remove pytorch2.0 builds

Summary: these are failing in ci Reviewed By: das-intensity Differential Revision: D62594666 fbshipit-source-id: 5e3a7441be2978803dc2d3e361365e0fffa7ad3b

remove pytorch2.0 builds
Summary: these are failing in ci Reviewed By: das-intensity Differential Revision: D62594666 fbshipit-source-id: 5e3a7441be2978803dc2d3e361365e0fffa7ad3b
ab793177 · Jeremy Reizenstein · Facebook GitHub Bot · 9acdd67b · ab793177 · ab793177
Commit ab793177 authored Sep 13, 2024 by Jeremy Reizenstein Committed by Facebook GitHub Bot Sep 13, 2024
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.circleci/config.yml .circleci/config.yml +0 -84

.circleci/regenerate.py .circleci/regenerate.py +0 -2

INSTALL.md INSTALL.md +1 -1

No files found.
--- 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

--- a/.circleci/regenerate.py
+++ b/.circleci/regenerate.py
@@ -19,8 +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 = {
-    "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"],

--- 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)