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-0.480.tar.gz (42.3 kB view details)

Uploaded Source

Built Distribution

torch_snippets-0.480-py3-none-any.whl (43.0 kB view details)

Uploaded Python 3

File details

Details for the file torch_snippets-0.480.tar.gz.

File metadata

  • Download URL: torch_snippets-0.480.tar.gz
  • Upload date:
  • Size: 42.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for torch_snippets-0.480.tar.gz
Algorithm Hash digest
SHA256 9c0785a9392f27e31dc97dff55b8c2d5f8cf32938ee75044b7de706eaefaff05
MD5 97bc3022935aa5c7af0ea07c40605dc8
BLAKE2b-256 5a0b877a15d8885779baf6fbdb9f74669c134dad1021fe96d52add4275e0fe4a

See more details on using hashes here.

File details

Details for the file torch_snippets-0.480-py3-none-any.whl.

File metadata

  • Download URL: torch_snippets-0.480-py3-none-any.whl
  • Upload date:
  • Size: 43.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for torch_snippets-0.480-py3-none-any.whl
Algorithm Hash digest
SHA256 0e3e69947e3948433a90d1921f241f5e1eed35a1d6fa0eefefb31c584caee6e7
MD5 6e95ae1bb848490ea81cb8094f7f76f9
BLAKE2b-256 04cef563dec7848a244b8ccaa677bad90a1d3e65099e3e9b1f082383cb5721f6

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