Multiprecision type extension for taichi
Project description
taichi-bigfloat
This is a module which makes arbitrary precision GPU accelerated computations possible using Taichi. It has 2 main functionalities: the supports_bigfloat decorator, and the make_float_t function which dynamically creates the high precision float module for the required precision with all the attached functions. This is a generalization of the float192 module for arbitrary sized float types. It only contains the most basic mathematical function everything else has to be implemenented from scratch.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file taichi_big_float-0.1.0.tar.gz.
File metadata
- Download URL: taichi_big_float-0.1.0.tar.gz
- Upload date:
- Size: 9.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
50f287e9a545df86955b9f9bf3ee7e375fc3b73a75fd5f0edb6c388e3f89d378
|
|
| MD5 |
d54ec556eae4477c66e75396c7a094c4
|
|
| BLAKE2b-256 |
b8d19e33c599295eb9135f10a86689acde85fb31a4993de05abbce22e78ed1b7
|
File details
Details for the file taichi_big_float-0.1.0-py3-none-any.whl.
File metadata
- Download URL: taichi_big_float-0.1.0-py3-none-any.whl
- Upload date:
- Size: 10.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
5f2ef8d1116ef2da0ef68cadada49d213623d91afc0ba7b5266e9c0622ecfffa
|
|
| MD5 |
3ee9ca55a5d47ac60f391c8022ef4c86
|
|
| BLAKE2b-256 |
5e5d23e1c5ddaf55df70085493202b6d2bcae4be14606404d6f67fd693436eb7
|