Tensorflow version #11
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Hi I think it is Python3 and an older version of TensorFlow maybe 1.3. |
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Okay. And the command can be this? |
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This should be fine. |
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You could start with the command I shared in the README, that should work. |
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It takes too long, so I thought I'll give smaller values. How many CPU cores are ideally needed? And do I need a GPU? |
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You don't need a GPU -- I ran this code on a 48 core machine. If you don't have that many cores, you can reduce the number of generators because each of them is a thread. I would suggest you enlarge batch size set max_iter to 1, and reduce generator to 1. |
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Which version of numpy do I use? |
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Sorry, I don't recall. Something released before 2017 would be fine. |
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What is final output of ProjE_softmax.py supposded to be? Given input is a knowledge graph (FB15k). |
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Its just the HITS and MR scores printed on the screen. |
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What about the completed knowledge graph? |
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No there is not such output.
…On Tue, Apr 9, 2019 at 6:06 PM trishav96 ***@***.***> wrote:
What about the completed knowledge graph?
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But the paper title is knowledge graph completion right? |
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Hey,
Could you explain in a few lines what exactly you are trying to do in the
code?
Thanks,
Trisha
…On Tue, Apr 9, 2019, 6:42 PM bxshi ***@***.***> wrote:
No there is not such output.
On Tue, Apr 9, 2019 at 6:06 PM trishav96 ***@***.***> wrote:
> What about the completed knowledge graph?
>
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Hi, could you tell me which lines have the variables that store the embeddings of the entities in the Proje_softmax.py file? |
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I’m out in the woods and dont have access to a computer... it should be
named something like entities relations, etc.
…On Thu, Apr 11, 2019 at 4:18 PM trishav96 ***@***.***> wrote:
Hi, could you tell me which lines have the variables that store the
embeddings of the entities in the Proje_softmax.py file?
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Are they tensorflow variables or normal variables? |
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self.__ent_embedding = tf.get_variable("ent_embedding", [self.__n_entity, embed_dim], Is it this? (Line 187) |
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Yes!
…On Thu, Apr 11, 2019 at 9:14 PM trishav96 ***@***.***> wrote:
self.__ent_embedding = tf.get_variable("ent_embedding", [self.__n_entity,
embed_dim],
initializer=tf.random_uniform_initializer(minval=-bound,
maxval=bound,
seed=345))
Is it this? (Line 187)
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How to I read this? |
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You will need to session.run it. Print it directly just prints out the
tensorflow def.
…On Thu, Apr 11, 2019 at 9:27 PM trishav96 ***@***.***> wrote:
How to I read this?
When I do print(self.__ent_embedding) it print this -->
<tf.Variable 'ent_embedding:0' shape=(14951, 1) dtype=float32_ref>
Tensor("ProjE_1/TopKV2_1:1", shape=(?, 14951), dtype=int32,
device=/device:CPU:*)
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I've tried doing it. It didn't work. Do you have a link I can follow to do it? Please provide it? It'll be really helpful. |
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It’s basic TensorFlow operations. It should return a numpy object. I don’t
have any tutorial on hand unfortunately
…On Thu, Apr 11, 2019 at 9:29 PM trishav96 ***@***.***> wrote:
I've tried doing it. It didn't work. Do you have a link I can follow to do
it? Please provide it? It'll be really helpful.
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Okay, I'll try searching it. Thanks. |
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Hi, So I ran the code for a smaller dataset and on 8 cores with 20GB RAM. 1 generator and 2 workers. But the code doesn't end at all. It shows evaluation metrics for last iteration and is just hung there. Am I missing anything? |
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It may just take a very long time to finish I guess. I never experienced such a thing before. |
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/ProjE_softmax.py --dim 200 --batch 200 --data ./data/FB15k/ --eval_per 10 --worker 3 --eval_batch 500 --max_iter 10 --generator 1 This is the query I ran, I modified eval_per to 10 and max_iter to 10. |
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How long would it take? The dataset has ~2.5k triples. |
Hi,
Which version of tensorflow and python is used in the project?
Thanks.
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