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tf.nn.embedding_lookup(params, ids, partition_strategy="mod", name=None)
I cannot understand the duty of this function. Is it like a lookup table? Which means to return the parameters corresponding to each id (in ids)?
For instance, in the skip-gram
model if we use tf.nn.embedding_lookup(embeddings, train_inputs)
, then for each train_input
it finds the correspond embedding?
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What does tf.nn.embedding_lookup function do? __del__: Questions
How can I make a time delay in Python?
5 answers
I would like to know how to put a time delay in a Python script.
Answer #1
import time
time.sleep(5) # Delays for 5 seconds. You can also use a float value.
Here is another example where something is run approximately once a minute:
import time
while True:
print("This prints once a minute.")
time.sleep(60) # Delay for 1 minute (60 seconds).
Answer #2
You can use the sleep()
function in the time
module. It can take a float argument for sub-second resolution.
from time import sleep
sleep(0.1) # Time in seconds
What does tf.nn.embedding_lookup function do? __del__: Questions
How to delete a file or folder in Python?
5 answers
How do I delete a file or folder in Python?
Answer #1
os.remove()
removes a file.os.rmdir()
removes an empty directory.shutil.rmtree()
deletes a directory and all its contents.
Path
objects from the Python 3.4+ pathlib
module also expose these instance methods:
pathlib.Path.unlink()
removes a file or symbolic link.pathlib.Path.rmdir()
removes an empty directory.
We hope this article has helped you to resolve the problem. Apart from What does tf.nn.embedding_lookup function do?, check other __del__-related topics.
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Paris | 2023-02-04
I was preparing for my coding interview, thanks for clarifying this - What does tf.nn.embedding_lookup function do? in Python is not the simplest one. Will use it in my bachelor thesis
Shanghai | 2023-02-04
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New York | 2023-02-04
I was preparing for my coding interview, thanks for clarifying this - What does tf.nn.embedding_lookup function do? in Python is not the simplest one. Will get back tomorrow with feedback