Registry / devops / sagemaker-containers

sagemaker-containers

library2.8.6.post2pypypi✓ verified 89d ago

Open source library for creating containers to run on Amazon SageMaker. Version 2.8.6.post2. This library is deprecated and no longer actively maintained; users should migrate to the SageMaker Training Toolkit and Inference Toolkit.

devops aws

pip install sagemaker-containers

github ↗package ↗homepage ↗

INSTALL

IMPORT

SIG · SAGEMAKER-CONTAINE

sagemaker-containers

devopspythonv2.8.6.post2

Install

—

Import

—

Disk

—

Pass rate

0/ 10

Env Coverage0 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v? · pip install

Install × environment matrix

Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux

musl

py 3.10–3.95 runs

build_error

glibc

py 3.10–3.95 runs

build_error

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

sagemaker_containers

✓ import sagemaker_containers

Standard import path.

Module

✓ from sagemaker_containers import _modules

✗ import sagemaker_containers._modules

Private module, but commonly accessed via underscore prefix.

Initialize a SageMaker container environment and print the current host.

import sagemaker_containers # Example: create a training environment from sagemaker_containers.beta import framework env = framework.training_env() print(env.current_host, env.hosts) # Note: This library is deprecated. Prefer sagemaker-training-toolkit for training containers.

Debug

Known issues

deprecatedThis library is deprecated. Use sagemaker-training-toolkit or sagemaker-inference-toolkit instead.

fix

Replace imports: 'sagemaker_containers' -> 'sagemaker_training' for training, or 'sagemaker_inference' for inference.

affects: >=2.8.6.post0

gotchaThe beta subpackage (sagemaker_containers.beta) is not stable and may change.

fix

Avoid relying on beta subpackages; use the stable sagemaker_training toolkit.

affects: all

gotchaPython 2 support was dropped in later versions. Version 2.8.2 mentioned creating __init__ for Python 2 protobuf import, but newer releases do not support Python 2.

fix

Use Python 3.6+ for versions after 2.8.2.

affects: >2.8.2

Errors

Common errors & fixes

ModuleNotFoundError: No module named 'sagemaker_containers'

Package not installed or environment misconfigured (e.g., running outside SageMaker).

fix

Run 'pip install sagemaker-containers' inside the container.

AttributeError: module 'sagemaker_containers' has no attribute 'beta'

The beta subpackage was removed or renamed in newer releases of the replacement toolkit.

fix

Use 'from sagemaker_training import environment' instead.

ImportError: cannot import name 'training_env' from 'sagemaker_containers.beta.framework'

Typo or incorrect subpackage path.

fix

Correct import: 'from sagemaker_containers.beta import framework' then use 'framework.training_env()'.

Upgrade

Version history

2.8.6.post2latest on PyPI · released Jun 22, 2020

Audit

Dependencies

No dependency data recorded yet.

Agent activity

25 hits · last 30 days

node

Resources

githubhttps://github.com/aws/sagemaker-containers ↗

packagehttps://pypi.org/project/sagemaker-containers/ ↗

homepagehttps://aws.amazon.com/sagemaker/ ↗