Data Utility for on prem gpu runs
Project description
On Prem GPU SDK
Provides Utitlities to support and build Machine Learning and Analytics scripts to run on navi premise GPU cluster.
Installation
pip3 install onpremgpusdk
Example
import pandas as pd
from onpremgpusdk.data import DataInstance
'''
Create data instance
'''
du = DataInstance("local-stack-bucket") # Instantiate DataInstance with bucket name to use
'''
Upload File
'''
df = pd.read_csv("./stocks.csv")
du.write_csv(df, "output_test/stock_output.csv")
'''
Read Data
'''
du.read_csv("output_test/stock_output.csv")
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
onpremgpusdk-1.0.3.tar.gz
(3.2 kB
view details)
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 onpremgpusdk-1.0.3.tar.gz.
File metadata
- Download URL: onpremgpusdk-1.0.3.tar.gz
- Upload date:
- Size: 3.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
98eb3de7fa7a4234062d59b251725d7c1af5bf30460bbd32156e5f498497384e
|
|
| MD5 |
ae5c7ccd80a5d77d2756632dc69a5bb9
|
|
| BLAKE2b-256 |
94bb47df8fbf75d6a3bea3ebfc2b6a107c8f0c68bf28883b6923b1d9553bbc93
|
File details
Details for the file onpremgpusdk-1.0.3-py3-none-any.whl.
File metadata
- Download URL: onpremgpusdk-1.0.3-py3-none-any.whl
- Upload date:
- Size: 3.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
68745b2052ce2ba9695e59caba5d0831a134acd72ded4e3cd326610267d92b2d
|
|
| MD5 |
f500d87955db33603b32e6bd49d828ea
|
|
| BLAKE2b-256 |
8b5c2b622c489a4507ac1369e9bd27e281bd7df84ae41c6e9878d47a03200486
|