While Training getting error about multi-class-text-classification-cnn-rnn

[jiegzhan]

Which version of Tensorflow are you using?

I was using Tensorflow 0.9 when I built this project.

[akshataph]

even i am getting same error while training i am using 1.0 tensorflow version

[akshataph]

i changed tensorflow to 0.90 version it worked for me thanks...

[ushagayatri]

How did you change tensorflow to 0.90? Please reply.
Also Please suggest what are the changes i need to make if i have to run this with tensorflow 1.

[kumarneeraj2005]

@ushagayatri follow below steps to install Tensor-flow 0.9 on Ubuntu
export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/tensorflow-0.9.0rc0-py2-none-any.whl

sudo pip install –upgrade $TF_BINARY_URL

[ushagayatri]

@kumarneeraj2005 i have both python 2.7 and 3 running on my mac. So when i executed the above tensor flow in python 2.7 got updated to 0.9 version. So it did not work. I wonder how do i do with python3. Can you please suggest.

i tried python3 -m pip install –upgrade $TF_BINARY_URL

[ushagayatri]

@kumarneeraj2005 , @jiegzhan , @akshataph

I got the below error when i executed in python 2.7 as
python train.py ./data/train.csv.zip ./training_config.json. Please suggest.

nagas-MacBook-Pro:tf0.9 nagaushagayathrilokala$ python train.py ./data/train.csv.zip ./training_config.json
CRITICAL:root:The maximum length is 14
INFO:root:x_train: 711219, x_dev: 79025, x_test: 87805
INFO:root:y_train: 711219, y_dev: 79025, y_test: 87805
Traceback (most recent call last):
File "train.py", line 161, in
train_cnn_rnn()
File "train.py", line 60, in train_cnn_rnn
l2_reg_lambda = params['l2_reg_lambda'])
File "/Users/nagaushagayathrilokala/Desktop/tf0.9/text_cnn_rnn.py", line 34, in init
pad_prio = tf.concat([self.pad] * num_prio, 1)
File "/Users/nagaushagayathrilokala/anaconda/lib/python2.7/site-packages/tensorflow/python/ops/array_ops.py", line 458, in concat
dtype=dtypes.int32).get_shape(
File "/Users/nagaushagayathrilokala/anaconda/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 620, in convert_to_tensor
ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
File "/Users/nagaushagayathrilokala/anaconda/lib/python2.7/site-packages/tensorflow/python/ops/constant_op.py", line 179, in _constant_tensor_conversion_function
return constant(v, dtype=dtype, name=name)
File "/Users/nagaushagayathrilokala/anaconda/lib/python2.7/site-packages/tensorflow/python/ops/constant_op.py", line 162, in constant
tensor_util.make_tensor_proto(value, dtype=dtype, shape=shape))
File "/Users/nagaushagayathrilokala/anaconda/lib/python2.7/site-packages/tensorflow/python/framework/tensor_util.py", line 353, in make_tensor_proto
_AssertCompatible(values, dtype)
File "/Users/nagaushagayathrilokala/anaconda/lib/python2.7/site-packages/tensorflow/python/framework/tensor_util.py", line 290, in _AssertCompatible
(dtype.name, repr(mismatch), type(mismatch).name))
TypeError: Expected int32, got list containing Tensors of type '_Message' instead.

[ushagayatri]

@kumarneeraj2005 @jiegzhan

I tried this:
export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/tensorflow-0.9.0rc0-py3-none-any.whl
python3 -m pip install $TF_BINARY_URL

This installed tensorflow 0.9 in python3.
But still i get this error

CRITICAL:root:The maximum length is 14
INFO:root:x_train: 711219, x_dev: 79025, x_test: 87805
INFO:root:y_train: 711219, y_dev: 79025, y_test: 87805
Traceback (most recent call last):
File "train.py", line 161, in
train_cnn_rnn()
File "train.py", line 60, in train_cnn_rnn
l2_reg_lambda = params['l2_reg_lambda'])
File "/Users/nagaushagayathrilokala/Desktop/tf0.9/text_cnn_rnn.py", line 34, in init
pad_prio = tf.concat([self.pad] * num_prio, 1)
File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/tensorflow/python/ops/array_ops.py", line 458, in concat
dtype=dtypes.int32).get_shape(
File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 620, in convert_to_tensor
ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/tensorflow/python/ops/constant_op.py", line 179, in _constant_tensor_conversion_function
return constant(v, dtype=dtype, name=name)
File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/tensorflow/python/ops/constant_op.py", line 162, in constant
tensor_util.make_tensor_proto(value, dtype=dtype, shape=shape))
File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/tensorflow/python/framework/tensor_util.py", line 353, in make_tensor_proto
_AssertCompatible(values, dtype)
File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/tensorflow/python/framework/tensor_util.py", line 290, in _AssertCompatible
(dtype.name, repr(mismatch), type(mismatch).name))
TypeError: Expected int32, got list containing Tensors of type '_Message' instead.

[SidrahJunaid]

Im also getting the same error im using python 3.4 and tensorflow=0.9

[553270311]

how can i predict the result