I am not able to install pytorch or torchvision using conda.
Below is the stacktrace:
$ conda install pytorch torchvision -c pytorch
Solving environment: done
## Package Plan ##
environment location: /home/ubuntu/anaconda3
added / updated specs:
- pytorch
- torchvision
The following NEW packages will be INSTALLED:
ninja: 1.8.2-py37h6bb024c_1
pytorch: 0.4.1-py37_py36_py35_py27__9.0.176_7.1.2_2 pytorch
torchvision: 0.2.1-py37_1 pytorch
Proceed ([y]/n)? y
Preparing transaction: failed
# >>>>>>>>>>>>>>>>>>>>>> ERROR REPORT <<<<<<<<<<<<<<<<<<<<<<
Traceback (most recent call last):
File "/home/ubuntu/anaconda3/lib/python3.7/site-packages/conda/exceptions.py", line 819, in __call__
return func(*args, **kwargs)
File "/home/ubuntu/anaconda3/lib/python3.7/site-packages/conda/cli/main.py", line 78, in _main
exit_code = do_call(args, p)
File "/home/ubuntu/anaconda3/lib/python3.7/site-packages/conda/cli/conda_argparse.py", line 77, in do_call
exit_code = getattr(module, func_name)(args, parser)
File "/home/ubuntu/anaconda3/lib/python3.7/site-packages/conda/cli/main_install.py", line 11, in execute
install(args, parser, 'install')
File "/home/ubuntu/anaconda3/lib/python3.7/site-packages/conda/cli/install.py", line 253, in install
handle_txn(unlink_link_transaction, prefix, args, newenv)
File "/home/ubuntu/anaconda3/lib/python3.7/site-packages/conda/cli/install.py", line 282, in handle_txn
unlink_link_transaction.execute()
File "/home/ubuntu/anaconda3/lib/python3.7/site-packages/conda/core/link.py", line 223, in execute
self.verify()
File "/home/ubuntu/anaconda3/lib/python3.7/site-packages/conda/common/io.py", line 46, in decorated
return f(*args, **kwds)
File "/home/ubuntu/anaconda3/lib/python3.7/site-packages/conda/core/link.py", line 200, in verify
self.prepare()
File "/home/ubuntu/anaconda3/lib/python3.7/site-packages/conda/core/link.py", line 192, in prepare
stp.remove_specs, stp.update_specs)
File "/home/ubuntu/anaconda3/lib/python3.7/site-packages/conda/core/link.py", line 282, in _prepare
mkdir_p(transaction_context['temp_dir'])
File "/home/ubuntu/anaconda3/lib/python3.7/site-packages/conda/gateways/disk/__init__.py", line 60, in mkdir_p
makedirs(path)
File "/home/ubuntu/anaconda3/lib/python3.7/os.py", line 221, in makedirs
mkdir(name, mode)
PermissionError: [Errno 13] Permission denied: '/home/ubuntu/anaconda3/.condatmp'
`$ /home/ubuntu/anaconda3/bin/conda install pytorch torchvision -c pytorch`
environment variables:
CIO_TEST=<not set>
CONDA_DEFAULT_ENV=base
CONDA_EXE=/home/ubuntu/anaconda3/bin/conda
CONDA_PREFIX=/home/ubuntu/anaconda3
CONDA_PROMPT_MODIFIER=
CONDA_PYTHON_EXE=/home/ubuntu/anaconda3/bin/python
CONDA_ROOT=/home/ubuntu/anaconda3
CONDA_SHLVL=1
LD_LIBRARY_PATH=/usr/local/cuda-9.0/lib64:
PATH=/usr/local/cuda-9.0/bin:/home/ubuntu/bin:/home/ubuntu/.local/bin:/home
/ubuntu/anaconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bi
n:/sbin:/bin:/usr/games:/usr/local/games:/snap/bin
REQUESTS_CA_BUNDLE=<not set>
SSL_CERT_FILE=<not set>
active environment : base
active env location : /home/ubuntu/anaconda3
shell level : 1
user config file : /home/ubuntu/.condarc
populated config files :
conda version : 4.5.11
conda-build version : 3.15.1
python version : 3.7.0.final.0
base environment : /home/ubuntu/anaconda3 (read only)
channel URLs : https://conda.anaconda.org/pytorch/linux-64
https://conda.anaconda.org/pytorch/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
package cache : /home/ubuntu/anaconda3/pkgs
/home/ubuntu/.conda/pkgs
envs directories : /home/ubuntu/.conda/envs
/home/ubuntu/anaconda3/envs
platform : linux-64
user-agent : conda/4.5.11 requests/2.19.1 CPython/3.7.0 Linux/4.15.0-36-generic ubuntu/16.04 glibc/2.23
UID:GID : 1000:1000
netrc file : None
offline mode : False
An unexpected error has occurred. Conda has prepared the above report.
If submitted, this report will be used by core maintainers to improve
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[y/N]:
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$ conda config --set report_errors false