cupy-cuda91@7.1.0

CuPy: NumPy-like API accelerated with CUDA

2020-01-16 Python >=3.5.0 wheel

pip install cupy-cuda91==7.1.0

poetry add cupy-cuda91==7.1.0

pipenv install cupy-cuda91==7.1.0

conda install cupy-cuda91=7.1.0

依赖
`numpy (>=1.9.0)`
`six (>=1.9.0)`
`fastrlock (>=0.3)`
`pytest (<4.2.0) ; extra == 'appveyor'`
`attrs (<19.2.0) ; extra == 'appveyor'`
`mock ; extra == 'appveyor'`
`sphinx (==3.0.4) ; extra == 'docs'`
`sphinx-rtd-theme ; extra == 'docs'`
`matplotlib ; extra == 'doctest'`
`pytest (<4.2.0) ; extra == 'jenkins'`
`attrs (<19.2.0) ; extra == 'jenkins'`
`mock ; extra == 'jenkins'`
`pytest-timeout ; extra == 'jenkins'`
`pytest-cov ; extra == 'jenkins'`
`coveralls ; extra == 'jenkins'`
`codecov ; extra == 'jenkins'`
`fastrlock (>=0.3) ; extra == 'setup'`
`autopep8 (==1.4.4) ; extra == 'stylecheck'`
`flake8 (==3.7.9) ; extra == 'stylecheck'`
`pbr (==4.0.4) ; extra == 'stylecheck'`
`pycodestyle (==2.5.0) ; extra == 'stylecheck'`
`pytest (<4.2.0) ; extra == 'test'`
`attrs (<19.2.0) ; extra == 'test'`
`mock ; extra == 'test'`
`autopep8 (==1.4.4) ; extra == 'travis'`
`flake8 (==3.7.9) ; extra == 'travis'`
`pbr (==4.0.4) ; extra == 'travis'`
`pycodestyle (==2.5.0) ; extra == 'travis'`
`sphinx (==3.0.4) ; extra == 'travis'`
`sphinx-rtd-theme ; extra == 'travis'`

文件名	类型	Python 版本	大小
cupy_cuda91-7.1.0-cp35-cp35m-manylinux1_x86_64.whl	bdist_wheel	`cp35`	308527745 bytes
cupy_cuda91-7.1.0-cp36-cp36m-manylinux1_x86_64.whl	bdist_wheel	`cp36`	308625518 bytes
cupy_cuda91-7.1.0-cp36-cp36m-win_amd64.whl	bdist_wheel	`cp36`	235482677 bytes
cupy_cuda91-7.1.0-cp37-cp37m-manylinux1_x86_64.whl	bdist_wheel	`cp37`	308650287 bytes
cupy_cuda91-7.1.0-cp37-cp37m-win_amd64.whl	bdist_wheel	`cp37`	235484743 bytes
cupy_cuda91-7.1.0-cp38-cp38-manylinux1_x86_64.whl	bdist_wheel	`cp38`	308692861 bytes
cupy_cuda91-7.1.0-cp38-cp38-win_amd64.whl	bdist_wheel	`cp38`	235567845 bytes

7.8.0 2020-08-18

7.7.0 2020-07-30

7.6.0 2020-06-25

7.5.0 2020-05-29

7.4.0 2020-04-23

7.3.0 2020-03-22

7.2.0 2020-02-14

7.1.1 2020-01-22

7.1.0 2020-01-16

7.0.0 2019-12-05

6.7.0 2020-01-16

6.6.0 2019-12-05

6.5.0 2019-10-25

6.4.0 2019-09-26

6.3.0 2019-08-22

6.2.0 2019-07-18

6.1.0 2019-06-21

6.0.0 2019-05-16

5.4.0 2019-04-04

5.3.0 2019-02-28

5.2.0 2019-01-24

5.1.0 2018-12-03

5.0.0 2018-10-25

4.5.0 2018-09-27

4.4.1 2018-09-04

4.4.0 2018-08-23

4.3.0 2018-07-19

4.2.0 2018-06-21

4.1.0 2018-05-24

4.0.0 2018-04-17