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remove pytorch2.0 builds
Summary: these are failing in ci Reviewed By: das-intensity Differential Revision: D62594666 fbshipit-source-id: 5e3a7441be2978803dc2d3e361365e0fffa7ad3b
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.circleci/config.yml

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@@ -162,34 +162,6 @@ workflows:
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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:cuda117
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context: DOCKERHUB_TOKEN
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cu_version: cu117
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name: linux_conda_py38_cu117_pyt200
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python_version: '3.8'
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pytorch_version: 2.0.0
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- binary_linux_conda:
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conda_docker_image: pytorch/conda-builder:cuda118
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context: DOCKERHUB_TOKEN
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cu_version: cu118
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name: linux_conda_py38_cu118_pyt200
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python_version: '3.8'
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pytorch_version: 2.0.0
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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_pyt201
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python_version: '3.8'
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pytorch_version: 2.0.1
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- binary_linux_conda:
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conda_docker_image: pytorch/conda-builder:cuda118
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context: DOCKERHUB_TOKEN
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cu_version: cu118
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name: linux_conda_py38_cu118_pyt201
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python_version: '3.8'
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pytorch_version: 2.0.1
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- binary_linux_conda:
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conda_docker_image: pytorch/conda-builder:cuda118
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context: DOCKERHUB_TOKEN
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name: linux_conda_py38_cu121_pyt241
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python_version: '3.8'
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pytorch_version: 2.4.1
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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_pyt200
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python_version: '3.9'
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pytorch_version: 2.0.0
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- binary_linux_conda:
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conda_docker_image: pytorch/conda-builder:cuda118
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context: DOCKERHUB_TOKEN
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cu_version: cu118
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name: linux_conda_py39_cu118_pyt200
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python_version: '3.9'
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pytorch_version: 2.0.0
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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_pyt201
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python_version: '3.9'
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pytorch_version: 2.0.1
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- binary_linux_conda:
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conda_docker_image: pytorch/conda-builder:cuda118
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context: DOCKERHUB_TOKEN
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cu_version: cu118
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name: linux_conda_py39_cu118_pyt201
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python_version: '3.9'
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pytorch_version: 2.0.1
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- binary_linux_conda:
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conda_docker_image: pytorch/conda-builder:cuda118
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context: DOCKERHUB_TOKEN
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name: linux_conda_py39_cu121_pyt241
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python_version: '3.9'
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pytorch_version: 2.4.1
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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_pyt200
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python_version: '3.10'
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pytorch_version: 2.0.0
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- binary_linux_conda:
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conda_docker_image: pytorch/conda-builder:cuda118
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context: DOCKERHUB_TOKEN
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cu_version: cu118
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name: linux_conda_py310_cu118_pyt200
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python_version: '3.10'
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pytorch_version: 2.0.0
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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_pyt201
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python_version: '3.10'
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pytorch_version: 2.0.1
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- binary_linux_conda:
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conda_docker_image: pytorch/conda-builder:cuda118
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context: DOCKERHUB_TOKEN
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cu_version: cu118
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name: linux_conda_py310_cu118_pyt201
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python_version: '3.10'
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pytorch_version: 2.0.1
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- binary_linux_conda:
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conda_docker_image: pytorch/conda-builder:cuda118
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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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"2.0.0": ["cu117", "cu118"],
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"2.0.1": ["cu117", "cu118"],
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"2.1.0": ["cu118", "cu121"],
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"2.1.1": ["cu118", "cu121"],
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"2.1.2": ["cu118", "cu121"],

INSTALL.md

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- Linux or macOS or Windows
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- Python
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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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- PyTorch 2.1.0, 2.1.1, 2.1.2, 2.2.0, 2.2.1, 2.2.2, 2.3.0, 2.3.1, 2.4.0 or 2.4.1.
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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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- [ioPath](https://github.com/facebookresearch/iopath)

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