I am trying to setup fastai environment on my local machine and was following the new instructions i.e. cloning the repo https://github.com/fastai/fastai and on running conda env update, I am facing the below ResolvePackageNotFound: error.
I even tried installing testpath version 0.4.2 still facing the same issue.
yes, conda is slow to update - it’s on conda-forge or pip. please try again after git pull
Hi @stas,
I tried conda env update after doing git pull, but now am facing some different issue -
Collecting pyproj (from geopandas>=0.3.0->plotnine->-r C:\Users\Divyojyoti Sinha\fastai\condaenv.mnwiukfl.requirements.txt (line 9))
Using cached https://files.pythonhosted.org/packages/29/72/5c1888c4948a0c7b736d10e0f0f69966e7c0874a660222ed0a2c2c6daa9f/pyproj-1.9.5.1.tar.gz
Complete output from command python setup.py egg_info:
using bundled proj4..
Traceback (most recent call last):
File "C:\Users\Divyojyoti Sinha\Anaconda3\envs\fastai\lib\site-packages\setuptools\msvc.py", line 489, in _find_latest_available_vc_ver
return self.find_available_vc_vers()[-1]
IndexError: list index out of range
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "C:\Users\DIVYOJ~1\AppData\Local\Temp\pip-install-fv1hjxsm\pyproj\setup.py", line 72, in <module>
objects = cc.compile(['nad2bin.c', 'src/pj_malloc.c'])
File "C:\Users\Divyojyoti Sinha\Anaconda3\envs\fastai\lib\distutils\_msvccompiler.py", line 345, in compile
self.initialize()
File "C:\Users\Divyojyoti Sinha\Anaconda3\envs\fastai\lib\distutils\_msvccompiler.py", line 238, in initialize
vc_env = _get_vc_env(plat_spec)
File "C:\Users\Divyojyoti Sinha\Anaconda3\envs\fastai\lib\site-packages\setuptools\msvc.py", line 185, in msvc14_get_vc_env
return EnvironmentInfo(plat_spec, vc_min_ver=14.0).return_env()
File "C:\Users\Divyojyoti Sinha\Anaconda3\envs\fastai\lib\site-packages\setuptools\msvc.py", line 843, in __init__
self.si = SystemInfo(self.ri, vc_ver)
File "C:\Users\Divyojyoti Sinha\Anaconda3\envs\fastai\lib\site-packages\setuptools\msvc.py", line 485, in __init__
self.vc_ver = vc_ver or self._find_latest_available_vc_ver()
File "C:\Users\Divyojyoti Sinha\Anaconda3\envs\fastai\lib\site-packages\setuptools\msvc.py", line 492, in _find_latest_available_vc_ver
raise distutils.errors.DistutilsPlatformError(err)
distutils.errors.DistutilsPlatformError: Microsoft Visual C++ 14.0 is required. Get it with "Microsoft Visual C++ Build Tools": https://visualstudio.microsoft.com/downloads/
----------------------------------------
Command "python setup.py egg_info" failed with error code 1 in C:\Users\DIVYOJ~1\AppData\Local\Temp\pip-install-fv1hjxsm\pyproj\
CondaValueError: pip returned an errorLooks like some issue with your pip/system configuration (unrelated to fastai), as usual google it, which for example suggests: https://stackoverflow.com/a/36025294/9201239 - see if it helps, and then if searching more specifically this one suggests how you can avail your system of compiler tools.
I’m not sure though why is it trying to compile pyproj when it’s available on conda, e.g.: conda install -c anaconda pyproj.
Thanks a lot @stas ,
I was able to install fastai on my machine and was able to execute from fastai.imports import * on jupyter notebook, but am facing the below issue while trying to import the other modules and I feel all these modules are present in the old directory of fastai.
Should I import these modules from old directory?
first, perhaps you could share what changes you applied to fix the installation issue, so that others in your situation will know how to accomplish that themselves.
second, I’d say, first, start with running an existing notebook, like courses/dl1/lesson1.ipynb. which is perhaps is what you’re doing (please give us as many details as possible in the future, we can’t always guess).
there is a symlink courses/dl1/fastai -> ../../old/fastai/ which should point to the v0 version of fastai and should find the right set of fastai modules.
if somehow this doesn’t work, try:
import sys
print(sys.path)
and you will now know what directories python is searching. then you can see whether it finds old/fastai library.
Perhaps the symlink is not working under windows? I remember it wasn’t working the past, perhaps it’s still the case.
update: Jeremy moved it into the right thread, so please read the first post for what you need to do. On windows the symlinks working differently.
spent the last 1 1/2 days trying to get up and running with lesson 1. after a bit of work and updating C++, reinstalling all of anaconda (p36), running prompt using admin rights, and manually installing shapely, the conda env update step ran successfully and I followed the rest of instructions.
When I got into jupyter notebook and opened lesson 1 ipynb, I get a “Kernel Dead” message with the following log:
Traceback (most recent call last):
File "C:\ProgramData\Anaconda3\envs\fastai\lib\site-packages\tornado\web.py", line 1512, in _execute
result = yield result
File "C:\ProgramData\Anaconda3\envs\fastai\lib\site-packages\tornado\gen.py", line 1055, in run
value = future.result()
File "C:\ProgramData\Anaconda3\envs\fastai\lib\site-packages\tornado\concurrent.py", line 238, in result
raise_exc_info(self._exc_info)
File "<string>", line 4, in raise_exc_info
File "C:\ProgramData\Anaconda3\envs\fastai\lib\site-packages\tornado\gen.py", line 1063, in run
yielded = self.gen.throw(*exc_info)
File "C:\ProgramData\Anaconda3\envs\fastai\lib\site-packages\notebook\services\sessions\handlers.py", line 73, in post
type=mtype))
File "C:\ProgramData\Anaconda3\envs\fastai\lib\site-packages\tornado\gen.py", line 1055, in run
value = future.result()
File "C:\ProgramData\Anaconda3\envs\fastai\lib\site-packages\tornado\concurrent.py", line 238, in result
raise_exc_info(self._exc_info)
File "<string>", line 4, in raise_exc_info
File "C:\ProgramData\Anaconda3\envs\fastai\lib\site-packages\tornado\gen.py", line 1063, in run
yielded = self.gen.throw(*exc_info)
File "C:\ProgramData\Anaconda3\envs\fastai\lib\site- packages\notebook\services\sessions\sessionmanager.py", line 79, in create_session
kernel_id = yield self.start_kernel_for_session(session_id, path, name, type, kernel_name)
File "C:\ProgramData\Anaconda3\envs\fastai\lib\site-packages\tornado\gen.py", line 1055, in run
value = future.result()
File "C:\ProgramData\Anaconda3\envs\fastai\lib\site-packages\tornado\concurrent.py", line 238, in result
raise_exc_info(self._exc_info)
File "<string>", line 4, in raise_exc_info
File "C:\ProgramData\Anaconda3\envs\fastai\lib\site-packages\tornado\gen.py", line 1063, in run
yielded = self.gen.throw(*exc_info)
File "C:\ProgramData\Anaconda3\envs\fastai\lib\site- packages\notebook\services\sessions\sessionmanager.py", line 92, in start_kernel_for_session
self.kernel_manager.start_kernel(path=kernel_path, kernel_name=kernel_name)
File "C:\ProgramData\Anaconda3\envs\fastai\lib\site-packages\tornado\gen.py", line 1055, in run
value = future.result()
File "C:\ProgramData\Anaconda3\envs\fastai\lib\site-packages\tornado\concurrent.py", line 238, in result
raise_exc_info(self._exc_info)
File "<string>", line 4, in raise_exc_info
File "C:\ProgramData\Anaconda3\envs\fastai\lib\site-packages\tornado\gen.py", line 307, in wrapper
yielded = next(result)
File "C:\ProgramData\Anaconda3\envs\fastai\lib\site- packages\notebook\services\kernels\kernelmanager.py", line 160, in start_kernel
super(MappingKernelManager, self).start_kernel(**kwargs)
File "C:\ProgramData\Anaconda3\envs\fastai\lib\site-packages\jupyter_client\multikernelmanager.py", line 110, in start_kernel
km.start_kernel(**kwargs)
File "C:\ProgramData\Anaconda3\envs\fastai\lib\site-packages\jupyter_client\manager.py", line 259, in start_kernel
**kw)
File "C:\ProgramData\Anaconda3\envs\fastai\lib\site-packages\jupyter_client\manager.py", line 204, in _launch_kernel
return launch_kernel(kernel_cmd, **kw)
File "C:\ProgramData\Anaconda3\envs\fastai\lib\site-packages\jupyter_client\launcher.py", line 128, in launch_kernel
proc = Popen(cmd, **kwargs)
File "C:\ProgramData\Anaconda3\envs\fastai\lib\subprocess.py", line 709, in __init__
restore_signals, start_new_session)
File "C:\ProgramData\Anaconda3\envs\fastai\lib\subprocess.py", line 997, in _execute_child
startupinfo)
FileNotFoundError: [WinError 2] The system cannot find the file specified
Any idea? I can’t tell from here what is missing?
UPDATE: Thinking tornado needed to be installed I tried conda install -n fastai tornado. This ran successfully, but still receiving same message as before 
UPDATE: Removed the fastai environment and going to try conda env update again fresh to see if I missed something along the way…
After the refresh of the fastai conda env, got this warning:
The script plasma_store.exe is installed in 'C:\ProgramData\Anaconda3\envs\fas
tai\Scripts' which is not on PATH.
Consider adding this directory to PATH or, if you prefer to suppress this warn
ing, use --no-warn-script-location.
The script pbr.exe is installed in 'C:\ProgramData\Anaconda3\envs\fastai\Scrip
ts' which is not on PATH.
Consider adding this directory to PATH or, if you prefer to suppress this warn
ing, use --no-warn-script-location.
The script kg.exe is installed in 'C:\ProgramData\Anaconda3\envs\fastai\Script
s' which is not on PATH.
Consider adding this directory to PATH or, if you prefer to suppress this warn
ing, use --no-warn-script-location.
Added this to system variable PATH, but still same issue with dead kernel after activating fastai, adding link, and running jupyter notebook:
Traceback (most recent call last):
File "C:\ProgramData\Anaconda3\envs\fastai\lib\site-packages\tornado\web.py", line 1512, in _execute
result = yield result
File "C:\ProgramData\Anaconda3\envs\fastai\lib\site-packages\tornado\gen.py", line 1055, in run
value = future.result()
File "C:\ProgramData\Anaconda3\envs\fastai\lib\site-packages\tornado\concurrent.py", line 238, in result
raise_exc_info(self._exc_info)
File "<string>", line 4, in raise_exc_info
File "C:\ProgramData\Anaconda3\envs\fastai\lib\site-packages\tornado\gen.py", line 1063, in run
yielded = self.gen.throw(*exc_info)
File "C:\ProgramData\Anaconda3\envs\fastai\lib\site-packages\notebook\services\sessions\handlers.py", line 73, in post
type=mtype))
File "C:\ProgramData\Anaconda3\envs\fastai\lib\site-packages\tornado\gen.py", line 1055, in run
value = future.result()
File "C:\ProgramData\Anaconda3\envs\fastai\lib\site-packages\tornado\concurrent.py", line 238, in result
raise_exc_info(self._exc_info)
File "<string>", line 4, in raise_exc_info
File "C:\ProgramData\Anaconda3\envs\fastai\lib\site-packages\tornado\gen.py", line 1063, in run
yielded = self.gen.throw(*exc_info)
File "C:\ProgramData\Anaconda3\envs\fastai\lib\site- packages\notebook\services\sessions\sessionmanager.py", line 79, in create_session
kernel_id = yield self.start_kernel_for_session(session_id, path, name, type, kernel_name)
File "C:\ProgramData\Anaconda3\envs\fastai\lib\site-packages\tornado\gen.py", line 1055, in run
value = future.result()
File "C:\ProgramData\Anaconda3\envs\fastai\lib\site-packages\tornado\concurrent.py", line 238, in result
raise_exc_info(self._exc_info)
File "<string>", line 4, in raise_exc_info
File "C:\ProgramData\Anaconda3\envs\fastai\lib\site-packages\tornado\gen.py", line 1063, in run
yielded = self.gen.throw(*exc_info)
File "C:\ProgramData\Anaconda3\envs\fastai\lib\site- packages\notebook\services\sessions\sessionmanager.py", line 92, in start_kernel_for_session
self.kernel_manager.start_kernel(path=kernel_path, kernel_name=kernel_name)
File "C:\ProgramData\Anaconda3\envs\fastai\lib\site-packages\tornado\gen.py", line 1055, in run
value = future.result()
File "C:\ProgramData\Anaconda3\envs\fastai\lib\site-packages\tornado\concurrent.py", line 238, in result
raise_exc_info(self._exc_info)
File "<string>", line 4, in raise_exc_info
File "C:\ProgramData\Anaconda3\envs\fastai\lib\site-packages\tornado\gen.py", line 307, in wrapper
yielded = next(result)
File "C:\ProgramData\Anaconda3\envs\fastai\lib\site- packages\notebook\services\kernels\kernelmanager.py", line 160, in start_kernel
super(MappingKernelManager, self).start_kernel(**kwargs)
File "C:\ProgramData\Anaconda3\envs\fastai\lib\site-packages\jupyter_client\multikernelmanager.py", line 110, in start_kernel
km.start_kernel(**kwargs)
File "C:\ProgramData\Anaconda3\envs\fastai\lib\site-packages\jupyter_client\manager.py", line 259, in start_kernel
**kw)
File "C:\ProgramData\Anaconda3\envs\fastai\lib\site-packages\jupyter_client\manager.py", line 204, in _launch_kernel
return launch_kernel(kernel_cmd, **kw)
File "C:\ProgramData\Anaconda3\envs\fastai\lib\site-packages\jupyter_client\launcher.py", line 128, in launch_kernel
proc = Popen(cmd, **kwargs)
File "C:\ProgramData\Anaconda3\envs\fastai\lib\subprocess.py", line 709, in __init__
restore_signals, start_new_session)
File "C:\ProgramData\Anaconda3\envs\fastai\lib\subprocess.py", line 997, in _execute_child
startupinfo)
FileNotFoundError: [WinError 2] The system cannot find the file specified
If you’re on lesson 1, you probably don’t want to be setting up this from scratch on Windows - have you considered just using Paperspace? Everything is set up and ready to go there. Once you get going, you can come back and set up Windows if you find you’re needing to do so.
Definitely Considered! Just have this gaming rig with a Nvidia card in it and wanted to put some neural nets through it other than games 
to follow up to my prior issue, looks like it was a self-inflicted anaconda wound! After searching around for “jupyter kernel dead won’t restart” I landed on:
Apparently after multiple installs of anaconda you end up with a few kernel.json files (check the two highlighted)
when I compare the paths inside, the one in \envs\fastai… had the path:
C:/ProgramData/Anaconda3//envs/fastai/bin/python
while the main one in \share\jupyter… had:
C:\\ProgramData\\Anaconda3\\python.exe
After replacing the path from the fastai kernels.json with the one that contained the .exe , voila! Now the notebook successfully loads with a ready kernel!
Albeit another error on not finding spacy when trying to import
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
<ipython-input-2-c51a52575a56> in <module>()
1 # This file contains all the main external libs we'll use
----> 2 from fastai.imports import *
~\Documents\GitHub\fastai\courses\dl1\fastai\__init__.py in <module>()
----> 1 from .basic_train import *
2 from .callback import *
3 from .callbacks import *
4 from .core import *
5 from .data import *
~\Documents\GitHub\fastai\courses\dl1\fastai\basic_train.py in <module>()
1 "Provides basic training and validation with `Learner`"
----> 2 from .torch_core import *
3 from .data import *
4 from .callback import *
5
~\Documents\GitHub\fastai\courses\dl1\fastai\torch_core.py in <module>()
1 "Utility functions to help deal with tensors"
----> 2 from .imports.torch import *
3 from .core import *
4
5 AffineMatrix = Tensor
~\Documents\GitHub\fastai\courses\dl1\fastai\imports\__init__.py in <module>()
----> 1 from .core import *
2 from .torch import *
~\Documents\GitHub\fastai\courses\dl1\fastai\imports\core.py in <module>()
4 import abc, collections, hashlib, itertools, json, operator
5 import mimetypes, inspect, typing, functools
----> 6 import html, re, spacy, requests
7
8 from abc import abstractmethod, abstractproperty
ModuleNotFoundError: No module named 'spacy'
I tried to conda install -n fastai spacy and ran successfully, but still got the same error log
check the contents of your old\fastai folder vs the one in the repo. mine was somehow different, so i had to replace it manually with the correct one from the repo.
How did you figure out which ones to replace manually? The folders look way different:
\fastai
\fastai\old
\fastai\old\fastai
Anyone had issues with pytorch 1.0 finding CUDA on windows?
I’m trying to get fastai 1.0 up in windows, with cuda 9.0 installed. I’ve built pytorch and created a new conda env with py3.7 and:
Python 3.7.0 (default, Jun 28 2018, 08:04:48) [MSC v.1912 64 bit (AMD64)] :: Anaconda, Inc. on win32
Type “help”, “copyright”, “credits” or “license” for more information.
import torch
print("PyTorch version: ", torch.version )
PyTorch version: 1.0.0a0+0e966fc
print("CUDA version: ", torch.version.cuda)
CUDA version: None
print(“CUDA available”, torch.cuda.is_available())
CUDA available False
print("CUDNN enabled: ", torch.backends.cudnn.enabled)
CUDNN enabled: True
previous environment still finds cuda
Python 3.6.4 |Anaconda, Inc.| (default, Jan 16 2018, 10:22:32) [MSC v.1900 64 bit (AMD64)] on win32
Type “help”, “copyright”, “credits” or “license” for more information.
import torch
print("PyTorch version: ", torch.version )
PyTorch version: 0.3.0b0+591e73e
print("CUDA version: ", torch.version.cuda)
CUDA version: 9.0
print("CUDNN enabled: ", torch.backends.cudnn.enabled)
CUDNN enabled: True
(deja vu… months back in this thread when i first installed fastai, cuda wasn’t found until after a couple reboots. - admittedly I’ve only tried one reboot this time)
still having issues with dead kernel when trying to run notebooks.
Reinstalled anaconda and reinstalled fastai from github. Cleared conda cache. Ran conda env update and then manually had to add pyproj and shapely using conda install -n fastai pkgname.
after looking up jupyter kernelspec list appears I have two (depending if I activate fastai or not):
The contents of kernel.json @ C:\Users\Stephen\Anaconda3\share\jupyter\kernels\python3 are…
{
"argv": [
"C:\\Users\\Stephen\\Anaconda3\\python.exe",
"-m",
"ipykernel_launcher",
"-f",
"{connection_file}"
],
"display_name": "Python 3",
"language": "python"
}
The contents of kernel.json @ C:\Users\Stephen\Anaconda3\envs\fastai\share\jupyter\kernels\python3 are…
{
"argv": [
"C:/Users/Stephen/Anaconda3/envs/fastai/bin/python",
"-m",
"ipykernel_launcher",
"-f",
"{connection_file}"
],
"display_name": "Python 3",
"language": "python"
}
the …/bin/python folder directory doesn’t exist though - could this be it? should I modify this and where should it be pointing to?
my fastai conda info (rolled my recent post into this one)
active environment : fastai
active env location : C:\Users\Stephen\Anaconda3\envs\fastai
shell level : 2
user config file : C:\Users\Stephen\.condarc
populated config files : C:\Users\Stephen\.condarc
conda version : 4.5.11
conda-build version : 3.10.5
python version : 3.6.5.final.0
base environment : C:\Users\Stephen\Anaconda3 (writable)
channel URLs : 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
package cache : C:\Users\Stephen\Anaconda3\pkgs
C:\Users\Stephen\AppData\Local\conda\conda\pkgs
envs directories : C:\Users\Stephen\Anaconda3\envs
C:\Users\Stephen\AppData\Local\conda\conda\envs
C:\Users\Stephen\.conda\envs
platform : win-64
user-agent : conda/4.5.11 requests/2.18.4 CPython/3.6.5 Windows/7 W
indows/6.1.7601
administrator : True
netrc file : None
offline mode : False
# packages in environment at C:\Users\Stephen\Anaconda3\envs\fastai:
#
# Name Version Build Channel
asn1crypto 0.24.0 py36_1003 conda-forge
atomicwrites 1.2.1 py_0 conda-forge
attrs 18.2.0 py_0 conda-forge
backcall 0.1.0 py_0 conda-forge
bcolz 1.2.1 py36_1 conda-forge
beautifulsoup4 4.6.3 <pip>
blas 1.0 mkl
bleach 3.0.0 py_0 conda-forge
blosc 1.14.4 h6538335_1000 conda-forge
bokeh 0.13.0 py36_0 conda-forge
boto3 1.9.16 py_0 conda-forge
botocore 1.12.17 py_0 conda-forge
bzip2 1.0.6 vc14_1 [vc14] conda-forge
ca-certificates 2018.8.24 ha4d7672_0 conda-forge
certifi 2018.8.24 py36_1001 conda-forge
cffi 1.11.5 py36hfa6e2cd_1001 conda-forge
chardet 3.0.4 py36_1003 conda-forge
click 7.0 py_0 conda-forge
click-plugins 1.0.4 py_0 conda-forge
cliff 2.8.2 <pip>
cligj 0.5.0 py_0 conda-forge
cloudpickle 0.5.6 py_0 conda-forge
cmd2 0.9.4 <pip>
colorama 0.3.9 py_1 conda-forge
configparser 3.5.0 <pip>
cryptography 2.3.1 py36h74b6da3_1000 conda-forge
cssselect 1.0.3 <pip>
cuda90 1.0 0 pytorch
cudatoolkit 9.0 1
cudnn 7.1.4 cuda9.0_0
curl 7.60.0 vc14_0 [vc14] conda-forge
cycler 0.10.0 py_1 conda-forge
cymem 1.31.2 py36_vc14_0 [vc14] conda-forge
cython 0.28.5 py36h6538335_1000 conda-forge
cytoolz 0.9.0.1 py36hfa6e2cd_1001 conda-forge
dask 0.19.3 py_0 conda-forge
dask-core 0.19.3 py_0 conda-forge
decorator 4.3.0 py_0 conda-forge
descartes 1.1.0 <pip>
dill 0.2.8.2 py36_1000 conda-forge
distributed 1.23.3 py36_0 conda-forge
docutils 0.14 py36_1001 conda-forge
entrypoints 0.2.3 py36_1002 conda-forge
expat 2.2.5 vc14_0 [vc14] conda-forge
feather-format 0.4.0 <pip>
fiona 1.8a3 py36h2fc6367_0 conda-forge
freetype 2.9.1 he8b6a0d_1004 conda-forge
freexl 1.0.5 vc14_0 [vc14] conda-forge
gdal 2.2.4 py36h2fc6367_1 conda-forge
geopandas 0.4.0 <pip>
geos 3.6.2 he025d50_3 conda-forge
geotiff 1.4.2 vc14_1 [vc14] conda-forge
graphviz 0.9 <pip>
hdf4 4.2.13 vc14_0 [vc14] conda-forge
hdf5 1.10.2 vc14_0 [vc14] conda-forge
heapdict 1.0.0 py36_1000 conda-forge
html5lib 1.0.1 py_0 conda-forge
icc_rt 2017.0.4 h97af966_0
icu 58.2 vc14_0 [vc14] conda-forge
idna 2.7 py36_1002 conda-forge
intel-openmp 2019.0 118
ipykernel 5.0.0 pyh24bf2e0_1 conda-forge
ipython 7.0.1 py36h39e3cac_0 conda-forge
ipython_genutils 0.2.0 py_1 conda-forge
ipywidgets 7.4.2 py_0 conda-forge
isoweek 1.3.3 <pip>
jedi 0.13.1 py36_1000 conda-forge
jinja2 2.10 py_1 conda-forge
jmespath 0.9.3 py_1 conda-forge
jpeg 9c hfa6e2cd_1001 conda-forge
jsonschema 2.6.0 py36_1002 conda-forge
jupyter 1.0.0 py_1 conda-forge
jupyter_client 5.2.3 py_1 conda-forge
jupyter_console 6.0.0 py_0 conda-forge
jupyter_core 4.4.0 py_0 conda-forge
kaggle-cli 0.12.13 <pip>
kealib 1.4.9 h4380d0d_2 conda-forge
kiwisolver 1.0.1 py36he980bc4_1002 conda-forge
krb5 1.14.6 vc14_0 [vc14] conda-forge
libgdal 2.2.4 h47ac16f_8 conda-forge
libiconv 1.15 hfa6e2cd_1003 conda-forge
libnetcdf 4.6.1 ha2173a7_8 conda-forge
libpng 1.6.35 h7602738_1002 conda-forge
libpq 9.6.3 vc14_0 [vc14] conda-forge
libsodium 1.0.16 vc14_0 [vc14] conda-forge
libspatialite 4.3.0a h582a839_1023 conda-forge
libssh2 1.8.0 hc4dcbb0_1002 conda-forge
libtiff 4.0.9 vc14_0 [vc14] conda-forge
libxml2 2.9.8 h9ce36c8_1005 conda-forge
locket 0.2.0 py_2 conda-forge
lxml 4.0.0 <pip>
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 1.0 py36hfa6e2cd_1001 conda-forge
matplotlib 3.0.0 py36h7b168c4_1 conda-forge
MechanicalSoup 0.8.0 <pip>
mistune 0.8.3 py36hfa6e2cd_1002 conda-forge
mizani 0.4.6 <pip>
mkl 2019.0 118
mkl_fft 1.0.6 py36_0 conda-forge
mkl_random 1.0.1 py36_0 conda-forge
more-itertools 4.3.0 py36_1000 conda-forge
msgpack-numpy 0.4.3.2 py_0 conda-forge
msgpack-python 0.5.6 py36he980bc4_1003 conda-forge
msys2-conda-epoch 20160418 1
munch 2.3.2 py_0 conda-forge
murmurhash 0.28.0 py36_vc14_0 [vc14] conda-forge
nbconvert 5.3.1 py_1 conda-forge
nbformat 4.4.0 py_1 conda-forge
notebook 5.7.0 py36_1000 conda-forge
numexpr 2.6.6 py36_0 conda-forge
numpy 1.15.2 py36ha559c80_0
numpy-base 1.15.2 py36h8128ebf_0
olefile 0.46 py_0 conda-forge
opencv-python 3.4.3.18 <pip>
openjpeg 2.3.0 h25a6d84_1003 conda-forge
openssl 1.0.2p hfa6e2cd_1000 conda-forge
packaging 18.0 py_0 conda-forge
palettable 3.1.1 <pip>
pandas 0.23.4 py36h830ac7b_0 conda-forge
pandas-summary 0.0.5 <pip>
pandoc 2.3.1 0 conda-forge
pandocfilters 1.4.2 py_1 conda-forge
parso 0.3.1 py_0 conda-forge
partd 0.3.8 py_1 conda-forge
path.py 11.0.1 py_0 conda-forge
patsy 0.5.0 py_1 conda-forge
pbr 4.3.0 <pip>
pcre 8.41 vc14_1 [vc14] conda-forge
pexpect 4.6.0 py36_1000 conda-forge
pickleshare 0.7.5 py36_1000 conda-forge
pillow 5.3.0 py36h9a613e6_1000 conda-forge
pip 18.1 py36_1000 conda-forge
plac 0.9.6 py_1 conda-forge
plotnine 0.4.0 <pip>
pluggy 0.7.1 py_0 conda-forge
preshed 1.0.0 py36_vc14_0 [vc14] conda-forge
prettytable 0.7.2 <pip>
progressbar2 3.34.3 <pip>
proj4 4.9.3 vc14_5 [vc14] conda-forge
prometheus_client 0.4.0 py_0 conda-forge
prompt_toolkit 2.0.5 py_0 conda-forge
psutil 5.4.7 py36hfa6e2cd_1001 conda-forge
py 1.6.0 py_0 conda-forge
pyarrow 0.10.0 <pip>
pycparser 2.19 py_0 conda-forge
pygments 2.2.0 py_1 conda-forge
PyHamcrest 1.9.0 <pip>
pyopenssl 18.0.0 py36_0 conda-forge
pyparsing 2.2.2 py_0 conda-forge
pyperclip 1.7.0 <pip>
pyproj 1.9.5.1 py36_0
pyqt 5.6.0 py36h764d66f_7 conda-forge
pyreadline 2.1 py36_1000 conda-forge
pysocks 1.6.8 py36_1002 conda-forge
pytables 3.4.4 py36h7e76658_1 conda-forge
pytest 3.8.2 py36_1000 conda-forge
python 3.6.6 he025d50_0 conda-forge
python-dateutil 2.7.3 py_0 conda-forge
python-utils 2.3.0 <pip>
pytorch 0.3.1 py36_cuda90_cudnn7he774522_2 [cuda90]
peterjc123
pytz 2018.5 py_0 conda-forge
pywinpty 0.5.4 py36_1002 conda-forge
pyyaml 3.13 py36hfa6e2cd_1001 conda-forge
pyzmq 17.1.2 py36hf576995_1000 conda-forge
qt 5.6.2 vc14_1 [vc14] conda-forge
qtconsole 4.4.1 py36_1 conda-forge
regex 2017.11.09 py36_0 conda-forge
requests 2.19.1 py36_1 conda-forge
s3transfer 0.1.13 py36_1001 conda-forge
scikit-learn 0.20.0 <pip>
scipy 1.1.0 py36h4f6bf74_1
seaborn 0.9.0 py_0 conda-forge
send2trash 1.5.0 py_0 conda-forge
setuptools 40.4.3 py36_0 conda-forge
shapely 1.6.4 py36hc90234e_0
simplegeneric 0.8.1 py_1 conda-forge
sip 4.18.1 py36h6538335_0 conda-forge
six 1.11.0 py36_1001 conda-forge
sklearn-pandas 1.7.0 <pip>
sortedcontainers 2.0.5 py_0 conda-forge
spacy 2.0.12 py36h830ac7b_0 conda-forge
sqlite 3.25.2 hfa6e2cd_1000 conda-forge
statsmodels 0.9.0 py36_0 conda-forge
stevedore 1.29.0 <pip>
tblib 1.3.2 py_1 conda-forge
termcolor 1.1.0 py_2 conda-forge
terminado 0.8.1 py36_1001 conda-forge
testfixtures 6.3.0 py_0 conda-forge
testpath 0.3.1 py36_1 conda-forge
thinc 6.10.3 py36h830ac7b_3 conda-forge
tk 8.6.8 vc14_0 [vc14] conda-forge
toolz 0.9.0 py_1 conda-forge
torchtext 0.2.3 <pip>
torchvision 0.2.1 <pip>
tornado 4.5.3 py36_0 conda-forge
tqdm 4.26.0 py_0 conda-forge
traitlets 4.3.2 py36_1000 conda-forge
ujson 1.35 py36hfa6e2cd_1001 conda-forge
urllib3 1.23 py36_1 conda-forge
vc 14 0 conda-forge
vs2015_runtime 14.0.25420 0 conda-forge
wcwidth 0.1.7 py_1 conda-forge
webencodings 0.5.1 py_1 conda-forge
wheel 0.32.1 py36_0 conda-forge
widgetsnbextension 3.4.2 py36_1000 conda-forge
win_inet_pton 1.0.1 py36_1002 conda-forge
wincertstore 0.2 py36_1002 conda-forge
winpty 0.4.3 4 conda-forge
wrapt 1.10.11 py36hfa6e2cd_1001 conda-forge
xerces-c 3.2.0 vc14_0 [vc14] conda-forge
xz 5.2.4 h2fa13f4_1001 conda-forge
yaml 0.1.7 vc14_0 [vc14] conda-forge
zeromq 4.2.5 vc14_2 [vc14] conda-forge
zict 0.1.3 py_0 conda-forge
zlib 1.2.11 vc14_0 [vc14] conda-forgeI’ve removed the dependency on pyproj now, so you should be ok to install without a windows compiler after you git pull.
Hi all,
Can anyone kindly help me with the installation of fast ai on windows 10. I dont have access to conda and git environment due to network restrictions.So im not able to install Fast ai libraries.so i used pip install and it gave the below error.
Command “python setup.py egg_info” failed with error code 1 in C:\Users\AppData\Local\Temp\pip-build-zi9bjbf2\torch\
my fastai\old\fastai folder did not have any files in it, just folders.
so i copied the one from the repo.
