mirror of
https://github.com/saymrwulf/pytorch.git
synced 2026-05-14 20:57:59 +00:00
Remove old references to 9.2 in documentation (#65059)
Summary: Removes references in .rst and README.md and comments in the Dockerfile Pull Request resolved: https://github.com/pytorch/pytorch/pull/65059 Reviewed By: malfet Differential Revision: D30961110 Pulled By: janeyx99 fbshipit-source-id: 702a9a81bf08125ec4ac38bc656fc2c128c30018
This commit is contained in:
parent
4c15f8e8b4
commit
4c4c03124b
3 changed files with 2 additions and 7 deletions
|
|
@ -174,7 +174,7 @@ You will get a high-quality BLAS library (MKL) and you get controlled dependency
|
|||
Once you have [Anaconda](https://www.anaconda.com/distribution/#download-section) installed, here are the instructions.
|
||||
|
||||
If you want to compile with CUDA support, install
|
||||
- [NVIDIA CUDA](https://developer.nvidia.com/cuda-downloads) 9.2 or above
|
||||
- [NVIDIA CUDA](https://developer.nvidia.com/cuda-downloads) 10.2 or above
|
||||
- [NVIDIA cuDNN](https://developer.nvidia.com/cudnn) v7 or above
|
||||
- [Compiler](https://gist.github.com/ax3l/9489132) compatible with CUDA
|
||||
Note: You could refer to the [cuDNN Support Matrix](https://docs.nvidia.com/deeplearning/cudnn/pdf/cuDNN-Support-Matrix.pdf) for cuDNN versions with the various supported CUDA, CUDA driver and NVIDIA hardwares
|
||||
|
|
|
|||
|
|
@ -5,20 +5,17 @@
|
|||
# nvidia/cuda:11.2.1-cudnn8-devel-ubuntu18.04
|
||||
# nvidia/cuda:10.2-cudnn8-devel-ubuntu18.04
|
||||
# nvidia/cuda:10.1-cudnn7-devel-ubuntu18.04
|
||||
# nvidia/cuda:9.2-cudnn7-devel-ubuntu18.04
|
||||
#
|
||||
# Available MAGMA_CUDA_VERSION options (for GPU/CUDA builds):
|
||||
# magma-cuda112
|
||||
# magma-cuda111
|
||||
# magma-cuda102
|
||||
# magma-cuda101
|
||||
# magma-cuda92
|
||||
#
|
||||
# Available TORCH_CUDA_ARCH_LIST_VAR options (for GPU/CUDA builds):
|
||||
# "3.7+PTX;5.0;6.0;6.1;7.0;7.5;8.0;8.6" for CUDA 11.2/11.1
|
||||
# "3.7+PTX;5.0;6.0;6.1;7.0;7.5;8.0" for CUDA 11.0
|
||||
# "3.7+PTX;5.0;6.0;6.1;7.0;7.5" for CUDA 10.2/10.1
|
||||
# "3.7+PTX;5.0;6.0;6.1;7.0" for CUDA 9.2
|
||||
#
|
||||
# Build image with CPU or GPU support with the following command:
|
||||
# nvidia-docker build -t ${CONTAINER_TAG}
|
||||
|
|
|
|||
|
|
@ -24,9 +24,7 @@ MKL and MAGMA. Here are the steps to build with them.
|
|||
REM 2.5.3 (CUDA 10.1 10.2 11.0) x (Debug Release)
|
||||
REM 2.5.2 (CUDA 9.2 10.0 10.1 10.2) x (Debug Release)
|
||||
REM 2.5.1 (CUDA 9.2 10.0 10.1 10.2) x (Debug Release)
|
||||
REM 2.5.0 (CUDA 9.0 9.2 10.0 10.1) x (Debug Release)
|
||||
REM 2.4.0 (CUDA 8.0 9.2) x (Release)
|
||||
set CUDA_PREFIX=cuda101
|
||||
set CUDA_PREFIX=cuda102
|
||||
set CONFIG=release
|
||||
curl -k https://s3.amazonaws.com/ossci-windows/magma_2.5.4_%CUDA_PREFIX%_%CONFIG%.7z -o magma.7z
|
||||
7z x -aoa magma.7z -omagma
|
||||
|
|
|
|||
Loading…
Reference in a new issue