tensorflow-rocm@1.15.10

TensorFlow is an open source machine learning framework for everyone.

2021-03-29 Python >=3.9 wheel

安装 (1.15.10)

pip install tensorflow-rocm==1.15.10

poetry add tensorflow-rocm==1.15.10

pipenv install tensorflow-rocm==1.15.10

conda install tensorflow-rocm=1.15.10

依赖 (35)

依赖
`absl-py (>=1.0.0)`
`astunparse (>=1.6.0)`
`flatbuffers (>=23.5.26)`
`gast (!=0.5.0,!=0.5.1,!=0.5.2,>=0.2.1)`
`google-pasta (>=0.1.1)`
`h5py (>=2.9.0)`
`libclang (>=13.0.0)`
`ml-dtypes (==0.2.0)`
`numpy (>=1.23.5)`
`opt-einsum (>=2.3.2)`
`packaging`
`protobuf (!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3)`
`setuptools`
`six (>=1.12.0)`
`termcolor (>=1.1.0)`
`typing-extensions (>=3.6.6)`
`wrapt (<1.15,>=1.11.0)`
`tensorflow-io-gcs-filesystem (>=0.23.1)`
`grpcio (<2.0,>=1.24.3)`
`tensorboard (<2.15,>=2.14)`
`tensorflow-estimator (<2.15,>=2.14.0)`
`keras (<2.15,>=2.14.0)`
`tensorflow-cpu-aws (==2.14.0.600) ; platform_system == "Linux" and (platform_machine == "arm64" or platform_machine == "aarch64")`
`tensorflow-intel (==2.14.0.600) ; platform_system == "Windows"`
`nvidia-cuda-runtime-cu11 (==11.8.89) ; extra == 'and-cuda'`
`nvidia-cublas-cu11 (==11.11.3.6) ; extra == 'and-cuda'`
`nvidia-cufft-cu11 (==10.9.0.58) ; extra == 'and-cuda'`
`nvidia-cudnn-cu11 (==8.7.0.84) ; extra == 'and-cuda'`
`nvidia-curand-cu11 (==10.3.0.86) ; extra == 'and-cuda'`
`nvidia-cusolver-cu11 (==11.4.1.48) ; extra == 'and-cuda'`
`nvidia-cusparse-cu11 (==11.7.5.86) ; extra == 'and-cuda'`
`nvidia-nccl-cu11 (==2.16.5) ; extra == 'and-cuda'`
`nvidia-cuda-cupti-cu11 (==11.8.87) ; extra == 'and-cuda'`
`nvidia-cuda-nvcc-cu11 (==11.8.89) ; extra == 'and-cuda'`
`tensorrt (==8.5.3.1) ; extra == 'and-cuda'`

下载文件

文件名	类型	Python 版本	大小
tensorflow_rocm-1.15.10-cp36-cp36m-manylinux1_x86_64.whl	bdist_wheel	`cp36`	269192122 bytes
tensorflow_rocm-1.15.10-cp37-cp37m-manylinux1_x86_64.whl	bdist_wheel	`cp37`	269192015 bytes
tensorflow_rocm-1.15.10-cp38-cp38-manylinux1_x86_64.whl	bdist_wheel	`cp38`	269200072 bytes

版本列表

2.14.0.600 2024-01-10

2.13.1.600 2024-01-10

2.13.0.570 2023-10-04

2.12.1.600 2024-01-10

2.12.1.570 2023-10-04

2.12.0.560 2023-07-09

2.11.1.550 2023-05-10

2.11.0.540 2022-12-06

2.11.0.530 2022-11-29

2.10.1.550 2023-05-10

2.10.1.540 2022-12-06

2.10.0.530 2022-10-12

2.10.0.520 2022-09-21

2.9.4 2022-12-06

2.9.3 2022-10-12

2.9.2 2022-07-11

2.9.1 2022-06-05

2.8.4 2022-10-12

2.8.3 2022-07-11

2.8.2 2022-06-05

2.8.1 2022-04-11

2.8.0 2022-03-03

2.7.4 2022-07-11

2.7.3 2022-06-05

2.7.2 2022-04-11

2.7.1 2022-02-17

2.7.0 2021-12-17

2.6.4 2022-04-11

2.6.3 2022-02-17

2.6.2 2021-10-15

2.6.0 2021-10-13

2.6.0.post1 2021-10-13

2.5.0 2021-08-16

2.4.3 2021-05-21

2.4.2 2021-04-11

2.4.1 2021-03-29

2.4.0 2020-12-22

2.3.7 2021-05-21

2.3.6 2021-04-11

2.3.5 2021-03-29

2.3.4 2020-12-22

2.3.3 2020-12-08

2.3.2 2020-10-30

2.3.1 2020-09-24

2.3.0 2020-08-24

2.2.0 2020-06-04

2.1.6 2020-12-08

2.1.5 2020-10-30

2.1.4 2020-09-24

2.1.3 2020-08-24

2.1.2 2020-06-04

2.1.1 2020-04-03

2.0.0 2019-10-10

1.15.12 2021-05-21

1.15.11 2021-04-11

1.15.10 2021-03-29

1.15.9 2020-12-22

1.15.8 2020-12-08

1.15.7 2020-10-30

1.15.6 2020-09-24

1.15.5 2020-08-24

1.15.4 2020-06-04

1.15.3 2020-04-03

1.15.2 2020-02-28

1.15.1 2019-12-20

1.15.0 2019-12-12

0.0.1