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Yes, it has - I didn't have any other problems, but I did notice you recommending the usage of `pip install -r requirements.txt`. I am by no means an expert in
by turndown 7y ago
Yes, it has - I didn't have any other problems, but I did notice you recommending the usage of `pip install -r requirements.txt`. I am by no means an expert in Python, but it is my understanding that using pip this way isn't recommended and you should instead invoke `python -m install -r requirements.txt` where python could be python36, python38, or just python. The same with virtualenv, `python -m venv ml_editor` appears to be the new way of doing this.
- e_ameisen 7y agoInteresting. I wasn't aware of that issue. It seems like after running activate, `pip` does point to the right location (`which pip` points to the virtualenv pip), but I'll look into it.
- turndown 7y agoUnfortunately the changes you did didn't improve my problem, pip insisted again that a correct tensorflow version wasn't available. I was, however, able to download tb-nightly so I do at least have a version. Quite shocked tensorflow thrashes so intensely on installation - is that normal?
- e_ameisen 7y agoI'm glad you have found a workaround. Again, this is for an example script outside of the main narrative of the book, so the impact should be minimal. If pip struggles to find a specific version, I'll usually remove the specific version requirement, and give whichever version pip finds a try by running `pip install tensorflow`