issue_comments

Table actions

2 rows where author_association = "MEMBER", issue = 316618290 and user = 306380 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: created_at (date), updated_at (date)

user 1

  • mrocklin · 2 ✖

issue 1

  • xarray.dot() dask problems · 2 ✖

author_association 1

  • MEMBER · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
383817119 https://github.com/pydata/xarray/issues/2074#issuecomment-383817119 https://api.github.com/repos/pydata/xarray/issues/2074 MDEyOklzc3VlQ29tbWVudDM4MzgxNzExOQ== mrocklin 306380 2018-04-24T06:22:39Z 2018-04-24T06:22:39Z MEMBER

When doing benchmarks with things that might call BLAS operations in multiple threads I recommend setting the OMP_NUM_THREADS environment variable to 1. This will avoid oversubscription.

On Mon, Apr 23, 2018 at 7:32 PM, Keisuke Fujii notifications@github.com wrote:

@crusaderky https://github.com/crusaderky , Thanks for the detailed benchmarking. Further note:

  • xr.dot uses tensordot if possible, as when I implemented dask did not have einsum. In the other cases, we use dask.atop with np.einsum.

In your example, bench(100, False, ['t'], '...i,...i') uses dask.tensordot , bench(100, True, ['t'], '...i,...i') uses np.einsum.

bench(100, True, [], ...i,...i->...i) also uses np.einsum. But I have no idea yet why dot(a, b, dims=[]) is faster than a * b.

— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/pydata/xarray/issues/2074#issuecomment-383754980, or mute the thread https://github.com/notifications/unsubscribe-auth/AASszD_CL-zC6QgDunKQVaIGCiQA7u5Jks5trmSUgaJpZM4TfDSk . 

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   xarray.dot() dask problems 316618290
383651390 https://github.com/pydata/xarray/issues/2074#issuecomment-383651390 https://api.github.com/repos/pydata/xarray/issues/2074 MDEyOklzc3VlQ29tbWVudDM4MzY1MTM5MA== mrocklin 306380 2018-04-23T17:12:04Z 2018-04-23T17:12:04Z MEMBER 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   xarray.dot() dask problems 316618290

Advanced export

JSON shape: default, array, newline-delimited, object

CSV options: 

CREATE TABLE [issue_comments] (
   [html_url] TEXT,
   [issue_url] TEXT,
   [id] INTEGER PRIMARY KEY,
   [node_id] TEXT,
   [user] INTEGER REFERENCES [users]([id]),
   [created_at] TEXT,
   [updated_at] TEXT,
   [author_association] TEXT,
   [body] TEXT,
   [reactions] TEXT,
   [performed_via_github_app] TEXT,
   [issue] INTEGER REFERENCES [issues]([id])
);
CREATE INDEX [idx_issue_comments_issue]
    ON [issue_comments] ([issue]);
CREATE INDEX [idx_issue_comments_user]
    ON [issue_comments] ([user]);