vz-pytorch
Computation graph library for Pytorch models, built with Vizstack.
Usage
This library allows you to produce a computation graph for Pytorch models that use autograd.
- Import the necessary functions:
from vz_pytorch import start, finish. - Begin recording the graph:
start(model). - Execute your model:
model(inputs). - Finish recording:
graph = finish()
The graph object has __view__() defined to produce the computation graph using Vizstack.
Metadata
Release files for vz-pytorch 0.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| vz-pytorch-0.1.3.tar.gz | 6.6 kB | Without provenance | Details for vz-pytorch-0.1.3.tar.gz |
Release files / vz-pytorch-0.1.3.tar.gz
| Download URL | vz-pytorch-0.1.3.tar.gz |
|---|---|
| Size | 6.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
fd59dc0a29299467d13b7f622fb3d5623854c8dc7b4cdeca3ca5dd9202da95ae
|
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BLAKE2b-256 checksum How to use checksums |
a23a56fbf6d49fa02e6d19843de51884efca007c674bc126c25fc213fbb0df0e
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.14.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3
|
Security for vz-pytorch 0.1.3
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