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Heterogeneous Run Time version of TensorFlow. Added heterogeneous capabilities to the TensorFlow, uses heterogeneous computing infrastructure framework to speed up Deep Learning on Arm-based heterogeneous embedded platform. It also retains all the features of the original TensorFlow architecture which users deploy their applications seamlessly.

active 2023-08-282023-11-08 (UTC)

Complete coverage26,735 / 26,735 hourly files (100%) · 2 absent upstream2023-08-152026-09-01 (UTC)
Events
4
Pushes
0
Pull requests
0
Issues
1
Stars
2
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 73 days from 2023-08-28 to 2023-11-08. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 1 total, peak 1 in a day. Comments: 0 total, peak 0 in a day. Stars: 2 total, peak 1 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
TheShortKing691000

Recent activity

Latest issues, pull requests and releases

  • Issue#10TheShortKing692023-10-14 16:45
    AttributeError: module 'tensorflow.python.ops.control_flow_ops' has no attribute 'case'

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 2 stars here means stars gained during the window, not the repo's star count.