fix the bug that parameters are note transposed. #387
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hsigmoid/README.md
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| ## 预测阶段 | ||
| 预测时，直接运行``` python infer.py ```，程序会首先load模型，然后按照batch方式进行预测，并打印预测结果。预测阶段最重要的就是根据概率得到编码路径，然后遍历路径获取最终的预测类别，这部分逻辑如下： | ||
| 预测时，在命令行运行 `infer.py --model_path XX`，通过`model_path`指定训练好的模型所在的路径。程序会首先load模型，然后按照batch方式进行预测，并打印预测结果。预测阶段最重要的就是根据概率得到编码路径，然后遍历路径获取最终的预测类别，这部分逻辑如下： |
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python infer.py --model_path ...
nce_cost/README.md
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| input=hidden_layer, | ||
| param_attr=paddle.attr.Param(name="nce_w")) | ||
| ``` | ||
| 1. 在命令行运行 `infer.py --model_path XX`，通过`model_path`指定训练好的模型所在的路径。 |
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python infer.py --model_path ...
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The develop branch has been updated. If the parameter num_classes is not set, it is automatically determined by the size of the inputlabel https://github.com/PaddlePaddle/Paddle/blob/develop/python/paddle/trainer_config_helpers/layers.py#L2344.
This may cause the problem if the size of label is not correctly set (If the size of label is not correctly set, PaddlePaddle will not throw an error.), maybe explicitly set the num_classes is better.
| return paddle.layer.hsigmoid( | ||
| input=hidden_layer, | ||
| label=target_word, | ||
| num_classes=dict_size, |
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According to the code: https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/gserver/layers/HierarchicalSigmoidLayer.cpp#L27, maybe num_classes is necessary?
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fix the bug that when loading the parameter trained by
hsigmoidandNCElayer in inferring, the parameters are not transposed.