我用tensorflow实现CNN，但是我遇到tensorflow.python.framework.errors_impl.InvalidArgumentError：

-1

Traceback (most recent call last): 
    File "C:/Users/ljz/PycharmProjects/TFConvLSTM/LSTMnetwork.py", line 136, in <module> 
    sess.run(train_step, feed_dict={x: X_train[start:end], y_: y_train[start:end]}) 
    File "C:\Users\ljz\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\client\session.py", line 767, in run 
    run_metadata_ptr) 
    File "C:\Users\ljz\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\client\session.py", line 965, in _run 
    feed_dict_string, options, run_metadata) 
    File "C:\Users\ljz\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\client\session.py", line 1015, in _do_run 
    target_list, options, run_metadata) 
    File "C:\Users\ljz\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\client\session.py", line 1035, in _do_call 
    raise type(e)(node_def, op, message) 
tensorflow.python.framework.errors_impl.InvalidArgumentError: Incompatible shapes: [1500,18] vs. [22500,18] 
    [[Node: mul = Mul[T=DT_FLOAT, _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_Placeholder_1_0, Log)]] 

Caused by op 'mul', defined at: 
    File "C:/Users/ljz/PycharmProjects/TFConvLSTM/LSTMnetwork.py", line 113, in <module> 
    cross_entropy=tf.reduce_mean(-tf.reduce_sum(y_*tf.log(y_conv),reduction_indices=[1])) 
    File "C:\Users\ljz\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\ops\math_ops.py", line 884, in binary_op_wrapper 
    return func(x, y, name=name) 
    File "C:\Users\ljz\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\ops\math_ops.py", line 1105, in _mul_dispatch 
    return gen_math_ops._mul(x, y, name=name) 
    File "C:\Users\ljz\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\ops\gen_math_ops.py", line 1625, in _mul 
    result = _op_def_lib.apply_op("Mul", x=x, y=y, name=name) 
    File "C:\Users\ljz\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 763, in apply_op 
    op_def=op_def) 
    File "C:\Users\ljz\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\framework\ops.py", line 2395, in create_op 
    original_op=self._default_original_op, op_def=op_def) 
    File "C:\Users\ljz\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\framework\ops.py", line 1264, in __init__ 
    self._traceback = _extract_stack() 

InvalidArgumentError (see above for traceback): Incompatible shapes: [1500,18] vs. [22500,18] 
    [[Node: mul = Mul[T=DT_FLOAT, _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_Placeholder_1_0, Log)]]

来源

2017-04-23 lijiazhen

你的问题是什么？ –

Caused by op 'mul', defined at: File "C:/Users/ljz/PycharmProjects/TFConvLSTM/LSTMnetwork.py", line 113, in cross_entropy=tf.reduce_mean(-tf.reduce_sum(y_*tf.log(y_conv),reduction_indices=[1])) 和

InvalidArgumentError (see above for traceback): Incompatible shapes: [1500,18] vs. [22500,18] [[Node: mul = Mul[T=DT_FLOAT, _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_Placeholder_1_0, Log)]]

=>确保y和y_conv具有相同或broadcastable形状。

来源

2017-04-23 06:11:00

问题的代码： cross_entropy = tf.reduce_mean（-tf.reduce_sum（Y_ * tf.log（y_conv），reduction_indices = [1]））

如你正在试图乘两个张量Y_和y_conv ，它们必须具有相同的形状，即[1500,18]或两者[22500,18]

在你的情况下，y_应该是输入标签，而y_conv应该是计算logits，而18应该是输出的数量神经元。所以我猜你的批量输入数据（x）和标签（y_）是不一样的。检查它并使它们相同。

来源

2017-04-23 09:05:23 user000001

我用tensorflow实现CNN，但是我遇到tensorflow.python.framework.errors_impl.InvalidArgumentError：

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