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Description
When running this code under Tensorflow 1.0, I get
Traceback (most recent call last):
File "single.py", line 99, in <module>
l2_lambda=FLAGS.l2_lambda)
File "/home/zen/uu/key-value-memory-networks/key_value_memory/memn2n_kv.py", line 124, in __init__
initializer=tf.contrib.layers.xavier_initializer())])
File "/home/zen/anaconda2/lib/python2.7/site-packages/tensorflow/python/ops/array_ops.py", line 1029, in concat
dtype=dtypes.int32).get_shape(
File "/home/zen/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 639, in convert_to_tensor
as_ref=False)
File "/home/zen/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 704, in internal_convert_to_tensor
ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
File "/home/zen/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 "/home/zen/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 "/home/zen/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/tensor_util.py", line 370, in make_tensor_proto
_AssertCompatible(values, dtype)
File "/home/zen/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.
How do you suggest changing it?
This link is relevant: https://stackoverflow.com/questions/41813665/tensorflow-slim-typeerror-expected-int32-got-list-containing-tensors-of-type
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