Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Set means to zero in online covariance GPU if assume_centered=True #2850

Merged

Conversation

olegkkruglov
Copy link
Contributor

@olegkkruglov olegkkruglov commented Jul 17, 2024

Description

  • Set means to zero in online covariance GPU if assume_centered=True to align with all other covariance versions.
  • Refactor tests for all covariance versions to run tests with all parameters combinations

@olegkkruglov
Copy link
Contributor Author

/intelci: run

@olegkkruglov
Copy link
Contributor Author

/intelci: run


const te::dataframe input =
GENERATE_DATAFRAME(te::dataframe_builder{ 500, 40 }.fill_uniform(-100, 100, 7777),
te::dataframe_builder{ 1000, 20 }.fill_uniform(-30, 30, 7777),
te::dataframe_builder{ 10000, 100 }.fill_uniform(-30, 30, 7777),
te::dataframe_builder{ 100000, 20 }.fill_uniform(1, 10, 7777));

INFO("num_rows=" << input.get_row_count());
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

is it still necessary?

Copy link
Contributor Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

do you mean the print? it allows to easier understand which dataset size failed in case of failure.

@olegkkruglov
Copy link
Contributor Author

/intelci: run

@olegkkruglov
Copy link
Contributor Author

@olegkkruglov olegkkruglov merged commit 651fcaf into oneapi-src:main Aug 28, 2024
16 of 17 checks passed
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

Successfully merging this pull request may close these issues.

None yet

2 participants