CUDA backend for pyclesperanto, a Python library for GPU-accelerated image processing

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for strigaud from gravatar.com strigaud

Unverified details

These details have not been verified by PyPI
Meta
  • License: BSD License (Copyright 2024 Stéphane Rigaud, Robert Haase, Institut Pasteur Paris, Max Planck Institute for Molecular Cell Biology and Genetics Dresden, ScaDS.AI, Leipzig University)
  • Author: Stephane Rigaud
  • Tags image processing , GPU , CUDA , scientific computing
  • Requires: Python >=3.8
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 strigaud from gravatar.com strigaud

Unverified details

These details have not been verified by PyPI
Meta
  • License: BSD License (Copyright 2024 Stéphane Rigaud, Robert Haase, Institut Pasteur Paris, Max Planck Institute for Molecular Cell Biology and Genetics Dresden, ScaDS.AI, Leipzig University)
  • Author: Stephane Rigaud
  • Tags image processing , GPU , CUDA , scientific computing
  • Requires: Python >=3.8
Classifiers

Release history Release notifications | RSS feed

0.22.0

This version

0.21.4

0.21.1

0.21.0

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

If you're not sure about the file name format, learn more about wheel file names.

pyclesperanto_cuda-0.21.4-cp313-cp313-win_amd64.whl (19.8 MB view details)

Uploaded CPython 3.13Windows x86-64

pyclesperanto_cuda-0.21.4-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (23.9 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

pyclesperanto_cuda-0.21.4-cp312-cp312-win_amd64.whl (19.8 MB view details)

Uploaded CPython 3.12Windows x86-64

pyclesperanto_cuda-0.21.4-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (23.9 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

pyclesperanto_cuda-0.21.4-cp311-cp311-win_amd64.whl (19.8 MB view details)

Uploaded CPython 3.11Windows x86-64

pyclesperanto_cuda-0.21.4-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (23.9 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

pyclesperanto_cuda-0.21.4-cp310-cp310-win_amd64.whl (19.8 MB view details)

Uploaded CPython 3.10Windows x86-64

pyclesperanto_cuda-0.21.4-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (23.9 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

pyclesperanto_cuda-0.21.4-cp39-cp39-win_amd64.whl (19.8 MB view details)

Uploaded CPython 3.9Windows x86-64

pyclesperanto_cuda-0.21.4-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (23.9 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

pyclesperanto_cuda-0.21.4-cp38-cp38-win_amd64.whl (19.8 MB view details)

Uploaded CPython 3.8Windows x86-64

pyclesperanto_cuda-0.21.4-cp38-cp38-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (23.9 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

File details

Details for the file pyclesperanto_cuda-0.21.4-cp313-cp313-win_amd64.whl.

File metadata

File hashes

Hashes for pyclesperanto_cuda-0.21.4-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 3b76249f0c396f9abf9279bfe108d049600bc8b23cfcee1a9c1ddfa56dc36e9f
MD5 4de6fcf0abc2e2f1bc5f0f6fee85e4c5
BLAKE2b-256 51a13ae0fe05c5df2a59e608826080e4340cb0bb9ce9c50ccb5ea200ea45a1f8

See more details on using hashes here.

File details

Details for the file pyclesperanto_cuda-0.21.4-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pyclesperanto_cuda-0.21.4-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 cb2a1d4d6f23b9547fc4c12eb1c9af891f3f034d763bdb5d6e9d80a0247b9479
MD5 4cbe6112fd954601a4a3d5a1fb22597a
BLAKE2b-256 fe9ae5885b01666127ad464e47f14bb9cd243f5e3b167764f1bd9eaab5da891e

See more details on using hashes here.

File details

Details for the file pyclesperanto_cuda-0.21.4-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for pyclesperanto_cuda-0.21.4-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 9e76e99174b3caa6df120b3d2624ec3d0a3ca0147af3dd553e2a129e25f8a49f
MD5 4c954ba9a1cff9325d1249e8e407fe48
BLAKE2b-256 638a1c8ba8388707df079b6119ae86f5043192e6273f11abb6005170b0785cc0

See more details on using hashes here.

File details

Details for the file pyclesperanto_cuda-0.21.4-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pyclesperanto_cuda-0.21.4-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 d5c434448cfd0af6dd2ae4efbe2945453774a8afea238e5680d2e0573a64dc01
MD5 67d20f3434b002a74ad62cf6f049e440
BLAKE2b-256 61a1ca859f6c1c1af908dc35bc18665499ceb1d1eeec6d86bdfd3d4a480584f2

See more details on using hashes here.

File details

Details for the file pyclesperanto_cuda-0.21.4-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for pyclesperanto_cuda-0.21.4-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 c4f8e006077c2f52872eecf3338aebff0ffb78612f07e842b217b2ab0cc05189
MD5 2fe1f051c918721597ad39e849770a35
BLAKE2b-256 251b0c8b862c62e0b30b57bdf87fc65a3f8797bcbecad44e705c1ce4bf06880b

See more details on using hashes here.

File details

Details for the file pyclesperanto_cuda-0.21.4-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pyclesperanto_cuda-0.21.4-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 5839ad1712ac06ee93af876f498c44fa6129b5b4a3be9dcef3cd6c4d69b24f88
MD5 dc797f233c983626f84bee46e5b864c0
BLAKE2b-256 4058df5cb8717e114d81f7c26ff807c165ad39117dd24d4b0101dd991f84022a

See more details on using hashes here.

File details

Details for the file pyclesperanto_cuda-0.21.4-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for pyclesperanto_cuda-0.21.4-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 bbfe9a0c639225a46b873d929f62abac3c7a082d387a65964b4f39e673d7980a
MD5 211c75ff63a5ef5bb70e2899cf524cbe
BLAKE2b-256 7984af745518a75bff706b5548ca0b1b1dfe4db37e920617f567013bc0b828fb

See more details on using hashes here.

File details

Details for the file pyclesperanto_cuda-0.21.4-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pyclesperanto_cuda-0.21.4-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 16e7142bd21843e1a1e2b64a2562e3639c3527e624726d230a758a8944125fae
MD5 20bbf1cef1534bc3287022ac470de314
BLAKE2b-256 5a063dc8f0b1e5866aa70080e0eeb5cac494d8d375f7a895ea6ab32d00fabe54

See more details on using hashes here.

File details

Details for the file pyclesperanto_cuda-0.21.4-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for pyclesperanto_cuda-0.21.4-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 1266681ea17e2c915cb265a5f5e437ece5334a7cbd458918084afc9030cf405a
MD5 81589e521e4c11600c1b73b9ef15c238
BLAKE2b-256 295192afd8102386b3ef579a66dd93523dfbfbc62d96b15999ed605985811df8

See more details on using hashes here.

File details

Details for the file pyclesperanto_cuda-0.21.4-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pyclesperanto_cuda-0.21.4-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 4000bc4844d2318ffa3d96c16c9e3ffdf026e3aca0d336c93c83ca42aad0123d
MD5 0794e8dd98629ed837c94781ed06d2d5
BLAKE2b-256 162bb5aa53e44ff361739538f7352b48e565c1b0eb0da86eb237c534d997b26f

See more details on using hashes here.

File details

Details for the file pyclesperanto_cuda-0.21.4-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for pyclesperanto_cuda-0.21.4-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 d51e76e944600cb6cb2d6a5fb9b175f2ea5d414ae9846a64685239ae3fd6fc42
MD5 580775bcf52dcbc017b2acac2d04c62d
BLAKE2b-256 0a9e616eec824f25cf0e117e03174fafda5880a799d8df1c2af5cd0e2cf98a0d

See more details on using hashes here.

File details

Details for the file pyclesperanto_cuda-0.21.4-cp38-cp38-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pyclesperanto_cuda-0.21.4-cp38-cp38-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 8ddf2da8a21ba10dd8fa4a603fe84cb9f250cbd719de3cfbf3790405a2f592ff
MD5 73afb4688bf714f0e8686bddf2321ae8
BLAKE2b-256 3fb431a6f02b0ab8f964b5391ffffb11809d1c0472e361c41013784aa4784620

See more details on using hashes here.

Supported by

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