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tensorflow has no attribute placeholder #20

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wobweger opened this issue Jul 31, 2020 · 0 comments
Open

tensorflow has no attribute placeholder #20

wobweger opened this issue Jul 31, 2020 · 0 comments

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@wobweger
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I get an error on tensorflow has no attribute placeholder

[wal@sokrates src]$ python3 preprocess.py --dataset movie
reading item index to entity id file: ../data/movie/item_index2entity_id_rehashed.txt ...
reading rating file ...
converting rating file ...
number of users: 6036
number of items: 2445
converting kg file ...
number of entities (containing items): 182011
number of relations: 12
done
[wal@sokrates src]$ python3 main.py --dataset movie
2020-07-31 07:16:47.893636: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory
2020-07-31 07:16:47.893676: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
reading rating file ...
splitting dataset ...
reading KG file ...
constructing knowledge graph ...
constructing ripple set ...
Traceback (most recent call last):
  File "main.py", line 45, in <module>
    train(args, data_info, show_loss)
  File "/home/wal/src/github/RippleNet/src/train.py", line 14, in train
    model = RippleNet(args, n_entity, n_relation)
  File "/home/wal/src/github/RippleNet/src/model.py", line 9, in __init__
    self._build_inputs()
  File "/home/wal/src/github/RippleNet/src/model.py", line 28, in _build_inputs
    self.items = tf.placeholder(dtype=tf.int32, shape=[None], name="items")
AttributeError: module 'tensorflow' has no attribute 'placeholder'

my installation running on CentOS8 ⬇️

[wal@sokrates src]$ pip3 install tensorflow
Defaulting to user installation because normal site-packages is not writeable
Collecting tensorflow
  Downloading tensorflow-2.3.0-cp36-cp36m-manylinux2010_x86_64.whl (320.4 MB)
     |████████████████████████████████| 320.4 MB 38 kB/s 
Collecting opt-einsum>=2.3.2
  Downloading opt_einsum-3.3.0-py3-none-any.whl (65 kB)
     |████████████████████████████████| 65 kB 2.1 MB/s 
Collecting keras-preprocessing<1.2,>=1.1.1
  Downloading Keras_Preprocessing-1.1.2-py2.py3-none-any.whl (42 kB)
     |████████████████████████████████| 42 kB 7.1 kB/s 
Requirement already satisfied: numpy<1.19.0,>=1.16.0 in /usr/local/lib64/python3.6/site-packages (from tensorflow) (1.18.2)
Collecting grpcio>=1.8.6
  Downloading grpcio-1.30.0-cp36-cp36m-manylinux2010_x86_64.whl (3.0 MB)
     |████████████████████████████████| 3.0 MB 3.6 MB/s 
Collecting tensorboard<3,>=2.3.0
  Downloading tensorboard-2.3.0-py3-none-any.whl (6.8 MB)
     |████████████████████████████████| 6.8 MB 3.7 MB/s 
Collecting six>=1.12.0
  Downloading six-1.15.0-py2.py3-none-any.whl (10 kB)
Collecting astunparse==1.6.3
  Downloading astunparse-1.6.3-py2.py3-none-any.whl (12 kB)
Collecting wrapt>=1.11.1
  Downloading wrapt-1.12.1.tar.gz (27 kB)
Collecting termcolor>=1.1.0
  Downloading termcolor-1.1.0.tar.gz (3.9 kB)
Collecting google-pasta>=0.1.8
  Downloading google_pasta-0.2.0-py3-none-any.whl (57 kB)
     |████████████████████████████████| 57 kB 1.7 MB/s 
Collecting tensorflow-estimator<2.4.0,>=2.3.0
  Downloading tensorflow_estimator-2.3.0-py2.py3-none-any.whl (459 kB)
     |████████████████████████████████| 459 kB 2.6 MB/s 
Collecting h5py<2.11.0,>=2.10.0
  Downloading h5py-2.10.0-cp36-cp36m-manylinux1_x86_64.whl (2.9 MB)
     |████████████████████████████████| 2.9 MB 2.9 MB/s 
Collecting gast==0.3.3
  Downloading gast-0.3.3-py2.py3-none-any.whl (9.7 kB)
Collecting absl-py>=0.7.0
  Downloading absl-py-0.9.0.tar.gz (104 kB)
     |████████████████████████████████| 104 kB 4.7 MB/s 
Collecting scipy==1.4.1
  Downloading scipy-1.4.1-cp36-cp36m-manylinux1_x86_64.whl (26.1 MB)
     |████████████████████████████████| 26.1 MB 3.5 MB/s 
Requirement already satisfied: wheel>=0.26 in /home/wal/.local/lib/python3.6/site-packages (from tensorflow) (0.34.2)
Collecting protobuf>=3.9.2
  Downloading protobuf-3.12.4-cp36-cp36m-manylinux1_x86_64.whl (1.3 MB)
     |████████████████████████████████| 1.3 MB 2.5 MB/s 
Requirement already satisfied: setuptools>=41.0.0 in /home/wal/.local/lib/python3.6/site-packages (from tensorboard<3,>=2.3.0->tensorflow) (46.1.3)
Collecting tensorboard-plugin-wit>=1.6.0
  Downloading tensorboard_plugin_wit-1.7.0-py3-none-any.whl (779 kB)
     |████████████████████████████████| 779 kB 3.0 MB/s 
Collecting google-auth-oauthlib<0.5,>=0.4.1
  Downloading google_auth_oauthlib-0.4.1-py2.py3-none-any.whl (18 kB)
Collecting requests<3,>=2.21.0
  Downloading requests-2.24.0-py2.py3-none-any.whl (61 kB)
     |████████████████████████████████| 61 kB 319 kB/s 
Collecting google-auth<2,>=1.6.3
  Downloading google_auth-1.20.0-py2.py3-none-any.whl (91 kB)
     |████████████████████████████████| 91 kB 3.0 MB/s 
Collecting markdown>=2.6.8
  Downloading Markdown-3.2.2-py3-none-any.whl (88 kB)
     |████████████████████████████████| 88 kB 2.1 MB/s 
Collecting werkzeug>=0.11.15
  Downloading Werkzeug-1.0.1-py2.py3-none-any.whl (298 kB)
     |████████████████████████████████| 298 kB 2.9 MB/s 
Collecting requests-oauthlib>=0.7.0
  Downloading requests_oauthlib-1.3.0-py2.py3-none-any.whl (23 kB)
Requirement already satisfied: idna<3,>=2.5 in /usr/lib/python3.6/site-packages (from requests<3,>=2.21.0->tensorboard<3,>=2.3.0->tensorflow) (2.5)
Collecting certifi>=2017.4.17
  Downloading certifi-2020.6.20-py2.py3-none-any.whl (156 kB)
     |████████████████████████████████| 156 kB 2.3 MB/s 
Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/lib/python3.6/site-packages (from requests<3,>=2.21.0->tensorboard<3,>=2.3.0->tensorflow) (1.24.2)
Requirement already satisfied: chardet<4,>=3.0.2 in /usr/lib/python3.6/site-packages (from requests<3,>=2.21.0->tensorboard<3,>=2.3.0->tensorflow) (3.0.4)
Collecting cachetools<5.0,>=2.0.0
  Downloading cachetools-4.1.1-py3-none-any.whl (10 kB)
Collecting rsa<5,>=3.1.4; python_version >= "3.5"
  Downloading rsa-4.6-py3-none-any.whl (47 kB)
     |████████████████████████████████| 47 kB 1.8 MB/s 
Collecting pyasn1-modules>=0.2.1
  Downloading pyasn1_modules-0.2.8-py2.py3-none-any.whl (155 kB)
     |████████████████████████████████| 155 kB 3.0 MB/s 
Requirement already satisfied: importlib-metadata; python_version < "3.8" in /usr/local/lib/python3.6/site-packages (from markdown>=2.6.8->tensorboard<3,>=2.3.0->tensorflow) (1.6.0)
Collecting oauthlib>=3.0.0
  Downloading oauthlib-3.1.0-py2.py3-none-any.whl (147 kB)
     |████████████████████████████████| 147 kB 2.6 MB/s 
Collecting pyasn1>=0.1.3
  Downloading pyasn1-0.4.8-py2.py3-none-any.whl (77 kB)
     |████████████████████████████████| 77 kB 2.4 MB/s 
Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.6/site-packages (from importlib-metadata; python_version < "3.8"->markdown>=2.6.8->tensorboard<3,>=2.3.0->tensorflow) (3.1.0)
Building wheels for collected packages: wrapt, termcolor, absl-py
  Building wheel for wrapt (setup.py) ... done
  Created wheel for wrapt: filename=wrapt-1.12.1-py3-none-any.whl size=19553 sha256=41ab74e739aa621d009b5b350e811214afad647ffbc731e00f46d29e571fb7d6
  Stored in directory: /home/wal/.cache/pip/wheels/32/42/7f/23cae9ff6ef66798d00dc5d659088e57dbba01566f6c60db63
  Building wheel for termcolor (setup.py) ... done
  Created wheel for termcolor: filename=termcolor-1.1.0-py3-none-any.whl size=4830 sha256=830b62f601c1585e2beaa337eb76d19172e15f8fd5db527f6d745ae63ece2a6a
  Stored in directory: /home/wal/.cache/pip/wheels/93/2a/eb/e58dbcbc963549ee4f065ff80a59f274cc7210b6eab962acdc
  Building wheel for absl-py (setup.py) ... done
  Created wheel for absl-py: filename=absl_py-0.9.0-py3-none-any.whl size=121931 sha256=7b89b84de07364d0141edbeb017d1bb09874243caf53f5181a8b59f3fe3ab447
  Stored in directory: /home/wal/.cache/pip/wheels/c3/af/84/3962a6af7b4ab336e951b7877dcfb758cf94548bb1771e0679
Successfully built wrapt termcolor absl-py
Installing collected packages: opt-einsum, six, keras-preprocessing, grpcio, absl-py, tensorboard-plugin-wit, cachetools, pyasn1, rsa, pyasn1-modules, google-auth, certifi, requests, oauthlib, requests-oauthlib, google-auth-oauthlib, protobuf, markdown, werkzeug, tensorboard, astunparse, wrapt, termcolor, google-pasta, tensorflow-estimator, h5py, gast, scipy, tensorflow
Successfully installed absl-py-0.9.0 astunparse-1.6.3 cachetools-4.1.1 certifi-2020.6.20 gast-0.3.3 google-auth-1.20.0 google-auth-oauthlib-0.4.1 google-pasta-0.2.0 grpcio-1.30.0 h5py-2.10.0 keras-preprocessing-1.1.2 markdown-3.2.2 oauthlib-3.1.0 opt-einsum-3.3.0 protobuf-3.12.4 pyasn1-0.4.8 pyasn1-modules-0.2.8 requests-2.24.0 requests-oauthlib-1.3.0 rsa-4.6 scipy-1.4.1 six-1.15.0 tensorboard-2.3.0 tensorboard-plugin-wit-1.7.0 tensorflow-2.3.0 tensorflow-estimator-2.3.0 termcolor-1.1.0 werkzeug-1.0.1 wrapt-1.12.1
WARNING: You are using pip version 20.1.1; however, version 20.2 is available.
You should consider upgrading via the '/usr/bin/python3 -m pip install --upgrade pip' command.
[wal@sokrates src]$ pip3 install sklearn
Defaulting to user installation because normal site-packages is not writeable
Collecting sklearn
  Downloading sklearn-0.0.tar.gz (1.1 kB)
Collecting scikit-learn
  Downloading scikit_learn-0.23.1-cp36-cp36m-manylinux1_x86_64.whl (6.8 MB)
     |████████████████████████████████| 6.8 MB 2.4 MB/s 
Collecting threadpoolctl>=2.0.0
  Downloading threadpoolctl-2.1.0-py3-none-any.whl (12 kB)
Collecting joblib>=0.11
  Downloading joblib-0.16.0-py3-none-any.whl (300 kB)
     |████████████████████████████████| 300 kB 2.3 MB/s 
Requirement already satisfied: numpy>=1.13.3 in /usr/local/lib64/python3.6/site-packages (from scikit-learn->sklearn) (1.18.2)
Requirement already satisfied: scipy>=0.19.1 in /home/wal/.local/lib/python3.6/site-packages (from scikit-learn->sklearn) (1.4.1)
Building wheels for collected packages: sklearn
  Building wheel for sklearn (setup.py) ... done
  Created wheel for sklearn: filename=sklearn-0.0-py2.py3-none-any.whl size=1315 sha256=9513e4d84f5f4f90e3a2366ac1c11226624e08fe6bc41b99ecc2e77e70f044cc
  Stored in directory: /home/wal/.cache/pip/wheels/23/9d/42/5ec745cbbb17517000a53cecc49d6a865450d1f5cb16dc8a9c
Successfully built sklearn
Installing collected packages: threadpoolctl, joblib, scikit-learn, sklearn
Successfully installed joblib-0.16.0 scikit-learn-0.23.1 sklearn-0.0 threadpoolctl-2.1.0
WARNING: You are using pip version 20.1.1; however, version 20.2 is available.
You should consider upgrading via the '/usr/bin/python3 -m pip install --upgrade pip' command.
[wal@sokrates src]$ python3 preprocess.py --dataset movie
reading item index to entity id file: ../data/movie/item_index2entity_id_rehashed.txt ...
reading rating file ...
converting rating file ...
number of users: 6036
number of items: 2445
converting kg file ...
number of entities (containing items): 182011
number of relations: 12
done
[wal@sokrates src]$ python3 main.py --dataset movie
2020-07-31 07:16:47.893636: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory
2020-07-31 07:16:47.893676: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
reading rating file ...
splitting dataset ...
reading KG file ...
constructing knowledge graph ...
constructing ripple set ...
Traceback (most recent call last):
  File "main.py", line 45, in <module>
    train(args, data_info, show_loss)
  File "/home/wal/src/github/RippleNet/src/train.py", line 14, in train
    model = RippleNet(args, n_entity, n_relation)
  File "/home/wal/src/github/RippleNet/src/model.py", line 9, in __init__
    self._build_inputs()
  File "/home/wal/src/github/RippleNet/src/model.py", line 28, in _build_inputs
    self.items = tf.placeholder(dtype=tf.int32, shape=[None], name="items")
AttributeError: module 'tensorflow' has no attribute 'placeholder'
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@wobweger