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facebookresearch
TensorComprehensions
C++2018–2018
facebookresearch / TensorComprehensions · Archived

TensorComprehensions

A domain specific language to express machine learning workloads.

AI & Machine LearningLearning & Reference
Explore on GitHubRead Hacker News discussions
2Distinct people
2Mentions
0Explicit recommenders
1.8KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

A domain specific language to express machine learning workloads.

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:03:16 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by day2 dated mentions

Observed mentions: 2018-02-22 06:14:45 UTC to 2018-03-19 16:35:53 UTC.

012018-02-22 00:00:00 UTC to 2018-02-23 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsFeb 222018-02-23 00:00:00 UTC to 2018-02-24 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-02-24 00:00:00 UTC to 2018-02-25 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-02-25 00:00:00 UTC to 2018-02-26 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-02-26 00:00:00 UTC to 2018-02-27 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-02-27 00:00:00 UTC to 2018-02-28 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-02-28 00:00:00 UTC to 2018-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-03-01 00:00:00 UTC to 2018-03-02 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-03-02 00:00:00 UTC to 2018-03-03 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-03-03 00:00:00 UTC to 2018-03-04 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-03-04 00:00:00 UTC to 2018-03-05 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-03-05 00:00:00 UTC to 2018-03-06 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-03-06 00:00:00 UTC to 2018-03-07 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsMar 62018-03-07 00:00:00 UTC to 2018-03-08 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-03-08 00:00:00 UTC to 2018-03-09 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-03-09 00:00:00 UTC to 2018-03-10 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-03-10 00:00:00 UTC to 2018-03-11 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-03-11 00:00:00 UTC to 2018-03-12 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-03-12 00:00:00 UTC to 2018-03-13 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-03-13 00:00:00 UTC to 2018-03-14 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-03-14 00:00:00 UTC to 2018-03-15 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-03-15 00:00:00 UTC to 2018-03-16 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-03-16 00:00:00 UTC to 2018-03-17 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-03-17 00:00:00 UTC to 2018-03-18 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-03-18 00:00:00 UTC to 2018-03-19 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-03-19 00:00:00 UTC to 2018-03-20 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsMar 19

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Feb 222018-02-22 00:00:00 UTC2018-02-23 00:00:00 UTC101
Feb 232018-02-23 00:00:00 UTC2018-02-24 00:00:00 UTC000
Feb 242018-02-24 00:00:00 UTC2018-02-25 00:00:00 UTC000
Feb 252018-02-25 00:00:00 UTC2018-02-26 00:00:00 UTC000
Feb 262018-02-26 00:00:00 UTC2018-02-27 00:00:00 UTC000
Feb 272018-02-27 00:00:00 UTC2018-02-28 00:00:00 UTC000
Feb 282018-02-28 00:00:00 UTC2018-03-01 00:00:00 UTC000
Mar 12018-03-01 00:00:00 UTC2018-03-02 00:00:00 UTC000
Mar 22018-03-02 00:00:00 UTC2018-03-03 00:00:00 UTC000
Mar 32018-03-03 00:00:00 UTC2018-03-04 00:00:00 UTC000
Mar 42018-03-04 00:00:00 UTC2018-03-05 00:00:00 UTC000
Mar 52018-03-05 00:00:00 UTC2018-03-06 00:00:00 UTC000
Mar 62018-03-06 00:00:00 UTC2018-03-07 00:00:00 UTC000
Mar 72018-03-07 00:00:00 UTC2018-03-08 00:00:00 UTC000
Mar 82018-03-08 00:00:00 UTC2018-03-09 00:00:00 UTC000
Mar 92018-03-09 00:00:00 UTC2018-03-10 00:00:00 UTC000
Mar 102018-03-10 00:00:00 UTC2018-03-11 00:00:00 UTC000
Mar 112018-03-11 00:00:00 UTC2018-03-12 00:00:00 UTC000
Mar 122018-03-12 00:00:00 UTC2018-03-13 00:00:00 UTC000
Mar 132018-03-13 00:00:00 UTC2018-03-14 00:00:00 UTC000
Mar 142018-03-14 00:00:00 UTC2018-03-15 00:00:00 UTC000
Mar 152018-03-15 00:00:00 UTC2018-03-16 00:00:00 UTC000
Mar 162018-03-16 00:00:00 UTC2018-03-17 00:00:00 UTC000
Mar 172018-03-17 00:00:00 UTC2018-03-18 00:00:00 UTC000
Mar 182018-03-18 00:00:00 UTC2018-03-19 00:00:00 UTC000
Mar 192018-03-19 00:00:00 UTC2018-03-20 00:00:00 UTC110

What Hacker News says

2 sources
wcrichton·Feb 22, 2018
Current tally of high-performance, deep-learning-oriented DSLs/IRs/compilers, in no particular order: - TensorComprehensions (Facebook): https://github.com/facebookresearch/TensorComprehensions - XLA (Google): https://www.tensorflow.org/performance/xla/ - taco (MIT): http://tensor-compiler.org/ - DLVM (UIUC): http://dlvm.org/ - nGraph (Intel): http://ngraph.nervanasys.com/docs/cpp/ - TVM (DMLC): https://github.com/dmlc/tvm Honorable mention to Julia (http://julialang.org) as well.
In DLVM: A modern compiler framework for neural network DSLs

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