You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I was able to clone the github project on Google Colab then installed the packages as close as possible to the ones specified on Readme:
!pip install tensorflow==1.13.1
!pip install numpy==1.15.4
!pip install scipy==1.1.0
!pip install scikit-learn==0.20.0
Unfortunately I have been hitting and IndexError after Epoch 0:
ModuleNotFoundError: No module named 'numpy.core._multiarray_umath'
[n_users, n_items]=[70679, 24915]
[n_train, n_test]=[652514, 193920]
[n_entities, n_relations, n_triples]=[113487, 39, 2557746]
[batch_size, batch_size_kg]=[1024, 4015]
convert ratings into adj mat done.
convert 80 relational triples into adj mat done. @1.7324s
/content/drive/My Drive/Colab Notebooks/TCSS 593/knowledge_graph_attention_network/Model/utility/loader_kgat.py:87: RuntimeWarning: divide by zero encountered in power
d_inv = np.power(rowsum, -1).flatten()
generate si-normalized adjacency matrix.
reordering indices...
reorganize all kg data done.
sort meta-data done.
sort all data done.
load the pretrained bprmf model parameters.
WARNING: The TensorFlow contrib module will not be included in TensorFlow 2.0.
For more information, please see:
WARNING:tensorflow:From /usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.
Instructions for updating:
Colocations handled automatically by placer.
using pretrained initialization
WARNING:tensorflow:From /content/drive/My Drive/Colab Notebooks/TCSS 593/knowledge_graph_attention_network/Model/KGAT.py:289: calling dropout (from tensorflow.python.ops.nn_ops) with keep_prob is deprecated and will be removed in a future version.
Instructions for updating:
Please use rate instead of keep_prob. Rate should be set to rate = 1 - keep_prob.
WARNING:tensorflow:From /usr/local/lib/python3.7/dist-packages/tensorflow/python/ops/math_ops.py:3066: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.cast instead.
#params: 12146384
without pretraining.
Epoch 0 [5124.6s]: train==[434.08832=14.35307 + 419.35645 + 0.37843]
Traceback (most recent call last):
File "Main.py", line 342, in
best_rec_0 = max(recs[:, 0])
IndexError: too many indices for array
The text was updated successfully, but these errors were encountered:
I was able to clone the github project on Google Colab then installed the packages as close as possible to the ones specified on Readme:
!pip install tensorflow==1.13.1
!pip install numpy==1.15.4
!pip install scipy==1.1.0
!pip install scikit-learn==0.20.0
Unfortunately I have been hitting and IndexError after Epoch 0:
ModuleNotFoundError: No module named 'numpy.core._multiarray_umath'
[n_users, n_items]=[70679, 24915]
[n_train, n_test]=[652514, 193920]
[n_entities, n_relations, n_triples]=[113487, 39, 2557746]
[batch_size, batch_size_kg]=[1024, 4015]
convert ratings into adj mat done.
convert 80 relational triples into adj mat done. @1.7324s
/content/drive/My Drive/Colab Notebooks/TCSS 593/knowledge_graph_attention_network/Model/utility/loader_kgat.py:87: RuntimeWarning: divide by zero encountered in power
d_inv = np.power(rowsum, -1).flatten()
generate si-normalized adjacency matrix.
reordering indices...
reorganize all kg data done.
sort meta-data done.
sort all data done.
load the pretrained bprmf model parameters.
WARNING: The TensorFlow contrib module will not be included in TensorFlow 2.0.
For more information, please see:
If you depend on functionality not listed there, please file an issue.
WARNING:tensorflow:From /usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.
Instructions for updating:
Colocations handled automatically by placer.
using pretrained initialization
WARNING:tensorflow:From /content/drive/My Drive/Colab Notebooks/TCSS 593/knowledge_graph_attention_network/Model/KGAT.py:289: calling dropout (from tensorflow.python.ops.nn_ops) with keep_prob is deprecated and will be removed in a future version.
Instructions for updating:
Please use
rate
instead ofkeep_prob
. Rate should be set torate = 1 - keep_prob
.WARNING:tensorflow:From /usr/local/lib/python3.7/dist-packages/tensorflow/python/ops/math_ops.py:3066: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.cast instead.
#params: 12146384
without pretraining.
Epoch 0 [5124.6s]: train==[434.08832=14.35307 + 419.35645 + 0.37843]
Traceback (most recent call last):
File "Main.py", line 342, in
best_rec_0 = max(recs[:, 0])
IndexError: too many indices for array
The text was updated successfully, but these errors were encountered: