Skip to main content

Run Torch With A Simple Miner

Project description

This Project is Forked From MineTorch.

Published on pypi

Packaged Using Poetry

Description

TorchMiner is designed to automatic process the training ,evaluating and testing process for PyTorch DeepLearning,with a simple API.

You can access all Functions of MineTorch simply use Miner.

Project ToDo

[!] compatible with paddlepaddle

[!!!] Test Cases

[!] Add A thread to accept CLI input when training

[!] Abstract Miner process, for easier patches

[] Abstract Plugin Manager

[] Move Drawer Operations Outside of Miner as a Plugin

[] A Plugin that can record every output of network for future analysis

[] Add Plugin Able And Disable Stat

[] Move Miner Options to yaml File, Add Config Class

Now Plugins only supports output functions, they can't modify or change the data of the Miner class.Any Ideas? I am glad to know.

[] Write about my design concept

Critical

[] Deal About the input size problem, such as Batch-first...

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

TorchMiner-0.4.1.tar.gz (26.2 kB view details)

Uploaded Source

Built Distribution

TorchMiner-0.4.1-py3-none-any.whl (22.5 kB view details)

Uploaded Python 3

File details

Details for the file TorchMiner-0.4.1.tar.gz.

File metadata

  • Download URL: TorchMiner-0.4.1.tar.gz
  • Upload date:
  • Size: 26.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.12 CPython/3.8.10 Windows/10

File hashes

Hashes for TorchMiner-0.4.1.tar.gz
Algorithm Hash digest
SHA256 010534883502222142aaf2d8ab3ea440c36cdd750b2a7075b67f4a0fef990ef2
MD5 282849fe8506ecbbf85b4938cb44d0ca
BLAKE2b-256 83fdd0fa954a76a4b4cc292a74b0065dfb5fed0c08da25b1145a27cacb34ff87

See more details on using hashes here.

File details

Details for the file TorchMiner-0.4.1-py3-none-any.whl.

File metadata

  • Download URL: TorchMiner-0.4.1-py3-none-any.whl
  • Upload date:
  • Size: 22.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.12 CPython/3.8.10 Windows/10

File hashes

Hashes for TorchMiner-0.4.1-py3-none-any.whl
Algorithm Hash digest
SHA256 a2ae889228e4c6a27f2d4a554913d26cda5ba7cb039d234727d2a2411cbb00d1
MD5 cff04ae4ed87997d726bd79a1bca3880
BLAKE2b-256 9c58dfc865b0b80ecd5fff924ed74d8ed97d2ee68bfb176176ac39c7a6d35d12

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page