drop support for Python 3.7

.circleci/config.yml.in

@@ -2,8 +2,8 @@ version: 2.1
 
 # How to test the Linux jobs:
 #   - Install CircleCI local CLI: https://circleci.com/docs/2.0/local-cli/
-#   - circleci config process .circleci/config.yml > gen.yml && circleci local execute -c gen.yml --job binary_linux_wheel_py3.7
-#     - Replace binary_linux_wheel_py3.7 with the name of the job you want to test.
+#   - circleci config process .circleci/config.yml > gen.yml && circleci local execute -c gen.yml --job binary_linux_wheel_py3.8
+#     - Replace binary_linux_wheel_py3.8 with the name of the job you want to test.
 #       Job names are 'name:' key.
 
 executors:
@@ -201,7 +201,7 @@ binary_common: &binary_common
       default: ""
     # Don't edit these
     python_version:
-      description: "Python version to build against (e.g., 3.7)"
+      description: "Python version to build against (e.g., 3.8)"
       type: string
     cu_version:
       description: "CUDA version to build against, in CU format (e.g., cpu or cu100)"
@@ -258,7 +258,7 @@ smoke_test_common: &smoke_test_common
 jobs:
   circleci_consistency:
     docker:
-      - image: cimg/python:3.7
+      - image: cimg/python:3.8
     steps:
       - checkout
       - pip_install:
@@ -271,7 +271,7 @@ jobs:
 
   lint_python_and_config:
     docker:
-      - image: cimg/python:3.7
+      - image: cimg/python:3.8
     steps:
       - checkout
       - pip_install:
@@ -290,7 +290,7 @@ jobs:
 
   lint_c:
     docker:
-      - image: cimg/python:3.7
+      - image: cimg/python:3.8
     steps:
       - apt_install:
           args: libtinfo5
@@ -312,7 +312,7 @@ jobs:
 
   type_check_python:
     docker:
-      - image: cimg/python:3.7
+      - image: cimg/python:3.8
     steps:
       - checkout
       - install_torchvision:
@@ -326,7 +326,7 @@ jobs:
 
   unittest_torchhub:
     docker:
-      - image: cimg/python:3.7
+      - image: cimg/python:3.8
     steps:
       - checkout
       - install_torchvision
@@ -335,7 +335,7 @@ jobs:
 
   unittest_onnx:
     docker:
-      - image: cimg/python:3.7
+      - image: cimg/python:3.8
     steps:
       - checkout
       - install_torchvision
@@ -347,7 +347,7 @@ jobs:
 
   unittest_extended:
     docker:
-      - image: cimg/python:3.7
+      - image: cimg/python:3.8
     resource_class: xlarge
     steps:
       - checkout
@@ -594,7 +594,7 @@ jobs:
         description: "What whl subfolder to upload to, e.g., blank or cu100/ (trailing slash is important)"
         type: string
     docker:
-      - image: cimg/python:3.7
+      - image: cimg/python:3.8
     steps:
       - attach_workspace:
           at: ~/workspace
@@ -1017,7 +1017,7 @@ jobs:
   build_docs:
     <<: *binary_common
     docker:
-      - image: cimg/python:3.7
+      - image: cimg/python:3.8
     resource_class: 2xlarge+
     steps:
       - attach_workspace:

.circleci/regenerate.py

@@ -21,7 +21,7 @@
 from jinja2 import select_autoescape
 
 
-PYTHON_VERSIONS = ["3.7", "3.8", "3.9", "3.10"]
+PYTHON_VERSIONS = ["3.8", "3.9", "3.10"]
 
 RC_PATTERN = r"/v[0-9]+(\.[0-9]+)*-rc[0-9]+/"
 
@@ -55,16 +55,16 @@ def build_workflows(prefix="", filter_branch=None, upload=False, indentation=6,
                         ):
                             fb = "main"
                         if not fb and (
-                            os_type == "linux" and cu_version == "cpu" and btype == "wheel" and python_version == "3.7"
+                            os_type == "linux" and cu_version == "cpu" and btype == "wheel" and python_version == "3.8"
                         ):
                             # the fields must match the build_docs "requires" dependency
                             fb = "/.*/"
 
                         # Disable all Linux Wheels Workflows from CircleCI
                         # since those will now be done through Nova. We'll keep
-                        # around the py3.7 Linux Wheels build since the docs
+                        # around the py3.8 Linux Wheels build since the docs
                         # job depends on it.
-                        if os_type == "linux" and btype == "wheel" and python_version != "3.7":
+                        if os_type == "linux" and btype == "wheel" and python_version != "3.8":
                             continue
 
                         # Disable all Macos Wheels Workflows from CircleCI.
@@ -98,7 +98,7 @@ def workflow_pair(btype, os_type, python_version, cu_version, unicode, prefix=""
         )
     )
 
-    # For the remaining py3.7 Linux Wheels job left around for the docs build,
+    # For the remaining py3.8 Linux Wheels job left around for the docs build,
     # we'll disable uploads.
     if os_type == "linux" and btype == "wheel":
         upload = False
@@ -116,9 +116,9 @@ def workflow_pair(btype, os_type, python_version, cu_version, unicode, prefix=""
 def build_doc_job(filter_branch):
     job = {
         "name": "build_docs",
-        "python_version": "3.7",
+        "python_version": "3.8",
         "requires": [
-            "binary_linux_wheel_py3.7_cpu",
+            "binary_linux_wheel_py3.8_cpu",
         ],
     }
 
@@ -131,7 +131,7 @@ def upload_doc_job(filter_branch):
     job = {
         "name": "upload_docs",
         "context": "org-member",
-        "python_version": "3.7",
+        "python_version": "3.8",
         "requires": [
             "build_docs",
         ],

.circleci/unittest/ios/scripts/binary_ios_build.sh

@@ -16,7 +16,7 @@ export PATH="~/anaconda/bin:${PATH}"
 source ~/anaconda/bin/activate
 
 # install dependencies
-conda install numpy ninja pyyaml mkl mkl-include setuptools cmake cffi requests typing_extensions wget --yes
+conda install numpy ninja pyyaml mkl mkl-include setuptools cmake cffi requests wget --yes
 conda install -c conda-forge valgrind --yes
 export CMAKE_PREFIX_PATH=${CONDA_PREFIX:-"$(dirname $(which conda))/../"}
 

.github/workflows/prototype-tests-linux-gpu.yml

@@ -8,7 +8,6 @@ jobs:
     strategy:
       matrix:
         python-version:
-          - "3.7"
           - "3.8"
           - "3.9"
           - "3.10"

.github/workflows/test-linux-cpu.yml

@@ -16,7 +16,7 @@ jobs:
   tests:
     strategy:
       matrix:
-        python_version: ["3.7", "3.8", "3.9", "3.10"]
+        python_version: ["3.8", "3.9", "3.10"]
       fail-fast: false
     uses: pytorch/test-infra/.github/workflows/linux_job.yml@main
     with:

.github/workflows/tests-schedule.yml

@@ -18,7 +18,7 @@ jobs:
       - name: Set up python
         uses: actions/setup-python@v2
         with:
-          python-version: 3.7
+          python-version: 3.8
 
       - name: Upgrade system packages
         run: python -m pip install --upgrade pip setuptools wheel

README.rst

@@ -21,7 +21,7 @@ supported Python versions.
 +--------------------------+--------------------------+---------------------------------+
 | ``torch``                | ``torchvision``          | ``python``                      |
 +==========================+==========================+=================================+
-| ``main`` / ``nightly``   | ``main`` / ``nightly``   | ``>=3.7.2``, ``<=3.10``         |
+| ``main`` / ``nightly``   | ``main`` / ``nightly``   | ``>=3.8``, ``<=3.10``           |
 +--------------------------+--------------------------+---------------------------------+
 | ``1.13.0``               | ``0.14.0``               | ``>=3.7.2``, ``<=3.10``         |
 +--------------------------+--------------------------+---------------------------------+

packaging/pkg_helpers.bash

@@ -150,7 +150,7 @@ retry () {
 }
 
 # Inputs:
-#   PYTHON_VERSION (3.7, 3.8, 3.9)
+#   PYTHON_VERSION (3.8, 3.9, 3.10)
 #   UNICODE_ABI (bool)
 #
 # Outputs:
@@ -169,7 +169,6 @@ setup_wheel_python() {
     # Install native CentOS libJPEG, freetype and GnuTLS
     yum install -y libjpeg-turbo-devel freetype gnutls
     case "$PYTHON_VERSION" in
-      3.7) python_abi=cp37-cp37m ;;
       3.8) python_abi=cp38-cp38 ;;
       3.9) python_abi=cp39-cp39 ;;
       3.10) python_abi=cp310-cp310 ;;

packaging/torchvision/conda_build_config.yaml

@@ -7,7 +7,7 @@ c_compiler:
 cxx_compiler:
   - vs2017                     # [win]
 python:
-  - 3.7
+  - 3.8
 # This differs from target_platform in that it determines what subdir the compiler
 #    will target, not what subdir the compiler package will be itself.
 #    For example, we need a win-64 vs2008_win-32 package, so that we compile win-32

packaging/vs2017/conda_build_config.yaml

@@ -5,7 +5,7 @@ c_compiler:
 cxx_compiler:
   - vs2017                     # [win]
 python:
-  - 3.7
+  - 3.8
 # This differs from target_platform in that it determines what subdir the compiler
 #    will target, not what subdir the compiler package will be itself.
 #    For example, we need a win-64 vs2008_win-32 package, so that we compile win-32

packaging/vs2019/conda_build_config.yaml

@@ -5,7 +5,7 @@ c_compiler:
 cxx_compiler:
   - vs2019                     # [win]
 python:
-  - 3.7
+  - 3.8
 # This differs from target_platform in that it determines what subdir the compiler
 #    will target, not what subdir the compiler package will be itself.
 #    For example, we need a win-64 vs2008_win-32 package, so that we compile win-32

pyproject.toml

@@ -5,7 +5,7 @@ first_party_detection = false
 [tool.black]
 
 line-length = 120
-target-version = ["py37"]
+target-version = ["py38"]
 
 [tool.ufmt]
 

setup.py

@@ -58,7 +58,6 @@ def write_version_file():
     pytorch_dep += "==" + os.getenv("PYTORCH_VERSION")
 
 requirements = [
-    "typing_extensions",
     "numpy",
     "requests",
     pytorch_dep,
@@ -546,7 +545,7 @@ def run(self):
             "scipy": ["scipy"],
         },
         ext_modules=get_extensions(),
-        python_requires=">=3.7.2",
+        python_requires=">=3.8",
         cmdclass={
             "build_ext": BuildExtension.with_options(no_python_abi_suffix=True),
             "clean": clean,

torchvision/prototype/datasets/utils/_resource.py

@@ -2,7 +2,7 @@
 import hashlib
 import itertools
 import pathlib
-from typing import Any, Callable, IO, NoReturn, Optional, Sequence, Set, Tuple, Union
+from typing import Any, Callable, IO, Literal, NoReturn, Optional, Sequence, Set, Tuple, Union
 from urllib.parse import urlparse
 
 from torchdata.datapipes.iter import (
@@ -23,7 +23,6 @@
     download_url,
     extract_archive,
 )
-from typing_extensions import Literal
 
 
 class OnlineResource(abc.ABC):

torchvision/prototype/transforms/_geometry.py

@@ -1,7 +1,7 @@
 import math
 import numbers
 import warnings
-from typing import Any, cast, Dict, List, Optional, Sequence, Tuple, Type, Union
+from typing import Any, cast, Dict, List, Literal, Optional, Sequence, Tuple, Type, Union
 
 import PIL.Image
 import torch
@@ -11,8 +11,6 @@
 from torchvision.prototype.transforms import functional as F, InterpolationMode, Transform
 from torchvision.transforms.functional import _get_perspective_coeffs
 
-from typing_extensions import Literal
-
 from ._transform import _RandomApplyTransform
 from ._utils import (
     _check_padding_arg,

torchvision/prototype/transforms/_utils.py

@@ -1,15 +1,13 @@
 import functools
 import numbers
 from collections import defaultdict
-from typing import Any, Dict, Sequence, Type, TypeVar, Union
+from typing import Any, Dict, Literal, Sequence, Type, TypeVar, Union
 
 from torchvision.prototype import datapoints
 from torchvision.prototype.datapoints._datapoint import FillType, FillTypeJIT
 
 from torchvision.transforms.transforms import _check_sequence_input, _setup_angle, _setup_size  # noqa: F401
 
-from typing_extensions import Literal
-
 
 def _setup_float_or_seq(arg: Union[float, Sequence[float]], name: str, req_size: int = 2) -> Sequence[float]:
     if not isinstance(arg, (float, Sequence)):

torchvision/transforms/functional_pil.py

@@ -1,10 +1,9 @@
 import numbers
-from typing import Any, Dict, List, Optional, Sequence, Tuple, Union
+from typing import Any, Dict, List, Literal, Optional, Sequence, Tuple, Union
 
 import numpy as np
 import torch
 from PIL import Image, ImageEnhance, ImageOps
-from typing_extensions import Literal
 
 try:
     import accimage