When using Pytorch-GPU in Anaconda, is it not necessary to install CUDA?
-1
I found that after installing Pytorch 0.4 GPU version in Anaconda, you don't need to install CUDA locally to call gpu acceleration. When running code, the GPU core can be used at more than 90%.
Edit:I used it in Windows 10. Don't know if it works in Linux.
cuda anaconda pytorch
asked Nov 14 '18 at 1:57
laridzhanglaridzhang
655
add a comment |
-1
I found that after installing Pytorch 0.4 GPU version in Anaconda, you don't need to install CUDA locally to call gpu acceleration. When running code, the GPU core can be used at more than 90%.
Edit:I used it in Windows 10. Don't know if it works in Linux.
cuda anaconda pytorch
asked Nov 14 '18 at 1:57
laridzhanglaridzhang
655
Look closer and you will probably see that Anaconda installed CUDA
– talonmies
Nov 14 '18 at 7:31
@talonmies No, I didn't find cuda. I enteredconda listin thebaseenvironment and the virtual environment I used, and I didn't findcudatoolkitorcudnn.
– laridzhang
Nov 16 '18 at 4:07
On my system (and every conda system I have ever used), pytorch has a built-in dependency for both CUDA and CUDNN: pastebin.com/yT63P0qz
– talonmies
Nov 16 '18 at 7:50
add a comment |
-1
-1
-1
I found that after installing Pytorch 0.4 GPU version in Anaconda, you don't need to install CUDA locally to call gpu acceleration. When running code, the GPU core can be used at more than 90%.
Edit:I used it in Windows 10. Don't know if it works in Linux.
cuda anaconda pytorch
asked Nov 14 '18 at 1:57
laridzhanglaridzhang
655
I found that after installing Pytorch 0.4 GPU version in Anaconda, you don't need to install CUDA locally to call gpu acceleration. When running code, the GPU core can be used at more than 90%.
Edit:I used it in Windows 10. Don't know if it works in Linux.
cuda anaconda pytorch
cuda anaconda pytorch
asked Nov 14 '18 at 1:57
laridzhanglaridzhang
655
asked Nov 14 '18 at 1:57
laridzhanglaridzhang
655
edited Nov 16 '18 at 4:09
laridzhang
asked Nov 14 '18 at 1:57
laridzhanglaridzhang
655
asked Nov 14 '18 at 1:57
laridzhanglaridzhang
655
asked Nov 14 '18 at 1:57
laridzhanglaridzhang
655
655
Look closer and you will probably see that Anaconda installed CUDA
– talonmies
Nov 14 '18 at 7:31
@talonmies No, I didn't find cuda. I enteredconda listin thebaseenvironment and the virtual environment I used, and I didn't findcudatoolkitorcudnn.
– laridzhang
Nov 16 '18 at 4:07
On my system (and every conda system I have ever used), pytorch has a built-in dependency for both CUDA and CUDNN: pastebin.com/yT63P0qz
– talonmies
Nov 16 '18 at 7:50
add a comment |
Look closer and you will probably see that Anaconda installed CUDA
– talonmies
Nov 14 '18 at 7:31
@talonmies No, I didn't find cuda. I enteredconda listin thebaseenvironment and the virtual environment I used, and I didn't findcudatoolkitorcudnn.
– laridzhang
Nov 16 '18 at 4:07
On my system (and every conda system I have ever used), pytorch has a built-in dependency for both CUDA and CUDNN: pastebin.com/yT63P0qz
– talonmies
Nov 16 '18 at 7:50
Look closer and you will probably see that Anaconda installed CUDA
– talonmies
Nov 14 '18 at 7:31
Look closer and you will probably see that Anaconda installed CUDA
– talonmies
Nov 14 '18 at 7:31
@talonmies No, I didn't find cuda. I entered
conda list in the base environment and the virtual environment I used, and I didn't find cudatoolkit or cudnn.– laridzhang
Nov 16 '18 at 4:07
@talonmies No, I didn't find cuda. I entered
conda list in the base environment and the virtual environment I used, and I didn't find cudatoolkit or cudnn.– laridzhang
Nov 16 '18 at 4:07
On my system (and every conda system I have ever used), pytorch has a built-in dependency for both CUDA and CUDNN: pastebin.com/yT63P0qz
– talonmies
Nov 16 '18 at 7:50
On my system (and every conda system I have ever used), pytorch has a built-in dependency for both CUDA and CUDNN: pastebin.com/yT63P0qz
– talonmies
Nov 16 '18 at 7:50
add a comment |
1 Answer
1
active
oldest
votes
1
@talonmies
Thanks for your url. It seems that pytorch don't need cuda in Windows, since its dependencies are cffi, mkl, numpy, and python.
I entered this command conda search -c pytorch pytorch=0.4.0 --info in Anaconda Prompt and it says
Loading channels: done
pytorch 0.4.0 py35_cuda80_cudnn7he774522_1
------------------------------------------
file name : pytorch-0.4.0-py35_cuda80_cudnn7he774522_1.tar.bz2
name : pytorch
version : 0.4.0
build string: py35_cuda80_cudnn7he774522_1
build number: 1
size : 528.5 MB
arch : x86_64
constrains : ()
platform : Platform.win
license : BSD 3-Clause
subdir : win-64
url : https://conda.anaconda.org/pytorch/win-64/pytorch-0.4.0-py35_cuda80_cudnn7he774522_1.tar.bz2
md5 : 7db3971bb054079d7c7ff84b6286c58e
dependencies:
- cffi
- mkl >=2018
- numpy >=1.11
- python >=3.5,<3.6.0a0
pytorch 0.4.0 py35_cuda90_cudnn7he774522_1
------------------------------------------
file name : pytorch-0.4.0-py35_cuda90_cudnn7he774522_1.tar.bz2
name : pytorch
version : 0.4.0
build string: py35_cuda90_cudnn7he774522_1
build number: 1
size : 578.5 MB
arch : x86_64
constrains : ()
platform : Platform.win
license : BSD 3-Clause
subdir : win-64
url : https://conda.anaconda.org/pytorch/win-64/pytorch-0.4.0-py35_cuda90_cudnn7he774522_1.tar.bz2
md5 : 8200c9841f9cad6f2e605015812aa3f2
dependencies:
- cffi
- mkl >=2018
- numpy >=1.11
- python >=3.5,<3.6.0a0
pytorch 0.4.0 py35_cuda91_cudnn7he774522_1
------------------------------------------
file name : pytorch-0.4.0-py35_cuda91_cudnn7he774522_1.tar.bz2
name : pytorch
version : 0.4.0
build string: py35_cuda91_cudnn7he774522_1
build number: 1
size : 546.1 MB
arch : x86_64
constrains : ()
platform : Platform.win
license : BSD 3-Clause
subdir : win-64
url : https://conda.anaconda.org/pytorch/win-64/pytorch-0.4.0-py35_cuda91_cudnn7he774522_1.tar.bz2
md5 : 79d99a825f66b55b1aa6f04d22d68aac
dependencies:
- cffi
- mkl >=2018
- numpy >=1.11
- python >=3.5,<3.6.0a0
pytorch 0.4.0 py36_cuda80_cudnn7he774522_1
------------------------------------------
file name : pytorch-0.4.0-py36_cuda80_cudnn7he774522_1.tar.bz2
name : pytorch
version : 0.4.0
build string: py36_cuda80_cudnn7he774522_1
build number: 1
size : 529.2 MB
arch : x86_64
constrains : ()
platform : Platform.win
license : BSD 3-Clause
subdir : win-64
url : https://conda.anaconda.org/pytorch/win-64/pytorch-0.4.0-py36_cuda80_cudnn7he774522_1.tar.bz2
md5 : 27d20c9869fb57ffe0d6d014cf348855
dependencies:
- cffi
- mkl >=2018
- numpy >=1.11
- python >=3.6,<3.7.0a0
pytorch 0.4.0 py36_cuda90_cudnn7he774522_1
------------------------------------------
file name : pytorch-0.4.0-py36_cuda90_cudnn7he774522_1.tar.bz2
name : pytorch
version : 0.4.0
build string: py36_cuda90_cudnn7he774522_1
build number: 1
size : 577.6 MB
arch : x86_64
constrains : ()
platform : Platform.win
license : BSD 3-Clause
subdir : win-64
url : https://conda.anaconda.org/pytorch/win-64/pytorch-0.4.0-py36_cuda90_cudnn7he774522_1.tar.bz2
md5 : 138dcca8eeff1d58a8fd9b1febf702f6
dependencies:
- cffi
- mkl >=2018
- numpy >=1.11
- python >=3.6,<3.7.0a0
pytorch 0.4.0 py36_cuda91_cudnn7he774522_1
------------------------------------------
file name : pytorch-0.4.0-py36_cuda91_cudnn7he774522_1.tar.bz2
name : pytorch
version : 0.4.0
build string: py36_cuda91_cudnn7he774522_1
build number: 1
size : 546.4 MB
arch : x86_64
constrains : ()
platform : Platform.win
license : BSD 3-Clause
subdir : win-64
url : https://conda.anaconda.org/pytorch/win-64/pytorch-0.4.0-py36_cuda91_cudnn7he774522_1.tar.bz2
md5 : 326265665000de6f7501160b10b089c8
dependencies:
- cffi
- mkl >=2018
- numpy >=1.11
- python >=3.6,<3.7.0a0
answered Nov 16 '18 at 9:59
laridzhanglaridzhang
655
add a comment |
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1 Answer
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1 Answer
1
active
oldest
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active
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votes
active
oldest
votes
1
@talonmies
Thanks for your url. It seems that pytorch don't need cuda in Windows, since its dependencies are cffi, mkl, numpy, and python.
I entered this command conda search -c pytorch pytorch=0.4.0 --info in Anaconda Prompt and it says
Loading channels: done
pytorch 0.4.0 py35_cuda80_cudnn7he774522_1
------------------------------------------
file name : pytorch-0.4.0-py35_cuda80_cudnn7he774522_1.tar.bz2
name : pytorch
version : 0.4.0
build string: py35_cuda80_cudnn7he774522_1
build number: 1
size : 528.5 MB
arch : x86_64
constrains : ()
platform : Platform.win
license : BSD 3-Clause
subdir : win-64
url : https://conda.anaconda.org/pytorch/win-64/pytorch-0.4.0-py35_cuda80_cudnn7he774522_1.tar.bz2
md5 : 7db3971bb054079d7c7ff84b6286c58e
dependencies:
- cffi
- mkl >=2018
- numpy >=1.11
- python >=3.5,<3.6.0a0
pytorch 0.4.0 py35_cuda90_cudnn7he774522_1
------------------------------------------
file name : pytorch-0.4.0-py35_cuda90_cudnn7he774522_1.tar.bz2
name : pytorch
version : 0.4.0
build string: py35_cuda90_cudnn7he774522_1
build number: 1
size : 578.5 MB
arch : x86_64
constrains : ()
platform : Platform.win
license : BSD 3-Clause
subdir : win-64
url : https://conda.anaconda.org/pytorch/win-64/pytorch-0.4.0-py35_cuda90_cudnn7he774522_1.tar.bz2
md5 : 8200c9841f9cad6f2e605015812aa3f2
dependencies:
- cffi
- mkl >=2018
- numpy >=1.11
- python >=3.5,<3.6.0a0
pytorch 0.4.0 py35_cuda91_cudnn7he774522_1
------------------------------------------
file name : pytorch-0.4.0-py35_cuda91_cudnn7he774522_1.tar.bz2
name : pytorch
version : 0.4.0
build string: py35_cuda91_cudnn7he774522_1
build number: 1
size : 546.1 MB
arch : x86_64
constrains : ()
platform : Platform.win
license : BSD 3-Clause
subdir : win-64
url : https://conda.anaconda.org/pytorch/win-64/pytorch-0.4.0-py35_cuda91_cudnn7he774522_1.tar.bz2
md5 : 79d99a825f66b55b1aa6f04d22d68aac
dependencies:
- cffi
- mkl >=2018
- numpy >=1.11
- python >=3.5,<3.6.0a0
pytorch 0.4.0 py36_cuda80_cudnn7he774522_1
------------------------------------------
file name : pytorch-0.4.0-py36_cuda80_cudnn7he774522_1.tar.bz2
name : pytorch
version : 0.4.0
build string: py36_cuda80_cudnn7he774522_1
build number: 1
size : 529.2 MB
arch : x86_64
constrains : ()
platform : Platform.win
license : BSD 3-Clause
subdir : win-64
url : https://conda.anaconda.org/pytorch/win-64/pytorch-0.4.0-py36_cuda80_cudnn7he774522_1.tar.bz2
md5 : 27d20c9869fb57ffe0d6d014cf348855
dependencies:
- cffi
- mkl >=2018
- numpy >=1.11
- python >=3.6,<3.7.0a0
pytorch 0.4.0 py36_cuda90_cudnn7he774522_1
------------------------------------------
file name : pytorch-0.4.0-py36_cuda90_cudnn7he774522_1.tar.bz2
name : pytorch
version : 0.4.0
build string: py36_cuda90_cudnn7he774522_1
build number: 1
size : 577.6 MB
arch : x86_64
constrains : ()
platform : Platform.win
license : BSD 3-Clause
subdir : win-64
url : https://conda.anaconda.org/pytorch/win-64/pytorch-0.4.0-py36_cuda90_cudnn7he774522_1.tar.bz2
md5 : 138dcca8eeff1d58a8fd9b1febf702f6
dependencies:
- cffi
- mkl >=2018
- numpy >=1.11
- python >=3.6,<3.7.0a0
pytorch 0.4.0 py36_cuda91_cudnn7he774522_1
------------------------------------------
file name : pytorch-0.4.0-py36_cuda91_cudnn7he774522_1.tar.bz2
name : pytorch
version : 0.4.0
build string: py36_cuda91_cudnn7he774522_1
build number: 1
size : 546.4 MB
arch : x86_64
constrains : ()
platform : Platform.win
license : BSD 3-Clause
subdir : win-64
url : https://conda.anaconda.org/pytorch/win-64/pytorch-0.4.0-py36_cuda91_cudnn7he774522_1.tar.bz2
md5 : 326265665000de6f7501160b10b089c8
dependencies:
- cffi
- mkl >=2018
- numpy >=1.11
- python >=3.6,<3.7.0a0
answered Nov 16 '18 at 9:59
laridzhanglaridzhang
655
add a comment |
1
@talonmies
Thanks for your url. It seems that pytorch don't need cuda in Windows, since its dependencies are cffi, mkl, numpy, and python.
I entered this command conda search -c pytorch pytorch=0.4.0 --info in Anaconda Prompt and it says
Loading channels: done
pytorch 0.4.0 py35_cuda80_cudnn7he774522_1
------------------------------------------
file name : pytorch-0.4.0-py35_cuda80_cudnn7he774522_1.tar.bz2
name : pytorch
version : 0.4.0
build string: py35_cuda80_cudnn7he774522_1
build number: 1
size : 528.5 MB
arch : x86_64
constrains : ()
platform : Platform.win
license : BSD 3-Clause
subdir : win-64
url : https://conda.anaconda.org/pytorch/win-64/pytorch-0.4.0-py35_cuda80_cudnn7he774522_1.tar.bz2
md5 : 7db3971bb054079d7c7ff84b6286c58e
dependencies:
- cffi
- mkl >=2018
- numpy >=1.11
- python >=3.5,<3.6.0a0
pytorch 0.4.0 py35_cuda90_cudnn7he774522_1
------------------------------------------
file name : pytorch-0.4.0-py35_cuda90_cudnn7he774522_1.tar.bz2
name : pytorch
version : 0.4.0
build string: py35_cuda90_cudnn7he774522_1
build number: 1
size : 578.5 MB
arch : x86_64
constrains : ()
platform : Platform.win
license : BSD 3-Clause
subdir : win-64
url : https://conda.anaconda.org/pytorch/win-64/pytorch-0.4.0-py35_cuda90_cudnn7he774522_1.tar.bz2
md5 : 8200c9841f9cad6f2e605015812aa3f2
dependencies:
- cffi
- mkl >=2018
- numpy >=1.11
- python >=3.5,<3.6.0a0
pytorch 0.4.0 py35_cuda91_cudnn7he774522_1
------------------------------------------
file name : pytorch-0.4.0-py35_cuda91_cudnn7he774522_1.tar.bz2
name : pytorch
version : 0.4.0
build string: py35_cuda91_cudnn7he774522_1
build number: 1
size : 546.1 MB
arch : x86_64
constrains : ()
platform : Platform.win
license : BSD 3-Clause
subdir : win-64
url : https://conda.anaconda.org/pytorch/win-64/pytorch-0.4.0-py35_cuda91_cudnn7he774522_1.tar.bz2
md5 : 79d99a825f66b55b1aa6f04d22d68aac
dependencies:
- cffi
- mkl >=2018
- numpy >=1.11
- python >=3.5,<3.6.0a0
pytorch 0.4.0 py36_cuda80_cudnn7he774522_1
------------------------------------------
file name : pytorch-0.4.0-py36_cuda80_cudnn7he774522_1.tar.bz2
name : pytorch
version : 0.4.0
build string: py36_cuda80_cudnn7he774522_1
build number: 1
size : 529.2 MB
arch : x86_64
constrains : ()
platform : Platform.win
license : BSD 3-Clause
subdir : win-64
url : https://conda.anaconda.org/pytorch/win-64/pytorch-0.4.0-py36_cuda80_cudnn7he774522_1.tar.bz2
md5 : 27d20c9869fb57ffe0d6d014cf348855
dependencies:
- cffi
- mkl >=2018
- numpy >=1.11
- python >=3.6,<3.7.0a0
pytorch 0.4.0 py36_cuda90_cudnn7he774522_1
------------------------------------------
file name : pytorch-0.4.0-py36_cuda90_cudnn7he774522_1.tar.bz2
name : pytorch
version : 0.4.0
build string: py36_cuda90_cudnn7he774522_1
build number: 1
size : 577.6 MB
arch : x86_64
constrains : ()
platform : Platform.win
license : BSD 3-Clause
subdir : win-64
url : https://conda.anaconda.org/pytorch/win-64/pytorch-0.4.0-py36_cuda90_cudnn7he774522_1.tar.bz2
md5 : 138dcca8eeff1d58a8fd9b1febf702f6
dependencies:
- cffi
- mkl >=2018
- numpy >=1.11
- python >=3.6,<3.7.0a0
pytorch 0.4.0 py36_cuda91_cudnn7he774522_1
------------------------------------------
file name : pytorch-0.4.0-py36_cuda91_cudnn7he774522_1.tar.bz2
name : pytorch
version : 0.4.0
build string: py36_cuda91_cudnn7he774522_1
build number: 1
size : 546.4 MB
arch : x86_64
constrains : ()
platform : Platform.win
license : BSD 3-Clause
subdir : win-64
url : https://conda.anaconda.org/pytorch/win-64/pytorch-0.4.0-py36_cuda91_cudnn7he774522_1.tar.bz2
md5 : 326265665000de6f7501160b10b089c8
dependencies:
- cffi
- mkl >=2018
- numpy >=1.11
- python >=3.6,<3.7.0a0
answered Nov 16 '18 at 9:59
laridzhanglaridzhang
655
add a comment |
1
1
1
@talonmies
Thanks for your url. It seems that pytorch don't need cuda in Windows, since its dependencies are cffi, mkl, numpy, and python.
I entered this command conda search -c pytorch pytorch=0.4.0 --info in Anaconda Prompt and it says
Loading channels: done
pytorch 0.4.0 py35_cuda80_cudnn7he774522_1
------------------------------------------
file name : pytorch-0.4.0-py35_cuda80_cudnn7he774522_1.tar.bz2
name : pytorch
version : 0.4.0
build string: py35_cuda80_cudnn7he774522_1
build number: 1
size : 528.5 MB
arch : x86_64
constrains : ()
platform : Platform.win
license : BSD 3-Clause
subdir : win-64
url : https://conda.anaconda.org/pytorch/win-64/pytorch-0.4.0-py35_cuda80_cudnn7he774522_1.tar.bz2
md5 : 7db3971bb054079d7c7ff84b6286c58e
dependencies:
- cffi
- mkl >=2018
- numpy >=1.11
- python >=3.5,<3.6.0a0
pytorch 0.4.0 py35_cuda90_cudnn7he774522_1
------------------------------------------
file name : pytorch-0.4.0-py35_cuda90_cudnn7he774522_1.tar.bz2
name : pytorch
version : 0.4.0
build string: py35_cuda90_cudnn7he774522_1
build number: 1
size : 578.5 MB
arch : x86_64
constrains : ()
platform : Platform.win
license : BSD 3-Clause
subdir : win-64
url : https://conda.anaconda.org/pytorch/win-64/pytorch-0.4.0-py35_cuda90_cudnn7he774522_1.tar.bz2
md5 : 8200c9841f9cad6f2e605015812aa3f2
dependencies:
- cffi
- mkl >=2018
- numpy >=1.11
- python >=3.5,<3.6.0a0
pytorch 0.4.0 py35_cuda91_cudnn7he774522_1
------------------------------------------
file name : pytorch-0.4.0-py35_cuda91_cudnn7he774522_1.tar.bz2
name : pytorch
version : 0.4.0
build string: py35_cuda91_cudnn7he774522_1
build number: 1
size : 546.1 MB
arch : x86_64
constrains : ()
platform : Platform.win
license : BSD 3-Clause
subdir : win-64
url : https://conda.anaconda.org/pytorch/win-64/pytorch-0.4.0-py35_cuda91_cudnn7he774522_1.tar.bz2
md5 : 79d99a825f66b55b1aa6f04d22d68aac
dependencies:
- cffi
- mkl >=2018
- numpy >=1.11
- python >=3.5,<3.6.0a0
pytorch 0.4.0 py36_cuda80_cudnn7he774522_1
------------------------------------------
file name : pytorch-0.4.0-py36_cuda80_cudnn7he774522_1.tar.bz2
name : pytorch
version : 0.4.0
build string: py36_cuda80_cudnn7he774522_1
build number: 1
size : 529.2 MB
arch : x86_64
constrains : ()
platform : Platform.win
license : BSD 3-Clause
subdir : win-64
url : https://conda.anaconda.org/pytorch/win-64/pytorch-0.4.0-py36_cuda80_cudnn7he774522_1.tar.bz2
md5 : 27d20c9869fb57ffe0d6d014cf348855
dependencies:
- cffi
- mkl >=2018
- numpy >=1.11
- python >=3.6,<3.7.0a0
pytorch 0.4.0 py36_cuda90_cudnn7he774522_1
------------------------------------------
file name : pytorch-0.4.0-py36_cuda90_cudnn7he774522_1.tar.bz2
name : pytorch
version : 0.4.0
build string: py36_cuda90_cudnn7he774522_1
build number: 1
size : 577.6 MB
arch : x86_64
constrains : ()
platform : Platform.win
license : BSD 3-Clause
subdir : win-64
url : https://conda.anaconda.org/pytorch/win-64/pytorch-0.4.0-py36_cuda90_cudnn7he774522_1.tar.bz2
md5 : 138dcca8eeff1d58a8fd9b1febf702f6
dependencies:
- cffi
- mkl >=2018
- numpy >=1.11
- python >=3.6,<3.7.0a0
pytorch 0.4.0 py36_cuda91_cudnn7he774522_1
------------------------------------------
file name : pytorch-0.4.0-py36_cuda91_cudnn7he774522_1.tar.bz2
name : pytorch
version : 0.4.0
build string: py36_cuda91_cudnn7he774522_1
build number: 1
size : 546.4 MB
arch : x86_64
constrains : ()
platform : Platform.win
license : BSD 3-Clause
subdir : win-64
url : https://conda.anaconda.org/pytorch/win-64/pytorch-0.4.0-py36_cuda91_cudnn7he774522_1.tar.bz2
md5 : 326265665000de6f7501160b10b089c8
dependencies:
- cffi
- mkl >=2018
- numpy >=1.11
- python >=3.6,<3.7.0a0
answered Nov 16 '18 at 9:59
laridzhanglaridzhang
655
@talonmies
Thanks for your url. It seems that pytorch don't need cuda in Windows, since its dependencies are cffi, mkl, numpy, and python.
I entered this command conda search -c pytorch pytorch=0.4.0 --info in Anaconda Prompt and it says
Loading channels: done
pytorch 0.4.0 py35_cuda80_cudnn7he774522_1
------------------------------------------
file name : pytorch-0.4.0-py35_cuda80_cudnn7he774522_1.tar.bz2
name : pytorch
version : 0.4.0
build string: py35_cuda80_cudnn7he774522_1
build number: 1
size : 528.5 MB
arch : x86_64
constrains : ()
platform : Platform.win
license : BSD 3-Clause
subdir : win-64
url : https://conda.anaconda.org/pytorch/win-64/pytorch-0.4.0-py35_cuda80_cudnn7he774522_1.tar.bz2
md5 : 7db3971bb054079d7c7ff84b6286c58e
dependencies:
- cffi
- mkl >=2018
- numpy >=1.11
- python >=3.5,<3.6.0a0
pytorch 0.4.0 py35_cuda90_cudnn7he774522_1
------------------------------------------
file name : pytorch-0.4.0-py35_cuda90_cudnn7he774522_1.tar.bz2
name : pytorch
version : 0.4.0
build string: py35_cuda90_cudnn7he774522_1
build number: 1
size : 578.5 MB
arch : x86_64
constrains : ()
platform : Platform.win
license : BSD 3-Clause
subdir : win-64
url : https://conda.anaconda.org/pytorch/win-64/pytorch-0.4.0-py35_cuda90_cudnn7he774522_1.tar.bz2
md5 : 8200c9841f9cad6f2e605015812aa3f2
dependencies:
- cffi
- mkl >=2018
- numpy >=1.11
- python >=3.5,<3.6.0a0
pytorch 0.4.0 py35_cuda91_cudnn7he774522_1
------------------------------------------
file name : pytorch-0.4.0-py35_cuda91_cudnn7he774522_1.tar.bz2
name : pytorch
version : 0.4.0
build string: py35_cuda91_cudnn7he774522_1
build number: 1
size : 546.1 MB
arch : x86_64
constrains : ()
platform : Platform.win
license : BSD 3-Clause
subdir : win-64
url : https://conda.anaconda.org/pytorch/win-64/pytorch-0.4.0-py35_cuda91_cudnn7he774522_1.tar.bz2
md5 : 79d99a825f66b55b1aa6f04d22d68aac
dependencies:
- cffi
- mkl >=2018
- numpy >=1.11
- python >=3.5,<3.6.0a0
pytorch 0.4.0 py36_cuda80_cudnn7he774522_1
------------------------------------------
file name : pytorch-0.4.0-py36_cuda80_cudnn7he774522_1.tar.bz2
name : pytorch
version : 0.4.0
build string: py36_cuda80_cudnn7he774522_1
build number: 1
size : 529.2 MB
arch : x86_64
constrains : ()
platform : Platform.win
license : BSD 3-Clause
subdir : win-64
url : https://conda.anaconda.org/pytorch/win-64/pytorch-0.4.0-py36_cuda80_cudnn7he774522_1.tar.bz2
md5 : 27d20c9869fb57ffe0d6d014cf348855
dependencies:
- cffi
- mkl >=2018
- numpy >=1.11
- python >=3.6,<3.7.0a0
pytorch 0.4.0 py36_cuda90_cudnn7he774522_1
------------------------------------------
file name : pytorch-0.4.0-py36_cuda90_cudnn7he774522_1.tar.bz2
name : pytorch
version : 0.4.0
build string: py36_cuda90_cudnn7he774522_1
build number: 1
size : 577.6 MB
arch : x86_64
constrains : ()
platform : Platform.win
license : BSD 3-Clause
subdir : win-64
url : https://conda.anaconda.org/pytorch/win-64/pytorch-0.4.0-py36_cuda90_cudnn7he774522_1.tar.bz2
md5 : 138dcca8eeff1d58a8fd9b1febf702f6
dependencies:
- cffi
- mkl >=2018
- numpy >=1.11
- python >=3.6,<3.7.0a0
pytorch 0.4.0 py36_cuda91_cudnn7he774522_1
------------------------------------------
file name : pytorch-0.4.0-py36_cuda91_cudnn7he774522_1.tar.bz2
name : pytorch
version : 0.4.0
build string: py36_cuda91_cudnn7he774522_1
build number: 1
size : 546.4 MB
arch : x86_64
constrains : ()
platform : Platform.win
license : BSD 3-Clause
subdir : win-64
url : https://conda.anaconda.org/pytorch/win-64/pytorch-0.4.0-py36_cuda91_cudnn7he774522_1.tar.bz2
md5 : 326265665000de6f7501160b10b089c8
dependencies:
- cffi
- mkl >=2018
- numpy >=1.11
- python >=3.6,<3.7.0a0
answered Nov 16 '18 at 9:59
laridzhanglaridzhang
655
answered Nov 16 '18 at 9:59
laridzhanglaridzhang
655
answered Nov 16 '18 at 9:59
laridzhanglaridzhang
655
answered Nov 16 '18 at 9:59
laridzhanglaridzhang
655
655
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Look closer and you will probably see that Anaconda installed CUDA
– talonmies
Nov 14 '18 at 7:31
@talonmies No, I didn't find cuda. I entered
conda listin thebaseenvironment and the virtual environment I used, and I didn't findcudatoolkitorcudnn.– laridzhang
Nov 16 '18 at 4:07
On my system (and every conda system I have ever used), pytorch has a built-in dependency for both CUDA and CUDNN: pastebin.com/yT63P0qz
– talonmies
Nov 16 '18 at 7:50