Update example #1404
Closed
Update example #1404
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
How much memory? All the examples can run well with tensorflow backend without memory issues. |
|
if the number of functions is about 1000, 4GB memory is not enough for pytorch. |
|
4GB memory is small. Use the original number. |
lululxvi
reviewed
Jul 25, 2023
| return tf.concat( | ||
| [tf.math.cos(x), tf.math.sin(x), tf.math.cos(2 * x), tf.math.sin(2 * x), t], 1 | ||
| x = 2 * np.pi * x | ||
| return bkd.concat( |
There was a problem hiding this comment.
Don't use bkd. See other examples how to handle different backends.
There was a problem hiding this comment.
May I ask why you don't recommend using bkd? I saw other examples using if to switch the cases, but the codes are so redundant.
There was a problem hiding this comment.
bkd is only designed for internal use.
supercgor
force-pushed
the
testing_example
branch
from
598f689
to
ac9c483
Compare
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
For some example, reduce the training function and testing function because it used up lots of memories.