commit | 894c584496514a218caee01729ed1107ba8399af | [log] [tgz] |
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author | dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> | Thu Jul 21 02:59:31 2022 +0000 |
committer | Kevin <pingsutw@apache.org> | Tue Aug 09 04:33:00 2022 +0000 |
tree | c15fbf32b3c9d1428f3ef7365265a9a556ad1bc1 | |
parent | 206efd9f6c2995f52059423ceb1e96e18786e76e [diff] |
Bump terser from 5.12.1 to 5.14.2 in /website Bumps [terser](https://github.com/terser/terser) from 5.12.1 to 5.14.2. <details> <summary>Changelog</summary> <p><em>Sourced from <a href="https://github.com/terser/terser/blob/master/CHANGELOG.md">terser's changelog</a>.</em></p> <blockquote> <h2>v5.14.2</h2> <ul> <li>Security fix for RegExps that should not be evaluated (regexp DDOS)</li> <li>Source maps improvements (<a href="https://github-redirect.dependabot.com/terser/terser/issues/1211">#1211</a>)</li> <li>Performance improvements in long property access evaluation (<a href="https://github-redirect.dependabot.com/terser/terser/issues/1213">#1213</a>)</li> </ul> <h2>v5.14.1</h2> <ul> <li>keep_numbers option added to TypeScript defs (<a href="https://github-redirect.dependabot.com/terser/terser/issues/1208">#1208</a>)</li> <li>Fixed parsing of nested template strings (<a href="https://github-redirect.dependabot.com/terser/terser/issues/1204">#1204</a>)</li> </ul> <h2>v5.14.0</h2> <ul> <li>Switched to <code>jridgewell/source-map</code> for sourcemap generation (<a href="https://github-redirect.dependabot.com/terser/terser/issues/1190">#1190</a>, <a href="https://github-redirect.dependabot.com/terser/terser/issues/1181">#1181</a>)</li> <li>Fixed source maps with non-terminated segments (<a href="https://github-redirect.dependabot.com/terser/terser/issues/1106">#1106</a>)</li> <li>Enabled typescript types to be imported from the package (<a href="https://github-redirect.dependabot.com/terser/terser/issues/1194">#1194</a>)</li> <li>Extra DOM props have been added (<a href="https://github-redirect.dependabot.com/terser/terser/issues/1191">#1191</a>)</li> <li>Delete the AST while generating code, as a means to save RAM</li> </ul> <h2>v5.13.1</h2> <ul> <li>Removed self-assignments (<code>varname=varname</code>) (closes <a href="https://github-redirect.dependabot.com/terser/terser/issues/1081">#1081</a>)</li> <li>Separated inlining code (for inlining things into references, or removing IIFEs)</li> <li>Allow multiple identifiers with the same name in <code>var</code> destructuring (eg <code>var { a, a } = x</code>) (<a href="https://github-redirect.dependabot.com/terser/terser/issues/1176">#1176</a>)</li> </ul> <h2>v5.13.0</h2> <ul> <li>All calls to eval() were removed (<a href="https://github-redirect.dependabot.com/terser/terser/issues/1171">#1171</a>, <a href="https://github-redirect.dependabot.com/terser/terser/issues/1184">#1184</a>)</li> <li><code>source-map</code> was updated to 0.8.0-beta.0 (<a href="https://github-redirect.dependabot.com/terser/terser/issues/1164">#1164</a>)</li> <li>NavigatorUAData was added to domprops to avoid property mangling (<a href="https://github-redirect.dependabot.com/terser/terser/issues/1166">#1166</a>)</li> </ul> </blockquote> </details> <details> <summary>Commits</summary> <ul> <li>See full diff in <a href="https://github.com/terser/terser/commits">compare view</a></li> </ul> </details> <br /> [![Dependabot compatibility score](https://dependabot-badges.githubapp.com/badges/compatibility_score?dependency-name=terser&package-manager=npm_and_yarn&previous-version=5.12.1&new-version=5.14.2)](https://docs.github.com/en/github/managing-security-vulnerabilities/about-dependabot-security-updates#about-compatibility-scores) Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. 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You can achieve the same result by closing it manually - `dependabot ignore this major version` will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself) - `dependabot ignore this minor version` will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself) - `dependabot ignore this dependency` will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself) - `dependabot use these labels` will set the current labels as the default for future PRs for this repo and language - `dependabot use these reviewers` will set the current reviewers as the default for future PRs for this repo and language - `dependabot use these assignees` will set the current assignees as the default for future PRs for this repo and language - `dependabot use this milestone` will set the current milestone as the default for future PRs for this repo and language You can disable automated security fix PRs for this repo from the [Security Alerts page](https://github.com/apache/submarine/network/alerts). </details> Author: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Signed-off-by: Kevin <pingsutw@apache.org> Closes #981 from dependabot[bot]/dependabot/npm_and_yarn/website/terser-5.14.2 and squashes the following commits: c2e80348 [dependabot[bot]] Bump terser from 5.12.1 to 5.14.2 in /website
Apache Submarine (Submarine for short) is an End-to-End Machine Learning Platform to allow data scientists to create end-to-end machine learning workflows. On Submarine, data scientists can finish each stage in the ML model lifecycle, including data exploration, data pipeline creation, model training, serving, and monitoring.
Some open-source and commercial projects are trying to build an end-to-end ML platform. What's the vision of Submarine?
Theodore Levitt once said:
“People don’t want to buy a quarter-inch drill. They want a quarter-inch hole.”
experiment
on prem or cloud via easy-to-use UI/API/SDK.experiment
and dependencies of environment
.As mentioned above, Submarine attempts to provide Data-Scientist-friendly UI to make data scientists have a good user experience. Here're some examples.
# New a submarine client of the submarine server submarine_client = submarine.ExperimentClient(host='http://localhost:8080') # The experiment's environment, could be Docker image or Conda environment based environment = EnvironmentSpec(image='apache/submarine:tf-dist-mnist-test-1.0') # Specify the experiment's name, framework it's using, namespace it will run in, # the entry point. It can also accept environment variables. etc. # For PyTorch job, the framework should be 'Pytorch'. experiment_meta = ExperimentMeta(name='mnist-dist', namespace='default', framework='Tensorflow', cmd='python /var/tf_dist_mnist/dist_mnist.py --train_steps=100') # 1 PS task of 2 cpu, 1GB ps_spec = ExperimentTaskSpec(resources='cpu=2,memory=1024M', replicas=1) # 1 Worker task worker_spec = ExperimentTaskSpec(resources='cpu=2,memory=1024M', replicas=1) # Wrap up the meta, environment and task specs into an experiment. # For PyTorch job, the specs would be "Master" and "Worker". experiment_spec = ExperimentSpec(meta=experiment_meta, environment=environment, spec={'Ps':ps_spec, 'Worker': worker_spec}) # Submit the experiment to submarine server experiment = submarine_client.create_experiment(experiment_spec=experiment_spec) # Get the experiment ID id = experiment['experimentId']
submarine_client.get_experiment(id)
submarine_client.wait_for_finish(id)
submarine_client.get_log(id)
submarine_client.list_experiments(status='running')
For a quick-start, see Submarine On K8s
(Available on 0.5.0, see Roadmap)
If you want to know more about Submarine's architecture, components, requirements and design doc, they can be found on Architecture-and-requirement
Detailed design documentation, implementation notes can be found at: Implementation notes
Read the Apache Submarine Community Guide
How to contribute Contributing Guide
Login Submarine slack channel: https://join.slack.com/t/asf-submarine/shared_invite
Issue Tracking: https://issues.apache.org/jira/projects/SUBMARINE
What to know more about what's coming for Submarine? Please check the roadmap out: https://cwiki.apache.org/confluence/display/SUBMARINE/Roadmap
From here, you can know the changelog and the issue tracker of different version of Apache Submarine.
Apache submarine: a unified machine learning platform made simple at EuroMLSys '22
The Apache Submarine project is licensed under the Apache 2.0 License. See the LICENSE file for details.