Update models
This commit is contained in:
		| @@ -1,6 +1,4 @@ | ||||
| ####################################################### | ||||
| # Copyright (c) Xuanyi Dong [GitHub D-X-Y], 2021.04   # | ||||
| ####################################################### | ||||
| # Use module in xlayers to construct different models # | ||||
| ####################################################### | ||||
| from typing import List, Text, Dict, Any | ||||
| @@ -41,8 +39,8 @@ def get_model(config: Dict[Text, Any], **kwargs): | ||||
|         norm_cls = super_name2norm[kwargs["norm_cls"]] | ||||
|         sub_layers, last_dim = [], kwargs["input_dim"] | ||||
|         for i, hidden_dim in enumerate(kwargs["hidden_dims"]): | ||||
|             if last_dim > 1: | ||||
|                 sub_layers.append(norm_cls(last_dim, elementwise_affine=False)) | ||||
|             if hidden_dim > 1: | ||||
|                 sub_layers.append(norm_cls(hidden_dim, elementwise_affine=False)) | ||||
|             sub_layers.append(SuperLinear(last_dim, hidden_dim)) | ||||
|             sub_layers.append(act_cls()) | ||||
|             last_dim = hidden_dim | ||||
|   | ||||
		Reference in New Issue
	
	Block a user