Comments (4)
I tried tensorflow-gpu 1.13.1 and the major problem was "Blas GEMM launch failed"
It seems like to be caused by the insufficient GPU memory, mine of which is 16GB on RTX 3080 TI.
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Problems in #9 as "ValueError: Error when checking model input: the list of Numpy arrays that you are passing to your model is not the size the model expected. Expected to see 1 array(s), but instead got the following list of 6672 arrays" can be fixed in the following manner:
in evaluate.py, line 41:
original code:
model.fit(training_features, train_labels, nb_epoch=300, batch_size=128)
modify it as:
model.fit(np.array(training_features), np.array(train_labels), epochs=300, batch_size=128)
And it should be working
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Do you understand the preprocessing steps for the NELL-995 dataset,such as tasks/${relation}/train_pos and tasks/${relation}/graph.txt.
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Do you understand the preprocessing steps for the NELL-995 dataset,such as tasks/${relation}/train_pos and tasks/${relation}/graph.txt.
No I didn't go deeper down to the detailed algorithm, only managed to run the code and see what it can achieve
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Related Issues (20)
- the FB15K-237 Dataset HOT 4
- generating TransE experiment dataset
- Update Some Information about File
- about the tasks
- 20 freebase tasks HOT 2
- Tensorflow version HOT 2
- Could you explain the program more clearer? HOT 2
- About Atlas Format of PRA Contrast Experiment
- Part of the open source
- rel_net
- A.vec HOT 2
- A.bern
- Retraining code is a little different from the algorithm decription.
- 求助 HOT 2
- How to run the program with python2.7 and tensorflow1.13.1
- Why need model updating (training) in test function
- Are there anyone run the codes successfully? HOT 1
- please add prerequisites for package version HOT 6
- Error in executing link_prediction_eval.sh HOT 1
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