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D-X-Y
2021-05-12 20:32:50 +08:00
parent 06f4a1f1cf
commit 0b1ca45c44
8 changed files with 121 additions and 15 deletions
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16
lib/models/xcore.py
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@@ -11,6 +11,7 @@ __all__ = ["get_model"]
from xlayers.super_core import SuperSequential
from xlayers.super_core import SuperLinear
from xlayers.super_core import SuperDropout
from xlayers.super_core import super_name2norm
from xlayers.super_core import super_name2activation
@@ -47,7 +48,20 @@ def get_model(config: Dict[Text, Any], **kwargs):
last_dim = hidden_dim
sub_layers.append(SuperLinear(last_dim, kwargs["output_dim"]))
model = SuperSequential(*sub_layers)
elif model_type == "dual_norm_mlp":
act_cls = super_name2activation[kwargs["act_cls"]]
norm_cls = super_name2norm[kwargs["norm_cls"]]
sub_layers, last_dim = [], kwargs["input_dim"]
for i, hidden_dim in enumerate(kwargs["hidden_dims"]):
if i > 0:
sub_layers.append(norm_cls(last_dim, elementwise_affine=False))
sub_layers.append(SuperLinear(last_dim, hidden_dim))
sub_layers.append(SuperDropout(kwargs["dropout"]))
sub_layers.append(SuperLinear(hidden_dim, hidden_dim))
sub_layers.append(act_cls())
last_dim = hidden_dim
sub_layers.append(SuperLinear(last_dim, kwargs["output_dim"]))
model = SuperSequential(*sub_layers)
else:
raise TypeError("Unkonwn model type: {:}".format(model_type))
return model