Composable data loading modules for PyTorch

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for atalman from gravatar.com atalman Avatar for erjia from gravatar.com erjia Avatar for facebook from gravatar.com facebook Avatar for seemethere from gravatar.com seemethere

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License (BSD)
  • Author: PyTorch Team
  • Requires: Python >=3.7
Classifiers
Report project as malware

Project description

The author of this package has not provided a project description

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for atalman from gravatar.com atalman Avatar for erjia from gravatar.com erjia Avatar for facebook from gravatar.com facebook Avatar for seemethere from gravatar.com seemethere

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License (BSD)
  • Author: PyTorch Team
  • Requires: Python >=3.7
Classifiers

Release history Release notifications | RSS feed

0.11.0

0.10.1

0.10.0

0.9.0

0.8.0

0.7.1

0.7.0

0.6.1

0.6.0

0.5.1

0.5.0

This version

0.4.1

0.4.0

0.3.0

0.3.0a1 pre-release

0.3.0a0 pre-release yanked

Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

torchdata-0.4.1-cp310-cp310-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.10Windows x86-64

torchdata-0.4.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.4 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

torchdata-0.4.1-cp310-cp310-macosx_11_0_arm64.whl (1.5 MB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

torchdata-0.4.1-cp310-cp310-macosx_10_13_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.10macOS 10.13+ x86-64

torchdata-0.4.1-cp39-cp39-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.9Windows x86-64

torchdata-0.4.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.4 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

torchdata-0.4.1-cp39-cp39-macosx_11_0_arm64.whl (1.5 MB view details)

Uploaded CPython 3.9macOS 11.0+ ARM64

torchdata-0.4.1-cp39-cp39-macosx_10_13_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.9macOS 10.13+ x86-64

torchdata-0.4.1-cp38-cp38-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.8Windows x86-64

torchdata-0.4.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.4 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

torchdata-0.4.1-cp38-cp38-macosx_11_0_arm64.whl (1.5 MB view details)

Uploaded CPython 3.8macOS 11.0+ ARM64

torchdata-0.4.1-cp38-cp38-macosx_10_13_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.8macOS 10.13+ x86-64

torchdata-0.4.1-cp37-cp37m-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.7mWindows x86-64

torchdata-0.4.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.4 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ x86-64

torchdata-0.4.1-cp37-cp37m-macosx_10_13_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.7mmacOS 10.13+ x86-64

File details

Details for the file torchdata-0.4.1-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: torchdata-0.4.1-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.8.10

File hashes

Hashes for torchdata-0.4.1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 1fbffb976a088a1161fdd1ebf378bb533332c9232641b2713bfbe1c051e73a29
MD5 d26dfc2c534d821154aa05ca5b6a2075
BLAKE2b-256 aea54ec4f4be43c8cc878c0a7bcece2fa3bf780286c75864b0467c96ca255caf

See more details on using hashes here.

File details

Details for the file torchdata-0.4.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for torchdata-0.4.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 1dc96a95586f99a6fc7248ba2ea108a9f6ca555aa80cc5830bc34a7201e92f26
MD5 7643c1ca0c9571223c299e2556880a59
BLAKE2b-256 35bc21d4a8cfbcc4f498f9ae4cd40ef0abff2f1677b808607ad2c0f9158cd758

See more details on using hashes here.

File details

Details for the file torchdata-0.4.1-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for torchdata-0.4.1-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 995727a9b587179e261e451447bb1d56f95bb5a85d3fb011db8f3de7e187466c
MD5 7f9835513eb1dbece21fe2eb0ada0900
BLAKE2b-256 d531258d409d1d7660450c82d1a4bd0d51750cb25100e0476b253333312cac83

See more details on using hashes here.

File details

Details for the file torchdata-0.4.1-cp310-cp310-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for torchdata-0.4.1-cp310-cp310-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 cf098dffdd3a2d6ae0c48c4fec583721e9b1c20be25ab401e0078526a77d995a
MD5 428eb91d226b5043e2ff775f192163b9
BLAKE2b-256 ea512045704379b7bb906075e6902670a696f0a4c1e0baed79827dfd0330add6

See more details on using hashes here.

File details

Details for the file torchdata-0.4.1-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: torchdata-0.4.1-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.8.10

File hashes

Hashes for torchdata-0.4.1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 3f58eb3a4b27ffd59b10a8ac191f412ba67fc3b52713da4169ddab3f2f1251d6
MD5 336aa1a08bd7dbaae05424e9dce77fde
BLAKE2b-256 82948533c6d846e7340d8258eb9dfff0e4bcdc46ccebb42aa432a7da61c68609

See more details on using hashes here.

File details

Details for the file torchdata-0.4.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for torchdata-0.4.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 40484aaacd7eaf3e7a6f04644b23238ca560bb499fe2d6b6c76d1482e634d033
MD5 1c56d4dbd4712e27e52c0adf14b97808
BLAKE2b-256 ce29ce420f6bede494ca449d65e4e649bb1cc8b43708f2d7d75e1037f63b261a

See more details on using hashes here.

File details

Details for the file torchdata-0.4.1-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for torchdata-0.4.1-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 32acb578a7d01a3d3ba2edaea621bf3534f6a4518a39fc982a85d82e25b69ff7
MD5 bcec8f0f2e5175c1fa9687c5067f2741
BLAKE2b-256 9950e3c1f0050653524d5b5027b02fa6af8fb9f1105fed4869661e2df3d0f253

See more details on using hashes here.

File details

Details for the file torchdata-0.4.1-cp39-cp39-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for torchdata-0.4.1-cp39-cp39-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 445cea5d8a221da5c5959dbb1ad7ed034f21d223a5820a2f8676191a39dde996
MD5 c009d482aa28b8a073cefb996e92f08c
BLAKE2b-256 0ad8a772270f7ff46229f5f27eb036c0c5bca5581e5e4e7e8ff935af61b202a6

See more details on using hashes here.

File details

Details for the file torchdata-0.4.1-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: torchdata-0.4.1-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.8.10

File hashes

Hashes for torchdata-0.4.1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 7ba48f0aa4161378c4367407c4668cdc141d8f2ea54171342dc7dd693f0c455c
MD5 c79f4c6ac1774cb28ab78562837c94e6
BLAKE2b-256 e8db50a97335d0ed76852b2515aeadac8f37f40686b7dae3d77cfbd9d5e74257

See more details on using hashes here.

File details

Details for the file torchdata-0.4.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for torchdata-0.4.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 faba8feae668d9f2bd925348024aae8b79f74c185c99008f5f4c4de5ae7cee67
MD5 f16f09e04c46a373b6a018d4fd728e2c
BLAKE2b-256 d0c64841f80f19ba2eaa195aaacc05e091dfe4995a502cbb2e143897693f5fa9

See more details on using hashes here.

File details

Details for the file torchdata-0.4.1-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for torchdata-0.4.1-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 f55e93537a9513e0f5a23fe4bd14262fcd30e3edd751a38ef86bae435ae6b479
MD5 9f111f4ca0ecba9e51a2b69942094b4e
BLAKE2b-256 5d330724e68c24f950dd7617ccee43c771f2a212c938d49da4a5fc7e1164c91b

See more details on using hashes here.

File details

Details for the file torchdata-0.4.1-cp38-cp38-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for torchdata-0.4.1-cp38-cp38-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 c092e32b3620fc5a6339c4e4c78df07404a8dd1a52ae5f2489ba1200d8187eb3
MD5 cafcaedb4e0a68fda9a2a453f3065ad0
BLAKE2b-256 ee202ffeb846a24b8bbb94106d9f387de909224efe8483d7ba60d0281d7b4ab4

See more details on using hashes here.

File details

Details for the file torchdata-0.4.1-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: torchdata-0.4.1-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.8.10

File hashes

Hashes for torchdata-0.4.1-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 c4324c7b30c22d03de2df89e8e3fe69b4a66dbb6397c86a18d4430c4ba843647
MD5 f883d27b305b85dd5a6c6db4398f805f
BLAKE2b-256 1545b08f9d26037577044ca9bba8e2eadd6b868d7159310ca234a7d5b6c56978

See more details on using hashes here.

File details

Details for the file torchdata-0.4.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for torchdata-0.4.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 442baed250e08245fff492d362d79f8db6796efcdb6eb5ec5f3167a860f0a86b
MD5 65d3a8e307248deed4f09e517f454feb
BLAKE2b-256 d00c4cbd06450949e0f33979131e1aeeb008159484bf0a7659e4b9ce3b2c9a64

See more details on using hashes here.

File details

Details for the file torchdata-0.4.1-cp37-cp37m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for torchdata-0.4.1-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 cb401af1cd27022e7ffe0a173b2f45a6fbf815ffa61d82a4b617784fa237129e
MD5 b07701d552e4fa58cbe928d31e7f43d1
BLAKE2b-256 17197e0f170a69bc838fced307f1b6948e2c2627b256a92234677a0c307ec100

See more details on using hashes here.

Supported by

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