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require pytorch 2.0+
Summary: Problems with timeouts on old builds. Reviewed By: MichaelRamamonjisoa Differential Revision: D58819435 fbshipit-source-id: e1976534a102ad3841f3b297c772e916aeea12cb
1 parent 51d7c06 commit 7980854

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‎.circleci/config.yml

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jobs:
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# - main:
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# context: DOCKERHUB_TOKEN
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- binary_linux_conda:
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conda_docker_image: pytorch/conda-builder:cuda113
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context: DOCKERHUB_TOKEN
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cu_version: cu113
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name: linux_conda_py38_cu113_pyt1120
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python_version: '3.8'
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pytorch_version: 1.12.0
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- binary_linux_conda:
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conda_docker_image: pytorch/conda-builder:cuda116
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context: DOCKERHUB_TOKEN
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cu_version: cu116
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name: linux_conda_py38_cu116_pyt1120
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python_version: '3.8'
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pytorch_version: 1.12.0
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- binary_linux_conda:
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conda_docker_image: pytorch/conda-builder:cuda113
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context: DOCKERHUB_TOKEN
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cu_version: cu113
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name: linux_conda_py38_cu113_pyt1121
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python_version: '3.8'
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pytorch_version: 1.12.1
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- binary_linux_conda:
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conda_docker_image: pytorch/conda-builder:cuda116
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context: DOCKERHUB_TOKEN
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cu_version: cu116
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name: linux_conda_py38_cu116_pyt1121
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python_version: '3.8'
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pytorch_version: 1.12.1
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- binary_linux_conda:
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conda_docker_image: pytorch/conda-builder:cuda116
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context: DOCKERHUB_TOKEN
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cu_version: cu116
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name: linux_conda_py38_cu116_pyt1130
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python_version: '3.8'
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pytorch_version: 1.13.0
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- binary_linux_conda:
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conda_docker_image: pytorch/conda-builder:cuda117
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context: DOCKERHUB_TOKEN
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cu_version: cu117
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name: linux_conda_py38_cu117_pyt1130
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python_version: '3.8'
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pytorch_version: 1.13.0
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- binary_linux_conda:
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conda_docker_image: pytorch/conda-builder:cuda116
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context: DOCKERHUB_TOKEN
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cu_version: cu116
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name: linux_conda_py38_cu116_pyt1131
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python_version: '3.8'
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pytorch_version: 1.13.1
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- binary_linux_conda:
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conda_docker_image: pytorch/conda-builder:cuda117
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context: DOCKERHUB_TOKEN
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cu_version: cu117
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name: linux_conda_py38_cu117_pyt1131
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python_version: '3.8'
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pytorch_version: 1.13.1
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- binary_linux_conda:
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conda_docker_image: pytorch/conda-builder:cuda117
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context: DOCKERHUB_TOKEN
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name: linux_conda_py38_cu121_pyt231
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python_version: '3.8'
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pytorch_version: 2.3.1
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- binary_linux_conda:
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conda_docker_image: pytorch/conda-builder:cuda113
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context: DOCKERHUB_TOKEN
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cu_version: cu113
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name: linux_conda_py39_cu113_pyt1120
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python_version: '3.9'
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pytorch_version: 1.12.0
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- binary_linux_conda:
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conda_docker_image: pytorch/conda-builder:cuda116
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context: DOCKERHUB_TOKEN
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cu_version: cu116
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name: linux_conda_py39_cu116_pyt1120
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python_version: '3.9'
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pytorch_version: 1.12.0
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- binary_linux_conda:
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conda_docker_image: pytorch/conda-builder:cuda113
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context: DOCKERHUB_TOKEN
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cu_version: cu113
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name: linux_conda_py39_cu113_pyt1121
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python_version: '3.9'
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pytorch_version: 1.12.1
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- binary_linux_conda:
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conda_docker_image: pytorch/conda-builder:cuda116
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context: DOCKERHUB_TOKEN
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cu_version: cu116
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name: linux_conda_py39_cu116_pyt1121
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python_version: '3.9'
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pytorch_version: 1.12.1
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- binary_linux_conda:
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conda_docker_image: pytorch/conda-builder:cuda116
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context: DOCKERHUB_TOKEN
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cu_version: cu116
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name: linux_conda_py39_cu116_pyt1130
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python_version: '3.9'
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pytorch_version: 1.13.0
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- binary_linux_conda:
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conda_docker_image: pytorch/conda-builder:cuda117
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context: DOCKERHUB_TOKEN
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cu_version: cu117
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name: linux_conda_py39_cu117_pyt1130
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python_version: '3.9'
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pytorch_version: 1.13.0
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- binary_linux_conda:
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conda_docker_image: pytorch/conda-builder:cuda116
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context: DOCKERHUB_TOKEN
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cu_version: cu116
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name: linux_conda_py39_cu116_pyt1131
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python_version: '3.9'
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pytorch_version: 1.13.1
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- binary_linux_conda:
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conda_docker_image: pytorch/conda-builder:cuda117
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context: DOCKERHUB_TOKEN
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cu_version: cu117
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name: linux_conda_py39_cu117_pyt1131
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python_version: '3.9'
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pytorch_version: 1.13.1
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- binary_linux_conda:
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conda_docker_image: pytorch/conda-builder:cuda117
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context: DOCKERHUB_TOKEN
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name: linux_conda_py39_cu121_pyt231
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python_version: '3.9'
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pytorch_version: 2.3.1
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- binary_linux_conda:
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conda_docker_image: pytorch/conda-builder:cuda113
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context: DOCKERHUB_TOKEN
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cu_version: cu113
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name: linux_conda_py310_cu113_pyt1120
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python_version: '3.10'
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pytorch_version: 1.12.0
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- binary_linux_conda:
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conda_docker_image: pytorch/conda-builder:cuda116
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context: DOCKERHUB_TOKEN
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cu_version: cu116
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name: linux_conda_py310_cu116_pyt1120
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python_version: '3.10'
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pytorch_version: 1.12.0
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- binary_linux_conda:
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conda_docker_image: pytorch/conda-builder:cuda113
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context: DOCKERHUB_TOKEN
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cu_version: cu113
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name: linux_conda_py310_cu113_pyt1121
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python_version: '3.10'
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pytorch_version: 1.12.1
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- binary_linux_conda:
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conda_docker_image: pytorch/conda-builder:cuda116
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context: DOCKERHUB_TOKEN
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cu_version: cu116
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name: linux_conda_py310_cu116_pyt1121
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python_version: '3.10'
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pytorch_version: 1.12.1
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- binary_linux_conda:
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conda_docker_image: pytorch/conda-builder:cuda116
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context: DOCKERHUB_TOKEN
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cu_version: cu116
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name: linux_conda_py310_cu116_pyt1130
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python_version: '3.10'
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pytorch_version: 1.13.0
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- binary_linux_conda:
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conda_docker_image: pytorch/conda-builder:cuda117
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context: DOCKERHUB_TOKEN
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cu_version: cu117
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name: linux_conda_py310_cu117_pyt1130
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python_version: '3.10'
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pytorch_version: 1.13.0
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- binary_linux_conda:
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conda_docker_image: pytorch/conda-builder:cuda116
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context: DOCKERHUB_TOKEN
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cu_version: cu116
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name: linux_conda_py310_cu116_pyt1131
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python_version: '3.10'
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pytorch_version: 1.13.1
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- binary_linux_conda:
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conda_docker_image: pytorch/conda-builder:cuda117
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context: DOCKERHUB_TOKEN
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cu_version: cu117
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name: linux_conda_py310_cu117_pyt1131
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python_version: '3.10'
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pytorch_version: 1.13.1
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- binary_linux_conda:
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conda_docker_image: pytorch/conda-builder:cuda117
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context: DOCKERHUB_TOKEN

‎.circleci/regenerate.py

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

‎INSTALL.md

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- Linux or macOS or Windows
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- Python 3.8, 3.9 or 3.10
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- 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.
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- 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.
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- torchvision that matches the PyTorch installation. You can install them together as explained at pytorch.org to make sure of this.
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- gcc & g++ ≥ 4.9
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- [fvcore](https://github.com/facebookresearch/fvcore)

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