TVM¶
Apache TVM originated in 2017 as a research project at University of Washington and entered the Apache Incubator in 2019. It became the top level project in 2020.
Logo |
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|---|---|
Website |
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Repository |
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Byline |
Open deep learning compiler stack for cpu, gpu and specialized accelerators |
License |
Apache 2.0 |
Project age |
6 years 5 months |
Backers |
Apache (Governed by), OctoML (Commercial Product By), University of Washington (Creator) |
Lastest News (2022-10-17) |
Apache TVM 0.10.0 The TVM community has worked since the v0.9 release to deliver new exciting improvments in Metaschedule, TIR, and … more |
Size score (1 to 10, higher is better) |
7.0 |
Trend score (1 to 10, higher is better) |
7.0 |
Education Resources¶
URL |
Resource Type |
Description |
|---|---|---|
Documentation |
Official project documentation. |
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Blog |
Blog post desccribing the use of the TVM compiler on the Apple M1, beating Apple’s Core ML 4 with 50% model performance improvements. |
Git Commit Statistics¶
Statistics computed using Git data through November 30, 2022.
Statistic |
Lifetime |
Last 12 Months |
|---|---|---|
Commits |
60,032 |
23,069 |
Lines committed |
14,749,607 |
5,265,714 |
Unique committers |
910 |
294 |
Core committers |
24 |
26 |
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