paddle-bfloat

Paddle numpy bfloat16 package

Project description

The author of this package has not provided a project description

Project details

Release history Release notifications | RSS feed

0.1.7

May 18, 2022

This version

0.1.6

May 14, 2022

0.1.5

May 12, 2022

0.1.4

May 9, 2022

0.1.3

Apr 14, 2022

0.1.2

Sep 13, 2021

0.1.1

Sep 13, 2021

Download files

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

Source Distribution

paddle_bfloat-0.1.6.tar.gz (558.3 kB view details)

Uploaded May 14, 2022 Source

Built Distributions

paddle_bfloat-0.1.6-cp310-cp310-win_amd64.whl (39.5 kB view details)

Uploaded May 14, 2022 CPython 3.10 Windows x86-64

paddle_bfloat-0.1.6-cp310-cp310-win32.whl (32.4 kB view details)

Uploaded May 14, 2022 CPython 3.10 Windows x86

paddle_bfloat-0.1.6-cp310-cp310-musllinux_1_1_x86_64.whl (933.6 kB view details)

Uploaded May 14, 2022 CPython 3.10 musllinux: musl 1.1+ x86-64

paddle_bfloat-0.1.6-cp310-cp310-musllinux_1_1_i686.whl (957.3 kB view details)

Uploaded May 14, 2022 CPython 3.10 musllinux: musl 1.1+ i686

paddle_bfloat-0.1.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (383.2 kB view details)

Uploaded May 14, 2022 CPython 3.10 manylinux: glibc 2.17+ x86-64

paddle_bfloat-0.1.6-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (361.9 kB view details)

Uploaded May 14, 2022 CPython 3.10 manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

paddle_bfloat-0.1.6-cp310-cp310-macosx_11_0_arm64.whl (41.9 kB view details)

Uploaded May 14, 2022 CPython 3.10 macOS 11.0+ ARM64

paddle_bfloat-0.1.6-cp310-cp310-macosx_10_9_x86_64.whl (46.3 kB view details)

Uploaded May 14, 2022 CPython 3.10 macOS 10.9+ x86-64

paddle_bfloat-0.1.6-cp39-cp39-win_amd64.whl (39.6 kB view details)

Uploaded May 14, 2022 CPython 3.9 Windows x86-64

paddle_bfloat-0.1.6-cp39-cp39-win32.whl (32.4 kB view details)

Uploaded May 14, 2022 CPython 3.9 Windows x86

paddle_bfloat-0.1.6-cp39-cp39-musllinux_1_1_x86_64.whl (933.7 kB view details)

Uploaded May 14, 2022 CPython 3.9 musllinux: musl 1.1+ x86-64

paddle_bfloat-0.1.6-cp39-cp39-musllinux_1_1_i686.whl (957.0 kB view details)

Uploaded May 14, 2022 CPython 3.9 musllinux: musl 1.1+ i686

paddle_bfloat-0.1.6-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (382.8 kB view details)

Uploaded May 14, 2022 CPython 3.9 manylinux: glibc 2.17+ x86-64

paddle_bfloat-0.1.6-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (361.9 kB view details)

Uploaded May 14, 2022 CPython 3.9 manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

paddle_bfloat-0.1.6-cp39-cp39-macosx_11_0_arm64.whl (41.9 kB view details)

Uploaded May 14, 2022 CPython 3.9 macOS 11.0+ ARM64

paddle_bfloat-0.1.6-cp39-cp39-macosx_10_9_x86_64.whl (46.2 kB view details)

Uploaded May 14, 2022 CPython 3.9 macOS 10.9+ x86-64

paddle_bfloat-0.1.6-cp38-cp38-win_amd64.whl (39.6 kB view details)

Uploaded May 14, 2022 CPython 3.8 Windows x86-64

paddle_bfloat-0.1.6-cp38-cp38-win32.whl (32.1 kB view details)

Uploaded May 14, 2022 CPython 3.8 Windows x86

paddle_bfloat-0.1.6-cp38-cp38-musllinux_1_1_x86_64.whl (936.9 kB view details)

Uploaded May 14, 2022 CPython 3.8 musllinux: musl 1.1+ x86-64

paddle_bfloat-0.1.6-cp38-cp38-musllinux_1_1_i686.whl (960.5 kB view details)

Uploaded May 14, 2022 CPython 3.8 musllinux: musl 1.1+ i686

paddle_bfloat-0.1.6-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (385.5 kB view details)

Uploaded May 14, 2022 CPython 3.8 manylinux: glibc 2.17+ x86-64

paddle_bfloat-0.1.6-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (364.4 kB view details)

Uploaded May 14, 2022 CPython 3.8 manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

paddle_bfloat-0.1.6-cp38-cp38-macosx_11_0_arm64.whl (41.9 kB view details)

Uploaded May 14, 2022 CPython 3.8 macOS 11.0+ ARM64

paddle_bfloat-0.1.6-cp38-cp38-macosx_10_9_x86_64.whl (46.3 kB view details)

Uploaded May 14, 2022 CPython 3.8 macOS 10.9+ x86-64

paddle_bfloat-0.1.6-cp37-cp37m-win_amd64.whl (40.6 kB view details)

Uploaded May 14, 2022 CPython 3.7m Windows x86-64

paddle_bfloat-0.1.6-cp37-cp37m-win32.whl (33.3 kB view details)

Uploaded May 14, 2022 CPython 3.7m Windows x86

paddle_bfloat-0.1.6-cp37-cp37m-musllinux_1_1_x86_64.whl (935.3 kB view details)

Uploaded May 14, 2022 CPython 3.7m musllinux: musl 1.1+ x86-64

paddle_bfloat-0.1.6-cp37-cp37m-musllinux_1_1_i686.whl (958.2 kB view details)

Uploaded May 14, 2022 CPython 3.7m musllinux: musl 1.1+ i686

paddle_bfloat-0.1.6-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (394.8 kB view details)

Uploaded May 14, 2022 CPython 3.7m manylinux: glibc 2.17+ x86-64

paddle_bfloat-0.1.6-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (372.9 kB view details)

Uploaded May 14, 2022 CPython 3.7m manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

paddle_bfloat-0.1.6-cp37-cp37m-macosx_10_9_x86_64.whl (44.8 kB view details)

Uploaded May 14, 2022 CPython 3.7m macOS 10.9+ x86-64

paddle_bfloat-0.1.6-cp36-cp36m-win_amd64.whl (41.8 kB view details)

Uploaded May 14, 2022 CPython 3.6m Windows x86-64

paddle_bfloat-0.1.6-cp36-cp36m-win32.whl (34.5 kB view details)

Uploaded May 14, 2022 CPython 3.6m Windows x86

paddle_bfloat-0.1.6-cp36-cp36m-musllinux_1_1_x86_64.whl (934.7 kB view details)

Uploaded May 14, 2022 CPython 3.6m musllinux: musl 1.1+ x86-64

paddle_bfloat-0.1.6-cp36-cp36m-musllinux_1_1_i686.whl (957.2 kB view details)

Uploaded May 14, 2022 CPython 3.6m musllinux: musl 1.1+ i686

paddle_bfloat-0.1.6-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (394.9 kB view details)

Uploaded May 14, 2022 CPython 3.6m manylinux: glibc 2.17+ x86-64

paddle_bfloat-0.1.6-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (373.0 kB view details)

Uploaded May 14, 2022 CPython 3.6m manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

paddle_bfloat-0.1.6-cp36-cp36m-macosx_10_9_x86_64.whl (44.8 kB view details)

Uploaded May 14, 2022 CPython 3.6m macOS 10.9+ x86-64

File details

Details for the file paddle_bfloat-0.1.6.tar.gz.

File metadata

Download URL: paddle_bfloat-0.1.6.tar.gz
Upload date: May 14, 2022
Size: 558.3 kB
Tags: Source
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.0 CPython/3.8.13

File hashes

Hashes for paddle_bfloat-0.1.6.tar.gz
Algorithm	Hash digest
SHA256	`8220b8f4b670f6afa28d0488deee6a1f325d51c39c3dc02323fb53980fb8b60c`
MD5	`ab1e20fb1d1fafca7efa851592ae2fbe`
BLAKE2b-256	`8b17cf9db1fb388faf255cfed30bd55b859399a6ff88f6e3c9a8f00c9668bf50`

See more details on using hashes here.

Provenance

File details

Details for the file paddle_bfloat-0.1.6-cp310-cp310-win_amd64.whl.

File metadata

Download URL: paddle_bfloat-0.1.6-cp310-cp310-win_amd64.whl
Upload date: May 14, 2022
Size: 39.5 kB
Tags: CPython 3.10, Windows x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.0 CPython/3.8.13

File hashes

Hashes for paddle_bfloat-0.1.6-cp310-cp310-win_amd64.whl
Algorithm	Hash digest
SHA256	`70f89e4fffaffac937c9233f9a9d6101b56e05c6f713af286206cc5da867c636`
MD5	`49cc2eb4d6cbc9ac5ae14973b1addea1`
BLAKE2b-256	`b118574859d9efd307c2bd58ccdce5212f0c4839f1c92eaa369d6c58874aab68`

See more details on using hashes here.

Provenance

File details

Details for the file paddle_bfloat-0.1.6-cp310-cp310-win32.whl.

File metadata

Download URL: paddle_bfloat-0.1.6-cp310-cp310-win32.whl
Upload date: May 14, 2022
Size: 32.4 kB
Tags: CPython 3.10, Windows x86
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.0 CPython/3.8.13

File hashes

Hashes for paddle_bfloat-0.1.6-cp310-cp310-win32.whl
Algorithm	Hash digest
SHA256	`a2785136bcec341b73768365359024e108d2bf9138335a5dd1c9c11f5917d835`
MD5	`b8947663277ea12029e4e3eae269ff12`
BLAKE2b-256	`d0502d9f96bc774ae1e970c573b137d0bcde3262a3f2f0ea5a9da4820fdf2478`

See more details on using hashes here.

Provenance

File details

Details for the file paddle_bfloat-0.1.6-cp310-cp310-musllinux_1_1_x86_64.whl.

File metadata

Download URL: paddle_bfloat-0.1.6-cp310-cp310-musllinux_1_1_x86_64.whl
Upload date: May 14, 2022
Size: 933.6 kB
Tags: CPython 3.10, musllinux: musl 1.1+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.0 CPython/3.8.13

File hashes

Hashes for paddle_bfloat-0.1.6-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm	Hash digest
SHA256	`24f9ef9a881058e9075c0ee0ba5d0ac3c8acec5998b892a39ed2ffe519f40794`
MD5	`4a953cdac4a1789962f60881ca7bb7bc`
BLAKE2b-256	`f784ca57bf8c73966da9df45991554b6a2dade4cb8e778578f65e7fd94044ba8`

See more details on using hashes here.

Provenance

File details

Details for the file paddle_bfloat-0.1.6-cp310-cp310-musllinux_1_1_i686.whl.

File metadata

Download URL: paddle_bfloat-0.1.6-cp310-cp310-musllinux_1_1_i686.whl
Upload date: May 14, 2022
Size: 957.3 kB
Tags: CPython 3.10, musllinux: musl 1.1+ i686
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.0 CPython/3.8.13

File hashes

Hashes for paddle_bfloat-0.1.6-cp310-cp310-musllinux_1_1_i686.whl
Algorithm	Hash digest
SHA256	`bab95f2f69c4be370a115fda9983dc0ef857874947ca9306f26427d7d59d1535`
MD5	`c51726d584d879eb1f571ecfea61e2a3`
BLAKE2b-256	`1f5e90b420f5a3cb3bdd94362cc3a46c37b10725f8afd7cc4796908797f06a5b`

See more details on using hashes here.

Provenance

File details

Details for the file paddle_bfloat-0.1.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

Download URL: paddle_bfloat-0.1.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Upload date: May 14, 2022
Size: 383.2 kB
Tags: CPython 3.10, manylinux: glibc 2.17+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.0 CPython/3.8.13

File hashes

Hashes for paddle_bfloat-0.1.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`65e778efb9eff51bd17de6269fce01bc3b01644f2383657d3dbae8a6eebc707f`
MD5	`e621cba4fc8d0b8f35b9842f4d295353`
BLAKE2b-256	`e04daadf5780a19452c9da0464381cfc4ee21ee3c740014eecc7745130ba687e`

See more details on using hashes here.

Provenance

File details

Details for the file paddle_bfloat-0.1.6-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

Download URL: paddle_bfloat-0.1.6-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Upload date: May 14, 2022
Size: 361.9 kB
Tags: CPython 3.10, manylinux: glibc 2.17+ i686, manylinux: glibc 2.5+ i686
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.0 CPython/3.8.13

File hashes

Hashes for paddle_bfloat-0.1.6-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm	Hash digest
SHA256	`97403be1d22dc556c0c809bc56f9d4410b676b4dadb7f1a56aec69b55a832514`
MD5	`27844699de5ed49a39525364fa3847fb`
BLAKE2b-256	`c8291424b4a23a2846de2842e46066313b551de41fc745c1dce739ee857f1c6c`

See more details on using hashes here.

Provenance

File details

Details for the file paddle_bfloat-0.1.6-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

Download URL: paddle_bfloat-0.1.6-cp310-cp310-macosx_11_0_arm64.whl
Upload date: May 14, 2022
Size: 41.9 kB
Tags: CPython 3.10, macOS 11.0+ ARM64
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.0 CPython/3.8.13

File hashes

Hashes for paddle_bfloat-0.1.6-cp310-cp310-macosx_11_0_arm64.whl
Algorithm	Hash digest
SHA256	`3c373e61852a21f93d79084cf10c948037371f5c87095c4b90c9fd1b72bc3def`
MD5	`39442c03a20ab91f888d768c0ba54b0a`
BLAKE2b-256	`95d9aaeea368a8bdd67f4d481fdd4184a64c7bd85dca0fd7f14a42afb1ec4fc8`

See more details on using hashes here.

Provenance

File details

Details for the file paddle_bfloat-0.1.6-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

Download URL: paddle_bfloat-0.1.6-cp310-cp310-macosx_10_9_x86_64.whl
Upload date: May 14, 2022
Size: 46.3 kB
Tags: CPython 3.10, macOS 10.9+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.0 CPython/3.8.13

File hashes

Hashes for paddle_bfloat-0.1.6-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`bba296ce61838f642c1d6f3bca8097bf33ca40c75eb160de931f63505ebe4047`
MD5	`71790fd1dfe4c8a558b4003920eb6da5`
BLAKE2b-256	`9a0623cdf2f4557771107c1614c4a2e670ac02ddbe15af20b88b94ba9f999060`

See more details on using hashes here.

Provenance

File details

Details for the file paddle_bfloat-0.1.6-cp39-cp39-win_amd64.whl.

File metadata

Download URL: paddle_bfloat-0.1.6-cp39-cp39-win_amd64.whl
Upload date: May 14, 2022
Size: 39.6 kB
Tags: CPython 3.9, Windows x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.0 CPython/3.8.13

File hashes

Hashes for paddle_bfloat-0.1.6-cp39-cp39-win_amd64.whl
Algorithm	Hash digest
SHA256	`d9d2e387cc1719c4f5c24d3ae00a34bc87b5e5f855ddfaf676f82a1f4d368cf8`
MD5	`29df4e381e994ef356942f7b77994db2`
BLAKE2b-256	`8752b107f979d30a43d974d7aa3dcfe09e1a4617c30d223b6c1ffa399a7d2dae`

See more details on using hashes here.

Provenance

File details

Details for the file paddle_bfloat-0.1.6-cp39-cp39-win32.whl.

File metadata

Download URL: paddle_bfloat-0.1.6-cp39-cp39-win32.whl
Upload date: May 14, 2022
Size: 32.4 kB
Tags: CPython 3.9, Windows x86
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.0 CPython/3.8.13

File hashes

Hashes for paddle_bfloat-0.1.6-cp39-cp39-win32.whl
Algorithm	Hash digest
SHA256	`918caa57cba93ab3795b7888ca5e65854350e91d98be57e5cf3de588bcab7a32`
MD5	`a58bac67d2bf801cc7e79983404b3e2d`
BLAKE2b-256	`0a1771df917ff7d79abc6e1e101fb1df3b206b6911d51280967ded0654d98037`

See more details on using hashes here.

Provenance

File details

Details for the file paddle_bfloat-0.1.6-cp39-cp39-musllinux_1_1_x86_64.whl.

File metadata

Download URL: paddle_bfloat-0.1.6-cp39-cp39-musllinux_1_1_x86_64.whl
Upload date: May 14, 2022
Size: 933.7 kB
Tags: CPython 3.9, musllinux: musl 1.1+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.0 CPython/3.8.13

File hashes

Hashes for paddle_bfloat-0.1.6-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm	Hash digest
SHA256	`619ed6a8a8f4235b7c15070823a6cca7a10916eef301b336c076034c17171d54`
MD5	`942621a9874ed67eadcc5015bcbadff5`
BLAKE2b-256	`e28c846285c3207d6fe8407ef247cd2850f1011184b1a4767433e241967fcb13`

See more details on using hashes here.

Provenance

File details

Details for the file paddle_bfloat-0.1.6-cp39-cp39-musllinux_1_1_i686.whl.

File metadata

Download URL: paddle_bfloat-0.1.6-cp39-cp39-musllinux_1_1_i686.whl
Upload date: May 14, 2022
Size: 957.0 kB
Tags: CPython 3.9, musllinux: musl 1.1+ i686
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.0 CPython/3.8.13

File hashes

Hashes for paddle_bfloat-0.1.6-cp39-cp39-musllinux_1_1_i686.whl
Algorithm	Hash digest
SHA256	`deb6a47b8eebe427bd9ba96336c11ca5f96a519df1d47a7d7d5ac077e1a319f4`
MD5	`bec2ab4b418f76c62fe5262b7dfb07c4`
BLAKE2b-256	`071e02e92e5ff850e82dab46c698d7f467cac949335fbb8e4f4ecef304b2215c`

See more details on using hashes here.

Provenance

File details

Details for the file paddle_bfloat-0.1.6-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

Download URL: paddle_bfloat-0.1.6-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Upload date: May 14, 2022
Size: 382.8 kB
Tags: CPython 3.9, manylinux: glibc 2.17+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.0 CPython/3.8.13

File hashes

Hashes for paddle_bfloat-0.1.6-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`5d5f9abf10672c58b2e6c2f01fa7c5ecb860869c8d8ba4b1e4ada1795f7e07b0`
MD5	`76e99ee67a3d34783d90126969d25a23`
BLAKE2b-256	`cc1d20d7e889b26338caafd0bfad5344f70e2b933d47f2f195ad0d3a36edfe5a`

See more details on using hashes here.

Provenance

File details

Details for the file paddle_bfloat-0.1.6-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

Download URL: paddle_bfloat-0.1.6-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Upload date: May 14, 2022
Size: 361.9 kB
Tags: CPython 3.9, manylinux: glibc 2.17+ i686, manylinux: glibc 2.5+ i686
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.0 CPython/3.8.13

File hashes

Hashes for paddle_bfloat-0.1.6-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm	Hash digest
SHA256	`e4096b7f31b099009e8277b0af4b918729ae1b33eeac1ee49ff818f09bed391c`
MD5	`c96e346ca2469d709576d104d097739a`
BLAKE2b-256	`0af71297aee10fc1cf1c24941c1c1f4d6fdcd896e346a35451c422f68b9f275f`

See more details on using hashes here.

Provenance

File details

Details for the file paddle_bfloat-0.1.6-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

Download URL: paddle_bfloat-0.1.6-cp39-cp39-macosx_11_0_arm64.whl
Upload date: May 14, 2022
Size: 41.9 kB
Tags: CPython 3.9, macOS 11.0+ ARM64
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.0 CPython/3.8.13

File hashes

Hashes for paddle_bfloat-0.1.6-cp39-cp39-macosx_11_0_arm64.whl
Algorithm	Hash digest
SHA256	`e557b70b3f15937baecb5477838c0e7a548b6b78f2fb45aad8eb36538c5faf43`
MD5	`6ce6551b88f0ac393e612f0da4284a07`
BLAKE2b-256	`3f336aa43748b97ed8006e1b2d259ac2dcd02512dd9993c983993904f02207f0`

See more details on using hashes here.

Provenance

File details

Details for the file paddle_bfloat-0.1.6-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

Download URL: paddle_bfloat-0.1.6-cp39-cp39-macosx_10_9_x86_64.whl
Upload date: May 14, 2022
Size: 46.2 kB
Tags: CPython 3.9, macOS 10.9+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.0 CPython/3.8.13

File hashes

Hashes for paddle_bfloat-0.1.6-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`0f72b91533bfd645a5c8a743e564c7625a19459bf6c47a1b4470a765292c26e6`
MD5	`dd0feac60e6097093751cf4d5c5db065`
BLAKE2b-256	`b728d52125dc7344d8a46a5af3e3f3efac2b195c10ebe1cadd571a4861c08333`

See more details on using hashes here.

Provenance

File details

Details for the file paddle_bfloat-0.1.6-cp38-cp38-win_amd64.whl.

File metadata

Download URL: paddle_bfloat-0.1.6-cp38-cp38-win_amd64.whl
Upload date: May 14, 2022
Size: 39.6 kB
Tags: CPython 3.8, Windows x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.0 CPython/3.8.13

File hashes

Hashes for paddle_bfloat-0.1.6-cp38-cp38-win_amd64.whl
Algorithm	Hash digest
SHA256	`4edf3d4805e3539ee6af51b1ec7987e16a7bbce361a75a5da788da719889ed08`
MD5	`fa73f04f17cc41e2b45c50d000c5c8b0`
BLAKE2b-256	`8c4797fe9e68ba140271792651a5286188905bc87d4061d64b00e25ab9e78a9a`

See more details on using hashes here.

Provenance

File details

Details for the file paddle_bfloat-0.1.6-cp38-cp38-win32.whl.

File metadata

Download URL: paddle_bfloat-0.1.6-cp38-cp38-win32.whl
Upload date: May 14, 2022
Size: 32.1 kB
Tags: CPython 3.8, Windows x86
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.0 CPython/3.8.13

File hashes

Hashes for paddle_bfloat-0.1.6-cp38-cp38-win32.whl
Algorithm	Hash digest
SHA256	`ee9a9ae0bce49b2211e85c7964ffea9a18408ef44d8a622beecb068f3b809cd2`
MD5	`7f96c7219ec7f1bda320ed98a11e359c`
BLAKE2b-256	`18f1ac36f23297269236dce4e59997e3c1bc675df1990f7089a009d02353d058`

See more details on using hashes here.

Provenance

File details

Details for the file paddle_bfloat-0.1.6-cp38-cp38-musllinux_1_1_x86_64.whl.

File metadata

Download URL: paddle_bfloat-0.1.6-cp38-cp38-musllinux_1_1_x86_64.whl
Upload date: May 14, 2022
Size: 936.9 kB
Tags: CPython 3.8, musllinux: musl 1.1+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.0 CPython/3.8.13

File hashes

Hashes for paddle_bfloat-0.1.6-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm	Hash digest
SHA256	`1faf95e34000d1aedf869765c6936f398e0aeeae90bedf2d837eecb0ab1315f6`
MD5	`1757e17af2c53b068c903aec28338b26`
BLAKE2b-256	`6e7483940bc1df0e04f6f9917a4936f87c82342b718bffe82ba2e06baae86901`

See more details on using hashes here.

Provenance

File details

Details for the file paddle_bfloat-0.1.6-cp38-cp38-musllinux_1_1_i686.whl.

File metadata

Download URL: paddle_bfloat-0.1.6-cp38-cp38-musllinux_1_1_i686.whl
Upload date: May 14, 2022
Size: 960.5 kB
Tags: CPython 3.8, musllinux: musl 1.1+ i686
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.0 CPython/3.8.13

File hashes

Hashes for paddle_bfloat-0.1.6-cp38-cp38-musllinux_1_1_i686.whl
Algorithm	Hash digest
SHA256	`5a071b5432d66d911f27ff1324b82ce087b445780ddcd6f534eb45ff9c8ce62a`
MD5	`c5ef2e845275326258969641f0bc1501`
BLAKE2b-256	`b081cd8f17f10f6e07b06c8b9fd06d64f55fd5ea5d47972a6efe50782a0c0c6c`

See more details on using hashes here.

Provenance

File details

Details for the file paddle_bfloat-0.1.6-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

Download URL: paddle_bfloat-0.1.6-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Upload date: May 14, 2022
Size: 385.5 kB
Tags: CPython 3.8, manylinux: glibc 2.17+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.0 CPython/3.8.13

File hashes

Hashes for paddle_bfloat-0.1.6-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`69071e6eba14c865b469ff645c6cf894c6383304b16b52fdbcac0a670b787896`
MD5	`7017c5f23052616dff8fdb51ef03328e`
BLAKE2b-256	`1d9e515b6b311aa582a22bf911cceb198a333d90aa4dcfe6071a49a47f1dd7c6`

See more details on using hashes here.

Provenance

File details

Details for the file paddle_bfloat-0.1.6-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

Download URL: paddle_bfloat-0.1.6-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Upload date: May 14, 2022
Size: 364.4 kB
Tags: CPython 3.8, manylinux: glibc 2.17+ i686, manylinux: glibc 2.5+ i686
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.0 CPython/3.8.13

File hashes

Hashes for paddle_bfloat-0.1.6-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm	Hash digest
SHA256	`dad40147525fa975bc01de40aaa246ffc2b143f4cbd821bef524e11b829778ff`
MD5	`e9cc6b0070c2c42dee31b64bab265ddc`
BLAKE2b-256	`b3997495fd20c8e8376b594a096244fea35e535da2631a5fe25df985b3aca2ec`

See more details on using hashes here.

Provenance

File details

Details for the file paddle_bfloat-0.1.6-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

Download URL: paddle_bfloat-0.1.6-cp38-cp38-macosx_11_0_arm64.whl
Upload date: May 14, 2022
Size: 41.9 kB
Tags: CPython 3.8, macOS 11.0+ ARM64
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.0 CPython/3.8.13

File hashes

Hashes for paddle_bfloat-0.1.6-cp38-cp38-macosx_11_0_arm64.whl
Algorithm	Hash digest
SHA256	`c70dee44fb00f74d1df8079f3f63211b6a337881437756bcdec49e708df3eaef`
MD5	`70c148e5eb3d05ed3f08144770f0d3f0`
BLAKE2b-256	`d9342b1711a8832b0ce123128e94ad6714544cde819b6fe8b4a14f4a617a697c`

See more details on using hashes here.

Provenance

File details

Details for the file paddle_bfloat-0.1.6-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

Download URL: paddle_bfloat-0.1.6-cp38-cp38-macosx_10_9_x86_64.whl
Upload date: May 14, 2022
Size: 46.3 kB
Tags: CPython 3.8, macOS 10.9+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.0 CPython/3.8.13

File hashes

Hashes for paddle_bfloat-0.1.6-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`974dd3e923c24e71b85aa9985d7c87da0e11e0f820e5006cf658fdb75bc6f46c`
MD5	`0ff7330a9da706d374f250ecc6ddce49`
BLAKE2b-256	`1fee8f824759f915a912211c0c7df0207d38c5fc2081e70e115802d55cf8683b`

See more details on using hashes here.

Provenance

File details

Details for the file paddle_bfloat-0.1.6-cp37-cp37m-win_amd64.whl.

File metadata

Download URL: paddle_bfloat-0.1.6-cp37-cp37m-win_amd64.whl
Upload date: May 14, 2022
Size: 40.6 kB
Tags: CPython 3.7m, Windows x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.0 CPython/3.8.13

File hashes

Hashes for paddle_bfloat-0.1.6-cp37-cp37m-win_amd64.whl
Algorithm	Hash digest
SHA256	`bfe27c54cc19cd96e3387d77baf2c70aca10fa3377d9c35551b5eefbd40b0231`
MD5	`6efd2015b292a99dcd50477f81865949`
BLAKE2b-256	`20f7aba6c9c6ce884ee02bdd1db4bc762e4d4eaf3220d129126bf39eaf4f10ca`

See more details on using hashes here.

Provenance

File details

Details for the file paddle_bfloat-0.1.6-cp37-cp37m-win32.whl.

File metadata

Download URL: paddle_bfloat-0.1.6-cp37-cp37m-win32.whl
Upload date: May 14, 2022
Size: 33.3 kB
Tags: CPython 3.7m, Windows x86
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.0 CPython/3.8.13

File hashes

Hashes for paddle_bfloat-0.1.6-cp37-cp37m-win32.whl
Algorithm	Hash digest
SHA256	`0f68ab8fd2d999f72b8cb52fbb5761e17b460b2f3decdebc4920c8f2db5863f6`
MD5	`acf594016c4c1feecd49845bb37e5743`
BLAKE2b-256	`1da2f63cdd56289694c4b6f80a19eee2fa384035ae76a25a4733cf3e61d850bf`

See more details on using hashes here.

Provenance

File details

Details for the file paddle_bfloat-0.1.6-cp37-cp37m-musllinux_1_1_x86_64.whl.

File metadata

Download URL: paddle_bfloat-0.1.6-cp37-cp37m-musllinux_1_1_x86_64.whl
Upload date: May 14, 2022
Size: 935.3 kB
Tags: CPython 3.7m, musllinux: musl 1.1+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.0 CPython/3.8.13

File hashes

Hashes for paddle_bfloat-0.1.6-cp37-cp37m-musllinux_1_1_x86_64.whl
Algorithm	Hash digest
SHA256	`a9efda537dfdcb49b9963f34054858500a10ff564fc9a5eb6764fbc6dba764f9`
MD5	`fcede8603936e02c245fb7b0b74336cb`
BLAKE2b-256	`f3f188ccfce732237503f8af8a1380825c15ef6ee7b9d985bdddc34bc3b178ba`

See more details on using hashes here.

Provenance

File details

Details for the file paddle_bfloat-0.1.6-cp37-cp37m-musllinux_1_1_i686.whl.

File metadata

Download URL: paddle_bfloat-0.1.6-cp37-cp37m-musllinux_1_1_i686.whl
Upload date: May 14, 2022
Size: 958.2 kB
Tags: CPython 3.7m, musllinux: musl 1.1+ i686
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.0 CPython/3.8.13

File hashes

Hashes for paddle_bfloat-0.1.6-cp37-cp37m-musllinux_1_1_i686.whl
Algorithm	Hash digest
SHA256	`405e2d6404d9654271c5f98c07fe2916dacc6d8075fa382aca51e64d2fbfcadc`
MD5	`86aeda935b9bfa88377cea7ac79fc555`
BLAKE2b-256	`4309399971f4a2f40e1e9590230a8dc9bca340eaab33ff34bdb54e5ed6276a89`

See more details on using hashes here.

Provenance

File details

Details for the file paddle_bfloat-0.1.6-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

Download URL: paddle_bfloat-0.1.6-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Upload date: May 14, 2022
Size: 394.8 kB
Tags: CPython 3.7m, manylinux: glibc 2.17+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.0 CPython/3.8.13

File hashes

Hashes for paddle_bfloat-0.1.6-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`36e0ffe9d61bcc308c7abb150151d5a064eef7a92409f30edd24ef74738af8e0`
MD5	`a73651f4027202c7d52a847e1e4e3cde`
BLAKE2b-256	`9b9b5be913376c790d2e384e85437fd2fcd7d1cc51ab21ff000387c3c41b86a8`

See more details on using hashes here.

Provenance

File details

Details for the file paddle_bfloat-0.1.6-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

Download URL: paddle_bfloat-0.1.6-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Upload date: May 14, 2022
Size: 372.9 kB
Tags: CPython 3.7m, manylinux: glibc 2.17+ i686, manylinux: glibc 2.5+ i686
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.0 CPython/3.8.13

File hashes

Hashes for paddle_bfloat-0.1.6-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm	Hash digest
SHA256	`d813118fd4e8f8bfe107acdfc2f3f6d5a3e8508a7bc5fc33bb71b4908e97a113`
MD5	`8b6ed03c71b8b386143a747c6e1cf714`
BLAKE2b-256	`5c158c5670440698c81866efb19200d7dd9cf02b45f2f0fcc4e23604ac531b6d`

See more details on using hashes here.

Provenance

File details

Details for the file paddle_bfloat-0.1.6-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

Download URL: paddle_bfloat-0.1.6-cp37-cp37m-macosx_10_9_x86_64.whl
Upload date: May 14, 2022
Size: 44.8 kB
Tags: CPython 3.7m, macOS 10.9+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.0 CPython/3.8.13

File hashes

Hashes for paddle_bfloat-0.1.6-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`cf2ba2cfd3bb54d6af9980b2a3265232847b1d626b6a8634160ccf2ee6557e9e`
MD5	`ff86cc530a8a6f60cf812ce9dc426bf2`
BLAKE2b-256	`c933bfffe9199952069cdbec44dcbec496bf93f4e4dd3ac0a767f3cd9aac4a16`

See more details on using hashes here.

Provenance

File details

Details for the file paddle_bfloat-0.1.6-cp36-cp36m-win_amd64.whl.

File metadata

Download URL: paddle_bfloat-0.1.6-cp36-cp36m-win_amd64.whl
Upload date: May 14, 2022
Size: 41.8 kB
Tags: CPython 3.6m, Windows x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.0 CPython/3.8.13

File hashes

Hashes for paddle_bfloat-0.1.6-cp36-cp36m-win_amd64.whl
Algorithm	Hash digest
SHA256	`d657a9780850106d9b08af2d7289f50be44b58161e42206a70ec68699963ac30`
MD5	`ab37eed22142158edb5149de4dbf6b2c`
BLAKE2b-256	`077d1b75872ec34f0827b6b642943703978ea40dc542d7edc875c9adf4c538af`

See more details on using hashes here.

Provenance

File details

Details for the file paddle_bfloat-0.1.6-cp36-cp36m-win32.whl.

File metadata

Download URL: paddle_bfloat-0.1.6-cp36-cp36m-win32.whl
Upload date: May 14, 2022
Size: 34.5 kB
Tags: CPython 3.6m, Windows x86
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.0 CPython/3.8.13

File hashes

Hashes for paddle_bfloat-0.1.6-cp36-cp36m-win32.whl
Algorithm	Hash digest
SHA256	`3df8cd1b25e0560d53cfe3a11fbaf4a5fc43da9ddc4f63b22d6d302dc7f2d8cd`
MD5	`70b7fabb2c9a71192fd61c126dc10b18`
BLAKE2b-256	`ae806217503ca4f4e4438a22dd1ecad246af35e52f3c1f14893691cc6f9a81e3`

See more details on using hashes here.

Provenance

File details

Details for the file paddle_bfloat-0.1.6-cp36-cp36m-musllinux_1_1_x86_64.whl.

File metadata

Download URL: paddle_bfloat-0.1.6-cp36-cp36m-musllinux_1_1_x86_64.whl
Upload date: May 14, 2022
Size: 934.7 kB
Tags: CPython 3.6m, musllinux: musl 1.1+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.0 CPython/3.8.13

File hashes

Hashes for paddle_bfloat-0.1.6-cp36-cp36m-musllinux_1_1_x86_64.whl
Algorithm	Hash digest
SHA256	`0254aefaa1b725dd8f738d0180fb652e07774b73f72c4ba056b8e7a316f22f1f`
MD5	`b4226712474906b0dd7636affb6faa8e`
BLAKE2b-256	`e2cc65a3a30f0e913eeae02285de7a781d045fa58b4d140ddef136c4cdcd1602`

See more details on using hashes here.

Provenance

File details

Details for the file paddle_bfloat-0.1.6-cp36-cp36m-musllinux_1_1_i686.whl.

File metadata

Download URL: paddle_bfloat-0.1.6-cp36-cp36m-musllinux_1_1_i686.whl
Upload date: May 14, 2022
Size: 957.2 kB
Tags: CPython 3.6m, musllinux: musl 1.1+ i686
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.0 CPython/3.8.13

File hashes

Hashes for paddle_bfloat-0.1.6-cp36-cp36m-musllinux_1_1_i686.whl
Algorithm	Hash digest
SHA256	`9dea2f4807b1e5c4aeec393bcbdd4300d2ecf3b80069d741576cb864e083e598`
MD5	`d9dedf971a8b0ef79954edfdf85388e7`
BLAKE2b-256	`3747a2cff3e9b771ab9fab206de730cf432b691607506d2035fdb31b9d392973`

See more details on using hashes here.

Provenance

File details

Details for the file paddle_bfloat-0.1.6-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

Download URL: paddle_bfloat-0.1.6-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Upload date: May 14, 2022
Size: 394.9 kB
Tags: CPython 3.6m, manylinux: glibc 2.17+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.0 CPython/3.8.13

File hashes

Hashes for paddle_bfloat-0.1.6-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`12e6a42332dc7a9ca6d1e5fd67c334d895d16c098cab331c2ad59d71a4faf835`
MD5	`e59de67e4db08a5a9c826a29fb85efe9`
BLAKE2b-256	`9d251743035e90f82af8837c3b05efce9f7d105b40b36e01959f0c13eadf7b1f`

See more details on using hashes here.

Provenance

File details

Details for the file paddle_bfloat-0.1.6-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

Download URL: paddle_bfloat-0.1.6-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Upload date: May 14, 2022
Size: 373.0 kB
Tags: CPython 3.6m, manylinux: glibc 2.17+ i686, manylinux: glibc 2.5+ i686
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.0 CPython/3.8.13

File hashes

Hashes for paddle_bfloat-0.1.6-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm	Hash digest
SHA256	`13ec0e60d4dc8f6c09aaf21c20acd28f5357b377d79c630e0e7e7441d2fb069a`
MD5	`b7cf10b56d649d8ad7b440cf466df237`
BLAKE2b-256	`3c3b3ea073dbf31bdb49431dd6a67ffee9583ce83489d15354af65046d9d1d8b`

See more details on using hashes here.

Provenance

File details

Details for the file paddle_bfloat-0.1.6-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

Download URL: paddle_bfloat-0.1.6-cp36-cp36m-macosx_10_9_x86_64.whl
Upload date: May 14, 2022
Size: 44.8 kB
Tags: CPython 3.6m, macOS 10.9+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.0 CPython/3.8.13

File hashes

Hashes for paddle_bfloat-0.1.6-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`b702c1fbfbef2d766a3851cd6b1c3c7d6e1140b665e09f239ae523cd4b2c2b84`
MD5	`25f883d9694b092ad7e9e3051959dba3`
BLAKE2b-256	`1e8161a1ed5ca0c70b585b84a4f918df100188fe28ac6856b8d5dff57cf9a371`

See more details on using hashes here.

paddle-bfloat 0.1.6

Navigation

Verified details

Maintainers

Unverified details

Meta

Project description

Project details

Verified details

Maintainers

Unverified details

Meta

Release history Release notifications | RSS feed

Download files

Source Distribution

Built Distributions

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance