About the Bazel configuration session for building GPU-enabled TensorFlow

[YTGhost]

Hey, i want to GPU-enabled version of TensorFlow, but i not seen the configuration session for building the GPU-enabled version in FAQ section, I guess you may have forgotten to add it.
And also i want to ask you about the Python library paths, my default is tensorflow1\models\research\slim, also i have the like lib\site-packages path in the "Found possible Python library paths", should i change my default path?

[EdjeElectronics]

Hello! I still haven't gotten around to adding the build configuration session for TensorFlow-GPU. In the meantime, there's a sample build configuration session for TensorFlow-GPU at: https://www.tensorflow.org/install/source_windows#configure_the_build

You don't need to change the default path variables. You just need to create a PYTHONPATH variable using the set PYTHONPATH command. This won't interfere with your other Python paths which are included in the system PATH variable by default.

I will close this issue when I get the GPU build session added!

[HaFred]

Hey, i want to GPU-enabled version of TensorFlow, but i not seen the configuration session for building the GPU-enabled version in FAQ section, I guess you may have forgotten to add it.
And also i want to ask you about the Python library paths, my default is tensorflow1\models\research\slim, also i have the like lib\site-packages path in the "Found possible Python library paths", should i change my default path?

Isn't this one already GPU-enabled? I mean when running the train.py, the GPU training is activated actually in my case.

[YTGhost]

Hey, i want to GPU-enabled version of TensorFlow, but i not seen the configuration session for building the GPU-enabled version in FAQ section, I guess you may have forgotten to add it.
And also i want to ask you about the Python library paths, my default is tensorflow1\models\research\slim, also i have the like lib\site-packages path in the "Found possible Python library paths", should i change my default path?

Isn't this one already GPU-enabled? I mean when running the train.py, the GPU training is activated actually in my case.

we run the train.py in the environment call tensorflow1, which we have the tensorflow-GPU. But in tensorflow-build environment, we should build another one in this environment.

[EdjeElectronics]

Closing due to inactivity.