Hi,
I am trying to get the latest version of fastai on my machine.
I use
sudo /opt/anaconda3/bin/conda install -c fastai fastai
I should get 1.0.38 but I am on 1.0.34 I don’t know enough about conda if I need to update conda to get the latest conda published packages.
I think I had the same issue a few days ago.
I remember trying conda install -c fastai fastai=1.0.38
If that doesn’t work, try reinstalling: conda remove fastai && conda install -c fastai fastai
I have tried and got the error:
PackagesNotFoundError: The following packages are not available from current channels:
- fastai=1.0.38
- pytorch[version='>=1.0']
Current channels:
- https://conda.anaconda.org/fastai/linux-64
- https://conda.anaconda.org/fastai/noarch
- https://repo.anaconda.com/pkgs/main/linux-64
- https://repo.anaconda.com/pkgs/main/noarch
- https://repo.anaconda.com/pkgs/free/linux-64
- https://repo.anaconda.com/pkgs/free/noarch
- https://repo.anaconda.com/pkgs/r/linux-64
- https://repo.anaconda.com/pkgs/r/noarch
- https://repo.anaconda.com/pkgs/pro/linux-64
- https://repo.anaconda.com/pkgs/pro/noarch
To search for alternate channels that may provide the conda package you're
looking for, navigate to
https://anaconda.org
and use the search bar at the top of the page.
Have you looked at this thread?
The thing is simple 
1-The lastest version released in pip is v1.0.39
2-The lastest version released in conda is v1.0.39
https://anaconda.org/fastai/fastai/files
Ideally you can just compile with pip and install it.
inside the main git repository (in case of linux):
git pull && \
rm -rf ./dist && \
python3 setup.py bdist_wheel && \
pip install -U ./dist/fastai*.whl
Hi,
I have exactly the same problem as steffenix. On GCP - when I use:
sudo /opt/anaconda3/bin/conda install -c fastai fastai
I get an install of fastai 1.0.34.
I’ve tried rubyrhod’s suggestion to remove the fastai package and re-install and get the same packages not found error reported:
PackagesNotFoundError: The following packages are not available from current channels:
I’ve gone back through the forum GCP setup instructions and created a clean instance and then updated, following the instructions - same problem: fastai v 1.0.34.
I don’t want to use PIP as a solution as suggested by willismar - I’d much rather use the conda package manager if there’s a way as that is what I’ve generated familiarity with at this point.
Any help would be very welcome - thanks! Right now, if anyone follows the instructions to set up fastai as in the v3 course GCP server setup they’ll run in to the same problem I think.
Ok I figured out for you guys…
Fastai now depends of a package outside its “own” repository and outside the “default” repository too, so if not passed will not be found either:
conda install fastai -c fastai -c pytorch
Thanks very much willismar.
That works. It installed most recent fastai as you said. On GCP exactly this:
sudo /opt/anaconda3/bin/conda install fastai -c fastai -c pytorch
Many thanks for taking the time to figure this out - really appreciate it.
Joe
I was having the same issue as well but used the following to update to the latest version of fastai on GCP:
sudo /opt/anaconda3/bin/conda update fastai -c fastai -c pytorch
Hello,
(my previous post on this subject but in another thread)
Neither conda install fastai -c fastai -c pytorch, not conda update fastai -c fastai -c pytorch allows me to update fastai from 1.0.38 (current version in my environment, but not the most recent one). I’m using Anaconda Prompt and Windows 10. Any suggestion?
Hi @pierreguillou,
I really don’t know exact what the problem on your computer… I just tried to simulate in my linux. The thing is conda is equal in Windows or Linux.
The only other thing I can think of, is about you having a python version where pytorch aren’t compiled yet on the repository. Here I am using Python 3.6 on Linux.
Fastai is version free:
https://anaconda.org/fastai/fastai/files?version=1.0.41
PyTorch 1.0 is dependent in cuda version and python version
https://anaconda.org/pytorch/pytorch/files?version=1.0.0
Those are the windows version available on pytorch channel for anaconda/conda
580.8 MB | win-64/pytorch-1.0.0-py3.6_cuda80_cudnn7_1.tar.bz2
654.6 MB | win-64/pytorch-1.0.0-py3.5_cuda100_cudnn7_1.tar.bz2
654.5 MB | win-64/pytorch-1.0.0-py3.6_cuda100_cudnn7_1.tar.bz2
654.7 MB | win-64/pytorch-1.0.0-py3.7_cuda100_cudnn7_1.tar.bz2
605.7 MB | win-64/pytorch-1.0.0-py3.7_cuda90_cudnn7_1.tar.bz2
580.7 MB | win-64/pytorch-1.0.0-py3.5_cuda80_cudnn7_1.tar.bz2
581.1 MB | win-64/pytorch-1.0.0-py3.7_cuda80_cudnn7_1.tar.bz2
605.6 MB | win-64/pytorch-1.0.0-py3.6_cuda90_cudnn7_1.tar.bz2
606.0 MB | win-64/pytorch-1.0.0-py3.5_cuda90_cudnn7_1.tar.bz2
Anything outside those version you your conda will not find pytorch and so will not install your updated fastai.
Here I just removed pytorch and installed the fastai 1.0.34 to simulate your machine:
1-I tried to find pytorch and fastai on my system after that:
$ conda list | grep -E "fastai|pytorch"
dataclasses 0.6 py_0 fastai
fastai 1.0.34 py_1 fastai
fastprogress 0.1.18 py_0 fastai
2-Then I just tried to install with the commnand I described in earlier posts, and as you can see the plan shows the correct package is about to download:
$ conda install fastai -c pytorch -c fastai
## Package Plan ##
environment location: /home/ubuntu/anaconda/envs/projects
added / updated specs:
- fastai
The following packages will be downloaded:
package | build
---------------------------|-----------------
traitlets-4.3.2 | py36_0 133 KB
ipython-7.2.0 | py36h39e3cac_0 1.0 MB
pytorch-1.0.0 |py3.6_cuda9.0.176_cudnn7.4.1_1 498.6 MB pytorch
bleach-3.1.0 | py36_0 226 KB
terminado-0.8.1 | py36_1 21 KB
nb_conda-2.2.1 | py36_0 33 KB
nbformat-4.4.0 | py36_0 141 KB
notebook-5.7.4 | py36_0 7.2 MB
ptyprocess-0.6.0 | py36_0 23 KB
pyzmq-17.1.2 | py36h14c3975_0 454 KB
beautifulsoup4-4.7.1 | py36_1 143 KB
soupsieve-1.7.1 | py36_0 50 KB
fastai-1.0.41 | 1 127 KB fastai
pandocfilters-1.4.2 | py36_1 13 KB
nb_conda_kernels-2.2.0 | py36_0 32 KB
jinja2-2.10 | py36_0 184 KB
regex-2018.01.10 |py36h14c3975_1000 338 KB fastai
markupsafe-1.1.0 | py36h7b6447c_0 26 KB
zeromq-4.2.5 | hf484d3e_1 567 KB
spacy-2.0.18 |py36hf484d3e_1000 51.8 MB fastai
prompt_toolkit-2.0.7 | py36_0 482 KB
testpath-0.4.2 | py36_0 91 KB
jedi-0.13.2 | py36_0 228 KB
wcwidth-0.1.7 | py36_0 25 KB
packaging-18.0 | py36_0 33 KB
ninja-1.8.2 | py36h6bb024c_1 1.3 MB
libsodium-1.0.16 | h1bed415_0 302 KB
pexpect-4.6.0 | py36_0 77 KB
jupyter_core-4.4.0 | py36_0 63 KB
mistune-0.8.4 | py36h7b6447c_0 54 KB
webencodings-0.5.1 | py36_1 19 KB
torchvision-0.2.1 | py_2 37 KB pytorch
pygments-2.3.1 | py36_0 1.4 MB
nbconvert-5.3.1 | py36_0 406 KB
parso-0.3.1 | py36_0 114 KB
pandoc-2.2.3.2 | 0 20.8 MB
send2trash-1.5.0 | py36_0 16 KB
gmp-6.1.2 | h6c8ec71_1 744 KB
decorator-4.3.0 | py36_0 15 KB
ipython_genutils-0.2.0 | py36_0 39 KB
pickleshare-0.7.5 | py36_0 13 KB
prometheus_client-0.5.0 | py36_0 67 KB
jupyter_client-5.2.4 | py36_0 128 KB
ipykernel-5.1.0 | py36h39e3cac_0 156 KB
entrypoints-0.3 | py36_0 12 KB
nvidia-ml-py3-7.352.0 | py_0 22 KB fastai
backcall-0.1.0 | py36_0 19 KB
jsonschema-2.6.0 | py36_0 62 KB
------------------------------------------------------------
Total: 587.7 MB
The following NEW packages will be INSTALLED:
backcall: 0.1.0-py36_0
beautifulsoup4: 4.7.1-py36_1
bleach: 3.1.0-py36_0
decorator: 4.3.0-py36_0
entrypoints: 0.3-py36_0
gmp: 6.1.2-h6c8ec71_1
ipykernel: 5.1.0-py36h39e3cac_0
ipython: 7.2.0-py36h39e3cac_0
ipython_genutils: 0.2.0-py36_0
jedi: 0.13.2-py36_0
jinja2: 2.10-py36_0
jsonschema: 2.6.0-py36_0
jupyter_client: 5.2.4-py36_0
jupyter_core: 4.4.0-py36_0
libsodium: 1.0.16-h1bed415_0
markupsafe: 1.1.0-py36h7b6447c_0
mistune: 0.8.4-py36h7b6447c_0
nb_conda: 2.2.1-py36_0
nb_conda_kernels: 2.2.0-py36_0
nbconvert: 5.3.1-py36_0
nbformat: 4.4.0-py36_0
ninja: 1.8.2-py36h6bb024c_1
notebook: 5.7.4-py36_0
nvidia-ml-py3: 7.352.0-py_0 fastai
packaging: 18.0-py36_0
pandoc: 2.2.3.2-0
pandocfilters: 1.4.2-py36_1
parso: 0.3.1-py36_0
pexpect: 4.6.0-py36_0
pickleshare: 0.7.5-py36_0
prometheus_client: 0.5.0-py36_0
prompt_toolkit: 2.0.7-py36_0
ptyprocess: 0.6.0-py36_0
pygments: 2.3.1-py36_0
pytorch: 1.0.0-py3.6_cuda9.0.176_cudnn7.4.1_1 pytorch
pyzmq: 17.1.2-py36h14c3975_0
send2trash: 1.5.0-py36_0
soupsieve: 1.7.1-py36_0
terminado: 0.8.1-py36_1
testpath: 0.4.2-py36_0
torchvision: 0.2.1-py_2 pytorch
traitlets: 4.3.2-py36_0
wcwidth: 0.1.7-py36_0
webencodings: 0.5.1-py36_1
zeromq: 4.2.5-hf484d3e_1
The following packages will be UPDATED:
fastai: 1.0.34-py_1 fastai --> 1.0.41-1 fastai
spacy: 2.0.16-py36h962f231_0 --> 2.0.18-py36hf484d3e_1000 fastai
The following packages will be DOWNGRADED:
regex: 2018.08.29-py36h7b6447c_0 --> 2018.01.10-py36h14c3975_1000 fastai
Thanks very much Willismar for your step-by-step guide. I followed it (see below) but did not work on my computer 
My configuration: Windows 10, Anaconda Prompt, Fastai v1 installed through the conda procedure, python version 3.6.8 (build: h9f7ef89_0).
1. Activation of my fastai v1 environment.
(base) C:\Users(…)>activate fastai_v1
2. Getting the list and version of my packages with fastai and pytorch.
(fastai_v1) C:\Users(…)>conda list | grep -E “fastai|pytorch”
packages in environment at C:\Users(…)\Anaconda3\envs\fastai_v1:
dataclasses 0.6 py_0 fastai
fastai 1.0.38 py_1 fastai
fastprogress 0.1.18 py_0 fastai
nvidia-ml-py3 7.352.0 py_0 fastai
pytorch 1.0.0 py3.6_cuda90_cudnn7_1 pytorch
torchvision 0.2.1 py_2 pytorch
3. Trying update fastai version.
(fastai_v1) C:\Users(…)>conda install fastai -c pytorch -c fastai
Solving environment: done
All requested packages already installed.
4. Checking my fastai version.
(fastai_v1) C:\Users(…)>conda list fastai
packages in environment at C:\Users(…)\Anaconda3\envs\fastai_v1:
Name Version Build Channel
fastai 1.0.38 py_1 fastaiLet me ask you some dumb questions…
pip freeze ?conda list ?Ok I got some time to install a virtual machine and simulate your problem here…
Just creating the environment using python 3.6.8 or 3.7.2 there is not difference here…
(base) C:\Users\Willismar>conda create -n py372 python=3.7.2
Solving environment: done
## Package Plan ##
environment location: C:\Users\Willismar\Anaconda3\envs\py372
added / updated specs:
- python=3.7.2
The following packages will be downloaded:
package | build
---------------------------|-----------------
python-3.7.2 | h8c8aaf0_0 17.7 MB
The following NEW packages will be INSTALLED:
ca-certificates: 2018.12.5-0
certifi: 2018.11.29-py37_0
openssl: 1.1.1a-he774522_0
pip: 18.1-py37_0
python: 3.7.2-h8c8aaf0_0
setuptools: 40.6.3-py37_0
sqlite: 3.26.0-he774522_0
vc: 14.1-h0510ff6_4
vs2015_runtime: 14.15.26706-h3a45250_0
wheel: 0.32.3-py37_0
wincertstore: 0.2-py37_0
Proceed ([y]/n)? y
Downloading and Extracting Packages
python-3.7.2 | 17.7 MB | #################################### | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
# $ conda activate py372
#
# To deactivate an active environment, use
#
# $ conda deactivate
(base) C:\Users\Willismar>conda activate py372
(py372) C:\Users\Willismar>
(py372) C:\Users\Willismar>conda install fastai -c fastai
Solving environment: done
## Package Plan ##
environment location: C:\Users\Willismar\Anaconda3\envs\py372
added / updated specs:
- fastai
The following packages will be downloaded:
package | build
---------------------------|-----------------
numpy-1.15.4 | py37ha559c80_0 36 KB
numpy-base-1.15.4 | py37h8128ebf_0 3.9 MB
plac-0.9.6 | py37_0 36 KB
thinc-6.12.0 | py37hb854c30_0 1.4 MB
numexpr-2.6.8 | py37h9ef55f4_0 129 KB
fastai-1.0.34 | py_1 110 KB fastai
scipy-1.1.0 | py37h4f6bf74_1 13.5 MB
pyreadline-2.1 | py37_1 141 KB
cymem-2.0.2 | py37h74a9793_0 35 KB
pyparsing-2.3.1 | py37_0 105 KB
pytz-2018.9 | py37_0 264 KB
mkl_fft-1.0.6 | py37hdbbee80_0 120 KB
typing-3.6.4 | py37_0 44 KB
dill-0.2.8.2 | py37_0 134 KB
preshed-2.0.1 | py37h33f27b4_0 70 KB
pillow-5.4.1 | py37hdc69c19_0 686 KB
mkl_random-1.0.1 | py37h77b88f5_1 267 KB
spacy-2.0.16 | py37hcce6980_0 46.9 MB
msgpack-numpy-0.4.3.2 | py37_0 14 KB
regex-2018.08.29 | py37hfa6e2cd_0 330 KB
ujson-1.35 | py37hfa6e2cd_0 26 KB
murmurhash-1.0.1 | py37h33f27b4_0 20 KB
------------------------------------------------------------
Total: 68.2 MB
The following NEW packages will be INSTALLED:
asn1crypto: 0.24.0-py37_0
blas: 1.0-mkl
bottleneck: 1.2.1-py37h452e1ab_1
cffi: 1.11.5-py37h74b6da3_1
chardet: 3.0.4-py37_1
cryptography: 2.4.2-py37h7a1dbc1_0
cycler: 0.10.0-py37_0
cymem: 2.0.2-py37h74a9793_0
cytoolz: 0.9.0.1-py37hfa6e2cd_1
dataclasses: 0.6-py_0 fastai
dill: 0.2.8.2-py37_0
fastai: 1.0.34-py_1 fastai
fastprogress: 0.1.18-py_0 fastai
freetype: 2.9.1-ha9979f8_1
icc_rt: 2019.0.0-h0cc432a_1
icu: 58.2-ha66f8fd_1
idna: 2.8-py37_0
intel-openmp: 2019.1-144
jpeg: 9b-hb83a4c4_2
kiwisolver: 1.0.1-py37h6538335_0
libpng: 1.6.36-h2a8f88b_0
libtiff: 4.0.10-h2929a5b_1001
matplotlib: 3.0.2-py37hc8f65d3_0
mkl: 2018.0.3-1
mkl_fft: 1.0.6-py37hdbbee80_0
mkl_random: 1.0.1-py37h77b88f5_1
msgpack-numpy: 0.4.3.2-py37_0
msgpack-python: 0.5.6-py37he980bc4_1
murmurhash: 1.0.1-py37h33f27b4_0
numexpr: 2.6.8-py37h9ef55f4_0
numpy: 1.15.4-py37ha559c80_0
numpy-base: 1.15.4-py37h8128ebf_0
olefile: 0.46-py37_0
pandas: 0.23.4-py37h830ac7b_0
pillow: 5.4.1-py37hdc69c19_0
plac: 0.9.6-py37_0
preshed: 2.0.1-py37h33f27b4_0
pycparser: 2.19-py37_0
pyopenssl: 18.0.0-py37_0
pyparsing: 2.3.1-py37_0
pyqt: 5.9.2-py37h6538335_2
pyreadline: 2.1-py37_1
pysocks: 1.6.8-py37_0
python-dateutil: 2.7.5-py37_0
pytz: 2018.9-py37_0
pyyaml: 3.13-py37hfa6e2cd_0
qt: 5.9.7-vc14h73c81de_0
regex: 2018.08.29-py37hfa6e2cd_0
requests: 2.21.0-py37_0
scipy: 1.1.0-py37h4f6bf74_1
sip: 4.19.8-py37h6538335_0
six: 1.12.0-py37_0
spacy: 2.0.16-py37hcce6980_0
thinc: 6.12.0-py37hb854c30_0
tk: 8.6.8-hfa6e2cd_0
toolz: 0.9.0-py37_0
tornado: 5.1.1-py37hfa6e2cd_0
tqdm: 4.29.1-py_0
typing: 3.6.4-py37_0
ujson: 1.35-py37hfa6e2cd_0
urllib3: 1.24.1-py37_0
win_inet_pton: 1.0.1-py37_1
wrapt: 1.10.11-py37hfa6e2cd_2
yaml: 0.1.7-hc54c509_2
zlib: 1.2.11-h62dcd97_3
Proceed ([y]/n)? y
Downloading and Extracting Packages
numpy-1.15.4 | 36 KB | #################################### | 100%
numpy-base-1.15.4 | 3.9 MB | #################################### | 100%
plac-0.9.6 | 36 KB | #################################### | 100%
thinc-6.12.0 | 1.4 MB | #################################### | 100%
numexpr-2.6.8 | 129 KB | #################################### | 100%
fastai-1.0.34 | 110 KB | #################################### | 100%
scipy-1.1.0 | 13.5 MB | #################################### | 100%
pyreadline-2.1 | 141 KB | #################################### | 100%
cymem-2.0.2 | 35 KB | #################################### | 100%
pyparsing-2.3.1 | 105 KB | #################################### | 100%
pytz-2018.9 | 264 KB | #################################### | 100%
mkl_fft-1.0.6 | 120 KB | #################################### | 100%
typing-3.6.4 | 44 KB | #################################### | 100%
dill-0.2.8.2 | 134 KB | #################################### | 100%
preshed-2.0.1 | 70 KB | #################################### | 100%
pillow-5.4.1 | 686 KB | #################################### | 100%
mkl_random-1.0.1 | 267 KB | #################################### | 100%
spacy-2.0.16 | 46.9 MB | #################################### | 100%
msgpack-numpy-0.4.3. | 14 KB | #################################### | 100%
regex-2018.08.29 | 330 KB | #################################### | 100%
ujson-1.35 | 26 KB | #################################### | 100%
murmurhash-1.0.1 | 20 KB | #################################### | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
(py372) C:\Users\Willismar>
(py372) C:\Users\Willismar>conda install -c fastai -c pytorch fastai
Solving environment: done
## Package Plan ##
environment location: C:\Users\Willismar\Anaconda3\envs\py372
added / updated specs:
- fastai
The following packages will be downloaded:
package | build
---------------------------|-----------------
ninja-1.8.2 | py37he980bc4_1 109 KB
pytorch-1.0.0 |py3.7_cuda90_cudnn7_1 605.7 MB pytorch
------------------------------------------------------------
Total: 605.8 MB
The following NEW packages will be INSTALLED:
ninja: 1.8.2-py37he980bc4_1
nvidia-ml-py3: 7.352.0-py_0 fastai
packaging: 18.0-py37_0
pytorch: 1.0.0-py3.7_cuda90_cudnn7_1 pytorch
torchvision: 0.2.1-py_2 pytorch
The following packages will be UPDATED:
fastai: 1.0.34-py_1 fastai --> 1.0.38-py_1 fastai
Proceed ([y]/n)? y
Downloading and Extracting Packages
ninja-1.8.2 | 109 KB | #################################### | 100%
pytorch-1.0.0 | 605.7 MB | #################################### | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
(py372) C:\Users\Willismar>
I can find the version on repository
(py372) C:\Users\Willismar>conda search fastai=1.0.41 -c fastai
Loading channels: done
# Name Version Build Channel
fastai 1.0.41 1 fastai
Trying to install I can see that it shows the problem
(py372) C:\Users\Willismar>conda install fastai=1.0.41 -c fastai
Solving environment: failed
PackagesNotFoundError: The following packages are not available from current cha
nnels:
- fastai=1.0.41
- spacy[version='>=2.0.18']
Current channels:
- https://conda.anaconda.org/fastai/win-64
- https://conda.anaconda.org/fastai/noarch
- https://repo.anaconda.com/pkgs/main/win-64
- https://repo.anaconda.com/pkgs/main/noarch
- https://repo.anaconda.com/pkgs/free/win-64
- https://repo.anaconda.com/pkgs/free/noarch
- https://repo.anaconda.com/pkgs/r/win-64
- https://repo.anaconda.com/pkgs/r/noarch
- https://repo.anaconda.com/pkgs/pro/win-64
- https://repo.anaconda.com/pkgs/pro/noarch
- https://repo.anaconda.com/pkgs/msys2/win-64
- https://repo.anaconda.com/pkgs/msys2/noarch
To search for alternate channels that may provide the conda package you're
looking for, navigate to
https://anaconda.org
and use the search bar at the top of the page.
(py372) C:\Users\Willismar>
The problem is , because of this, the lack of the release version of spacy 2.0.18
PackagesNotFoundError: The following packages are not available from current cha
nnels:
- fastai=1.0.41
- spacy[version='>=2.0.18']
Let’s try to find it on the default channel:
(py372) C:\Users\Willismar>conda search spacy
Loading channels: done
# Name Version Build Channel
spacy 1.9.0 py27_vc9h1d62622_1 pkgs/main
spacy 1.9.0 py35_vc14hcdb467c_1 pkgs/main
spacy 1.9.0 py36_vc14hffcad6b_1 pkgs/main
spacy 2.0.5 py27hc56fc5f_0 pkgs/main
spacy 2.0.5 py35h6538335_0 pkgs/main
spacy 2.0.5 py36h6538335_0 pkgs/main
spacy 2.0.9 py27h504ef13_0 pkgs/main
spacy 2.0.9 py35h8300f20_0 pkgs/main
spacy 2.0.9 py36h8300f20_0 pkgs/main
spacy 2.0.10 py27h39f3610_0 pkgs/main
spacy 2.0.10 py35h830ac7b_0 pkgs/main
spacy 2.0.10 py36h830ac7b_0 pkgs/main
spacy 2.0.11 py27h504ef13_0 pkgs/main
spacy 2.0.11 py27h504ef13_2 pkgs/main
spacy 2.0.11 py35h8300f20_0 pkgs/main
spacy 2.0.11 py35h8300f20_2 pkgs/main
spacy 2.0.11 py36h8300f20_0 pkgs/main
spacy 2.0.11 py36h8300f20_2 pkgs/main
spacy 2.0.11 py37h8300f20_2 pkgs/main
spacy 2.0.12 py27h504ef13_0 pkgs/main
spacy 2.0.12 py35h8300f20_0 pkgs/main
spacy 2.0.12 py36h8300f20_0 pkgs/main
spacy 2.0.12 py37h8300f20_0 pkgs/main
spacy 2.0.16 py27h504ef13_0 pkgs/main
spacy 2.0.16 py36hcce6980_0 pkgs/main
spacy 2.0.16 py37hcce6980_0 pkgs/main
(py372) C:\Users\Willismar>
Let’s try to find it on the spacy channel.
We can see that the version v2.0.18 also isn’t released there yet:
(py372) C:\Users\Willismar>conda search spacy -c spacy
Loading channels: done
# Name Version Build Channel
spacy 0.100.5 py27_0 spacy
spacy 0.100.5 py35_0 spacy
spacy 0.100.6 py27_0 spacy
spacy 0.100.6 py35_0 spacy
spacy 0.100.7 py27_vc9_0 spacy
spacy 0.100.7 py35_vc14_0 spacy
spacy 0.101.0 py27_vc9_0 spacy
spacy 0.101.0 py35_vc14_0 spacy
But take a look on this other channel conda-forge:
(py372) C:\Users\Willismar>conda search spacy -c conda-forge
Loading channels: done
# Name Version Build Channel
spacy 1.1.0 np111py27_vc9_1 conda-forge
spacy 1.1.0 np111py35_vc14_0 conda-forge
spacy 1.1.0 np111py35_vc14_1 conda-forge
spacy 1.1.0 np111py36_vc14_0 conda-forge
spacy 1.1.0 np111py36_vc14_1 conda-forge
spacy 1.1.0 np112py27_vc9_1 conda-forge
spacy 1.1.0 np112py35_vc14_0 conda-forge
spacy 1.1.0 np112py35_vc14_1 conda-forge
spacy 1.1.0 np112py36_vc14_0 conda-forge
spacy 1.1.0 np112py36_vc14_1 conda-forge
spacy 1.2.0 np111py27_vc9_1 conda-forge
spacy 1.2.0 np111py35_vc14_1 conda-forge
spacy 1.2.0 np111py36_vc14_1 conda-forge
spacy 1.2.0 np112py27_vc9_1 conda-forge
spacy 1.2.0 np112py35_vc14_1 conda-forge
spacy 1.2.0 np112py36_vc14_1 conda-forge
spacy 1.3.0 np111py27_vc9_0 conda-forge
spacy 1.3.0 np111py35_vc14_0 conda-forge
spacy 1.3.0 np111py36_vc14_0 conda-forge
spacy 1.3.0 np112py27_vc9_0 conda-forge
spacy 1.3.0 np112py35_vc14_0 conda-forge
spacy 1.3.0 np112py36_vc14_0 conda-forge
spacy 1.4.0 np111py27_vc9_0 conda-forge
spacy 1.4.0 np111py35_vc14_0 conda-forge
spacy 1.4.0 np111py36_vc14_0 conda-forge
spacy 1.4.0 np112py27_vc9_0 conda-forge
spacy 1.4.0 np112py35_vc14_0 conda-forge
spacy 1.4.0 np112py36_vc14_0 conda-forge
spacy 1.5.1 np111py27_vc9_0 conda-forge
spacy 1.5.1 np111py35_vc14_0 conda-forge
spacy 1.5.1 np111py36_vc14_0 conda-forge
spacy 1.5.1 np112py27_vc9_0 conda-forge
spacy 1.5.1 np112py35_vc14_0 conda-forge
spacy 1.5.1 np112py36_vc14_0 conda-forge
spacy 1.6.0 np111py27_vc9_0 conda-forge
spacy 1.6.0 np111py35_vc14_0 conda-forge
spacy 1.6.0 np111py36_vc14_0 conda-forge
spacy 1.6.0 np112py27_vc9_0 conda-forge
spacy 1.6.0 np112py35_vc14_0 conda-forge
spacy 1.6.0 np112py36_vc14_0 conda-forge
spacy 1.7.2 np111py27_vc9_0 conda-forge
spacy 1.7.2 np111py35_vc14_0 conda-forge
spacy 1.7.2 np111py36_vc14_0 conda-forge
spacy 1.7.2 np112py27_vc9_0 conda-forge
spacy 1.7.2 np112py35_vc14_0 conda-forge
spacy 1.7.2 np112py36_vc14_0 conda-forge
spacy 1.7.3 np111py27_vc9_0 conda-forge
spacy 1.7.3 np111py35_vc14_0 conda-forge
spacy 1.7.3 np111py36_vc14_0 conda-forge
spacy 1.7.3 np112py27_vc9_0 conda-forge
spacy 1.7.3 np112py35_vc14_0 conda-forge
spacy 1.7.3 np112py36_vc14_0 conda-forge
spacy 1.8.1 np111py27_vc9_0 conda-forge
spacy 1.8.1 np111py35_vc14_0 conda-forge
spacy 1.8.1 np111py36_vc14_0 conda-forge
spacy 1.8.1 np112py27_vc9_0 conda-forge
spacy 1.8.1 np112py35_vc14_0 conda-forge
spacy 1.8.1 np112py36_vc14_0 conda-forge
spacy 1.8.2 np111py27_vc9_0 conda-forge
spacy 1.8.2 np111py35_vc14_0 conda-forge
spacy 1.8.2 np111py36_vc14_0 conda-forge
spacy 1.8.2 np112py27_vc9_0 conda-forge
spacy 1.8.2 np112py35_vc14_0 conda-forge
spacy 1.8.2 np112py36_vc14_0 conda-forge
spacy 1.9.0 np111py27_vc9_0 conda-forge
spacy 1.9.0 np111py27_vc9_1 conda-forge
spacy 1.9.0 np111py35_vc14_0 conda-forge
spacy 1.9.0 np111py35_vc14_1 conda-forge
spacy 1.9.0 np111py36_vc14_0 conda-forge
spacy 1.9.0 np111py36_vc14_1 conda-forge
spacy 1.9.0 np112py27_vc9_0 conda-forge
spacy 1.9.0 np112py27_vc9_1 conda-forge
spacy 1.9.0 np112py35_vc14_0 conda-forge
spacy 1.9.0 np112py35_vc14_1 conda-forge
spacy 1.9.0 np112py36_vc14_0 conda-forge
spacy 1.9.0 np112py36_vc14_1 conda-forge
spacy 1.9.0 py27_vc9h1d62622_1 pkgs/main
spacy 1.9.0 py35_vc14hcdb467c_1 pkgs/main
spacy 1.9.0 py36_vc14hffcad6b_1 pkgs/main
spacy 2.0.2 py27_vc9_0 conda-forge
spacy 2.0.2 py35_vc14_0 conda-forge
spacy 2.0.2 py36_vc14_0 conda-forge
spacy 2.0.3 py27_vc9_0 conda-forge
spacy 2.0.3 py35_vc14_0 conda-forge
spacy 2.0.3 py36_vc14_0 conda-forge
spacy 2.0.4 py27_vc9_0 conda-forge
spacy 2.0.4 py35_vc14_0 conda-forge
spacy 2.0.4 py36_vc14_0 conda-forge
spacy 2.0.5 py27hc56fc5f_0 pkgs/main
spacy 2.0.5 py35h6538335_0 pkgs/main
spacy 2.0.5 py36h6538335_0 pkgs/main
spacy 2.0.6 py27_vc9_2 conda-forge
spacy 2.0.6 py35_vc14_2 conda-forge
spacy 2.0.6 py36_vc14_2 conda-forge
spacy 2.0.7 py27_vc9_2 conda-forge
spacy 2.0.7 py35_vc14_2 conda-forge
spacy 2.0.7 py36_vc14_2 conda-forge
spacy 2.0.8 py27_vc9_0 conda-forge
spacy 2.0.8 py35_vc14_0 conda-forge
spacy 2.0.8 py36_vc14_0 conda-forge
spacy 2.0.9 py27_vc9_0 conda-forge
spacy 2.0.9 py27h504ef13_0 pkgs/main
spacy 2.0.9 py35_vc14_0 conda-forge
spacy 2.0.9 py35h8300f20_0 pkgs/main
spacy 2.0.9 py36_vc14_0 conda-forge
spacy 2.0.9 py36h8300f20_0 pkgs/main
spacy 2.0.10 py27_vc9_0 conda-forge
spacy 2.0.10 py27h39f3610_0 pkgs/main
spacy 2.0.10 py35_vc14_0 conda-forge
spacy 2.0.10 py35h830ac7b_0 pkgs/main
spacy 2.0.10 py36_vc14_0 conda-forge
spacy 2.0.10 py36h830ac7b_0 pkgs/main
spacy 2.0.11 py27_vc9_0 conda-forge
spacy 2.0.11 py27h39f3610_1 conda-forge
spacy 2.0.11 py27h504ef13_0 pkgs/main
spacy 2.0.11 py27h504ef13_2 pkgs/main
spacy 2.0.11 py35_vc14_0 conda-forge
spacy 2.0.11 py35h8300f20_0 pkgs/main
spacy 2.0.11 py35h8300f20_2 pkgs/main
spacy 2.0.11 py35h830ac7b_1 conda-forge
spacy 2.0.11 py36_vc14_0 conda-forge
spacy 2.0.11 py36h8300f20_0 pkgs/main
spacy 2.0.11 py36h8300f20_2 pkgs/main
spacy 2.0.11 py36h830ac7b_1 conda-forge
spacy 2.0.11 py37h8300f20_2 pkgs/main
spacy 2.0.12 py27h39f3610_0 conda-forge
spacy 2.0.12 py27h504ef13_0 pkgs/main
spacy 2.0.12 py35h8300f20_0 pkgs/main
spacy 2.0.12 py35h830ac7b_0 conda-forge
spacy 2.0.12 py36h8300f20_0 pkgs/main
spacy 2.0.12 py36h830ac7b_0 conda-forge
spacy 2.0.12 py37h8300f20_0 pkgs/main
spacy 2.0.13 py27h39f3610_0 conda-forge
spacy 2.0.13 py36h830ac7b_0 conda-forge
spacy 2.0.16 py27h504ef13_0 pkgs/main
spacy 2.0.16 py27hc56fc5f_1000 conda-forge
spacy 2.0.16 py27hc56fc5f_1001 conda-forge
spacy 2.0.16 py36h6538335_1000 conda-forge
spacy 2.0.16 py36h6538335_1001 conda-forge
spacy 2.0.16 py36hcce6980_0 pkgs/main
spacy 2.0.16 py37h6538335_1000 conda-forge
spacy 2.0.16 py37h6538335_1001 conda-forge
spacy 2.0.16 py37hcce6980_0 pkgs/main
spacy 2.0.17 py27hc56fc5f_1001 conda-forge
spacy 2.0.17 py36h6538335_1001 conda-forge
spacy 2.0.17 py37h6538335_1001 conda-forge
spacy 2.0.18 py27hc56fc5f_1000 conda-forge
spacy 2.0.18 py36h6538335_1000 conda-forge
spacy 2.0.18 py37h6538335_1000 conda-forge
(py372) C:\Users\Willismar>
(py372) C:\Users\Willismar>conda install spacy -c conda-forge
Solving environment: done
## Package Plan ##
environment location: C:\Users\Willismar\Anaconda3\envs\py372
added / updated specs:
- spacy
The following packages will be downloaded:
package | build
---------------------------|-----------------
ca-certificates-2018.11.29 | ha4d7672_0 179 KB conda-forge
certifi-2018.11.29 | py37_1000 144 KB conda-forge
------------------------------------------------------------
Total: 323 KB
The following packages will be UPDATED:
certifi: 2018.11.29-py37_0 --> 2018.11.29-py37_1000 conda-forge
The following packages will be DOWNGRADED:
ca-certificates: 2018.12.5-0 --> 2018.11.29-ha4d7672_0 conda-forge
Proceed ([y]/n)? y
Downloading and Extracting Packages
ca-certificates-2018 | 179 KB | #################################### | 100%
certifi-2018.11.29 | 144 KB | #################################### | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
(py372) C:\Users\Willismar>
Passing only the fastai channel wont work, because previously only the certificates was updated.
Then it still ask the system to have the correct version
(py372) C:\Users\Willismar>conda install fastai=1.0.41 -c fastai
Solving environment: failed
PackagesNotFoundError: The following packages are not available from current cha
nnels:
- fastai=1.0.41
- spacy[version='>=2.0.18']
Current channels:
- https://conda.anaconda.org/fastai/win-64
- https://conda.anaconda.org/fastai/noarch
- https://repo.anaconda.com/pkgs/main/win-64
- https://repo.anaconda.com/pkgs/main/noarch
- https://repo.anaconda.com/pkgs/free/win-64
- https://repo.anaconda.com/pkgs/free/noarch
- https://repo.anaconda.com/pkgs/r/win-64
- https://repo.anaconda.com/pkgs/r/noarch
- https://repo.anaconda.com/pkgs/pro/win-64
- https://repo.anaconda.com/pkgs/pro/noarch
- https://repo.anaconda.com/pkgs/msys2/win-64
- https://repo.anaconda.com/pkgs/msys2/noarch
To search for alternate channels that may provide the conda package you're
looking for, navigate to
https://anaconda.org
and use the search bar at the top of the page.
Passing the conda-forge channel together make everything agreed.
(py372) C:\Users\Willismar>conda install fastai=1.0.41 -c fastai -c conda-forge
Solving environment: done
## Package Plan ##
environment location: C:\Users\Willismar\Anaconda3\envs\py372
added / updated specs:
- fastai=1.0.41
The following packages will be downloaded:
package | build
---------------------------|-----------------
spacy-2.0.18 |py37h6538335_1000 50.5 MB conda-forge
ipykernel-5.1.0 |py37h39e3cac_1001 170 KB conda-forge
markupsafe-1.1.0 |py37hfa6e2cd_1000 27 KB conda-forge
terminado-0.8.1 | py37_1001 22 KB conda-forge
ipython_genutils-0.2.0 | py_1 21 KB conda-forge
notebook-5.7.4 | py37_1000 7.4 MB conda-forge
parso-0.3.1 | py_0 59 KB conda-forge
fastai-1.0.41 | 1 127 KB fastai
decorator-4.3.0 | py_0 10 KB conda-forge
jinja2-2.10 | py_1 89 KB conda-forge
pywinpty-0.5.5 | py37_1000 46 KB conda-forge
jupyter_client-5.2.4 | py_0 63 KB conda-forge
soupsieve-1.7.1 | py37_1000 48 KB conda-forge
prompt_toolkit-2.0.7 | py_0 218 KB conda-forge
colorama-0.4.1 | py_0 15 KB conda-forge
zeromq-4.2.5 | he025d50_1006 9.6 MB conda-forge
attrs-18.2.0 | py_0 30 KB conda-forge
pyzmq-17.1.2 |py37hf576995_1001 396 KB conda-forge
jupyter_core-4.4.0 | py_0 44 KB conda-forge
prometheus_client-0.5.0 | py_0 34 KB conda-forge
nbconvert-5.3.1 | py_1 320 KB conda-forge
winpty-0.4.3 | 4 1.1 MB conda-forge
pickleshare-0.7.5 | py37_1000 12 KB conda-forge
libsodium-1.0.16 | h2fa13f4_1001 582 KB conda-forge
mistune-0.8.4 |py37hfa6e2cd_1000 53 KB conda-forge
webencodings-0.5.1 | py_1 12 KB conda-forge
traitlets-4.3.2 | py37_1000 130 KB conda-forge
bleach-3.1.0 | py_0 110 KB conda-forge
entrypoints-0.3 | py37_1000 10 KB conda-forge
send2trash-1.5.0 | py_0 12 KB conda-forge
jsonschema-3.0.0a3 | py37_1000 98 KB conda-forge
pandoc-2.5 | 1 46.0 MB conda-forge
regex-2018.01.10 |py37hfa6e2cd_1000 319 KB conda-forge
beautifulsoup4-4.7.1 | py37_1001 140 KB conda-forge
wcwidth-0.1.7 | py_1 17 KB conda-forge
pandocfilters-1.4.2 | py_1 9 KB conda-forge
pygments-2.3.1 | py_0 641 KB conda-forge
nb_conda-2.2.1 | py37_0 33 KB
testpath-0.4.2 | py37_1000 90 KB conda-forge
nb_conda_kernels-2.2.0 | py37_1000 31 KB conda-forge
jedi-0.13.2 | py37_1000 228 KB conda-forge
ipython-7.2.0 |py37h39e3cac_1000 1.1 MB conda-forge
nbformat-4.4.0 | py_1 91 KB conda-forge
pyrsistent-0.14.9 |py37hfa6e2cd_1000 89 KB conda-forge
backcall-0.1.0 | py_0 13 KB conda-forge
------------------------------------------------------------
Total: 120.1 MB
The following NEW packages will be INSTALLED:
attrs: 18.2.0-py_0 conda-forge
backcall: 0.1.0-py_0 conda-forge
beautifulsoup4: 4.7.1-py37_1001 conda-forge
bleach: 3.1.0-py_0 conda-forge
colorama: 0.4.1-py_0 conda-forge
decorator: 4.3.0-py_0 conda-forge
entrypoints: 0.3-py37_1000 conda-forge
ipykernel: 5.1.0-py37h39e3cac_1001 conda-forge
ipython: 7.2.0-py37h39e3cac_1000 conda-forge
ipython_genutils: 0.2.0-py_1 conda-forge
jedi: 0.13.2-py37_1000 conda-forge
jinja2: 2.10-py_1 conda-forge
jsonschema: 3.0.0a3-py37_1000 conda-forge
jupyter_client: 5.2.4-py_0 conda-forge
jupyter_core: 4.4.0-py_0 conda-forge
libsodium: 1.0.16-h2fa13f4_1001 conda-forge
m2w64-gcc-libgfortran: 5.3.0-6
m2w64-gcc-libs: 5.3.0-7
m2w64-gcc-libs-core: 5.3.0-7
m2w64-gmp: 6.1.0-2
m2w64-libwinpthread-git: 5.0.0.4634.697f757-2
markupsafe: 1.1.0-py37hfa6e2cd_1000 conda-forge
mistune: 0.8.4-py37hfa6e2cd_1000 conda-forge
msys2-conda-epoch: 20160418-1
nb_conda: 2.2.1-py37_0
nb_conda_kernels: 2.2.0-py37_1000 conda-forge
nbconvert: 5.3.1-py_1 conda-forge
nbformat: 4.4.0-py_1 conda-forge
notebook: 5.7.4-py37_1000 conda-forge
pandoc: 2.5-1 conda-forge
pandocfilters: 1.4.2-py_1 conda-forge
parso: 0.3.1-py_0 conda-forge
pickleshare: 0.7.5-py37_1000 conda-forge
prometheus_client: 0.5.0-py_0 conda-forge
prompt_toolkit: 2.0.7-py_0 conda-forge
pygments: 2.3.1-py_0 conda-forge
pyrsistent: 0.14.9-py37hfa6e2cd_1000 conda-forge
pywinpty: 0.5.5-py37_1000 conda-forge
pyzmq: 17.1.2-py37hf576995_1001 conda-forge
send2trash: 1.5.0-py_0 conda-forge
soupsieve: 1.7.1-py37_1000 conda-forge
terminado: 0.8.1-py37_1001 conda-forge
testpath: 0.4.2-py37_1000 conda-forge
traitlets: 4.3.2-py37_1000 conda-forge
wcwidth: 0.1.7-py_1 conda-forge
webencodings: 0.5.1-py_1 conda-forge
winpty: 0.4.3-4 conda-forge
zeromq: 4.2.5-he025d50_1006 conda-forge
The following packages will be UPDATED:
fastai: 1.0.38-py_1 fastai --> 1.0.41-1
fastai
spacy: 2.0.16-py37hcce6980_0 --> 2.0.18-py
37h6538335_1000 conda-forge
The following packages will be DOWNGRADED:
regex: 2018.08.29-py37hfa6e2cd_0 --> 2018.01.1
0-py37hfa6e2cd_1000 conda-forge
Proceed ([y]/n)?
Proceed ([y]/n)? y
Downloading and Extracting Packages
spacy-2.0.18 | 50.5 MB | #################################### | 100%
ipykernel-5.1.0 | 170 KB | #################################### | 100%
markupsafe-1.1.0 | 27 KB | #################################### | 100%
terminado-0.8.1 | 22 KB | #################################### | 100%
ipython_genutils-0.2 | 21 KB | #################################### | 100%
notebook-5.7.4 | 7.4 MB | #################################### | 100%
parso-0.3.1 | 59 KB | #################################### | 100%
fastai-1.0.41 | 127 KB | #################################### | 100%
decorator-4.3.0 | 10 KB | #################################### | 100%
jinja2-2.10 | 89 KB | #################################### | 100%
pywinpty-0.5.5 | 46 KB | #################################### | 100%
jupyter_client-5.2.4 | 63 KB | #################################### | 100%
soupsieve-1.7.1 | 48 KB | #################################### | 100%
prompt_toolkit-2.0.7 | 218 KB | #################################### | 100%
colorama-0.4.1 | 15 KB | #################################### | 100%
zeromq-4.2.5 | 9.6 MB | #################################### | 100%
attrs-18.2.0 | 30 KB | #################################### | 100%
pyzmq-17.1.2 | 396 KB | #################################### | 100%
jupyter_core-4.4.0 | 44 KB | #################################### | 100%
prometheus_client-0. | 34 KB | #################################### | 100%
nbconvert-5.3.1 | 320 KB | #################################### | 100%
winpty-0.4.3 | 1.1 MB | #################################### | 100%
pickleshare-0.7.5 | 12 KB | #################################### | 100%
libsodium-1.0.16 | 582 KB | #################################### | 100%
mistune-0.8.4 | 53 KB | #################################### | 100%
webencodings-0.5.1 | 12 KB | #################################### | 100%
traitlets-4.3.2 | 130 KB | #################################### | 100%
bleach-3.1.0 | 110 KB | #################################### | 100%
entrypoints-0.3 | 10 KB | #################################### | 100%
send2trash-1.5.0 | 12 KB | #################################### | 100%
jsonschema-3.0.0a3 | 98 KB | #################################### | 100%
pandoc-2.5 | 46.0 MB | #################################### | 100%
regex-2018.01.10 | 319 KB | #################################### | 100%
beautifulsoup4-4.7.1 | 140 KB | #################################### | 100%
wcwidth-0.1.7 | 17 KB | #################################### | 100%
pandocfilters-1.4.2 | 9 KB | #################################### | 100%
pygments-2.3.1 | 641 KB | #################################### | 100%
nb_conda-2.2.1 | 33 KB | #################################### | 100%
testpath-0.4.2 | 90 KB | #################################### | 100%
nb_conda_kernels-2.2 | 31 KB | #################################### | 100%
jedi-0.13.2 | 228 KB | #################################### | 100%
ipython-7.2.0 | 1.1 MB | #################################### | 100%
nbformat-4.4.0 | 91 KB | #################################### | 100%
pyrsistent-0.14.9 | 89 KB | #################################### | 100%
backcall-0.1.0 | 13 KB | #################################### | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: / Enabling nb_conda_kernels...
Status: enabled
| Enabling notebook extension nb_conda/main...
- Validating: ok
Enabling tree extension nb_conda/tree...
- Validating: ok
Enabling: nb_conda
- Writing config: C:\Users\Willismar\Anaconda3\envs\py372\etc\jupyter
- Validating...
nb_conda 2.2.1 ok
done
(py372) C:\Users\Willismar>conda list fastai
# packages in environment at C:\Users\Willismar\Anaconda3\envs\py372:
#
# Name Version Build Channel
fastai 1.0.41 1 fastai
So to resume everything you can install using this, at this time, because the spacy 2.0.18 is not released in the default channels yet:
conda install fastai -c fastai -c pytorch -c conda-forge
The details of why and how I found the missing link you can see following the previous post.
Just perfect Thanks a lot Willismar!
This is the answer I was looking for!
Tried installing fastai using the suggested command, in my conda virtual environment (in windows 10):
(venv) (base) C:\Users\Samtha\Documents\automation_tool>conda install fastai -c fastai -c pytorch -c conda-forge
Collecting package metadata (current_repodata.json): done
Solving environment: done
# All requested packages already installed.
However when I run my python code in “venv”: from fastai import *
it errors as
ModuleNotFoundError: No module named ‘fastai’
I checked under venv\Lib\site-packages-- I cannot see fastai folder, but see fastcore-1.0.13.dist-info, fastprogress-1.0.0.dist-info
However on typing: “conda list fastai”, it shows up in another path, where I has previously installed it as shown below:
base) (venv) C:\Users\Samtha\Documents\automation_tool>conda list fastai
# packages in environment at C:\Users\Samtha\Anaconda3:
#
# Name Version Build Channel
fastai 1.0.61 1 fastai
Please suggest how can make fastai work in my virtual environment
Hi …
I am sorry for the time, I just saw your message now…
Well this is a message not because you did something wrong but the Venv wasn’t activated when you installed, then after you activated and tried to use it the module wasn’t there.
First make sure that when you restart your machine, you activate the environment before install any package.
Are you still having this problem or is it already solved?
In case yes ,… describe the entire process you did so I can verify too.
Ok I had some time to see this…
The problem almost like I told you before. conda and venv has it’s own private environments.
Conda (base) environment
(base) C:\Users\willismar>python --version
Python 3.8.3
(base) C:\Users\willismar>where python
C:\Users\willismar\miniconda3\python.exe
(base) C:\Users\willismar>pip --version
pip 20.0.2 from C:\Users\willismar\miniconda3\lib\site-packages\pip (python 3.8)
executing the command pip freeze on base environment is possible to find some packages already installed.
If I create a new environment for venv called venv_myproject
Venv (venv_myproject) environment
(venv_myproject) (base) C:\Users\willismar\venv_myproject>where python
C:\Users\willismar\venv_myproject\Scripts\python.exe
C:\Users\willismar\miniconda3\python.exe
(venv_myproject) (base) C:\Users\willismar\venv_myproject>python --version
Python 3.8.3
(venv_myproject) (base) C:\Users\willismar\venv_myproject>pip --version
pip 19.2.3 from c:\users\willismar\venv_myproject\lib\site-packages\pip (python 3.8)
(venv_myproject) (base) C:\Users\willismar\venv_myproject>
executing the command pip freeze now will not show nothing installed in this environment.
executing the command conda install fastai -c fastai -c pytorch -c conda-forge will install everything in conda environment loaded.
Even after it if you execute pip freeze will not find nothing either. Only if deactivate venv environment you will find everything that conda installed.
So to solve this problem you need to go back to old fashioned pip way to deal with venv inside conda environment.
Actually conda environment is not being useful almost for nothing. Just to select the version of python you are using.
This is your solution to keep using venv inside conda. Install fastai v2 (because all previous torch and tourchvision was removed from wheel)
pip install torch torchvision
pip install fastai
I split into 2 commands because you have opportunity to change from torch for GPU to torch for CPU if needed.