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self.point_score = tf.gather(tf.reshape(self.tags_scores, [-1]), tf.range(0, self.batch_size * self.num_steps) * self.num_classes + tf.reshape(self.targets,[self.batch_size * self.num_steps])) self.point_score *= self.mask
这里targets的label是从1开始计数的,而tags_scores对应的classes是从0开始计数的..不会有问题么? 还是我漏看了什么..
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你好,targets的label是从0开始的,y=0即“”,也是会算进去的,运行后会生成label2id文件。
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这里targets的label是从1开始计数的,而tags_scores对应的classes是从0开始计数的..不会有问题么? 还是我漏看了什么..
The text was updated successfully, but these errors were encountered: