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package:lib-tensorflow-2.1.0-src-cuda (v3.0.0)
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Copyright: See copyright in the source repository
License: See license in the source repository
Creation date: 2020-04-03
Source: GitHub
cID: 1dc07ee0f4742028:0a40ebb99749d99f

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Description  

This meta package is our attempt to provide a unified Python API, CLI and JSON meta description for different package managers and building tools to automatically download and install different components (models, data sets, libraries, frameworks, tools) necessary to run portable program pipelines across evolving platforms. Our on-going project is to make the onboarding process as simple as possible via this platform. Please check this CK white paper and don't hesitate to contact us if you have suggestions or feedback!

Dependencies    

ReadMe  

Install dependencies on Ubuntu

https://www.tensorflow.org/install/install_sources

Install Python 3 (recommended) or Python 2

$ sudo apt-get install libcupti-dev
$ sudo apt-get install python-dev python-pip python-wheel

Install Python packages (in user-space)

python -m pip install --user absl-py==0.8.0              # >=0.7.0
python -m pip install --user astor==0.7.1                # >=0.6.0
python -m pip install --user cachetools==4.0.0           # <5.0,>=2.0.0
python -m pip install --user gast==0.2.2                 # ==0.2.2 (exact)
python -m pip install --user google-auth==1.13.1         # <2,>=1.6.3
python -m pip install --user google-auth-oauthlib==0.4.1 # <0.5,>=0.4.1
python -m pip install --user google-pasta==0.2.0         # >=0.1.6
python -m pip install --user grpcio==1.27.2              # >=1.8.6
python -m pip install --user h5py==2.10.0                # exact?
python -m pip install --user keras-applications==1.0.8   # >=1.0.8
python -m pip install --user keras-preprocessing==1.1.0  # >=1.0.5
python -m pip install --user markdown==3.2.1             # >=2.6.8
python -m pip install --user numpy==1.18.2               # <2.0,>=1.16.0
python -m pip install --user oauthlib==3.1.0             # ?
python -m pip install --user opt-einsum==3.2.0           # >=2.3.2
python -m pip install --user protobuf==3.11.3            # >=3.8.0
python -m pip install --user pyasn1==0.4.8               # <0.5.0,>=0.4.6
python -m pip install --user pyasn1-modules==0.2.8       # >=0.2.1
python -m pip install --user requests==2.23.0            # <3,>=2.21.0
python -m pip install --user requests-oauthlib==1.3.0    # >=0.7.0
python -m pip install --user rsa==4.0                    # <4.1,>=3.1.4
python -m pip install --user scipy==1.4.1                # ==1.4.1 (exact)
python -m pip install --user setuptools==46.1.3          # >=41.0.0
python -m pip install --user six==1.14.0                 # >=1.12.0
python -m pip install --user tensorboard==2.1.1          # <2.2.0,>=2.1.0 (almost exact)
python -m pip install --user tensorflow-estimator==2.1.0 # <2.2.0,>=2.1.0 (almost exact)
python -m pip install --user termcolor==1.1.0            # >=1.1.0
python -m pip install --user wheel==0.30.0               # >=0.26
python -m pip install --user werkzeug==1.0.1             # >=0.11.15
python -m pip install --user wrapt==1.11.2               # >=1.11.1

NB: Hint install prebuilt TensorFlow via pip to check all suitable dependencies:

$ python -m pip install tensorflow==2.1.0

Prevent running out of memory

To prevent running out of memory during a build, restrict the build to use e.g. 1 processor:

$ ck install package:lib-tensorflow-2.1.0-src-cuda --env.CK_HOST_CPU_NUMBER_OF_PROCESSORS=1

Known issues

Build fails with TensorRT 6 and 7

https://github.com/tensorflow/tensorflow/issues/37076

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