Question

我一直在研究基于this教程的seq2seq模型（尝试使用不同长度的输入和输出进行一些更改），只使用带有填充符号的我自己的数据集。但每当我尝试使用不同长度的输入和输出时，每当我尝试从中获得预测时，我总会得到以下错误：

InvalidArgumentError (see above for traceback): You must feed a value for placeholder tensor 'labels0' with dtype int32
 [[Node: labels0 = Placeholder[dtype=DT_INT32, shape=[], _device="/job:localhost/replica:0/task:0/cpu:0"]()]]

对于记录，这里是我的代码中的重要部分，我定义了变量和那些东西

Vairables：

encInput = [tf.placeholder(tf.int32, shape = (None,), name="inp%i" % t) for t in range(seqLengthT)]

labels = [tf.placeholder(tf.int32, shape = (None,), name="labels%i" % t) for t in range(seqLengthH)]

weights = [tf.ones_like(labels_t, dtype = tf.float32) for labels_t in labels]

decInput = ([tf.zeros_like(encInput[0], dtype = np.int32, name = "GO")] + labels[:-1])

prevMem = tf.zeros(batchSize, memoryDim)

Seq2Seq模型：

decOut, decMem = seq2seq.embedding_rnn_seq2seq(encInput, decInput, cell, vocabSizeT, vocabSizeH, embeddingDim, feed_previous = False)

损耗：

loss = seq2seq.sequence_loss(decOut, labels, weights, vocabSizeT)

测试输入：

feed_dic = {encInput[t]: batchX[t] for t in range(seqLengthT)}  feed_dic[keep_prob] = 1

以下是似乎导致所有问题的一行：

decOutBat = sess.run(decOut, feed_dic)

对我来说没有任何意义的是，我已经尝试了所有我能想到的东西，而我却无处可去。我已经确定我正在以正确的dtype输入数组，我确保所有变量都是正确的长度。有趣的是，它适用于第一个输入，即＆＃34; GO＆＃34;符号，但之后它不起作用。当我以相同的序列长度运行输入和输出时，它工作正常，正常运行。我只是希望它以这种方式运行，因为当我输出预测时，它认为它们都是0，这是填充序列，我不完全理解如何实现bucketing，所以这对我来说是最好的路线去吧。

非常感谢任何帮助

编辑：这是完整的堆栈跟踪：

Traceback (most recent call last):
  File "/home/tucker/anaconda3/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 972, in _do_call
    return fn(*args)
  File "/home/tucker/anaconda3/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 954, in _run_fn
    status, run_metadata)
  File "/home/tucker/anaconda3/lib/python3.5/contextlib.py", line 66, in __exit__
    next(self.gen)
  File "/home/tucker/anaconda3/lib/python3.5/site-packages/tensorflow/python/framework/errors.py", line 463, in raise_exception_on_not_ok_status
    pywrap_tensorflow.TF_GetCode(status))
tensorflow.python.framework.errors.InvalidArgumentError: You must feed a value for placeholder tensor 'labels2' with dtype int32
     [[Node: labels2 = Placeholder[dtype=DT_INT32, shape=[], _device="/job:localhost/replica:0/task:0/cpu:0"]()]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "run.py", line 57, in <module>
    bTest(testX, testY, batchSize)
  File "network.pyx", line 383, in network.bTest (network.c:8672)
    output = test(eX)
  File "network.pyx", line 243, in network.test (network.c:6589)
    decOutBat = sess.run(decOut, feed_dic)
  File "/home/tucker/anaconda3/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 717, in run
    run_metadata_ptr)
  File "/home/tucker/anaconda3/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 915, in _run
    feed_dict_string, options, run_metadata)
  File "/home/tucker/anaconda3/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 965, in _do_run
    target_list, options, run_metadata)
  File "/home/tucker/anaconda3/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 985, in _do_call
    raise type(e)(node_def, op, message)
tensorflow.python.framework.errors.InvalidArgumentError: You must feed a value for placeholder tensor 'labels2' with dtype int32
     [[Node: labels2 = Placeholder[dtype=DT_INT32, shape=[], _device="/job:localhost/replica:0/task:0/cpu:0"]()]]

Caused by op 'labels2', defined at:
  File "run.py", line 30, in <module>
    encInput, labels, weights, decInput, prevMem = createVariables(seqLengthT, seqLengthH, batchSize, vocabSizeT, vocabSizeH, embeddingDim, memoryDim)
  File "/home/tucker/anaconda3/lib/python3.5/site-packages/tensorflow/python/ops/array_ops.py", line 1332, in placeholder
    name=name)
  File "/home/tucker/anaconda3/lib/python3.5/site-packages/tensorflow/python/ops/gen_array_ops.py", line 1748, in _placeholder
    name=name)
  File "/home/tucker/anaconda3/lib/python3.5/site-packages/tensorflow/python/framework/op_def_library.py", line 749, in apply_op
    op_def=op_def)
  File "/home/tucker/anaconda3/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 2380, in create_op
    original_op=self._default_original_op, op_def=op_def)
  File "/home/tucker/anaconda3/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 1298, in __init__
    self._traceback = _extract_stack()

InvalidArgumentError (see above for traceback): You must feed a value for placeholder tensor 'labels2' with dtype int32
     [[Node: labels2 = Placeholder[dtype=DT_INT32, shape=[], _device="/job:localhost/replica:0/task:0/cpu:0"]()]]

具有不同长度输入和输出的Tensorflow Seq2Seq错误

0 个答案: