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-0.514.tar.gz (66.1 kB view details)

Uploaded Source

Built Distribution

torch_snippets-0.514-py3-none-any.whl (76.7 kB view details)

Uploaded Python 3

File details

Details for the file torch_snippets-0.514.tar.gz.

File metadata

  • Download URL: torch_snippets-0.514.tar.gz
  • Upload date:
  • Size: 66.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.15

File hashes

Hashes for torch_snippets-0.514.tar.gz
Algorithm Hash digest
SHA256 e821163934a06046eb8756b3af5bcad6899ccf9c50eff3cabeb619b98e89cf95
MD5 cc26ca08ee6b18fb03d3624a63284e5b
BLAKE2b-256 b300e0559f800982e4bb28e7070e5e8d8130d1d7e3eee32e25b4d148dd301364

See more details on using hashes here.

File details

Details for the file torch_snippets-0.514-py3-none-any.whl.

File metadata

File hashes

Hashes for torch_snippets-0.514-py3-none-any.whl
Algorithm Hash digest
SHA256 2bee8b1a630a3b4979b7d95959a0287e84308443fe1109cb0baa6e9dad032809
MD5 8f2d0a7c0ed2de9e8432a387f57d7f57
BLAKE2b-256 18d4f5e21ab5adadf38d72041c2caed53858fb836149e263bbbd4c677c08e767

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