teaching

by cdanielmachado Jupyter Notebook Version: Current License: No License

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

kandi X-RAY | teaching Summary

teaching is a Jupyter Notebook library. teaching has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

teaching

Support

Quality

Security

License

Reuse

Support

teaching has a low active ecosystem.

It has 6 star(s) with 1 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

teaching has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of teaching is current.

Quality

teaching has no bugs reported.

Security

teaching has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

teaching does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

Installation instructions, examples and code snippets are available.

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teaching Key Features

No Key Features are available at this moment for teaching.

teaching Examples and Code Snippets

Recursively reduce all input tensors .

python

Lines of Code : 52

License : Non-SPDX (Apache License 2.0)

Copy

def build_recursive_hd_all_reduce(input_tensors, red_op, un_op=None):
  """Construct a subgraph for recursive halving-doubling all-reduce.

  The recursive halving-doubling algorithm is described in
  (Thakur et al., 2015).

  The concept is to arran

Run command .

python

Lines of Code : 2

License : Permissive (MIT License)

Copy

def _run_cmd(cmd, cwd=None):
    check_call(cmd.split(), cwd=cwd)

Community Discussions

No Community Discussions are available at this moment for teaching.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install teaching

To run these tutorials you need a Python 3.6 environment. If you don't have one already, you can install miniconda. Then you need to install ReFramed and a few other packages. Please note that this will install the free version of CPLEX, which is limited to the simulation of small models. To install the full version you should obtain an academic license.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: