Environment establishment

[Dingyuan-Zheng]

I'm a newbie in Tensorflow. Currently, I'm trying to run the demo (Demo.ipynb) given in the source code. But I can't install Tensorflow (using the method: 'install from source' given in the Tensorflow official website) inside the Conda environment. Specifically, after I git clone from the repository (https://github.com/trigeorgis/tensorflow), I can't pass the configure operation (./configure), could you give me a detailed manual for the environment configuration? I've installed menpo package under Conda environment, what should I do next? How can I install Tensforflow from your repository into Conda environment, then I can import both Tensorflow and menpo libraries at the same time.

[HuitingLiu]

Same here. Following the instructions: https://www.tensorflow.org/install/install_sources

There are two errors: bazel build --config=opt //tensorflow/tools/pip_package:build_pip_package ERROR: tensorflow/tensorflow/tensorflow.bzl:476:19: name 'DATA_CFG' is not defined. ERROR: error loading package '': Extension 'tensorflow/tensorflow.bzl' has errors.

[superphil0]

Had the same problem make sure you use the bazel version which was used at the time to 0.8 was released. Same for protobuf versions and all other dependencies

[qiexing]

@HuitingLiu I have the exactly same problem as you, did you solve this problem?

[euklid]

same here. Probably would be best if the changes applied to the older tensorflow version could be ported to a newer version of tensorflow. However, I'm not familiar with tensorflow at all, but wanted to try this code...

[zhm1995]

@HuitingLiu Hello？ I have the same problem with you. Have you solved this problem?

[trigeorgis]

You can try the implementation provided at the experimental branch, but unfortunately it doesn't come with a pretrained model.

[devvikas]

@trigeorgis You can try the implementation provided at the experimental branch, but unfortunately it doesn't come with a pretrained model.

Which branch are you talking about here ?