tensorflow-rocm2.14.0.600
tensorflow-rocm2.14.0.600
Published
TensorFlow is an open source machine learning framework for everyone.
pip install tensorflow-rocm
Package Downloads
Authors
Requires Python
>=3.9
Dependencies
- 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'
TensorFlow is an open source software library for high performance numerical computation. Its flexible architecture allows easy deployment of computation across a variety of platforms (CPUs, GPUs, TPUs), and from desktops to clusters of servers to mobile and edge devices.
Originally developed by researchers and engineers from the Google Brain team within Google's AI organization, it comes with strong support for machine learning and deep learning and the flexible numerical computation core is used across many other scientific domains. TensorFlow is licensed under Apache 2.0.