Repo symbol

tensorflow_ros_cpp repository

Repo symbol

tensorflow_ros_cpp repository

Repo symbol

tensorflow_ros_cpp repository

Repo symbol

tensorflow_ros_cpp repository

Repo symbol

tensorflow_ros_cpp repository

Repo symbol

tensorflow_ros_cpp repository

Repo symbol

tensorflow_ros_cpp repository

Repo symbol

tensorflow_ros_cpp repository

Repo symbol

tensorflow_ros_cpp repository

Repo symbol

tensorflow_ros_cpp repository

Repo symbol

tensorflow_ros_cpp repository

Repo symbol

tensorflow_ros_cpp repository

Repo symbol

tensorflow_ros_cpp repository

Repo symbol

tensorflow_ros_cpp repository

Repo symbol

tensorflow_ros_cpp repository

tensorflow_ros_cpp

Repository Summary

Checkout URI https://github.com/tradr-project/tensorflow_ros_cpp.git
VCS Type git
VCS Version master
Last Updated 2022-06-08
Dev Status MAINTAINED
CI status No Continuous Integration
Released UNRELEASED
Tags No category tags.
Contributing Help Wanted (0)
Good First Issues (0)
Pull Requests to Review (0)

Packages

Name Version
tensorflow_ros_cpp 3.2.0

README

tensorflow_ros_cpp

Build Status

A Catkin-friendly package for utilizing the C++ API of Tensorflow.

Get Tensorflow C++ API into ROS as easy as

find_package(catkin REQUIRED COMPONENTS
  ... your other packages ...
  tensorflow_ros_cpp
)

See the usage example at [https://github.com/tradr-project/tensorflow_ros_test].

New: Support for Noetic and TensorFlow 2.x!

Supported Tensorflow installations

You can choose either one of the following options to install Tensorflow.

  • As a pip (Python) package: The easiest way on Ubuntu 14.04 and 20.04, Just pip install tensorflow and that’s it. GPU version supported! Can be used on Ubuntu 16.04 and 18.04, too, but with important limitations.
  • Using tensorflow_catkin package: Easily compile Tensorflow for your platform. A convenient way on newer systems. Supports GPU version.
  • Using a custom build of Tensorflow built by bazel: The least comfortable, yet most powerful way. Compile Tensorflow yourself using bazel and tell this package where to find it.

See below for more detail about each of the installation types and how to set them up.

Note for rosdep users

If you’re managing dependencies via rosdep, it is likely that you do not want it to try to install the optional dependencies (currently python-tensorflow-pip and tensorflow_catkin). In such case, add the following to the rosdep call:

rosdep install ... --skip-keys=tensorflow_catkin --skip-keys=python-tensorflow-pip

Tested compatible versions

If you successfully used this package on an untested configuration (marked with ?), please, tell us.

Ubuntu 14.04 64bits, Python 2.7.6, ROS Indigo

TF CUDA CUDNN pip tensorflow pip tensorflow-gpu bazel (CPU) bazel (GPU) tensorflow_catkin (CPU) tensorflow_catkin (GPU)
0.12.1 no no ? ? N/A N/A
1.0.0 no no ? ? N/A N/A
1.1.0 8 5 ? ? N/A N/A
1.2.0 8 5 ? ? N/A N/A
1.3.0 8 6 ? ? N/A N/A
1.4.0 8 6 N/A (wants CUDA 9) ? ? N/A N/A
1.5.0 8 6 N/A (wants CUDA 9) ? ? N/A N/A
1.6.0 8 6 N/A (wants CUDA 9) ? ? N/A N/A
1.7.0 8 6 N/A (wants CUDA 9)
1.8.0 8 6 N/A (wants CUDA 9) ? ? N/A N/A
1.14.0 8 6 N/A (wants CUDA 10) ? ? N/A N/A
1.15.0 8 6 X (link error) N/A (wants CUDA 10) ? ? N/A N/A

Ubuntu 14.04 64bits, Python 3.4, ROS Indigo

Had to set TF_PYTHON_LIBRARY manually since CMake was only finding Python 2.7 libraries.

TF CUDA pip3 tensorflow pip3 tensorflow-gpu
1.8.0 8 N/A (wants CUDA 9)

Ubuntu 16.04 64bits, Python 2.7.6, ROS Kinetic

TF CUDA CUDNN pip tensorflow pip tensorflow-gpu bazel (CPU) bazel (GPU) tensorflow_catkin (CPU) tensorflow_catkin (GPU)
0.12.1 8.0 no ✓, see ABI difference problems ✓, see ABI difference problems ? ? N/A N/A
1.0.0 8.0 5.0 ✓, see ABI difference problems ✓, see ABI difference problems ? ? N/A N/A
1.1.0 8.0 5.0 ✓, see ABI difference problems ✓, see ABI difference problems ? ? N/A N/A
1.2.0 8.0 5.0 ✓, see ABI difference problems ✓, see ABI difference problems ? ? N/A N/A
1.3.0 8.0 6.0 ✓, see ABI difference problems ✓, see ABI difference problems ? ? N/A N/A
1.4.0 8.0 6.0 ✓, see ABI difference problems ✓, see ABI difference problems ? ? N/A N/A
1.5.0 9.0 7.0 ✓, see ABI difference problems ✓, see ABI difference problems ? ? N/A N/A
1.6.0 9.0 7.0 ✓, see ABI difference problems ✓, see ABI difference problems ? ? N/A N/A
1.7.0 9.0 7.0 ✓, see ABI difference problems ✓, see ABI difference problems
1.8.0 9.0 7.0 ✓, see ABI difference problems ✓, see ABI difference problems N/A N/A
1.14.0 9.0 7.0 ✓, see ABI difference problems N/A (wants CUDA 10) ? ? N/A N/A
1.15.0 9.0 7.0 ✓, see ABI difference problems N/A (wants CUDA 10) ? ? N/A N/A

Ubuntu 16.04 64bits, Python 3.5, ROS Kinetic

Had to set TF_PYTHON_LIBRARY manually since CMake was only finding Python 2.7 libraries.

TF CUDA CUDNN pip3 tensorflow pip3 tensorflow-gpu
1.8.0 9.0 7.0 ✓, see ABI difference problems ✓, see ABI difference problems

Ubuntu 18.04 64bits, Python 2.7.6, ROS Melodic

TF CUDA CUDNN pip tensorflow pip tensorflow-gpu bazel (CPU) bazel (GPU) tensorflow_catkin (CPU) tensorflow_catkin (GPU)
1.0.0 8.0 5.0 ✓, see ABI difference problems ? ? ? N/A N/A
1.1.0 8.0 5.0 ✓, see ABI difference problems ? ? ? N/A N/A
1.2.0 8.0 5.0 ✓, see ABI difference problems ? ? ? N/A N/A
1.3.0 8.0 6.0 ✓, see ABI difference problems ? ? ? N/A N/A
1.4.0 8.0 6.0 ✓, see ABI difference problems ? ? ? N/A N/A
1.5.0 9.0 7.1 ✓, see ABI difference problems ✓, see ABI difference problems ? ? N/A N/A
1.6.0 9.0 7.1 ✓, see ABI difference problems ✓, see ABI difference problems ? ? N/A N/A

File truncated at 100 lines see the full file

Repo symbol

tensorflow_ros_cpp repository

Repo symbol

tensorflow_ros_cpp repository

tensorflow_ros_cpp

Repository Summary

Checkout URI https://github.com/tradr-project/tensorflow_ros_cpp.git
VCS Type git
VCS Version master
Last Updated 2022-06-08
Dev Status MAINTAINED
CI status No Continuous Integration
Released UNRELEASED
Tags No category tags.
Contributing Help Wanted (0)
Good First Issues (0)
Pull Requests to Review (0)

Packages

Name Version
tensorflow_ros_cpp 3.2.0

README

tensorflow_ros_cpp

Build Status

A Catkin-friendly package for utilizing the C++ API of Tensorflow.

Get Tensorflow C++ API into ROS as easy as

find_package(catkin REQUIRED COMPONENTS
  ... your other packages ...
  tensorflow_ros_cpp
)

See the usage example at [https://github.com/tradr-project/tensorflow_ros_test].

New: Support for Noetic and TensorFlow 2.x!

Supported Tensorflow installations

You can choose either one of the following options to install Tensorflow.

  • As a pip (Python) package: The easiest way on Ubuntu 14.04 and 20.04, Just pip install tensorflow and that’s it. GPU version supported! Can be used on Ubuntu 16.04 and 18.04, too, but with important limitations.
  • Using tensorflow_catkin package: Easily compile Tensorflow for your platform. A convenient way on newer systems. Supports GPU version.
  • Using a custom build of Tensorflow built by bazel: The least comfortable, yet most powerful way. Compile Tensorflow yourself using bazel and tell this package where to find it.

See below for more detail about each of the installation types and how to set them up.

Note for rosdep users

If you’re managing dependencies via rosdep, it is likely that you do not want it to try to install the optional dependencies (currently python-tensorflow-pip and tensorflow_catkin). In such case, add the following to the rosdep call:

rosdep install ... --skip-keys=tensorflow_catkin --skip-keys=python-tensorflow-pip

Tested compatible versions

If you successfully used this package on an untested configuration (marked with ?), please, tell us.

Ubuntu 14.04 64bits, Python 2.7.6, ROS Indigo

TF CUDA CUDNN pip tensorflow pip tensorflow-gpu bazel (CPU) bazel (GPU) tensorflow_catkin (CPU) tensorflow_catkin (GPU)
0.12.1 no no ? ? N/A N/A
1.0.0 no no ? ? N/A N/A
1.1.0 8 5 ? ? N/A N/A
1.2.0 8 5 ? ? N/A N/A
1.3.0 8 6 ? ? N/A N/A
1.4.0 8 6 N/A (wants CUDA 9) ? ? N/A N/A
1.5.0 8 6 N/A (wants CUDA 9) ? ? N/A N/A
1.6.0 8 6 N/A (wants CUDA 9) ? ? N/A N/A
1.7.0 8 6 N/A (wants CUDA 9)
1.8.0 8 6 N/A (wants CUDA 9) ? ? N/A N/A
1.14.0 8 6 N/A (wants CUDA 10) ? ? N/A N/A
1.15.0 8 6 X (link error) N/A (wants CUDA 10) ? ? N/A N/A

Ubuntu 14.04 64bits, Python 3.4, ROS Indigo

Had to set TF_PYTHON_LIBRARY manually since CMake was only finding Python 2.7 libraries.

TF CUDA pip3 tensorflow pip3 tensorflow-gpu
1.8.0 8 N/A (wants CUDA 9)

Ubuntu 16.04 64bits, Python 2.7.6, ROS Kinetic

TF CUDA CUDNN pip tensorflow pip tensorflow-gpu bazel (CPU) bazel (GPU) tensorflow_catkin (CPU) tensorflow_catkin (GPU)
0.12.1 8.0 no ✓, see ABI difference problems ✓, see ABI difference problems ? ? N/A N/A
1.0.0 8.0 5.0 ✓, see ABI difference problems ✓, see ABI difference problems ? ? N/A N/A
1.1.0 8.0 5.0 ✓, see ABI difference problems ✓, see ABI difference problems ? ? N/A N/A
1.2.0 8.0 5.0 ✓, see ABI difference problems ✓, see ABI difference problems ? ? N/A N/A
1.3.0 8.0 6.0 ✓, see ABI difference problems ✓, see ABI difference problems ? ? N/A N/A
1.4.0 8.0 6.0 ✓, see ABI difference problems ✓, see ABI difference problems ? ? N/A N/A
1.5.0 9.0 7.0 ✓, see ABI difference problems ✓, see ABI difference problems ? ? N/A N/A
1.6.0 9.0 7.0 ✓, see ABI difference problems ✓, see ABI difference problems ? ? N/A N/A
1.7.0 9.0 7.0 ✓, see ABI difference problems ✓, see ABI difference problems
1.8.0 9.0 7.0 ✓, see ABI difference problems ✓, see ABI difference problems N/A N/A
1.14.0 9.0 7.0 ✓, see ABI difference problems N/A (wants CUDA 10) ? ? N/A N/A
1.15.0 9.0 7.0 ✓, see ABI difference problems N/A (wants CUDA 10) ? ? N/A N/A

Ubuntu 16.04 64bits, Python 3.5, ROS Kinetic

Had to set TF_PYTHON_LIBRARY manually since CMake was only finding Python 2.7 libraries.

TF CUDA CUDNN pip3 tensorflow pip3 tensorflow-gpu
1.8.0 9.0 7.0 ✓, see ABI difference problems ✓, see ABI difference problems

Ubuntu 18.04 64bits, Python 2.7.6, ROS Melodic

TF CUDA CUDNN pip tensorflow pip tensorflow-gpu bazel (CPU) bazel (GPU) tensorflow_catkin (CPU) tensorflow_catkin (GPU)
1.0.0 8.0 5.0 ✓, see ABI difference problems ? ? ? N/A N/A
1.1.0 8.0 5.0 ✓, see ABI difference problems ? ? ? N/A N/A
1.2.0 8.0 5.0 ✓, see ABI difference problems ? ? ? N/A N/A
1.3.0 8.0 6.0 ✓, see ABI difference problems ? ? ? N/A N/A
1.4.0 8.0 6.0 ✓, see ABI difference problems ? ? ? N/A N/A
1.5.0 9.0 7.1 ✓, see ABI difference problems ✓, see ABI difference problems ? ? N/A N/A
1.6.0 9.0 7.1 ✓, see ABI difference problems ✓, see ABI difference problems ? ? N/A N/A

File truncated at 100 lines see the full file

Repo symbol

tensorflow_ros_cpp repository

tensorflow_ros_cpp

Repository Summary

Checkout URI https://github.com/tradr-project/tensorflow_ros_cpp.git
VCS Type git
VCS Version master
Last Updated 2022-06-08
Dev Status MAINTAINED
CI status No Continuous Integration
Released UNRELEASED
Tags No category tags.
Contributing Help Wanted (0)
Good First Issues (0)
Pull Requests to Review (0)

Packages

Name Version
tensorflow_ros_cpp 3.2.0

README

tensorflow_ros_cpp

Build Status

A Catkin-friendly package for utilizing the C++ API of Tensorflow.

Get Tensorflow C++ API into ROS as easy as

find_package(catkin REQUIRED COMPONENTS
  ... your other packages ...
  tensorflow_ros_cpp
)

See the usage example at [https://github.com/tradr-project/tensorflow_ros_test].

New: Support for Noetic and TensorFlow 2.x!

Supported Tensorflow installations

You can choose either one of the following options to install Tensorflow.

  • As a pip (Python) package: The easiest way on Ubuntu 14.04 and 20.04, Just pip install tensorflow and that’s it. GPU version supported! Can be used on Ubuntu 16.04 and 18.04, too, but with important limitations.
  • Using tensorflow_catkin package: Easily compile Tensorflow for your platform. A convenient way on newer systems. Supports GPU version.
  • Using a custom build of Tensorflow built by bazel: The least comfortable, yet most powerful way. Compile Tensorflow yourself using bazel and tell this package where to find it.

See below for more detail about each of the installation types and how to set them up.

Note for rosdep users

If you’re managing dependencies via rosdep, it is likely that you do not want it to try to install the optional dependencies (currently python-tensorflow-pip and tensorflow_catkin). In such case, add the following to the rosdep call:

rosdep install ... --skip-keys=tensorflow_catkin --skip-keys=python-tensorflow-pip

Tested compatible versions

If you successfully used this package on an untested configuration (marked with ?), please, tell us.

Ubuntu 14.04 64bits, Python 2.7.6, ROS Indigo

TF CUDA CUDNN pip tensorflow pip tensorflow-gpu bazel (CPU) bazel (GPU) tensorflow_catkin (CPU) tensorflow_catkin (GPU)
0.12.1 no no ? ? N/A N/A
1.0.0 no no ? ? N/A N/A
1.1.0 8 5 ? ? N/A N/A
1.2.0 8 5 ? ? N/A N/A
1.3.0 8 6 ? ? N/A N/A
1.4.0 8 6 N/A (wants CUDA 9) ? ? N/A N/A
1.5.0 8 6 N/A (wants CUDA 9) ? ? N/A N/A
1.6.0 8 6 N/A (wants CUDA 9) ? ? N/A N/A
1.7.0 8 6 N/A (wants CUDA 9)
1.8.0 8 6 N/A (wants CUDA 9) ? ? N/A N/A
1.14.0 8 6 N/A (wants CUDA 10) ? ? N/A N/A
1.15.0 8 6 X (link error) N/A (wants CUDA 10) ? ? N/A N/A

Ubuntu 14.04 64bits, Python 3.4, ROS Indigo

Had to set TF_PYTHON_LIBRARY manually since CMake was only finding Python 2.7 libraries.

TF CUDA pip3 tensorflow pip3 tensorflow-gpu
1.8.0 8 N/A (wants CUDA 9)

Ubuntu 16.04 64bits, Python 2.7.6, ROS Kinetic

TF CUDA CUDNN pip tensorflow pip tensorflow-gpu bazel (CPU) bazel (GPU) tensorflow_catkin (CPU) tensorflow_catkin (GPU)
0.12.1 8.0 no ✓, see ABI difference problems ✓, see ABI difference problems ? ? N/A N/A
1.0.0 8.0 5.0 ✓, see ABI difference problems ✓, see ABI difference problems ? ? N/A N/A
1.1.0 8.0 5.0 ✓, see ABI difference problems ✓, see ABI difference problems ? ? N/A N/A
1.2.0 8.0 5.0 ✓, see ABI difference problems ✓, see ABI difference problems ? ? N/A N/A
1.3.0 8.0 6.0 ✓, see ABI difference problems ✓, see ABI difference problems ? ? N/A N/A
1.4.0 8.0 6.0 ✓, see ABI difference problems ✓, see ABI difference problems ? ? N/A N/A
1.5.0 9.0 7.0 ✓, see ABI difference problems ✓, see ABI difference problems ? ? N/A N/A
1.6.0 9.0 7.0 ✓, see ABI difference problems ✓, see ABI difference problems ? ? N/A N/A
1.7.0 9.0 7.0 ✓, see ABI difference problems ✓, see ABI difference problems
1.8.0 9.0 7.0 ✓, see ABI difference problems ✓, see ABI difference problems N/A N/A
1.14.0 9.0 7.0 ✓, see ABI difference problems N/A (wants CUDA 10) ? ? N/A N/A
1.15.0 9.0 7.0 ✓, see ABI difference problems N/A (wants CUDA 10) ? ? N/A N/A

Ubuntu 16.04 64bits, Python 3.5, ROS Kinetic

Had to set TF_PYTHON_LIBRARY manually since CMake was only finding Python 2.7 libraries.

TF CUDA CUDNN pip3 tensorflow pip3 tensorflow-gpu
1.8.0 9.0 7.0 ✓, see ABI difference problems ✓, see ABI difference problems

Ubuntu 18.04 64bits, Python 2.7.6, ROS Melodic

TF CUDA CUDNN pip tensorflow pip tensorflow-gpu bazel (CPU) bazel (GPU) tensorflow_catkin (CPU) tensorflow_catkin (GPU)
1.0.0 8.0 5.0 ✓, see ABI difference problems ? ? ? N/A N/A
1.1.0 8.0 5.0 ✓, see ABI difference problems ? ? ? N/A N/A
1.2.0 8.0 5.0 ✓, see ABI difference problems ? ? ? N/A N/A
1.3.0 8.0 6.0 ✓, see ABI difference problems ? ? ? N/A N/A
1.4.0 8.0 6.0 ✓, see ABI difference problems ? ? ? N/A N/A
1.5.0 9.0 7.1 ✓, see ABI difference problems ✓, see ABI difference problems ? ? N/A N/A
1.6.0 9.0 7.1 ✓, see ABI difference problems ✓, see ABI difference problems ? ? N/A N/A

File truncated at 100 lines see the full file

Repo symbol

tensorflow_ros_cpp repository

tensorflow_ros_cpp

Repository Summary

Checkout URI https://github.com/tradr-project/tensorflow_ros_cpp.git
VCS Type git
VCS Version master
Last Updated 2022-06-08
Dev Status MAINTAINED
CI status No Continuous Integration
Released UNRELEASED
Tags No category tags.
Contributing Help Wanted (0)
Good First Issues (0)
Pull Requests to Review (0)

Packages

Name Version
tensorflow_ros_cpp 3.2.0

README

tensorflow_ros_cpp

Build Status

A Catkin-friendly package for utilizing the C++ API of Tensorflow.

Get Tensorflow C++ API into ROS as easy as

find_package(catkin REQUIRED COMPONENTS
  ... your other packages ...
  tensorflow_ros_cpp
)

See the usage example at [https://github.com/tradr-project/tensorflow_ros_test].

New: Support for Noetic and TensorFlow 2.x!

Supported Tensorflow installations

You can choose either one of the following options to install Tensorflow.

  • As a pip (Python) package: The easiest way on Ubuntu 14.04 and 20.04, Just pip install tensorflow and that’s it. GPU version supported! Can be used on Ubuntu 16.04 and 18.04, too, but with important limitations.
  • Using tensorflow_catkin package: Easily compile Tensorflow for your platform. A convenient way on newer systems. Supports GPU version.
  • Using a custom build of Tensorflow built by bazel: The least comfortable, yet most powerful way. Compile Tensorflow yourself using bazel and tell this package where to find it.

See below for more detail about each of the installation types and how to set them up.

Note for rosdep users

If you’re managing dependencies via rosdep, it is likely that you do not want it to try to install the optional dependencies (currently python-tensorflow-pip and tensorflow_catkin). In such case, add the following to the rosdep call:

rosdep install ... --skip-keys=tensorflow_catkin --skip-keys=python-tensorflow-pip

Tested compatible versions

If you successfully used this package on an untested configuration (marked with ?), please, tell us.

Ubuntu 14.04 64bits, Python 2.7.6, ROS Indigo

TF CUDA CUDNN pip tensorflow pip tensorflow-gpu bazel (CPU) bazel (GPU) tensorflow_catkin (CPU) tensorflow_catkin (GPU)
0.12.1 no no ? ? N/A N/A
1.0.0 no no ? ? N/A N/A
1.1.0 8 5 ? ? N/A N/A
1.2.0 8 5 ? ? N/A N/A
1.3.0 8 6 ? ? N/A N/A
1.4.0 8 6 N/A (wants CUDA 9) ? ? N/A N/A
1.5.0 8 6 N/A (wants CUDA 9) ? ? N/A N/A
1.6.0 8 6 N/A (wants CUDA 9) ? ? N/A N/A
1.7.0 8 6 N/A (wants CUDA 9)
1.8.0 8 6 N/A (wants CUDA 9) ? ? N/A N/A
1.14.0 8 6 N/A (wants CUDA 10) ? ? N/A N/A
1.15.0 8 6 X (link error) N/A (wants CUDA 10) ? ? N/A N/A

Ubuntu 14.04 64bits, Python 3.4, ROS Indigo

Had to set TF_PYTHON_LIBRARY manually since CMake was only finding Python 2.7 libraries.

TF CUDA pip3 tensorflow pip3 tensorflow-gpu
1.8.0 8 N/A (wants CUDA 9)

Ubuntu 16.04 64bits, Python 2.7.6, ROS Kinetic

TF CUDA CUDNN pip tensorflow pip tensorflow-gpu bazel (CPU) bazel (GPU) tensorflow_catkin (CPU) tensorflow_catkin (GPU)
0.12.1 8.0 no ✓, see ABI difference problems ✓, see ABI difference problems ? ? N/A N/A
1.0.0 8.0 5.0 ✓, see ABI difference problems ✓, see ABI difference problems ? ? N/A N/A
1.1.0 8.0 5.0 ✓, see ABI difference problems ✓, see ABI difference problems ? ? N/A N/A
1.2.0 8.0 5.0 ✓, see ABI difference problems ✓, see ABI difference problems ? ? N/A N/A
1.3.0 8.0 6.0 ✓, see ABI difference problems ✓, see ABI difference problems ? ? N/A N/A
1.4.0 8.0 6.0 ✓, see ABI difference problems ✓, see ABI difference problems ? ? N/A N/A
1.5.0 9.0 7.0 ✓, see ABI difference problems ✓, see ABI difference problems ? ? N/A N/A
1.6.0 9.0 7.0 ✓, see ABI difference problems ✓, see ABI difference problems ? ? N/A N/A
1.7.0 9.0 7.0 ✓, see ABI difference problems ✓, see ABI difference problems
1.8.0 9.0 7.0 ✓, see ABI difference problems ✓, see ABI difference problems N/A N/A
1.14.0 9.0 7.0 ✓, see ABI difference problems N/A (wants CUDA 10) ? ? N/A N/A
1.15.0 9.0 7.0 ✓, see ABI difference problems N/A (wants CUDA 10) ? ? N/A N/A

Ubuntu 16.04 64bits, Python 3.5, ROS Kinetic

Had to set TF_PYTHON_LIBRARY manually since CMake was only finding Python 2.7 libraries.

TF CUDA CUDNN pip3 tensorflow pip3 tensorflow-gpu
1.8.0 9.0 7.0 ✓, see ABI difference problems ✓, see ABI difference problems

Ubuntu 18.04 64bits, Python 2.7.6, ROS Melodic

TF CUDA CUDNN pip tensorflow pip tensorflow-gpu bazel (CPU) bazel (GPU) tensorflow_catkin (CPU) tensorflow_catkin (GPU)
1.0.0 8.0 5.0 ✓, see ABI difference problems ? ? ? N/A N/A
1.1.0 8.0 5.0 ✓, see ABI difference problems ? ? ? N/A N/A
1.2.0 8.0 5.0 ✓, see ABI difference problems ? ? ? N/A N/A
1.3.0 8.0 6.0 ✓, see ABI difference problems ? ? ? N/A N/A
1.4.0 8.0 6.0 ✓, see ABI difference problems ? ? ? N/A N/A
1.5.0 9.0 7.1 ✓, see ABI difference problems ✓, see ABI difference problems ? ? N/A N/A
1.6.0 9.0 7.1 ✓, see ABI difference problems ✓, see ABI difference problems ? ? N/A N/A

File truncated at 100 lines see the full file