fused modules of EPRI(SGRI) visual models
Project description
USAGE
from torch import nn
from spexmlp.eswiglu import load_license,sFusedSwiglu
load_license(path="mylicense.dat",device="cuda:0")
model=sFusedSwiglu(1280,1280*3,1024)
x=torch.zeros((256,1280),dtype=torch.float16,device='cuda:0')
dy=torch.randn((256,1024),dtype=torch.float16,device='cuda:0')
y=model(x)
y.backward(dy)
print(x.grad)
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 Distributions
Built Distributions
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 spexmlp-2.0.1.post23-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.
File metadata
- Download URL: spexmlp-2.0.1.post23-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 53.1 MB
- Tags: CPython 3.11, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.10.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ba221e73e98ce0eb441c2fa70e99ef3af19f5d2d2aafb12b602c27b42876e402
|
|
| MD5 |
07e239a485977235dec5e102ac553679
|
|
| BLAKE2b-256 |
dded8cd0aa0e06c69c107eb505c0e76caa8193b6f1c706e88ef662c8c7f43d85
|
File details
Details for the file spexmlp-2.0.1.post23-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.
File metadata
- Download URL: spexmlp-2.0.1.post23-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 53.1 MB
- Tags: CPython 3.10, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.10.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a5709019e2c110033cc139f300ec7dc75b9b791939e65f33c89ab70012d74a2b
|
|
| MD5 |
5a946af53bcc98dcc3478df463f92f84
|
|
| BLAKE2b-256 |
a2bd3c00cb14b825ed3561320ced4e45e2a7db424abe66f4d9fe4e8ab07b2744
|
File details
Details for the file spexmlp-2.0.1.post23-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.
File metadata
- Download URL: spexmlp-2.0.1.post23-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 53.1 MB
- Tags: CPython 3.9, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.10.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
cf4511fb2d2bf77adef174b78f58bc8bbb3b01d7901786277459038aa771c486
|
|
| MD5 |
471044064727243631eae3f704782399
|
|
| BLAKE2b-256 |
ac7adfb759890c3e7568c51bd71d8217f6d63d97f71f6995f43816cb134d7f8a
|
File details
Details for the file spexmlp-2.0.1.post23-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.
File metadata
- Download URL: spexmlp-2.0.1.post23-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 53.1 MB
- Tags: CPython 3.8, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.10.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
cb4c689029a10416d0c52d15b9f62dcf1de17a2dc79298fa949c3009688d330a
|
|
| MD5 |
8762aa00070c4a3e0029aa287145076f
|
|
| BLAKE2b-256 |
74f49799379fed26910647a34dd01f43212a53f3016e4fdc8d1754459b2d24e4
|
