container.training | Slides code samples for training tutorials | Continuous Deployment library

by jpetazzo Shell Version: 2017-10-30-lisa License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | container.training Summary

container.training is a Shell library typically used in Devops, Continuous Deployment, Docker applications. container.training has no bugs, it has no vulnerabilities and it has medium support. However container.training has a Non-SPDX License. You can download it from GitHub.

Slides and code samples for training, tutorials, and workshops about Docker, containers, and Kubernetes.

Support

Quality

Security

License

Reuse

Support

container.training has a medium active ecosystem.

It has 3335 star(s) with 1520 fork(s). There are 129 watchers for this library.

It had no major release in the last 6 months.

There are 11 open issues and 76 have been closed. On average issues are closed in 137 days. There are 5 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of container.training is 2017-10-30-lisa

Quality

container.training has 0 bugs and 0 code smells.

Security

container.training has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

container.training code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

container.training has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

container.training releases are not available. You will need to build from source code and install.

It has 2599 lines of code, 65 functions and 68 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of container.training

Get all kandi verified functions for this library.

container.training Key Features

No Key Features are available at this moment for container.training.

container.training Examples and Code Snippets

No Code Snippets are available at this moment for container.training.

Community Discussions

Trending Discussions on container.training

Aws Sagemaker - ModuleNotFoundError: No module named 'cv2'

Sagemaker with tensorflow 2 not saving model

QUESTION

Aws Sagemaker - ModuleNotFoundError: No module named 'cv2'

Asked 2021-Apr-14 at 14:21

I am trying to run a object detection code in Aws. Although opencv is listed in the requirement file, i have the error "no module named cv2". I am not sure how to fix this error. could someone help me please.

My requirement.txt file has

opencv-python
numpy>=1.18.2
scipy>=1.4.1
wget>=3.2
tensorflow==2.3.1
tensorflow-gpu==2.3.1
tqdm==4.43.0
pandas
boto3
awscli
urllib3
mss

I tried installing "imgaug" and "opencv-python headless" as well.. but still not able to get rid of this error.

...

ANSWER

Answered 2021-Apr-14 at 14:21

Make sure your estimator has

framework_version = '2.3',
py_version = 'py37',

Source https://stackoverflow.com/questions/67093041

QUESTION

Sagemaker with tensorflow 2 not saving model

Asked 2020-Feb-14 at 23:54

I am working with Keras and I am trying to train a model using Sagemaker. I have the following issue: When I train my model using TensorFlow 1.12 everything works fine:

...

ANSWER

Answered 2020-Feb-14 at 23:54

you're correct, there has been a major, beneficial change last year in the SageMaker TensorFlow experience named the Script Mode formalism. As you can see in the SDK Documentation:

"Warning. We have added a new format of your TensorFlow training script with TensorFlow version 1.11. This new way gives the user script more flexibility. This new format is called Script Mode, as opposed to Legacy Mode, which is what we support with TensorFlow 1.11 and older versions. In addition we are adding Python 3 support with Script Mode. The last supported version of Legacy Mode will be TensorFlow 1.12. Script Mode is available with TensorFlow version 1.11 and newer. Make sure you refer to the correct version of this README when you prepare your script. You can find the Legacy Mode README here."

with TensorFlow 2, you need to follow that Script Mode formalism and save your model in the opt/ml/model path, otherwise nothing will be sent to S3. Script Mode is quite straightforward to implement and gives better flexibility and portability, and this spec is shared with SageMaker Sklearn container, SageMaker Pytorch container and SageMaker MXNet container so definitely worth adopting

Source https://stackoverflow.com/questions/60190365

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install container.training

You can download it from GitHub.

Support

If there is a bug and you can fix it: submit a PR. Make sure that I know who you are so that I can thank you (because you're the real MVP!). If there is a bug and you can't fix it, but you can reproduce it: submit an issue explaining how to reproduce. If there is a bug and you can't even reproduce it: sorry. It is probably an Heisenbug. We can't act on it until it's reproducible, alas.

Find more information at: