What does tf.nn.embedding_lookup function do?

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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.

2973

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).

2973

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

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How to delete a file or folder in Python?

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How do I delete a file or folder in Python?

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Answer #1


Path objects from the Python 3.4+ pathlib module also expose these instance methods:

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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Oliver Galleotti

Paris | 2023-02-04

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Chen Schteiner

Shanghai | 2023-02-04

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Chen Emmerson

New York | 2023-02-04

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