TypeError: Expected int32, got list containing Tensors of type '_Message' instead

[softwarentu]

Hi @zhr1201 ,
I'm very interested in your paper and want to know more about the details of the research through your source code, but I have the following problems when I run the code on the sample data provided by you.

Traceback (most recent call last):
File "SENN_train.py", line 191, in
train()
File "SENN_train.py", line 105, in train
images, targets = SE_Net.inputs(data_frames)
File "SENN.py", line 115, in inputs
for i in range(0, self.batch_size, 1)])
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/array_ops.py", line 1172, in concat
dtype=dtypes.int32).get_shape().assert_is_compatible_with(
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 946, in convert_to_tensor
as_ref=False)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 1036, in internal_convert_to_tensor
ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/constant_op.py", line 235, in _constant_tensor_conversion_function
return constant(v, dtype=dtype, name=name)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/constant_op.py", line 214, in constant
value, dtype=dtype, shape=shape, verify_shape=verify_shape))
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/tensor_util.py", line 433, in make_tensor_proto
_AssertCompatible(values, dtype)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/tensor_util.py", line 344, in _AssertCompatible
(dtype.name, repr(mismatch), type(mismatch).name))
TypeError: Expected int32, got list containing Tensors of type '_Message' instead.

[zhr1201]

I guess it's due to different tensorflow versions but I am not quite sure and don't have enough spare time to check the problem you have, sorry.

[softwarentu]

Thanks. Can you tell me what version of tensorflow you are using?

[zhr1201]

I used tf r 0.11 at that time, I guess maybe 0.12 will also work fine(but I am not sure).

[my1347]

@gemengsoftware @zhr1201 Please change "SENN.py" line110
from
`targets = tf.concat(

        [tf.reshape(0,
            speech_f[i][self.N_IN - 1][0:self.NEFF],
            [1, self.NEFF])
         for i in range(0, self.batch_size, 1)])`

to
`targets = tf.concat(

        [tf.reshape(
            speech_f[i][self.N_IN - 1][0:self.NEFF],
            [1, self.NEFF])
         for i in range(0, self.batch_size, 1)],0)`

tf.concat order of input parameters has been changed.