
 
+super_name2activation = {"relu": SuperReLU, "leaky_relu": SuperLeakyReLU}
+
+
 from .super_trade_stem import SuperAlphaEBDv1
 from .super_positional_embedding import SuperPositionalEncoder