Merge branch 'main' into sdym/autocast

Author: kit1980

.github/workflows/build-cmake.yml

@@ -21,6 +21,9 @@ jobs:
             gpu-arch-version: "11.8"
       fail-fast: false
     uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
+    permissions:
+      id-token: write
+      contents: read
     with:
       repository: pytorch/vision
       runner: ${{ matrix.runner }}

.github/workflows/docs.yml

@@ -15,6 +15,9 @@ on:
 jobs:
   build:
     uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
+    permissions:
+      id-token: write
+      contents: read
     with:
       repository: pytorch/vision
       upload-artifact: docs
@@ -79,9 +82,10 @@ jobs:
     needs: build
     if: github.repository == 'pytorch/vision' && github.event_name == 'push' &&
         ((github.ref_type == 'branch' && github.ref_name == 'main') || github.ref_type == 'tag')
+    uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
     permissions:
+      id-token: write
       contents: write
-    uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
     with:
       repository: pytorch/vision
       download-artifact: docs

.github/workflows/lint.yml

@@ -12,6 +12,9 @@ on:
 jobs:
   python-source-and-configs:
     uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
+    permissions:
+      id-token: write
+      contents: read
     with:
       repository: pytorch/vision
       test-infra-ref: main
@@ -39,6 +42,9 @@ jobs:
 
   c-source:
     uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
+    permissions:
+      id-token: write
+      contents: read
     with:
       repository: pytorch/vision
       test-infra-ref: main
@@ -66,6 +72,9 @@ jobs:
 
   python-types:
     uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
+    permissions:
+      id-token: write
+      contents: read
     with:
       repository: pytorch/vision
       test-infra-ref: main

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

@@ -24,6 +24,9 @@ jobs:
             gpu-arch-version: "11.8"
       fail-fast: false
     uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
+    permissions:
+      id-token: write
+      contents: read
     with:
       repository: pytorch/vision
       runner: ${{ matrix.runner }}

.github/workflows/tests.yml

@@ -27,6 +27,9 @@ jobs:
             gpu-arch-version: "11.8"
       fail-fast: false
     uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
+    permissions:
+      id-token: write
+      contents: read
     with:
       repository: pytorch/vision
       runner: ${{ matrix.runner }}
@@ -85,6 +88,9 @@ jobs:
             gpu-arch-version: "11.8"
       fail-fast: false
     uses: pytorch/test-infra/.github/workflows/windows_job.yml@main
+    permissions:
+      id-token: write
+      contents: read
     with:
       repository: pytorch/vision
       runner: ${{ matrix.runner }}
@@ -105,6 +111,9 @@ jobs:
 
   onnx:
     uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
+    permissions:
+      id-token: write
+      contents: read
     with:
       repository: pytorch/vision
       test-infra-ref: main
@@ -136,6 +145,9 @@ jobs:
 
   unittests-extended:
     uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
+    permissions:
+      id-token: write
+      contents: read
     if: contains(github.event.pull_request.labels.*.name, 'run-extended')
     with:
       repository: pytorch/vision

docs/source/models.rst

@@ -172,7 +172,11 @@ Most pre-trained models can be accessed directly via PyTorch Hub without having
     model = torch.hub.load("pytorch/vision", "resnet50", weights="IMAGENET1K_V2")
 
     # Option 2: passing weights param as enum
-    weights = torch.hub.load("pytorch/vision", "get_weight", weights="ResNet50_Weights.IMAGENET1K_V2")
+    weights = torch.hub.load(
+        "pytorch/vision",
+        "get_weight",
+        weights="ResNet50_Weights.IMAGENET1K_V2",
+    )
     model = torch.hub.load("pytorch/vision", "resnet50", weights=weights)
 
 You can also retrieve all the available weights of a specific model via PyTorch Hub by doing:

test/smoke_test.py

@@ -2,6 +2,7 @@
 
 import os
 import sys
+import sysconfig
 from pathlib import Path
 
 import torch
@@ -134,8 +135,8 @@ def main() -> None:
         smoke_test_torchvision_decode_jpeg("cuda")
         smoke_test_torchvision_resnet50_classify("cuda")
 
-        # TODO: remove once pytorch/pytorch#110436 is resolved
-        if sys.version_info < (3, 12, 0):
+        #  torch.compile is not supported on Python 3.14+ and Python built with GIL disabled
+        if sys.version_info < (3, 14, 0) and not sysconfig.get_config_var("Py_GIL_DISABLED"):
             smoke_test_compile()
 
     if torch.backends.mps.is_available():