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require pytorch 2.0+

Browse Source 
Summary: Problems with timeouts on old builds.

Reviewed By: MichaelRamamonjisoa

Differential Revision: D58819435

fbshipit-source-id: e1976534a102ad3841f3b297c772e916aeea12cb
This commit is contained in:
Jeremy Reizenstein 2024-06-21 08:15:17 -07:00 committed by Facebook GitHub Bot
parent 51d7c06ddd
commit 7980854d44
3 changed files with 1 additions and 173 deletions
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168
.circleci/config.yml
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@ -162,62 +162,6 @@ workflows:
jobs:
# - main:
# context: DOCKERHUB_TOKEN
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda113
context: DOCKERHUB_TOKEN
cu_version: cu113
name: linux_conda_py38_cu113_pyt1120
python_version: '3.8'
pytorch_version: 1.12.0
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda116
context: DOCKERHUB_TOKEN
cu_version: cu116
name: linux_conda_py38_cu116_pyt1120
python_version: '3.8'
pytorch_version: 1.12.0
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda113
context: DOCKERHUB_TOKEN
cu_version: cu113
name: linux_conda_py38_cu113_pyt1121
python_version: '3.8'
pytorch_version: 1.12.1
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda116
context: DOCKERHUB_TOKEN
cu_version: cu116
name: linux_conda_py38_cu116_pyt1121
python_version: '3.8'
pytorch_version: 1.12.1
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda116
context: DOCKERHUB_TOKEN
cu_version: cu116
name: linux_conda_py38_cu116_pyt1130
python_version: '3.8'
pytorch_version: 1.13.0
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda117
context: DOCKERHUB_TOKEN
cu_version: cu117
name: linux_conda_py38_cu117_pyt1130
python_version: '3.8'
pytorch_version: 1.13.0
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda116
context: DOCKERHUB_TOKEN
cu_version: cu116
name: linux_conda_py38_cu116_pyt1131
python_version: '3.8'
pytorch_version: 1.13.1
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda117
context: DOCKERHUB_TOKEN
cu_version: cu117
name: linux_conda_py38_cu117_pyt1131
python_version: '3.8'
pytorch_version: 1.13.1
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda117
context: DOCKERHUB_TOKEN
@ -330,62 +274,6 @@ workflows:
name: linux_conda_py38_cu121_pyt231
python_version: '3.8'
pytorch_version: 2.3.1
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda113
context: DOCKERHUB_TOKEN
cu_version: cu113
name: linux_conda_py39_cu113_pyt1120
python_version: '3.9'
pytorch_version: 1.12.0
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda116
context: DOCKERHUB_TOKEN
cu_version: cu116
name: linux_conda_py39_cu116_pyt1120
python_version: '3.9'
pytorch_version: 1.12.0
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda113
context: DOCKERHUB_TOKEN
cu_version: cu113
name: linux_conda_py39_cu113_pyt1121
python_version: '3.9'
pytorch_version: 1.12.1
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda116
context: DOCKERHUB_TOKEN
cu_version: cu116
name: linux_conda_py39_cu116_pyt1121
python_version: '3.9'
pytorch_version: 1.12.1
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda116
context: DOCKERHUB_TOKEN
cu_version: cu116
name: linux_conda_py39_cu116_pyt1130
python_version: '3.9'
pytorch_version: 1.13.0
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda117
context: DOCKERHUB_TOKEN
cu_version: cu117
name: linux_conda_py39_cu117_pyt1130
python_version: '3.9'
pytorch_version: 1.13.0
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda116
context: DOCKERHUB_TOKEN
cu_version: cu116
name: linux_conda_py39_cu116_pyt1131
python_version: '3.9'
pytorch_version: 1.13.1
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda117
context: DOCKERHUB_TOKEN
cu_version: cu117
name: linux_conda_py39_cu117_pyt1131
python_version: '3.9'
pytorch_version: 1.13.1
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda117
context: DOCKERHUB_TOKEN
@ -498,62 +386,6 @@ workflows:
name: linux_conda_py39_cu121_pyt231
python_version: '3.9'
pytorch_version: 2.3.1
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda113
context: DOCKERHUB_TOKEN
cu_version: cu113
name: linux_conda_py310_cu113_pyt1120
python_version: '3.10'
pytorch_version: 1.12.0
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda116
context: DOCKERHUB_TOKEN
cu_version: cu116
name: linux_conda_py310_cu116_pyt1120
python_version: '3.10'
pytorch_version: 1.12.0
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda113
context: DOCKERHUB_TOKEN
cu_version: cu113
name: linux_conda_py310_cu113_pyt1121
python_version: '3.10'
pytorch_version: 1.12.1
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda116
context: DOCKERHUB_TOKEN
cu_version: cu116
name: linux_conda_py310_cu116_pyt1121
python_version: '3.10'
pytorch_version: 1.12.1
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda116
context: DOCKERHUB_TOKEN
cu_version: cu116
name: linux_conda_py310_cu116_pyt1130
python_version: '3.10'
pytorch_version: 1.13.0
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda117
context: DOCKERHUB_TOKEN
cu_version: cu117
name: linux_conda_py310_cu117_pyt1130
python_version: '3.10'
pytorch_version: 1.13.0
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda116
context: DOCKERHUB_TOKEN
cu_version: cu116
name: linux_conda_py310_cu116_pyt1131
python_version: '3.10'
pytorch_version: 1.13.1
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda117
context: DOCKERHUB_TOKEN
cu_version: cu117
name: linux_conda_py310_cu117_pyt1131
python_version: '3.10'
pytorch_version: 1.13.1
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda117
context: DOCKERHUB_TOKEN

4
.circleci/regenerate.py
View File

@ -19,10 +19,6 @@ from packaging import version
# The CUDA versions which have pytorch conda packages available for linux for each
# version of pytorch.
CONDA_CUDA_VERSIONS = {
"1.12.0": ["cu113", "cu116"],
"1.12.1": ["cu113", "cu116"],
"1.13.0": ["cu116", "cu117"],
"1.13.1": ["cu116", "cu117"],
"2.0.0": ["cu117", "cu118"],
"2.0.1": ["cu117", "cu118"],
"2.1.0": ["cu118", "cu121"],

2
INSTALL.md
View File

@ -9,7 +9,7 @@ The core library is written in PyTorch. Several components have underlying imple
- Linux or macOS or Windows
- Python 3.8, 3.9 or 3.10
- PyTorch 1.12.0, 1.12.1, 1.13.0, 2.0.0, 2.0.1, 2.1.0, 2.1.1, 2.1.2, 2.2.0, 2.2.1, 2.2.2, 2.3.0 or 2.3.1.
- PyTorch 2.0.0, 2.0.1, 2.1.0, 2.1.1, 2.1.2, 2.2.0, 2.2.1, 2.2.2, 2.3.0 or 2.3.1.
- torchvision that matches the PyTorch installation. You can install them together as explained at pytorch.org to make sure of this.
- gcc & g++ ≥ 4.9
- [fvcore](https://github.com/facebookresearch/fvcore)