jiegzhan
commented
7 years ago Which version of Tensorflow are you using?
I was using Tensorflow 0.9 when I built this project.
Open kumarneeraj2005 opened 7 years ago
jiegzhan
commented
7 years ago Which version of Tensorflow are you using?
I was using Tensorflow 0.9 when I built this project.
akshataph
commented
7 years ago even i am getting same error while training i am using 1.0 tensorflow version
akshataph
commented
7 years ago i changed tensorflow to 0.90 version it worked for me thanks...
ushagayatri
commented
7 years ago 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
commented
7 years ago @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
commented
7 years ago @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 $TF_BINARY_URL
ushagayatri
commented
7 years ago @kumarneeraj2005 , @jiegzhan , @akshataph
I got the below error when i executed in python 2.7 as python train.py ./data/train.csv.zip ./training_config.json. Please suggest.
nagas-MacBook-Pro:tf0.9 nagaushagayathrilokala$ 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
ushagayatri
commented
7 years ago @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
SidrahJunaid
commented
7 years ago Im also getting the same error im using python 3.4 and tensorflow=0.9
553270311
commented
5 years ago how can i predict the result
[root@bdl02node04 multi-class-text-classification-cnn-rnn-master]# python train.py 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 W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE3 instructions, but these are available on your machine and could speed up CPU computations. W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations. W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations. W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations. 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 "/root/NN/multi-class-text-classification-cnn-rnn-master/text_cnn_rnn.py", line 34, in init
pad_prio = tf.concat(1, [self.pad] * num_prio)
File "/root/anaconda2/lib/python2.7/site-packages/tensorflow/python/ops/array_ops.py", line 1047, in concat
dtype=dtypes.int32).get_shape(
File "/root/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 651, in convert_to_tensor
as_ref=False)
File "/root/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 716, in internal_convert_to_tensor
ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
File "/root/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/constant_op.py", line 176, in _constant_tensor_conversion_function
return constant(v, dtype=dtype, name=name)
File "/root/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/constant_op.py", line 165, in constant
tensor_util.make_tensor_proto(value, dtype=dtype, shape=shape, verify_shape=verify_shape))
File "/root/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/tensor_util.py", line 367, in make_tensor_proto
_AssertCompatible(values, dtype)
File "/root/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.