Transforms v2.RandomRotation fail when expand=True with ValueError(f"Found multiple HxW dimensions in the sample: {sequence_to_str(sorted(sizes))}")

🐛 Describe the bug

Example:

import torchvision
from torchvision.transforms import v2

 transforms = v2.Compose([
        v2.ToImage(),
        v2.RandomRotation(degrees=(-45, 45), expand=True),
    ])

    # Set up COCO dataset

    train_dataset = torchvision.datasets.CocoDetection(coco_img_root, coco_ann_root, transforms=transforms)
    train_dataset = torchvision.datasets.wrap_dataset_for_transforms_v2(train_dataset, target_keys=['boxes', 'labels'])
    img, labels = train_dataset[0]

Suggested Solution

The off by one error is thrown in v2.RandomRotation when expand=True. A similar error is referenced for image rotation in issue #7714, however a similar solution was not implemented for bounding boxes.

The issue can be solved by changing line 837 of torchvision/transforms/v2/functional/_geometry.py
in _affine_bounding_boxes_with_expand().

from:

def _affine_bounding_boxes_with_expand()
...
    if expand:
    ....
    # Estimate meta-data for image with inverted=True
    affine_vector = _get_inverse_affine_matrix(center, angle, translate, scale, shear)
...

to:

def _affine_bounding_boxes_with_expand()
...
    if expand:
    ....
    # Estimate meta-data for image with inverted=True
    affine_vector = _get_inverse_affine_matrix([0, 0], angle, translate, scale, shear)
...

Versions

Collecting environment information...
PyTorch version: 2.4.0+cu124
Is debug build: False
CUDA used to build PyTorch: 12.4
ROCM used to build PyTorch: N/A

OS: Linux Mint 21.3 (x86_64)
GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
Clang version: Could not collect
CMake version: Could not collect
Libc version: glibc-2.35

Python version: 3.11.10 (main, Sep 7 2024, 18:35:41) [GCC 11.4.0] (64-bit runtime)
Python platform: Linux-6.8.0-40-generic-x86_64-with-glibc2.35
Is CUDA available: False
CUDA runtime version: No CUDA
CUDA_MODULE_LOADING set to: N/A
GPU models and configuration: No CUDA
Nvidia driver version: No CUDA
cuDNN version: No CUDA
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

CPU:
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Address sizes: 43 bits physical, 48 bits virtual
Byte Order: Little Endian
CPU(s): 8
On-line CPU(s) list: 0-7
Vendor ID: AuthenticAMD
Model name: AMD Ryzen 5 3500U with Radeon Vega Mobile Gfx
CPU family: 23
Model: 24
Thread(s) per core: 2
Core(s) per socket: 4
Socket(s): 1
Stepping: 1
Frequency boost: enabled
CPU max MHz: 2100.0000
CPU min MHz: 1400.0000
BogoMIPS: 4192.45
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl nonstop_tsc cpuid extd_apicid aperfmperf rapl pni pclmulqdq monitor ssse3 fma cx16 sse4_1 sse4_2 movbe popcnt aes xsave avx f16c rdrand lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw skinit wdt tce topoext perfctr_core perfctr_nb bpext perfctr_llc mwaitx cpb hw_pstate ssbd ibpb vmmcall fsgsbase bmi1 avx2 smep bmi2 rdseed adx smap clflushopt sha_ni xsaveopt xsavec xgetbv1 clzero irperf xsaveerptr arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold avic v_vmsave_vmload vgif overflow_recov succor smca sev sev_es
Virtualization: AMD-V
L1d cache: 128 KiB (4 instances)
L1i cache: 256 KiB (4 instances)
L2 cache: 2 MiB (4 instances)
L3 cache: 4 MiB (1 instance)
NUMA node(s): 1
NUMA node0 CPU(s): 0-7
Vulnerability Gather data sampling: Not affected
Vulnerability Itlb multihit: Not affected
Vulnerability L1tf: Not affected
Vulnerability Mds: Not affected
Vulnerability Meltdown: Not affected
Vulnerability Mmio stale data: Not affected
Vulnerability Reg file data sampling: Not affected
Vulnerability Retbleed: Mitigation; untrained return thunk; SMT vulnerable
Vulnerability Spec rstack overflow: Mitigation; Safe RET
Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl
Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2: Mitigation; Retpolines; IBPB conditional; STIBP disabled; RSB filling; PBRSB-eIBRS Not affected; BHI Not affected
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Not affected

Versions of relevant libraries:
[pip3] numpy==2.1.0
[pip3] torch==2.4.0+cu124
[pip3] torchmetrics==1.4.1
[pip3] torchvision==0.19.0+cu124
[pip3] triton==3.0.0
[conda] Could not collect

Start in torchvision/transforms/v2/functional/_geometry.py at _affine_bounding_boxes_with_expand() and reproduce the provided RandomRotation example with expand=True and COCO bounding boxes. Verify that rotated samples no longer raise the multiple HxW dimensions ValueError and that bounding boxes remain valid after expansion.