builds for PyTorch 2.0.1; drop 1.9

Summary: Drop support for PyTorch 1.9.0 and 1.9.1.

Reviewed By: shapovalov

Differential Revision: D45704329

fbshipit-source-id: c0fe3ecf6a1eb9bcd4163785c0cb4bf4f5060f50

.circleci/config.yml

@@ -180,30 +180,6 @@ workflows:
     jobs:
       # - main:
       #     context: DOCKERHUB_TOKEN
-      - binary_linux_conda:
-          context: DOCKERHUB_TOKEN
-          cu_version: cu102
-          name: linux_conda_py38_cu102_pyt190
-          python_version: '3.8'
-          pytorch_version: 1.9.0
-      - binary_linux_conda:
-          context: DOCKERHUB_TOKEN
-          cu_version: cu111
-          name: linux_conda_py38_cu111_pyt190
-          python_version: '3.8'
-          pytorch_version: 1.9.0
-      - binary_linux_conda:
-          context: DOCKERHUB_TOKEN
-          cu_version: cu102
-          name: linux_conda_py38_cu102_pyt191
-          python_version: '3.8'
-          pytorch_version: 1.9.1
-      - binary_linux_conda:
-          context: DOCKERHUB_TOKEN
-          cu_version: cu111
-          name: linux_conda_py38_cu111_pyt191
-          python_version: '3.8'
-          pytorch_version: 1.9.1
       - binary_linux_conda:
           context: DOCKERHUB_TOKEN
           cu_version: cu102
@@ -370,29 +346,19 @@ workflows:
           python_version: '3.8'
           pytorch_version: 2.0.0
       - binary_linux_conda:
+          conda_docker_image: pytorch/conda-builder:cuda117
           context: DOCKERHUB_TOKEN
-          cu_version: cu102
-          name: linux_conda_py39_cu102_pyt190
-          python_version: '3.9'
-          pytorch_version: 1.9.0
-      - binary_linux_conda:
-          context: DOCKERHUB_TOKEN
-          cu_version: cu111
-          name: linux_conda_py39_cu111_pyt190
-          python_version: '3.9'
-          pytorch_version: 1.9.0
-      - binary_linux_conda:
-          context: DOCKERHUB_TOKEN
-          cu_version: cu102
-          name: linux_conda_py39_cu102_pyt191
-          python_version: '3.9'
-          pytorch_version: 1.9.1
+          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: cu111
-          name: linux_conda_py39_cu111_pyt191
-          python_version: '3.9'
-          pytorch_version: 1.9.1
+          cu_version: cu118
+          name: linux_conda_py38_cu118_pyt201
+          python_version: '3.8'
+          pytorch_version: 2.0.1
       - binary_linux_conda:
           context: DOCKERHUB_TOKEN
           cu_version: cu102
@@ -558,6 +524,20 @@ workflows:
           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:
           context: DOCKERHUB_TOKEN
           cu_version: cu102
@@ -666,6 +646,20 @@ workflows:
           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_cuda:
           name: testrun_conda_cuda_py38_cu102_pyt190
           context: DOCKERHUB_TOKEN

.circleci/regenerate.py

@@ -20,8 +20,6 @@ from packaging import version
 # version of pytorch.
 # Pytorch 1.4 also supports cuda 10.0 but we no longer build for cuda 10.0 at all.
 CONDA_CUDA_VERSIONS = {
-    "1.9.0": ["cu102", "cu111"],
-    "1.9.1": ["cu102", "cu111"],
     "1.10.0": ["cu102", "cu111", "cu113"],
     "1.10.1": ["cu102", "cu111", "cu113"],
     "1.10.2": ["cu102", "cu111", "cu113"],
@@ -31,6 +29,7 @@ CONDA_CUDA_VERSIONS = {
     "1.13.0": ["cu116", "cu117"],
     "1.13.1": ["cu116", "cu117"],
     "2.0.0": ["cu117", "cu118"],
+    "2.0.1": ["cu117", "cu118"],
 }
 
 

INSTALL.md

@@ -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 1.9.0, 1.9.1, 1.10.0, 1.10.1, 1.10.2, 1.11.0, 1.12.0, 1.12.1, 1.13.0 or 2.0.0.
+- PyTorch 1.10.0, 1.10.1, 1.10.2, 1.11.0, 1.12.0, 1.12.1, 1.13.0, 2.0.0 or 2.0.1.
 - 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)