ATorch supports efficient and easy-to-use model training experience. ATorch provides performance optimizations in aspects such as I/O, preprocessing, computation, and communication (including automatic optimization), and has supported large-scale pretraining and finetuning of LLMs with over 100 billion parameters and thousands of advanced GPUs.
Metadata
Release files for atorch 0.2.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| atorch-0.2.5-py3-none-any.whl | Python 3 | none | any | Details |
Release files / atorch-0.2.5-py3-none-any.whl
| Download URL | atorch-0.2.5-py3-none-any.whl |
|---|---|
| Size | 899.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
0e59f562245b5646f690aa4ac307ca9043ea34e5c08043e0563897a75e06a628
|
|
BLAKE2b-256 checksum How to use checksums |
061d52cf365a33705be36935540511c879085bef3031ba7301976a8f500eb31c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.8.19
|