diff --git a/.circleci/config.yml b/.circleci/config.yml index 58be87c9..130b70dd 100644 --- a/.circleci/config.yml +++ b/.circleci/config.yml @@ -162,34 +162,6 @@ workflows: jobs: # - main: # context: DOCKERHUB_TOKEN - - binary_linux_conda: - conda_docker_image: pytorch/conda-builder:cuda117 - context: DOCKERHUB_TOKEN - cu_version: cu117 - name: linux_conda_py38_cu117_pyt200 - python_version: '3.8' - pytorch_version: 2.0.0 - - binary_linux_conda: - conda_docker_image: pytorch/conda-builder:cuda118 - context: DOCKERHUB_TOKEN - cu_version: cu118 - name: linux_conda_py38_cu118_pyt200 - python_version: '3.8' - pytorch_version: 2.0.0 - - binary_linux_conda: - conda_docker_image: pytorch/conda-builder:cuda117 - context: DOCKERHUB_TOKEN - cu_version: cu117 - name: linux_conda_py38_cu117_pyt201 - python_version: '3.8' - pytorch_version: 2.0.1 - - binary_linux_conda: - conda_docker_image: pytorch/conda-builder:cuda118 - context: DOCKERHUB_TOKEN - cu_version: cu118 - name: linux_conda_py38_cu118_pyt201 - python_version: '3.8' - pytorch_version: 2.0.1 - binary_linux_conda: conda_docker_image: pytorch/conda-builder:cuda118 context: DOCKERHUB_TOKEN @@ -302,34 +274,6 @@ workflows: name: linux_conda_py38_cu121_pyt241 python_version: '3.8' pytorch_version: 2.4.1 - - binary_linux_conda: - conda_docker_image: pytorch/conda-builder:cuda117 - context: DOCKERHUB_TOKEN - cu_version: cu117 - name: linux_conda_py39_cu117_pyt200 - python_version: '3.9' - pytorch_version: 2.0.0 - - binary_linux_conda: - conda_docker_image: pytorch/conda-builder:cuda118 - context: DOCKERHUB_TOKEN - cu_version: cu118 - name: linux_conda_py39_cu118_pyt200 - python_version: '3.9' - pytorch_version: 2.0.0 - - binary_linux_conda: - conda_docker_image: pytorch/conda-builder:cuda117 - context: DOCKERHUB_TOKEN - cu_version: cu117 - name: linux_conda_py39_cu117_pyt201 - python_version: '3.9' - pytorch_version: 2.0.1 - - binary_linux_conda: - conda_docker_image: pytorch/conda-builder:cuda118 - context: DOCKERHUB_TOKEN - cu_version: cu118 - name: linux_conda_py39_cu118_pyt201 - python_version: '3.9' - pytorch_version: 2.0.1 - binary_linux_conda: conda_docker_image: pytorch/conda-builder:cuda118 context: DOCKERHUB_TOKEN @@ -442,34 +386,6 @@ workflows: name: linux_conda_py39_cu121_pyt241 python_version: '3.9' pytorch_version: 2.4.1 - - binary_linux_conda: - conda_docker_image: pytorch/conda-builder:cuda117 - context: DOCKERHUB_TOKEN - cu_version: cu117 - name: linux_conda_py310_cu117_pyt200 - python_version: '3.10' - pytorch_version: 2.0.0 - - binary_linux_conda: - conda_docker_image: pytorch/conda-builder:cuda118 - context: DOCKERHUB_TOKEN - cu_version: cu118 - name: linux_conda_py310_cu118_pyt200 - python_version: '3.10' - pytorch_version: 2.0.0 - - binary_linux_conda: - conda_docker_image: pytorch/conda-builder:cuda117 - context: DOCKERHUB_TOKEN - cu_version: cu117 - name: linux_conda_py310_cu117_pyt201 - python_version: '3.10' - pytorch_version: 2.0.1 - - binary_linux_conda: - conda_docker_image: pytorch/conda-builder:cuda118 - context: DOCKERHUB_TOKEN - cu_version: cu118 - name: linux_conda_py310_cu118_pyt201 - python_version: '3.10' - pytorch_version: 2.0.1 - binary_linux_conda: conda_docker_image: pytorch/conda-builder:cuda118 context: DOCKERHUB_TOKEN diff --git a/.circleci/regenerate.py b/.circleci/regenerate.py index 0208de22..02b6f748 100755 --- a/.circleci/regenerate.py +++ b/.circleci/regenerate.py @@ -19,8 +19,6 @@ # The CUDA versions which have pytorch conda packages available for linux for each # version of pytorch. CONDA_CUDA_VERSIONS = { - "2.0.0": ["cu117", "cu118"], - "2.0.1": ["cu117", "cu118"], "2.1.0": ["cu118", "cu121"], "2.1.1": ["cu118", "cu121"], "2.1.2": ["cu118", "cu121"], diff --git a/INSTALL.md b/INSTALL.md index b72a843a..dc0041c3 100644 --- a/INSTALL.md +++ b/INSTALL.md @@ -9,7 +9,7 @@ The core library is written in PyTorch. Several components have underlying imple - Linux or macOS or Windows - Python -- 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. +- 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. - 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 - [ioPath](https://github.com/facebookresearch/iopath)