AWS Neuron plugins for viztracer
Project description
VizNeuron
VizTracer plugins for AWS Neuron. It is inspired by the official VizTracer plugings: vizplugins.
Features
VizNeuron currently only supports memory usage tracing via Neuron Sysfs Filesystem.
Install
The preferred way to install VizNeuron is via pip:
git clone git@github.com:clumsy/vizneuron.git && cd vizneuron
pip install -e .
Basic Usage
VizNeuron should be used with VizTracer.
You can use VizNeuron and the plugin via command line:
viztracer --plugin vizneuron.memory_usage -- my_script.py arg1 arg2
Or equivalent syntax:
viztracer --plugin "vizneuron --memory_usage" -- my_script.py arg1 arg2
You can also add the plugin to VizTracer programmatically as described in the official documentation.
Finally, VizNeuron provides a PyTorch Lightning Callback that can be used as part of model training.
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 vizneuron-0.0.1.tar.gz.
File metadata
- Download URL: vizneuron-0.0.1.tar.gz
- Upload date:
- Size: 9.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
75931efba950df42bcf942149feb808e3b793bde406a151b371ae851e0269c62
|
|
| MD5 |
936264cf3cd1cf2e601dcc26003fa0c2
|
|
| BLAKE2b-256 |
aa063c3d7823078a22dab8ab92adcb11d20035464a92188a14d4408297e286b6
|
File details
Details for the file vizneuron-0.0.1-py3-none-any.whl.
File metadata
- Download URL: vizneuron-0.0.1-py3-none-any.whl
- Upload date:
- Size: 9.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e5ecbd61400fa61a1ca02f2d316a2b16088f64f57fee14d60059f75166066a07
|
|
| MD5 |
d9814e4a3e2bdcd4ef636f70e7bbdd55
|
|
| BLAKE2b-256 |
3ab7b62ed36c7302733cfef76c3600a771dbdbe1431bafd232e4fbd5365e7d7a
|