Hmm, yes, it’s a big mess - pytorch has just introduced pytorch-nightly-cpu, which is not pytorch-nightly, so conda dependencies are broken. Thank you for reporting this issue, @tnisonoff - somehow I didn’t think that it’d break.
Any luck with installing just the dependencies:
conda install fastai -c fastai --only-deps
and then installing fastai from source?
While I’m thinking about a possible solution here, perhaps simply use pip install instructions?
got the same error running conda install fastai -c fastai --only-deps
let me try the pip instructions
I’m able to reproduce this. I will post back once I have a solution.
An obvious solution that would work is to create fastai-cpu conda package that depends on pytorch-nightly-cpu. But I’m trying to think of something better.
That actually sounds like a pretty great solution to me!
I got it working on my mac with
pip install torch_nightly -f https://download.pytorch.org/whl/nightly/cpu/torch_nightly.html
pip install fastai
I needed to do some googling to find the cpu location of torch_nightly. I can submit a PR to update the README with pip instructions for cpu mode if you’d like! The current README instructions won’t lead to the correct torch_nightly afaict.
Not for the package manager - that would be one more package to manage, mostly duplicated dependencies, et al.
There could have been a much simpler solution: removing dependency on torch - which is fine since we already have separate instructions to installing it. Except we can do it only in pip packages, conda will not let you cheat 
What we need is for conda to support a dependency with several alternative names, but I doubt this is going to happen any time soon, since what’s happening with pytorch right now is so rare.
Thank you, but no need to, I will update it shortly.
Thank you and jeremy for the super fast response here!
Hmm, this is odd that it worked, since if I go to Start Locally | PyTorch and select Preview/Mac/No-CUDA it says “# Preview Build Not Yet Available on MacOS.”
Perhaps it’s not stable that they don’t advertise it?
That was my impression. I found it from this website: https://itsfoss.com/pytorch-open-source-ai-framework/
Didn’t look any further into it.
Alright, I think I found a way to cheat! @tnisonoff, please try this:
cleanup first:
pip uninstall -y pytorch-nightly-cpu pytorch torchvision torchvision-nightly torchvision-nightly-cpu fastai
conda uninstall -y pytorch-nightly-cpu pytorch torchvision torchvision-nightly torchvision-nightly-cpu fastai
and then:
conda install -c pytorch pytorch-nightly-cpu
conda install -c fastai torchvision-nightly-cpu
conda install -c fastai/label/test fastai
currently the cheating package is in the test label (hidden from -c fastai users), I tested it to install just fine. If you confirm that it works for you, I will release it to all and update the docs.
and if somebody wants to test the the non-cpu pytorch, it’d be:
conda install -c pytorch pytorch-nightly cuda92
conda install -c fastai torchvision-nightly
conda install -c fastai dataclasses fastprogress
conda install -c fastai/label/test fastai
except I’d remove the test label later, so it’d be just -c fastai, and no need for command 3.
hmm i cant get he last conda install to work…
(py37) [tyler-ekseks2] ~/sandbox/asana: conda install -c fastai/label/test fastai
Solving environment: failed
PackagesNotFoundError: The following packages are not available from current channels:
- fastai
- dataclasses
- fastai
- fastprogress[version='>=0.1.9']
Current channels:
.....
oh, right, dataclasses and fastprogress are in the main channel, i forgot to uninstall those first, so for now please use this:
conda install -c pytorch pytorch-nightly-cpu
conda install -c fastai torchvision-nightly-cpu
conda install -c fastai dataclasses fastprogress
conda install -c fastai/label/test fastai
and once tested and moved into the main channel it’ll get reduced to
conda install -c pytorch pytorch-nightly-cpu
conda install -c fastai torchvision-nightly-cpu
conda install -c fastai fastai
or
conda install -c pytorch pytorch-nightly-cpu
conda install -c fastai torchvision-nightly-cpu fastai
or
conda install -c pytorch -c fastai pytorch-nightly-cpu torchvision-nightly-cpu fastai
that worked!
Great, 1.0.5 is out, so now you can do for CPU install:
conda install -c pytorch pytorch-nightly-cpu
conda install -c fastai torchvision-nightly-cpu
conda install -c fastai fastai
or for GPU (replace XX with your cuda number 90, 92, etc.):
conda install -c pytorch pytorch-nightly cudaXX
conda install -c fastai torchvision-nightly
conda install -c fastai fastai
Install docs have been updated to reflect that.
We now have 8 different configurations of fastai-v1 builds tested at azure CI: Mac|Linux py3.6|37 conda|pip:
Unfortunately all cpu-only, but that’s a good start.
If you know of a free CI service integrated with github with free access to a GPU that would be great. I know we could use AWS/CGE, but that’s not free.
I found CircliCI, which provides limited builds for free, but I’m not sure whether GPU is included in the free package.
and while setting up the CI for macOS, I found a bug in matplotlib, that affected the test suite. So I thought I’d post the workaround here:
mkdir -p ~/.matplotlib
echo "backend: TkAgg" >> ~/.matplotlib/matplotlibrc
The error was similar to this one that I copied from the SO post (I no longer have the exact one I had on azure):
>>> import matplotlib.pyplot as plt
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "//anaconda/lib/python2.7/site-packages/matplotlib-1.3.1-py2.7-macosx-10.5-x86_64.egg/matplotlib/pyplot.py", line 98, in <module>
_backend_mod, new_figure_manager, draw_if_interactive, _show = pylab_setup()
File "//anaconda/lib/python2.7/site-packages/matplotlib-1.3.1-py2.7-macosx-10.5-x86_64.egg/matplotlib/backends/__init__.py", line 28, in pylab_setup
globals(),locals(),[backend_name],0)
File "//anaconda/lib/python2.7/site-packages/matplotlib-1.3.1-py2.7-macosx-10.5-x86_64.egg/matplotlib/backends/backend_macosx.py", line 21, in <module>
from matplotlib.backends import _macosx
**RuntimeError**: Python is not installed as a framework. The Mac OS X backend will not be able to function correctly if Python is not installed as a framework. See the Python documentation for more information on installing Python as a framework on Mac OS X. Please either reinstall Python as a framework, or try one of the other backends
This is what I originally did, using PyPI:
sudo pip install torch_nightly -f https://download.pytorch.org/whl/nightly/cu80/torch_nightly.html
sudo pip install fastai
This gets me fastai 0.7.0, torch 0.3.1, torch-nightly 1.0.0.dev20181005
I’m using Python 2.7 on Ubunto 14.04.
Is My System Supported?
the first line says: Python: You need to have python 3.6 or higher
@stas Problem: No longer have access to GPU… cuda available is false…
Report:
platform info : Linux-4.15.0-36-generic-x86_64-with-debian-stretch-sid
distro info : Ubuntu 16.04 Xenial Xerus
python version : 3.6.5
fastai version : 1.0.6.dev0
torch version : 1.0.0.dev20181008
nvidia driver : 396.37
cuda available : False
cuda version : 9.2.148
cudnn version : 7104
cudnn available: True
torch gpu count: 0
Tue Oct 9 17:20:31 2018
±----------------------------------------------------------------------------+
| NVIDIA-SMI 396.37 Driver Version: 396.37 |
|-------------------------------±---------------------±---------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 GeForce GT 710 Off | 00000000:01:00.0 N/A | N/A |
| 50% 49C P8 N/A / N/A | 0MiB / 980MiB | N/A Default |
±------------------------------±---------------------±---------------------+
| 1 GeForce GTX 1080 Off | 00000000:02:00.0 Off | N/A |
| 0% 45C P8 6W / 180W | 0MiB / 8119MiB | 0% Default |
±------------------------------±---------------------±---------------------+
±----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 Not Supported |
±----------------------------------------------------------------------------+
a brief summary of the problem:
NO longer have GPU access (was working fine with previous fastai)
torch.cuda.is_available() is FALSE (but torch.backends.cudnn.enabled is TRUE.)
conda install -c pytorch pytorch-nightly cuda92
conda install -c fastai torchvision-nightly
conda install -c fastai fastai