Jul-04-2018, 06:26 PM
[non cuda version]
this is all about your video chip/card and CPU compatibility with TF VERSION! Current version of Tensor Flow is 1.8 and it crashes on both my machines.
I have a win7 Gateway notebook using an I5 CPU and intel video chip. I have a desktop win7 unit with AMD Phenom II and AMD Radeon HD5450 video card. The I5 notebook requires V1.6 of TensorFlow and the desktop AMD unit takes V1.5. I don't have a GPU available for running ANN's so I don't know how that would affect it.
Here's the command line for PIP install: pip install --upgrade tensorflow==1.5.0 (or whatever other version you need). This will uninstall your current version and then install the indicated version.
Build or copy a small TensorFlow script and run it. Open a second command window and install a different version. I'd recommend starting at 1.5 and working your way up.
this is all about your video chip/card and CPU compatibility with TF VERSION! Current version of Tensor Flow is 1.8 and it crashes on both my machines.
I have a win7 Gateway notebook using an I5 CPU and intel video chip. I have a desktop win7 unit with AMD Phenom II and AMD Radeon HD5450 video card. The I5 notebook requires V1.6 of TensorFlow and the desktop AMD unit takes V1.5. I don't have a GPU available for running ANN's so I don't know how that would affect it.
Here's the command line for PIP install: pip install --upgrade tensorflow==1.5.0 (or whatever other version you need). This will uninstall your current version and then install the indicated version.
Build or copy a small TensorFlow script and run it. Open a second command window and install a different version. I'd recommend starting at 1.5 and working your way up.