Skip to main content

One line functions for common tasks

Project description

Utilities for simple needs

torch snippets does a lot of default importing for you

Whether it is numpy, pandas, matplotlib or the useful functions that are mentioned below Simply call

from torch_snippets import *

All the imports are lightweight and thus should not take more than a couple of seconds

Auxiliary Functions

There are simple functions that are overloaded to take inputs and perform repetitive tasks that usually take a few lines to write

Images

show, inspect, Glob, read, resize, rotate

Files and Paths

stem, Glob, parent, name, fname,

makedir, zip_files, unzip_file,

find, extn,

readlines, writelines

Lists

L, flatten

Dump and load python objects

loaddill,dumpdill

Misc

Tqdm, Timer, randint, Logger

Sets

unique, diff, choose, common

Pytorch Modules

Reshape and Permute (nn.Modules)

Report as Pytorch Lightning Callback

LightningReport

Charts

Chart from altair

and many more to come...

Install

pip install torch_snippets

Usage

%time from torch_snippets import *
CPU times: user 1.79 s, sys: 672 ms, total: 2.46 s
Wall time: 2.62 s
dir()
['AttrDict',
 'B',
 'BB',
 'Blank',
 'C',
 'Chart',
 'DataLoader',
 'Dataset',
 'Debug',
 'E',
 'Excep',
 'F',
 'Float',
 'Glob',
 'Image',
 'ImportEnum',
 'In',
 'Inf',
 'Info',
 'Int',
 'L',
 'LightningReport',
 'NullType',
 'Out',
 'P',
 'PIL',
 'Path',
 'Permute',
 'PrettyString',
 'Report',
 'Reshape',
 'Self',
 'ShowPrint',
 'Stateful',
 'Str',
 'StrEnum',
 'T',
 'Timer',
 'Tqdm',
 'Warn',
 '_',
 '__',
 '___',
 '__builtin__',
 '__builtins__',
 '__doc__',
 '__loader__',
 '__name__',
 '__package__',
 '__spec__',
 '_dh',
 '_i',
 '_i1',
 '_i2',
 '_ih',
 '_ii',
 '_iii',
 '_oh',
 'add',
 'add_props',
 'alt',
 'anno_ret',
 'annotations',
 'arg0',
 'arg1',
 'arg2',
 'arg3',
 'arg4',
 'argnames',
 'argwhere',
 'attrdict',
 'basic_repr',
 'bbfy',
 'bind',
 'camel2snake',
 'charts',
 'choose',
 'chunked',
 'class2attr',
 'common',
 'compose',
 'copy_func',
 'crop_from_bb',
 'custom_dir',
 'cv2',
 'cycle',
 'defaults',
 'detuplify',
 'device',
 'df2bbs',
 'diff',
 'display',
 'dumpdill',
 'enlarge_bbs',
 'eq',
 'even_mults',
 'exec_local',
 'exit',
 'extn',
 'fastcores',
 'fastuple',
 'filter_dict',
 'filter_ex',
 'filter_keys',
 'filter_values',
 'find',
 'first',
 'flatten',
 'fname',
 'fname2',
 'ge',
 'gen',
 'get_class',
 'get_ipython',
 'getattrs',
 'glob',
 'groupby',
 'gt',
 'hasattrs',
 'ifnone',
 'ignore_exceptions',
 'in_',
 'inspect',
 'instantiate',
 'inum_methods',
 'is_',
 'is_array',
 'is_not',
 'isdir',
 'jitter',
 'last_index',
 'le',
 'line',
 'lines',
 'listify',
 'load_torch_model_weights_to',
 'loaddill',
 'loader',
 'logger',
 'lt',
 'lzip',
 'makedir',
 'map_ex',
 'maps',
 'maybe_attr',
 'md5',
 'merge',
 'mk_class',
 'mul',
 'ne',
 'nested_attr',
 'nested_idx',
 'nn',
 'not_',
 'now',
 'np',
 'null',
 'num_cpus',
 'num_methods',
 'nunique',
 'optim',
 'os',
 'otherwise',
 'pad',
 'parent',
 'partialler',
 'patch',
 'patch_property',
 'patch_to',
 'pd',
 'pdb',
 'pdfilter',
 'pl',
 'plt',
 'properties',
 'puttext',
 'quit',
 'rand',
 'randint',
 'range_of',
 're',
 'read',
 'readPIL',
 'readlines',
 'rect',
 'remove_duplicates',
 'rename_batch',
 'renumerate',
 'replicate',
 'resize',
 'risinstance',
 'rnum_methods',
 'rotate',
 'save_torch_model_weights_from',
 'see',
 'set_logging_level',
 'setattrs',
 'setify',
 'show',
 'shrink_bbs',
 'snake2camel',
 'sorted_ex',
 'stem',
 'stems',
 'stop',
 'store_attr',
 'str_enum',
 'sub',
 'subplots',
 'sys',
 'th',
 'to_absolute',
 'to_relative',
 'tonull',
 'torch',
 'torch_loader',
 'torchvision',
 'tqdm',
 'trange',
 'transforms',
 'true',
 'truediv',
 'try_attrs',
 'tuplify',
 'type_hints',
 'typed',
 'uint',
 'unique',
 'uniqueify',
 'unzip_file',
 'using_attr',
 'val2idx',
 'with_cast',
 'wrap_class',
 'write',
 'writelines',
 'xywh2xyXY',
 'zip_cycle',
 'zip_files']

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

torch_snippets-0.517.tar.gz (66.3 kB view details)

Uploaded Source

Built Distribution

torch_snippets-0.517-py3-none-any.whl (76.8 kB view details)

Uploaded Python 3

File details

Details for the file torch_snippets-0.517.tar.gz.

File metadata

  • Download URL: torch_snippets-0.517.tar.gz
  • Upload date:
  • Size: 66.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.15

File hashes

Hashes for torch_snippets-0.517.tar.gz
Algorithm Hash digest
SHA256 aa7ed4b2b1a755e90d7983d8e159a1f9784fe7aa6c361845c45117c02b3368cb
MD5 b9142416a36f1d2c31beba5ef999c990
BLAKE2b-256 4062d2d4b822f6e71c7f93f3f6ceb0326c88b5c64888b71d7bd0df8ceacfc3fb

See more details on using hashes here.

File details

Details for the file torch_snippets-0.517-py3-none-any.whl.

File metadata

File hashes

Hashes for torch_snippets-0.517-py3-none-any.whl
Algorithm Hash digest
SHA256 db00d084459b6cbc60cd70cab92a274c19eaec1d8e09f55508b9200e1ddcc43c
MD5 ff95b60886d05b382cdb64e2aa7834cd
BLAKE2b-256 206ec4cbef7eefcfd782bf67017605daa593404dfbcaae46335dd5478133a949

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