ProjE
ProjE copied to clipboard
bxshi
Tensorflow version
Hi,
Which version of tensorflow and python is used in the project?
Thanks.
Okay. And the command can be this? ./ProjE_softmax.py --dim 5 --batch 5 --data ./data/FB15k/ --eval_per 1 --worker 5 --eval_batch 5 --max_iter 5 --generator 5?
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?
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.
What is final output of ProjE_softmax.py supposded to be? Given input is a knowledge graph (FB15k).
No there is not such output.
On Tue, Apr 9, 2019 at 6:06 PM trishav96 [email protected] wrote:
What about the completed knowledge graph?
— You are receiving this because you commented.
Reply to this email directly, view it on GitHub https://github.com/bxshi/ProjE/issues/11#issuecomment-481494414, or mute the thread https://github.com/notifications/unsubscribe-auth/ABQQQ7wnMwX01klgFPn3edA68-nrfCz5ks5vfTkIgaJpZM4cjGj_ .
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 [email protected] wrote:
No there is not such output.
On Tue, Apr 9, 2019 at 6:06 PM trishav96 [email protected] wrote:
What about the completed knowledge graph?
— You are receiving this because you commented.
Reply to this email directly, view it on GitHub https://github.com/bxshi/ProjE/issues/11#issuecomment-481494414, or mute the thread < https://github.com/notifications/unsubscribe-auth/ABQQQ7wnMwX01klgFPn3edA68-nrfCz5ks5vfTkIgaJpZM4cjGj_
.
— You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub https://github.com/bxshi/ProjE/issues/11#issuecomment-481500824, or mute the thread https://github.com/notifications/unsubscribe-auth/AS_iWPU3ZClHc--Vznj0HnNeaumQ5SPCks5vfUGigaJpZM4cjGj_ .
Hi, could you tell me which lines have the variables that store the embeddings of the entities in the Proje_softmax.py file?
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 [email protected] wrote:
Hi, could you tell me which lines have the variables that store the embeddings of the entities in the Proje_softmax.py file?
— You are receiving this because you commented.
Reply to this email directly, view it on GitHub https://github.com/bxshi/ProjE/issues/11#issuecomment-482369501, or mute the thread https://github.com/notifications/unsubscribe-auth/ABQQQ-on0XIJd0SeqeUbWVydvv63nva-ks5vf8LCgaJpZM4cjGj_ .
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)
Yes!
On Thu, Apr 11, 2019 at 9:14 PM trishav96 [email protected] 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)
— You are receiving this because you commented.
Reply to this email directly, view it on GitHub https://github.com/bxshi/ProjE/issues/11#issuecomment-482430797, or mute the thread https://github.com/notifications/unsubscribe-auth/ABQQQ6Tuqaqy7iIrfYO7gaMszeWRGo_Yks5vgAg4gaJpZM4cjGj_ .
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:*)
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 [email protected] 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:*)
— You are receiving this because you commented.
Reply to this email directly, view it on GitHub https://github.com/bxshi/ProjE/issues/11#issuecomment-482432613, or mute the thread https://github.com/notifications/unsubscribe-auth/ABQQQyyff1H98ApGE01SNtqg6rHTUDefks5vgAsXgaJpZM4cjGj_ .
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.
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 [email protected] 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.
— You are receiving this because you commented.
Reply to this email directly, view it on GitHub https://github.com/bxshi/ProjE/issues/11#issuecomment-482432932, or mute the thread https://github.com/notifications/unsubscribe-auth/ABQQQ5ymnBiQPvkCtJall4XOT98vtukDks5vgAuZgaJpZM4cjGj_ .
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?
It may just take a very long time to finish I guess. I never experienced such a thing before.
/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.