Thank you for writing this, Anand! I think this is a good way to leverage
existing libraries and also a good usability improvement.
On Wed, May 10, 2023 at 11:04 AM XQ Hu via dev wrote:
> Agree with Danny. Thanks for writing this!
>
> On Wed, May 10, 2023 at 10:35 AM Danny McCormick via dev <
>
Hey everyone,
Right now, using RunInference with large models and on GPUs has several
performance gaps. I put together a document focusing on one: when running
inference with large models, we often OOM because we load several copies of
the model at once. My document explores using the multi_proces
On Mon, May 15, 2023 at 8:38 AM Moritz Mack wrote:
>
> Hi all,
>
> I was just looking into an old issue again, SerializablePipelineOptions
> calling FileSystems.setDefaultPipelineOptions on deserialization [1]. This
> applies to various runners including Flink and Spark, but not Dataflow as far
The Apache Beam Team is pleased to announce the release of version 2.47.0.
You can download the release here:
https://beam.apache.org/get-started/downloads/
This release includes bug fixes, features, and improvements detailed on the
Beam Blog: https://beam.apache.org/blog/beam-2.47.0/ and the Gi
Hi all,
I was just looking into an old issue again, SerializablePipelineOptions calling
FileSystems.setDefaultPipelineOptions on deserialization [1]. This applies to
various runners including Flink and Spark, but not Dataflow as far as I know.
Problem:
Current initialization of FileSystems thr
This is your daily summary of Beam's current high priority issues that may need
attention.
See https://beam.apache.org/contribute/issue-priorities for the meaning and
expectations around issue priorities.
Unassigned P1 Issues:
https://github.com/apache/beam/issues/26621 [Failing Test]:
be
