smdebug

v1.0.34

Amazon SageMaker Debugger is an offering from AWS which helps you automate the debugging of machine learning training jobs. For more information about how to use this package see README

Latest version published 6 months ago

License: Apache-2.0

PyPI

GitHub

Package Health Score

70 / 100

security
Security review needed
popularity
Recognized
maintenance
Sustainable
community
Active

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Popularity

Recognized

GitHub Stars: 157
Forks: 82
Contributors: 40

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package smdebug, we found that it has been starred 157 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Oct 23, 2023
Direct Vulnerabilities: 0
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0
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0
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0
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Indirect Vulnerabilities: 0
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0
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0
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License Risk: 0
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0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

Apache-2.0

Security Policy

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Maintenance

Sustainable

Commit Frequency

Open Issues: 59
Open PR: 28
Last Release: 6 months ago
Last Commit: 6 months ago

Further analysis of the maintenance status of smdebug based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Sustainable.

We found that smdebug demonstrates a positive version release cadence with at least one new version released in the past 12 months.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: Yes
Contributors: 40
Funding: No

With more than 10 contributors for the smdebug repository, this is possibly a sign for a growing and inviting community.

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Package

Python Versions Compatibility: >=3.6

Age: 4 years
Latest Release: 6 months ago
Dependencies: 5 Direct / 12 Total
Versions: 297
Maintainers: 1
Wheels: OS Independent

Not sure how to use smdebug?

To help you get started, we've collected the most common ways that smdebug is being used within popular public projects.

awslabs / sagemaker-debugger / tests / core / test_modes.py View on Github

def test_mode_writing():
    run_id = "trial_" + datetime.now().strftime("%Y%m%d-%H%M%S%f")
    worker = socket.gethostname()
    for s in range(0, 10):
        fw = FileWriter(trial_dir="/tmp/ts_outputs/" + run_id, step=s, worker=worker)
        if s % 2 == 0:
            fw.write_tensor(
                tdata=np.array([[1.0, 2.0], [3.0, 4.0]], dtype=np.float32),
                tname="arr",
                mode=ModeKeys.TRAIN,
                mode_step=s // 2,
            )
        else:
            fw.write_tensor(
                tdata=np.array([[1.0, 2.0], [3.0, 4.0]], dtype=np.float32),
                tname="arr",
                mode=ModeKeys.EVAL,
                mode_step=s // 2,
            )
        fw.close()
    write_dummy_collection_file("/tmp/ts_outputs/" + run_id)
    files = glob.glob("/tmp/ts_outputs/" + run_id + "/**/*.tfevents", recursive=True)

    global_steps = []
    train_steps = []
    eval_steps = []

View more ways to use smdebug

smdebug dependencies

boto3 numpy packaging protobuf pyinstrument

FAQs

What is smdebug?

Amazon SageMaker Debugger is an offering from AWS which helps you automate the debugging of machine learning training j... Visit Snyk Advisor to see a full health score report for smdebug, including popularity, security, maintenance & community analysis.

Is smdebug popular?

The python package smdebug receives a total of 23,962 weekly downloads. As such, smdebug popularity was classified as a recognized. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is smdebug well maintained?

We found indications that smdebug maintenance is sustainable demonstrating some project activity. We saw a total of 40 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is smdebug safe to use?

While scanning the latest version of smdebug, we found that a security review is needed. A total of 0 vulnerabilities or license issues were detected. See the full security scan results.

Last updated on 18 April-2024, at 05:57 (UTC).

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