來自tensorlayer的TypeError由於tf.concat導致的ConcatLayer API更改

我正在使用tensorlayer的concatLayer來連接兩個輸入，一個是嵌入，另一個是其他附加輸入。 tl.layers.ConcatLayer總是運行到TypeError中：「Expected int32，獲取包含'_Message'類型的張量的列表。」來自tensorlayer的TypeError由於tf.concat導致的ConcatLayer API更改

似乎tf.concat（）API的變化可能是一個原因，但我使用TF 1.2.0 + tensorlayer 1.5.1（蟒蛇2.7.13 |蟒蛇4.3.0）

有人能幫忙嗎？由於-Wei

網絡設計：

emb_net = tl.layers.EmbeddingInputlayer(
    inputs = x, 
    vocabulary_size = VOCAB_SIZE, 
    embedding_size = FLAGS.embedding_size, 
    E_init = tf.random_uniform_initializer(
     -FLAGS.init_scale, FLAGS.init_scale), 
    name = 'embedding') 

word_bound = tl.layers.InputLayer(
    inputs = x_wb, 
    name = 'word_boundary') 

network = tl.layers.ConcatLayer(
    layer = [emb_net, word_bound], 
    concat_dim = 1, 
    name = 'concat_layer')

錯誤消息：

File "./tensorlayer_lstm_classifier.py", line 147, in do_training 
    reuse=None) 
    File "./tensorlayer_lstm_classifier.py", line 53, in inference 
    name = 'concat_layer') 
    File "/Users/lin/anaconda2/lib/python2.7/site-packages/tensorlayer/layers.py", line 4717, in __init__ 
    self.outputs = tf.concat(concat_dim, self.inputs, name=name) 
    File "/Users/lin/anaconda2/lib/python2.7/site-packages/tensorflow/python/ops/array_ops.py", line 1043, in concat 
    dtype=dtypes.int32).get_shape(
    File "/Users/lin/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 676, in convert_to_tensor 
    as_ref=False) 
    File "/Users/lin/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 741, in internal_convert_to_tensor 
    ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref) 
    File "/Users/lin/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/constant_op.py", line 113, in _constant_tensor_conversion_function 
    return constant(v, dtype=dtype, name=name) 
    File "/Users/lin/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/constant_op.py", line 102, in constant 
    tensor_util.make_tensor_proto(value, dtype=dtype, shape=shape, verify_shape=verify_shape)) 
    File "/Users/lin/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/tensor_util.py", line 374, in make_tensor_proto 
    _AssertCompatible(values, dtype) 
    File "/Users/lin/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/tensor_util.py", line 302, in _AssertCompatible 
    (dtype.name, repr(mismatch), type(mismatch).__name__)) 
TypeError: Expected int32, got list containing Tensors of type '_Message' instead.

來源

2017-06-22 Wei Zhang

你可以檢查X和x_wb的尺寸？

來源

2017-06-22 10:37:20 zsdh

軸輸入已更正爲cocat_dim = 2，因爲concat輸入爲三維 –

我解決了這個問題，雖然還是有點文件 anaconda2/lib中/ python2.7 /站點包/ tensorlayer/layers.py，線4717，不解

只是不停TF的第一行.concat（）

try: # TF1.0 
    self.outputs = tf.concat(self.inputs, concat_dim, name=name) 
except: # TF0.12 
    self.outputs = tf.concat(concat_dim, self.inputs, name=name)

來源

2017-06-22 15:53:28

來自tensorlayer的TypeError由於tf.concat導致的ConcatLayer API更改

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