模型初始化的时候出错，请教一下原因

[cglirang]

参数全部默认

训练数据：
放 推荐动词_S
一 O_S
首 O_S
我 歌曲名_B
们 歌曲名_M
的 歌曲名_M
世 歌曲名_M
代 歌曲名_E
。 O_S

适 O_B
合 O_E
老 其他实体_B
人 其他实体_E
的 O_S
爱 歌曲名_B
情 歌曲名_M
的 歌曲名_M
结 歌曲名_M
束 歌曲名_E
。 O_S

具体错误：
File "train.py", line 47, in <module> model = BILSTM_CRF(num_chars=num_chars, num_classes=num_classes, num_steps=num_steps, num_epochs=num_epochs, embedding_matrix=embedding_matrix, is_training=True) File "/home/lirang/workspace/sequence-labeling/code/bilstm_crf/BILSTM_CRF.py", line 103, in __init__ self.total_path_score, self.max_scores, self.max_scores_pre = self.forward(self.observations, self.transitions, self.length) File "/home/lirang/workspace/sequence-labeling/code/bilstm_crf/BILSTM_CRF.py", line 121, in forward transitions = tf.reshape(tf.concat(0, [transitions] * self.batch_size), [self.batch_size, 6, 6]) File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/gen_array_ops.py", line 1092, in reshape name=name) File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/op_def_library.py", line 655, in apply_op op_def=op_def) File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 2156, in create_op set_shapes_for_outputs(ret) File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 1612, in set_shapes_for_outputs shapes = shape_func(op) File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/array_ops.py", line 1115, in _ReshapeShape % (num_elements.value, new_shape, np.prod(new_shape))) ValueError: Cannot reshape a tensor with 512 elements to shape [128, 6, 6] (4608 elements)

[chilynn]

你好，目前这个版本只能支持BMEO这4种label，[self.batch_size, 6, 6]，这里的6是在头和尾各加了一个标识，即6 = 4+1+1。
请把：歌曲名_B 改为 B
如果需要识别歌曲名，可以单独标识歌曲名，其他的都是O
如果需要识别多种类型的实体，请训练多个模型
谢谢你的反馈^_^，我会在下个版本中考虑label的多样性