\python\framework\ops.py", line 1607, in _create_c_optensorflow.python.framework.errors_impl.InvalidArgumentError, name='token_lstm_input')
File "C:\Users\DeLL\Desktop\NLP\NeuroNER-master\venv\lib\site-packages\<em
我发现来自TensorFlow的错误消息,特别是在运行时(即在sess.run()中)。解释如何理解错误信息的文档很少.有一条错误消息: File "/home/hyh/anaconda3/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1409, in _call_tf_s
我有2个三维张量A的形状(batch_size,dim1,dim2)和B的大小(batch_size,dim2,dim3).我想执行以下计算:for i in range(batch_size):我尝试了C = tf.matmul(A,B),但得到了错误:
tensorflow.python.framework.errors_impl.InvalidArgumentError:形状必须为2
shuffle=True,) # training data will be randomly shuffled at each epoch输出错误非常清楚地说明:
tensorflow.python.framework.errors_impl.InvalidArgumentError:不兼容形状: 100,530 is 100,3714{{节点丢失_1/退出_9_损耗/子}}]它无法从低维到高维拾取。
我正在尝试用tensorflow创建一个变分自动编码器。我遵循了所有的步骤,根据keras网站(),但我做了一些小的改变。Please report this to the TensorFlow team.\python\framework\ops.py", line 1619, in _create_c_optensorflow.python.framework.errors_impl.InvalidArgumentError</